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The Google Cloud Digital Leader Exam covers a wide range of topics, including digital strategy, data analytics, cloud computing, artificial intelligence, machine learning, and security. The exam consists of multiple-choice questions and takes approximately two hours to complete. Candidates who pass the exam earn a Google Cloud Digital Leader certification, which demonstrates their expertise in digital transformation and their ability to drive digital change within their organizations.
What is Google Cloud Digital Leader Certification
Google Cloud Digital Leader Certification is a certification course designed to help candidates prepare for the Google Cloud Certified Associate (GCCA) exam. It is a comprehensive, three-day program that supports the needs of professional candidates attending an official training event. The course combines both instructor-led presentations and hands-on labs to provide you with the skills necessary to pass the exam. The course will teach you about the basic requirements and features of the Google Cloud Platform, how to build applications on it, and how to maintain them properly. Google Cloud Digital Leader Dumps are the most interactive and latest preparation material that allow you to pass the Google Cloud Digital Leader Exam with flying colors. We provide you the most comprehensive and detailed information that you need to pass the Google Cloud Digital Leader Exam. Recommendations are offerings of most popular and high quality information. Service compliance terms, information on how to work with the service, and a link to the service are provided.
You will learn how to implement solutions and work with large amounts of data by using GCP products such as Google BigQuery, Google Dataflow, and Google Cloud Storage. You will also learn how GCP can be used with other Google technologies such as Machine Learning and Cloud Vision API.
NEW QUESTION # 130
Your application has repeated data requests of the exact same nature. At the same time, the number of user requests is increasing. Monitoring indicates that the load on the existing database is increasing, and there seems to be a bottleneck. An analysis of the data requested shows us that it is application-managed data and that it changes, but not often. How can you improve the efficiency of the application?
- A. Increase the number of CPUs on the machine hosting the database so that it has higher data throughput.
- B. Increase the amount of RAM on the machine hosting the database so that it has higher data throughput.
- C. Use Cloud Memorystore to improve speed via caching
- D. Use Cloud Storage with multi-regional storage so that all users accessing the data will have lower latency
Answer: C
Explanation:
Cloud Memorystore is an in-memory database that has sub-millisecond latency. This is ideal for caching application data that also changes once in a while.
https://cloud.google.com/memorystore
NEW QUESTION # 131
An organization runs their application on a virtual machine, but every time they want to edit specific features, they have to bring the system offline to update the applica-tion. What would be a more appropriate solution for their app?
- A. GPUs
- B. Hypervisors
- C. Containers
- D. Solid State Disk
Answer: C
Explanation:
Because containers can compartmentalize applications which enables parts to be edited in isolation.
Reference link- https://cloud.google.com/learn/what-are-containers
NEW QUESTION # 132
You are discussing scaling requirements with a gaming company. When the game launches, they are expecting incoming data surges of 2 million users or more during weekends and holidays. Their on-premise systems have had issues scaling and they want your advice on solving the issue. What do you recommend?
- A. We will allocate Compute Engine VMs estimating 80% capacity of 2 million users.
- B. Either Compute Engine VMs or Kubernetes nodes work, but it is better to keep a buffer of an extra 2 million users.
- C. We can deploy a Pub/Sub to ingest data which will grow to absorb demand and pass it on to other stages.
- D. We will allocate Kubernetes nodes estimating 80% capacity of 2 million users.
Answer: C
Explanation:
When there are huge surges in demand, it is preferable to use serverless technologies that automatically scale on demand. In this case, the key concern is data ingestion. Pub/Sub is a serverless system that can expand to absorb such demand.
NEW QUESTION # 133
An organization has servers running mission-critical workloads on-premises around the world. They want to modernize their infrastructure with a multi-cloud architecture.
What benefit could the organization experience?
- A. Ability to keep backups of their data on-premises in case of failure
- B. Reduced likelihood of system failure during high demand events
- C. Full management access to their regional infrastructure
- D. Ability to disable regional network connectivity during cyber attacks
Answer: B
NEW QUESTION # 134
Why is data stored in Google Cloud secure and private?
