New SAA-C03 Dumps For Preparing AWS Certified Solutions Architect Certified Amazon Exam Well [Q186-Q209]

New SAA-C03 Dumps For Preparing AWS Certified Solutions Architect Certified Amazon Exam Well

Updated SAA-C03 Dumps Questions Are Available [2024] For Passing Amazon Exam

NEW QUESTION # 186
A company has a three-tier web application that is deployed on AWS. The web servers are deployed in a public subnet in a VPC. The application servers and database servers are deployed in private subnets in the same VPC. The company has deployed a third-party virtual firewall appliance from AWS Marketplace in an inspection VPC. The appliance is configured with an IP interface that can accept IP packets.
A solutions architect needs to Integrate the web application with the appliance to inspect all traffic to the application before the traffic teaches the web server. Which solution will moot these requirements with the LEAST operational overhead?

• A. Create an Application Load Balancer in the public subnet of the application's VPC to route the traffic to the appliance for packet inspection
• B. Deploy a transit gateway m the inspection VPC Configure route tables to route the incoming pockets through the transit gateway
• C. Create a Network Load Balancer the public subnet of the application's VPC to route the traffic lo the appliance for packet inspection
• D. Deploy a Gateway Load Balancer in the inspection VPC Create a Gateway Load Balancer endpoint to receive the incoming packets and forward the packets to the appliance

Answer: D

Explanation:
https://aws.amazon.com/blogs/networking-and-content-delivery/scaling-network-traffic-inspection-using-aws-ga

NEW QUESTION # 187
A tech company is currently using Auto Scaling for their web application. A new AMI now needs to be used for launching a fleet of EC2 instances.
Which of the following changes needs to be done?

• A. Do nothing. You can start directly launching EC2 instances in the Auto Scaling group with the same launch configuration.
• B. Create a new launch configuration.
• C. Create a new target group.
• D. Create a new target group and launch configuration.

Answer: B

Explanation:
A launch configuration is a template that an Auto Scaling group uses to launch EC2 instances. When you create a launch configuration, you specify information for the instances such as the ID of the Amazon Machine Image (AMI), the instance type, a key pair, one or more security groups, and a block device mapping. If you've launched an EC2 instance before, you specified the same information in order to launch the instance.

You can specify your launch configuration with multiple Auto Scaling groups. However, you can only specify one launch configuration for an Auto Scaling group at a time, and you can't modify a launch configuration after you've created it. Therefore, if you want to change the launch configuration for an Auto Scaling group, you must create a launch configuration and then update your Auto Scaling group with the new launch configuration.
For this scenario, you have to create a new launch configuration. Remember that you can't modify a launch configuration after you've created it.
Hence, the correct answer is: Create a new launch configuration.
The option that says: Do nothing. You can start directly launching EC2 instances in the Auto Scaling group with the same launch configuration is incorrect because what you are trying to achieve is change the AMI being used by your fleet of EC2 instances. Therefore, you need to change the launch configuration to update what your instances are using.
The option that says: create a new target group and create a new target group and launch configuration are both incorrect because you only want to change the AMI being used by your instances, and not the instances themselves. Target groups are primarily used in ELBs and not in Auto Scaling. The scenario didn't mention that the architecture has a load balancer. Therefore, you should be updating your launch configuration, not the target group.
References:
http://docs.aws.amazon.com/autoscaling/latest/userguide/LaunchConfiguration.html
https://docs.aws.amazon.com/autoscaling/ec2/userguide/AutoScalingGroup.html Check out this AWS Auto Scaling Cheat Sheet: https://tutorialsdojo.com/aws-auto-scaling/

NEW QUESTION # 188
A solutions architect wants to use the following JSON text as an identity-based policy to grant specific permissions:

Which IAM principals can the solutions architect attach this policy to? (Select TWO.)

• A. Amazon EC2 resource
• B. Role
• C. Group
• D. Amazon Elastic Container Service (Amazon ECS) resource
• E. Organization

Answer: B,C

Explanation:
This JSON text is an identity-based policy that grants specific permissions. The IAM principals that the solutions architect can attach this policy to are Role and Group. This is because the policy is written in JSON and is an identity-based policy, which can be attached to IAM principals such as users, groups, and roles. Identity-based policies are permissions policies that you attach to IAM identities (users, groups, or roles) and explicitly state what that identity is allowed (or denied) to do1. Identity-based policies are different from resource-based policies, which define the permissions around the specific resource1. Resource-based policies are attached to a resource, such as an Amazon S3 bucket or an Amazon EC2 instance1. Resource-based policies can also specify a principal, which is the entity that is allowed or denied access to the resource1. Organization is not an IAM principal, but a feature of AWS Organizations that allows you to manage multiple AWS accounts centrally2. Amazon ECS resource and Amazon EC2 resource are not IAM principals, but AWS resources that can have resource-based policies attached to them34.
References:
* Identity-based policies and resource-based policies
* AWS Organizations
* Amazon ECS task role
* Amazon EC2 instance profile

NEW QUESTION # 189
A company recently launched an e-commerce application that is running in eu-east-2 region, which strictly requires six EC2 instances running at all times. In that region, there are 3 Availability Zones (AZ) that you can use - eu-east-2a, eu-east-2b, and eu-east-2c.
Which of the following deployments provide 100% fault tolerance if any single AZ in the region becomes unavailable? (Select TWO.)

• A. eu-east-2a with two EC2 instances, eu-east-2b with four EC2 instances, and eu-east-2c with two EC2 instances
• B. eu-east-2a with three EC2 instances, eu-east-2b with three EC2 instances, and eu-east-2c with three EC2 instances
• C. eu-east-2a with six EC2 instances, eu-east-2b with six EC2 instances, and eu-east-2c with no EC2 instances
• D. eu-east-2a with four EC2 instances, eu-east-2b with two EC2 instances, and eu-east-2c with two EC2 instances
• E. eu-east-2a with two EC2 instances, eu-east-2b with two EC2 instances, and eu-east-2c with two EC2 instances

Answer: B,C

Explanation:
Fault Tolerance is the ability of a system to remain in operation even if some of the components used to build the system fail. In AWS, this means that in the event of server fault or system failures, the number of running EC2 instances should not fall below the minimum number of instances required by the system for it to work properly. So if the application requires a minimum of 6 instances, there should be at least 6 instances running in case there is an outage in one of the Availability Zones or if there are server issues.


In this scenario, you have to simulate a situation where one Availability Zone became unavailable for each option and check whether it still has 6 running instances.
Hence, the correct answers are: eu-east-2a with six EC2 instances, eu-east-2b with six EC2 instances, and eu-east-2c with no EC2 instances and eu-east-2a with three EC2 instances, eu-east-2b with three EC2 instances, and eu-east-2c with three EC2 instances because even if one of the availability zones were to go down, there would still be 6 active instances.
Reference:
https://media.amazonwebservices.com/AWS_Building_Fault_Tolerant_Applications.pdf

NEW QUESTION # 190
A Solutions Architect is developing a three-tier cryptocurrency web application for a FinTech startup.
The Architect has been instructed to restrict access to the database tier to only accept traffic from the application-tier and deny traffic from other sources. The application-tier is composed of application servers hosted in an Auto Scaling group of EC2 instances.
Which of the following options is the MOST suitable solution to implement in this scenario?

• A. Set up the security group of the database tier to allow database traffic from the security group of the application servers.
• B. Set up the security group of the database tier to allow database traffic from a specified list of application server IP addresses.
• C. Set up the Network ACL of the database subnet to allow inbound database traffic from the subnet of the application-tier.
• D. Set up the Network ACL of the database subnet to deny all inbound non-database traffic from the subnet of the application-tier.

Answer: A

Explanation:
A security group acts as a virtual firewall for your instance to control inbound and outbound traffic. When you launch an instance in a VPC, you can assign up to five security groups to the instance. Security groups act at the instance level, not the subnet level. Therefore, each instance in a subnet in your VPC could be assigned to a different set of security groups. If you don't specify a particular group at launch time, the instance is automatically assigned to the default security group for the VPC.

For each security group, you add rules that control the inbound traffic to instances, and a separate set of rules that control the outbound traffic. This section describes the basic things you need to know about security groups for your VPC and their rules.
You can add or remove rules for a security group which is also referred to as authorizing or revoking inbound or outbound access. A rule applies either to inbound traffic (ingress) or outbound traffic (egress).
You can grant access to a specific CIDR range, or to another security group in your VPC or in a peer VPC (requires a VPC peering connection).
In the scenario, the servers of the application-tier are in an Auto Scaling group which means that the number of EC2 instances could grow or shrink over time. An Auto Scaling group could also cover one or more Availability Zones (AZ) which have their own subnets. Hence, the most suitable solution would be to set up the security group of the database tier to allow database traffic from the security group of the application servers since you can utilize the security group of the application-tier Auto Scaling group as the source for the security group rule in your database tier.
Setting up the security group of the database tier to allow database traffic from a specified list of application server IP addresses is incorrect because the list of application server IP addresses will change over time since an Auto Scaling group can add or remove EC2 instances based on the configured scaling policy. This will create inconsistencies in your application because the newly launched instances, which are not included in the initial list of IP addresses, will not be able to access the database.
Setting up the Network ACL of the database subnet to deny all inbound non-database traffic from the subnet of the application-tier is incorrect because doing this could affect the other EC2 instances of other applications, which are also hosted in the same subnet of the application-tier. For example, a large subnet with a CIDR block of /16 could be shared by several applications. Denying all inbound non- database traffic from the entire subnet will impact other applications which use this subnet.
Setting up the Network ACL of the database subnet to allow inbound database traffic from the subnet of the application-tier is incorrect because although this solution can work, the subnet of the application-tier could be shared by another tier or another set of EC2 instances other than the application-tier. This means that you would inadvertently be granting database access to unauthorized servers hosted in the same subnet other than the application-tier.
References:
https://docs.aws.amazon.com/vpc/latest/userguide/VPC_Security.html#VPC_Security_Comparison
http://docs.aws.amazon.com/AmazonVPC/latest/UserGuide/VPC_SecurityGroups.html Check out this Amazon VPC Cheat Sheet:
https://tutorialsdojo.com/amazon-vpc/

NEW QUESTION # 191
An ecommerce company is experiencing an increase in user traffic. The company's store is deployed on Amazon EC2 instances as a two-tier web application consisting of a web tier and a separate database tiar. As traffic increases, the company notices that the architecture is causing significant (Mays in sending timely marketing and ordar confirmation email to users. The company wants to reduce the time it spends resolving complex email delivery issues and minimize operational overhead.
What should a solutions architect do to meet these requirements?

• A. Create a separata application tier using EC2 instances dedicated to email processing.
• B. Configure the web instance to send email through Amazon Simple Notification Service (Amazon SNS)
• C. Create a separate application tier using EC2 instances dedicated to email processing. Place the instances in an Auto Scaling group.
• D. Configure the web instance to send email through Amazon Simple Email Service (Amazon SES).

Answer: D

NEW QUESTION # 192
An application is hosted in AWS Fargate and uses RDS database in Multi-AZ Deployments configuration with several Read Replicas. A Solutions Architect was instructed to ensure that all of their database credentials, API keys, and other secrets are encrypted and rotated on a regular basis to improve data security. The application should also use the latest version of the encrypted credentials when connecting to the RDS database.
Which of the following is the MOST appropriate solution to secure the credentials?

• A. Store the database credentials, API keys, and other secrets to Systems Manager Parameter Store each with a SecureString data type. The credentials are automatically rotated by default.
• B. Use AWS Secrets Manager to store and encrypt the database credentials, API keys, and other secrets. Enable automatic rotation for all of the credentials.
• C. Store the database credentials, API keys, and other secrets to AWS ACM.
• D. Store the database credentials, API keys, and other secrets in AWS KMS.

Answer: B

Explanation:
AWS Secrets Manager is an AWS service that makes it easier for you to manage secrets. Secrets can be database credentials, passwords, third-party API keys, and even arbitrary text. You can store and control access to these secrets centrally by using the Secrets Manager console, the Secrets Manager command line interface (CLI), or the Secrets Manager API and SDKs.
In the past, when you created a custom application that retrieves information from a database, you typically had to embed the credentials (the secret) for accessing the database directly in the application.
When it came time to rotate the credentials, you had to do much more than just create new credentials.
You had to invest time to update the application to use the new credentials. Then you had to distribute the updated application. If you had multiple applications that shared credentials and you missed updating one of them, the application would break. Because of this risk, many customers have chosen not to regularly rotate their credentials, which effectively substitutes one risk for another.

Secrets Manager enables you to replace hardcoded credentials in your code (including passwords), with an API call to Secrets Manager to retrieve the secret programmatically. This helps ensure that the secret can't be compromised by someone examining your code, because the secret simply isn't there. Also, you can configure Secrets Manager to automatically rotate the secret for you according to a schedule that you specify. This enables you to replace long-term secrets with short-term ones, which helps to significantly reduce the risk of compromise.
Hence, the most appropriate solution for this scenario is: Use AWS Secrets Manager to store and encrypt the database credentials, API keys, and other secrets. Enable automatic rotation for all of the credentials.
The option that says: Store the database credentials, API keys, and other secrets to Systems Manager Parameter Store each with a SecureString data type. The credentials are automatically rotated by default is incorrect because Systems Manager Parameter Store doesn't rotate its parameters by default.
The option that says: Store the database credentials, API keys, and other secrets to AWS ACM is incorrect because it is just a managed private CA service that helps you easily and securely manage the lifecycle of your private certificates to allow SSL communication to your application. This is not a suitable service to store database or any other confidential credentials.
The option that says: Store the database credentials, API keys, and other secrets in AWS KMS is incorrect because this only makes it easy for you to create and manage encryption keys and control the use of encryption across a wide range of AWS services. This is primarily used for encryption and not for hosting your credentials.
References:
https://aws.amazon.com/secrets-manager/
https://aws.amazon.com/blogs/security/how-to-securely-provide-database-credentials-to-lambda-function s-by-using-aws-secrets-manager/ Check out these AWS Secrets Manager and Systems Manager Cheat Sheets:
https://tutorialsdojo.com/aws-secrets-manager/ https://tutorialsdojo.com/aws-systems-manager/ AWS Security Services Overview - Secrets Manager, ACM, Macie:
https://www.youtube.com/watch?v=ogVamzF2Dzk

NEW QUESTION # 193
A global company runs its applications in multiple AWS accounts in AWS Organizations. The company's applications use multipart uploads to upload data to multiple Amazon S3 buckets across AWS Regions. The company wants to report on incomplete multipart uploads for cost compliance purposes.
Which solution will meet these requirements with the LEAST operational overhead?

• A. Configure S3 Storage Lens to report the incomplete multipart upload object count.
• B. Create an S3 Multi-Region Access Point to report the incomplete multipart upload object count.
• C. Configure AWS Config with a rule to report the incomplete multipart upload object count.
• D. Create a service control policy (SCP) to report the incomplete multipart upload object count.

Answer: A

NEW QUESTION # 194
A company runs its two-tier ecommerce website on AWS. The web tier consists of a load balancer that sends traffic to Amazon EC2 instances. The database tier uses an Amazon RDS DB instance. The EC2 instances and the RDS DB instance should not be exposed to the public internet. The EC2 instances require internet access to complete payment processing of orders through a third-party web service. The application must be highly available.
Which combination of configuration options will meet these requirements? (Choose two.)

• A. Configure a VPC with one public subnet, one private subnet, and two NAT gateways across two Availability Zones. Deploy an Application Load Balancer in the public subnet.
• B. Configure a VPC with two private subnets and two NAT gateways across two Availability Zones.
  Deploy an Application Load Balancer in the private subnets.
• C. Use an Auto Scaling group to launch the EC2 instances in public subnets across two Availability Zones.
  Deploy an RDS Multi-AZ DB instance in private subnets.
• D. Configure a VPC with two public subnets, two private subnets, and two NAT gateways across two Availability Zones. Deploy an Application Load Balancer in the public subnets.
• E. Use an Auto Scaling group to launch the EC2 instances in private subnets. Deploy an RDS Multi-AZ DB instance in private subnets.

Answer: D,E

Explanation:
Before you begin: Decide which two Availability Zones you will use for your EC2 instances. Configure your virtual private cloud (VPC) with at least one public subnet in each of these Availability Zones. These public subnets are used to configure the load balancer. You can launch your EC2 instances in other subnets of these Availability Zones instead.

NEW QUESTION # 195
A company runs its two-tier ecommerce website on AWS. The web tier consists of a load balancer that sends traffic to Amazon EC2 instances. The database tier uses an Amazon RDS DB instance. The EC2 instances and the RDS DB instance should not be exposed to the public internet. The EC2 instances require internet access to complete payment processing of orders through a third-party web service. The application must be highly available.
Which combination of configuration options will meet these requirements? (Choose two.)

• A. Configure a VPC with one public subnet, one private subnet, and two NAT gateways across two Availability Zones. Deploy an Application Load Balancer in the public subnet.
• B. Configure a VPC with two private subnets and two NAT gateways across two Availability Zones.
  Deploy an Application Load Balancer in the private subnets.
• C. Use an Auto Scaling group to launch the EC2 instances in public subnets across two Availability Zones.
  Deploy an RDS Multi-AZ DB instance in private subnets.
• D. Configure a VPC with two public subnets, two private subnets, and two NAT gateways across two Availability Zones. Deploy an Application Load Balancer in the public subnets.
• E. Use an Auto Scaling group to launch the EC2 instances in private subnets. Deploy an RDS Multi-AZ DB instance in private subnets.

Answer: D,E

Explanation:
Explanation
Before you begin: Decide which two Availability Zones you will use for your EC2 instances. Configure your virtual private cloud (VPC) with at least one public subnet in each of these Availability Zones. These public subnets are used to configure the load balancer. You can launch your EC2 instances in other subnets of these Availability Zones instead.

NEW QUESTION # 196
A company plans to use a durable storage service to store on-premises database backups to the AWS cloud. To move their backup data, they need to use a service that can store and retrieve objects through standard file storage protocols for quick recovery.
Which of the following options will meet this requirement?

• A. Use the AWS Storage Gateway volume gateway to store the backup data and directly access it using Amazon S3 API actions.
• B. Use Amazon EBS volumes to store all the backup data and attach it to an Amazon EC2 instance.
• C. Use AWS Snowball Edge to directly backup the data in Amazon S3 Glacier.
• D. Use the AWS Storage Gateway file gateway to store all the backup data in Amazon S3.

Answer: D

Explanation:
File Gateway presents a file-based interface to Amazon S3, which appears as a network file share. It enables you to store and retrieve Amazon S3 objects through standard file storage protocols. File Gateway allows your existing file-based applications or devices to use secure and durable cloud storage without needing to be modified. With File Gateway, your configured S3 buckets will be available as Network File System (NFS) mount points or Server Message Block (SMB) file shares. img src='https://d1.awsstatic.com/cloud-storage/File-Gateway-How-it-Works.6a5ce3c54688864e5b951df9cb8732c4f2926b4.png'>
To store the backup data from on-premises to a durable cloud storage service, you can use File Gateway to store and retrieve objects through standard file storage protocols (SMB or NFS). File Gateway enables your existing file-based applications, devices, and workflows to use Amazon S3, without modification. File Gateway securely and durably stores both file contents and metadata as objects while providing your on-premises applications low-latency access to cached data.
Hence, the correct answer is: Use the AWS Storage Gateway file gateway to store all the backup data in Amazon S3.
The option that says: Use the AWS Storage Gateway volume gateway to store the backup data and directly access it using Amazon S3 API actions is incorrect. Although this is a possible solution, you cannot directly access the volume gateway using Amazon S3 APIs. You should use File Gateway to access your data in Amazon S3.
The option that says: Use Amazon EBS volumes to store all the backup data and attached it to an Amazon EC2 instance is incorrect. Take note that in the scenario, you are required to store the backup data in a durable storage service. An Amazon EBS volume is not highly durable like Amazon S3. Also, file storage protocols such as NFS or SMB, are not directly supported by EBS.
The option that says: Use AWS Snowball Edge to directly backup the data in Amazon S3 Glacier is incorrect because AWS Snowball Edge cannot store and retrieve objects through standard file storage protocols. Also, Snowball Edge can't directly integrate backups to S3 Glacier. References:
https://aws.amazon.com/storagegateway/faqs/
https://aws.amazon.com/s3/storage-classes/
Check out this AWS Storage Gateway Cheat Sheet:
https://tutorialsdojo.com/aws-storage-gateway/

NEW QUESTION # 197
A company has a web application with sporadic usage patterns There is heavy usage at the beginning of each month moderate usage at the start of each week and unpredictable usage during the week The application consists of a web server and a MySQL database server running inside the data center The company would like to move the application to the AWS Cloud and needs to select a cost-effective database platform that will not require database modifications Which solution will meet these requirements?

• A. MySQL-compatible Amazon Aurora Serverless
• B. Amazon DynamoDB
• C. MySQL deployed on Amazon EC2 in an Auto Scaling group
• D. Amazon RDS for MySQL

Answer: A

Explanation:
Amazon RDS for MySQL is a fully-managed relational database service that makes it easy to set up, operate, and scale MySQL deployments in the cloud. Amazon Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora (MySQL-compatible edition), where the database will automatically start up, shut down, and scale capacity up or down based on your application's needs. It is a simple, cost-effective option for infrequent, intermittent, or unpredictable workloads.

NEW QUESTION # 198
A company hosts an internal serverless application on AWS by using Amazon API Gateway and AWS Lambd a. The company's employees report issues with high latency when they begin using the application each day. The company wants to reduce latency.
Which solution will meet these requirements?

• A. Set up a scheduled scaling to increase Lambda provisioned concurrency before employees begin to use the application each day.
• B. Increase the Lambda function memory.
• C. Increase the API Gateway throttling limit.
• D. Create an Amazon CloudWatch alarm to initiate a Lambda function as a target for the alarm at the beginning of each day.

Answer: A

Explanation:
AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers. Lambda scales automatically based on the incoming requests, but it may take some time to initialize new instances of your function if there is a sudden increase in demand. This may result in high latency or cold starts for your application. To avoid this, you can use provisioned concurrency, which ensures that your function is initialized and ready to respond at any time. You can also set up a scheduled scaling policy that increases the provisioned concurrency before employees begin to use the application each day, and decreases it when the demand is low. Reference: https://docs.aws.amazon.com/lambda/latest/dg/configuration-concurrency.html

NEW QUESTION # 199
A company has a three-tier web application that is deployed on AWS. The web servers are deployed in a public subnet in a VPC. The application servers and database servers are deployed in private subnets in the same VPC. The company has deployed a third-party virtual firewall appliance from AWS Marketplace in an inspection VPC. The appliance is configured with an IP interface that can accept IP packets.
A solutions architect needs to Integrate the web application with the appliance to inspect all traffic to the application before the traffic teaches the web server. Which solution will moot these requirements with the LEAST operational overhead?

• A. Create an Application Load Balancer in the public subnet of the application's VPC to route the traffic to the appliance for packet inspection
• B. Deploy a transit gateway m the inspection VPC Configure route tables to route the incoming pockets through the transit gateway
• C. Create a Network Load Balancer the public subnet of the application's VPC to route the traffic lo the appliance for packet inspection
• D. Deploy a Gateway Load Balancer in the inspection VPC Create a Gateway Load Balancer endpoint to receive the incoming packets and forward the packets to the appliance

Answer: D

Explanation:
https://aws.amazon.com/blogs/networking-and-content-delivery/scaling-network-traffic-inspection-using-aws-gateway-load-balancer/

NEW QUESTION # 200
A solutions architect is creating a new VPC design There are two public subnets for the load balancer, two private subnets for web servers and two private subnets for MySQL The web servers use only HTTPS The solutions architect has already created a security group tor the load balancer allowing port 443 from 0 0 0 0/0 Company policy requires that each resource has the teas! access required to still be able to perform its tasks Which additional configuration strategy should the solutions architect use to meet these requirements?

• A. Create a network ACL for the web servers and allow port 443 from 0.0.0.0/0 Create a network ACL (or the MySQL servers and allow port 3306 from the web servers security group
• B. Create a security group for the web servers and allow port 443 from the load balancer Create a security group for the MySQL servers and allow port 3306 from the web servers security group
• C. Create a network ACL 'or the web servers and allow port 443 from the load balancer Create a network ACL for the MySQL servers and allow port 3306 from the web servers security group
• D. Create a security group for the web servers and allow port 443 from 0.0.0.0/0 Create a security group for the MySQL servers and allow port 3306 from the web servers security group

Answer: B

Explanation:
This answer is correct because it provides a resilient and durable replacement for the on-premises file share that is compatible with Windows IIS web servers. Amazon FSx for Windows File Server is a fully managed service that provides shared file storage built on Windows Server. It supports the SMB protocol and integrates with Microsoft Active Directory, which enables seamless access and authentication for Windows-based applications. Amazon FSx for Windows File Server also offers the following benefits:
Resilience: Amazon FSx for Windows File Server can be deployed in multiple Availability Zones, which provides high availability and failover protection. It also supports automatic backups and restores, as well as self-healing features that detect and correct issues.
Durability: Amazon FSx for Windows File Server replicates data within and across Availability Zones, and stores data on highly durable storage devices. It also supports encryption at rest and in transit, as well as file access auditing and data deduplication.
Performance: Amazon FSx for Windows File Server delivers consistent sub-millisecond latencies and high throughput for file operations. It also supports SSD storage, native Windows features such as Distributed File System (DFS) Namespaces and Replication, and user-driven performance scaling.
By configuring the Amazon FSx file share to use an AWS KMS CMK to encrypt the images in the file share, the company can protect the images from unauthorized access and comply with company policy. By using NTFS permission sets on the images, the company can prevent accidental deletion of the images by restricting who can modify or delete them.
References:
Amazon FSx for Windows File Server
Using Microsoft Windows file shares

NEW QUESTION # 201
A company is developing a new machine learning (ML) model solution on AWS. The models are developed as independent microservices that fetch approximately 1 GB of model data from Amazon $3 at startup and load the data into memory. Users access the models through an asynchronous API. Users can send a request or a batch of requests and specify where the results should be sent.
The company provides models to hundreds of users. The usage patterns for the models are irregular. Some models could be unused for days or weeks. Other models could receive batches of thousands of requests at a time.
Which design should a solutions architect recommend to meet these requirements?

• A. Direct the requests from the API to a Network Load Balancer (NLB). Deploy the models as AWS Lambda functions that are invoked by the NLB.
• B. Direct the requests from the API to an Application Load Balancer (ALB). Deploy the models as Amazon Elastic Container Service (Amazon ECS) services that read from an Amazon Simple Queue Service (Amazon SQS) queue. Use AWS App Mesh to scale the instances of the ECS cluster based on the SQS queue size.
• C. Direct the requests from the API into an Amazon Simple Queue Service (Amazon SQS) queue. Deploy the models as Amazon Elastic Container Service (Amazon ECS) services that read from the queue. Enable AWS Auto Scaling on Amazon ECS for both the cluster and copies of the service based on the queue size.
• D. Direct the requests from the API into an Amazon Simple Queue Service (Amazon SQS) queue. Deploy the models as AWS Lambda functions that are invoked by SQS events. Use AWS Auto Scaling to increase the number of vCPUs for the Lambda functions based on the SQS queue size.

Answer: C

Explanation:
This answer is correct because it meets the requirements of running the ML models as independent microservices that can handle irregular and unpredictable usage patterns. By directing the requests from the API into an Amazon SQS queue, the company can decouple the request processing from the model execution, and ensure that no requests are lost due to spikes in demand. By deploying the models as Amazon ECS services that read from the queue, the company can leverage containers to isolate and package each model as a microservice, and fetch the model data from S3 at startup. By enabling AWS Auto Scaling on Amazon ECS for both the cluster and copies of the service based on the queue size, the company can automatically scale up or down the number of EC2 instances in the cluster and the number of tasks in each service to match the demand and optimize performance.
Reference:
https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/welcome.html
https://docs.aws.amazon.com/AmazonECS/latest/developerguide/Welcome.html
https://docs.aws.amazon.com/autoscaling/ec2/userguide/autoscaling-ecs.html

NEW QUESTION # 202
A company runs an application using Amazon ECS. The application creates esi/ed versions of an original image and then makes Amazon S3 API calls to store the resized images in Amazon S3.
How can a solutions architect ensure that the application has permission to access Amazon S3?

• A. Create an IAM role with S3 permissions, and then specify that role as the taskRoleAm in the task definition.
• B. Create a security group that allows access from Amazon ECS to Amazon S3, and update the launch configuration used by the ECS cluster.
• C. Update the S3 role in AWS IAM to allow read/write access from Amazon ECS, and then relaunch the container.
• D. Create an IAM user with S3 permissions, and then relaunch the Amazon EC2 instances for the ECS cluster while logged in as this account.

Answer: A

NEW QUESTION # 203
A company is planning to deploy a High Performance Computing (HPC) cluster in its VPC that requires a scalable, high-performance file system. The storage service must be optimized for efficient workload processing, and the data must be accessible via a fast and scalable file system interface. It should also work natively with Amazon S3 that enables you to easily process your S3 data with a high- performance POSIX interface.
Which of the following is the MOST suitable service that you should use for this scenario?

• A. Amazon FSx for Lustre
• B. Amazon Elastic Block Storage (EBS)
• C. Amazon FSx for Windows File Server
• D. Amazon Elastic File System (EFS)

Answer: A

Explanation:
Amazon FSx for Lustre provides a high-performance file system optimized for fast processing of workloads such as machine learning, high performance computing (HPC), video processing, financial modeling, and electronic design automation (EDA). These workloads commonly require data to be presented via a fast and scalable file system interface, and typically have data sets stored on long-term data stores like Amazon S3.
Operating high-performance file systems typically require specialized expertise and administrative overhead, requiring you to provision storage servers and tune complex performance parameters. With Amazon FSx, you can launch and run a file system that provides sub-millisecond access to your data and allows you to read and write data at speeds of up to hundreds of gigabytes per second of throughput and millions of IOPS.
Amazon FSx for Lustre works natively with Amazon S3, making it easy for you to process cloud data sets with high-performance file systems. When linked to an S3 bucket, an FSx for Lustre file system transparently presents S3 objects as files and allows you to write results back to S3. You can also use FSx for Lustre as a standalone high-performance file system to burst your workloads from on-premises to the cloud. By copying on-premises data to an FSx for Lustre file system, you can make that data available for fast processing by compute instances running on AWS. With Amazon FSx, you pay for only the resources you use. There are no minimum commitments, upfront hardware or software costs, or additional fees.

For Windows-based applications, Amazon FSx provides fully managed Windows file servers with features and performance optimized for "lift-and-shift" business-critical application workloads including home directories (user shares), media workflows, and ERP applications. It is accessible from Windows and Linux instances via the SMB protocol. If you have Linux-based applications, Amazon EFS is a cloud- native fully managed file system that provides simple, scalable, elastic file storage accessible from Linux instances via the NFS protocol.
For compute-intensive and fast processing workloads, like high-performance computing (HPC), machine learning, EDA, and media processing, Amazon FSx for Lustre, provides a file system that's optimized for performance, with input and output stored on Amazon S3. Hence, the correct answer is: Amazon FSx for Lustre.
Amazon Elastic File System (EFS) is incorrect because although the EFS service can be used for HPC applications, it doesn't natively work with Amazon S3. It doesn't have the capability to easily process your S3 data with a high-performance POSIX interface, unlike Amazon FSx for Lustre.
Amazon FSx for Windows File Server is incorrect because although this service is a type of Amazon FSx, it does not work natively with Amazon S3. This service is a fully managed native Microsoft Windows file system that is primarily used for your Windows-based applications that require shared file storage to AWS.
Amazon Elastic Block Storage (EBS) is incorrect because this service is not a scalable, high- performance file system.
References:
https://aws.amazon.com/fsx/lustre/ https://aws.amazon.com/getting-started/use-cases/hpc/3/
Check out this Amazon FSx Cheat Sheet: https://tutorialsdojo.com/amazon-fsx/

NEW QUESTION # 204
A tech company has a CRM application hosted on an Auto Scaling group of On-Demand EC2 instances. The application is extensively used during office hours from 9 in the morning till 5 in the afternoon. Their users are complaining that the performance of the application is slow during the start of the day but then works normally after a couple of hours.
Which of the following can be done to ensure that the application works properly at the beginning of the day?

• A. Configure a Dynamic scaling policy for the Auto Scaling group to launch new instances based on the CPU utilization.
• B. Configure a Dynamic scaling policy for the Auto Scaling group to launch new instances based on the Memory utilization.
• C. Configure a Scheduled scaling policy for the Auto Scaling group to launch new instances before the start of the day.
• D. Set up an Application Load Balancer (ALB) to your architecture to ensure that the traffic is properly distributed on the instances.

Answer: C

Explanation:
Scaling based on a schedule allows you to scale your application in response to predictable load changes. For example, every week the traffic to your web application starts to increase on Wednesday, remains high on Thursday, and starts to decrease on Friday. You can plan your scaling activities based on the predictable traffic patterns of your web application.

To configure your Auto Scaling group to scale based on a schedule, you create a scheduled action. The scheduled action tells Amazon EC2 Auto Scaling to perform a scaling action at specified times. To create a scheduled scaling action, you specify the start time when the scaling action should take effect, and the new minimum, maximum, and desired sizes for the scaling action. At the specified time, Amazon EC2 Auto Scaling updates the group with the values for minimum, maximum, and desired size specified by the scaling action. You can create scheduled actions for scaling one time only or for scaling on a recurring schedule.
Hence, configuring a Scheduled scaling policy for the Auto Scaling group to launch new instances before the start of the day is the correct answer. You need to configure a Scheduled scaling policy. This will ensure that the instances are already scaled up and ready before the start of the day since this is when the application is used the most.
Configuring a Dynamic scaling policy for the Auto Scaling group to launch new instances based on the CPU utilization and configuring a Dynamic scaling policy for the Auto Scaling group to launch new instances based on the Memory utilization are both incorrect because although these are valid solutions, it is still better to configure a Scheduled scaling policy as you already know the exact peak hours of your application. By the time either the CPU or Memory hits a peak, the application already has performance issues, so you need to ensure the scaling is done beforehand using a Scheduled scaling policy.
Setting up an Application Load Balancer (ALB) to your architecture to ensure that the traffic is properly distributed on the instances is incorrect. Although the Application load balancer can also balance the traffic, it cannot increase the instances based on demand.
Reference:
https://docs.aws.amazon.com/autoscaling/ec2/userguide/schedule_time.html Check out this AWS Auto Scaling Cheat Sheet:
https://tutorialsdojo.com/aws-auto-scaling/

NEW QUESTION # 205
A solutions architect is designing a new hybrid architecture to extend a company s on-premises infrastructure to AWS The company requires a highly available connection with consistent low latency to an AWS Region.
The company needs to minimize costs and is willing to accept slower traffic if the primary connection fails.
What should the solutions architect do to meet these requirements?

• A. Provision an AWS Direct Connect connection to a Region Provision a VPN connection as a backup if the primary Direct Connect connection fails.
• B. Provision a VPN tunnel connection to a Region for private connectivity. Provision a second VPN tunnel for private connectivity and as a backup if the primary VPN connection fails.
• C. Provision an AWS Direct Connect connection to a Region Use the Direct Connect failover attribute from the AWS CLI to automatically create a backup connection if the primary Direct Connect connection fails.
• D. Provision an AWS Direct Connect connection to a Region Provision a second Direct Connect connection to the same Region as a backup if the primary Direct Connect connection fails.

Answer: A

Explanation:
"In some cases, this connection alone is not enough. It is always better to guarantee a fallback connection as the backup of DX. There are several options, but implementing it with an AWS Site-To-Site VPN is a real cost-effective solution that can be exploited to reduce costs or, in the meantime, wait for the setup of a second DX."
https://www.proud2becloud.com/hybrid-cloud-networking-backup-aws-direct-connect-network-connection-with

NEW QUESTION # 206
A gaming company wants to launch a new internet-facing application in multiple AWS Regions The application will use the TCP and UDP protocols for communication. The company needs to provide high availability and minimum latency for global users.
Which combination of actions should a solutions architect take to meet these requirements? (Select TWO.)

• A. Create an AWS Global Accelerator accelerator to route traffic to the load balancers in each Region.
• B. Create internal Network Load Balancers in front of the application in each Region.
• C. Configure Amazon Route 53 to use a geolocation routing policy to distribute the traffic.
• D. Configure Amazon CloudFront to handle the traffic and route requests to the application in each Region.
• E. Create external Application Load Balancers in front of the application in each Region.

Answer: A,E

Explanation:
This combination of actions will provide high availability and minimum latency for global users by using AWS Global Accelerator and Application Load Balancers. AWS Global Accelerator is a networking service that helps you improve the availability, performance, and security of your internet-facing applications by using the AWS global network. It provides two global static public IPs that act as a fixed entry point to your application endpoints, such as Application Load Balancers, in multiple Regions1. Global Accelerator uses the AWS backbone network to route traffic to the optimal regional endpoint based on health, client location, and policies that you configure. It also offers TCP and UDP support, traffic encryption, and DDoS protection2. Application Load Balancers are external load balancers that distribute incoming application traffic across multiple targets, such as EC2 instances, in multiple Availability Zones. They support both HTTP and HTTPS (SSL/TLS) protocols, and offer advanced features such as content-based routing, health checks, and integration with other AWS services3. By creating external Application Load Balancers in front of the application in each Region, you can ensure that the application can handle varying load patterns and scale on demand. By creating an AWS Global Accelerator accelerator to route traffic to the load balancers in each Region, you can leverage the performance, security, and availability of the AWS global network to deliver the best possible user experience.

NEW QUESTION # 207
A company has an on-premises MySQL database that handles transactional data. The company is migrating the database to the AWS Cloud. The migrated database must maintain compatibility with the company's applications that use the database. The migrated database also must scale automatically during periods of increased demand.
Which migration solution will meet these requirements?

• A. Migrate the database to Amazon Redshift by using the mysqldump utility. Turn on Auto Scaling for the Amazon Redshift cluster.
• B. Use native MySQL tools to migrate the database to Amazon RDS for MySQL. Configure elastic storage scaling.
• C. Use AWS Database Migration Service (AWS DMS) to migrate the database to Amazon DynamoDB.Configure an Auto Scaling policy.
• D. Use AWS Database Migration Service (AWS DMS) to migrate the database to Amazon Aurora. Turn on Aurora Auto Scaling.

Answer: D

Explanation:
To migrate a MySQL database to AWS with compatibility and scalability, Amazon Aurora is a suitable option. Aurora is compatible with MySQL and can scale automatically with Aurora Auto Scaling. AWS Database Migration Service (AWS DMS) can be used to migrate the database from on-premises to Aurora with minimal downtime.
References:
What Is Amazon Aurora?
Using Amazon Aurora Auto Scaling with Aurora Replicas
What Is AWS Database Migration Service?

NEW QUESTION # 208
An online stock trading system is hosted in AWS and uses an Auto Scaling group of EC2 instances, an RDS database, and an Amazon ElastiCache for Redis. You need to improve the data security of your in-memory data store by requiring the user to enter a password before they are granted permission to execute Redis commands.
Which of the following should you do to meet the above requirement?

• A. Do nothing. This feature is already enabled by default.
• B. Authenticate the users using Redis AUTH by creating a new Redis Cluster with both the --transit- encryption-enabled and --auth-token parameters enabled.
• C. Create a new Redis replication group and set the AtRestEncryptionEnabled parameter to true.
• D. Enable the in-transit encryption for Redis replication groups.
• E. None of the above.

Answer: B

Explanation:
Using Redis AUTH command can improve data security by requiring the user to enter a password before they are granted permission to execute Redis commands on a password-protected Redis server. Hence, the correct answer is to authenticate the users using Redis AUTH by creating a new Redis Cluster with both the --transit-encryption-enabled and --auth-token parameters enabled.
To require that users enter a password on a password-protected Redis server, include the parameter -- auth-token with the correct password when you create your replication group or cluster and on all subsequent commands to the replication group or cluster.

Enabling the in-transit encryption for Redis replication groups is incorrect because although in-transit encryption is part of the solution, it is missing the most important thing which is the Redis AUTH option.
Creating a new Redis replication group and setting the AtRestEncryptionEnabled parameter to true is incorrect because the Redis At-Rest Encryption feature only secures the data inside the in-memory data store. You have to use Redis AUTH option instead.
The option that says: Do nothing. This feature is already enabled by default is incorrect because the Redis AUTH option is disabled by default.
References:
https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/auth.html
https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/encryption.html Check out this Amazon ElastiCache Cheat Sheet:
https://tutorialsdojo.com/amazon-elasticache/ Redis Append-Only Files vs Redis Replication:
https://tutorialsdojo.com/redis-append-only-files-vs-redis-replication/ Comparison of AWS Services Cheat Sheets: https://tutorialsdojo.com/comparison-of-aws-services/

NEW QUESTION # 209
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