- A. Data is encrypted when an appropriate tag is applied
- B. Data is encrypted by the Security Command Center
- C. Data is encrypted by default
- D. Data is encrypted by Cloud Data Loss Prevention
Answer: C
Explanation:
https://cloud.google.com/docs/security/encryption/default-encryption#:~:text=Google%20uses%20the%20Advanced%20Encryption,to%202015%20that%20use%20AES128
NEW QUESTION # 135
An organization relies on online seasonal sales for the majority of their annual revenue.
Why should the organization use App Engine for their customer app?
- A. Automatically adjusts physical inventory in real time
- B. Recommends the right products to customers
- C. Autoscales during peaks in demand
- D. Runs maintenance during seasonal sales
Answer: C
NEW QUESTION # 136
An organization is searching for an open-source machine learning platform to build and deploy their own custom machine learning applications using TPUs.
Which Google Cloud product or service should the organization use?
- A. TensorFlow
- B. AutoML Vision
- C. Vision API
- D. BigQuery ML
Answer: A
Explanation:
https://en.wikipedia.org/wiki/TensorFlow TensorFlow is a free and open-source software library for machine learning and artificial intelligence. Developer Google Brain Team
NEW QUESTION # 137
You are running a data warehouse on BigQuery. A partner company is offering a recommendation engine based on the data in your data warehouse. The partner company is also running their applica-tion on Google Cloud. They manage the resources in their own project, but they need access to the BigQuery dataset in your project. You want to provide the partner company with access to the da-taset. What should you do?
- A. Create a Service Account in your own project, and ask the partner to grant this Service Account access to BigQuery in their project.
- B. Ask the partner to create a Service Account in their project, and grant their Service Account access to the BigQuery dataset in your project.
- C. Ask the partner to create a Service Account in their project, and have them give the Service Account access to BigQuery in their project.
- D. Create a Service Account in your own project, and grant this Service Account ac-cess to BigQuery in your project.
Answer: B
Explanation:
- if the need is to authenticate the application to access your dataset, it's the application's serice account that will be provided during the authentication, so the service account is to be created at their side to run the application
NEW QUESTION # 138
Your organization needs to establish private network connectivity between its on-premises network and its workloads running in Google Cloud. You need to be able to set up the connection as soon as possible.
Which Google Cloud product or feature should you use?
- A. Cloud VPN
- B. Cloud Interconnect
- C. Cloud CDN
- D. Direct Peering
Answer: B
Explanation:
Private Google Access for on-premises hosts provides a way for on-premises systems to connect to Google APIs and services by routing traffic through a Cloud VPN tunnel.
NEW QUESTION # 139
An organization has had a data leak scare because one employee made a sensitive Cloud Storage bucket available to the public. Given the nature of the company's business, it is understood that there is never any reason to give the public direct access to any file. The security head wants to ensure that such an event never occurs again. How can you ensure this?
- A. Remove Edit access rights of all Cloud Storage buckets so that no user can make any edits.
- B. Write Cloud Functions code connected to Cloud Storage. Any changes will be notified to the function which can be used to reset the public access.
- C. Set an organizational policy constraint to restrict bucket access set to the public.
- D. Use Cloud Scheduler to run a job at a specified interval to scan buckets. Any public permissions can be programmatically changed.
Answer: C
Explanation:
The straightforward way to set it is using Organizational Policy constraint. Any attempts to change the organizational setting will be rejected for any project and resource.
References link:
-> https://cloud.google.com/resource-manager/docs/organization-policy/overview
-> https://cloud.google.com/resource-manager/docs/organization-policy/org-policy-constraints
NEW QUESTION # 140
An e-commerce organization is reviewing their cloud data storage.
What type of raw data can they store in a relational database without any processing?
- A. Product photographs
- B. Product inventory
- C. Customer chat history
- D. Instructional videos
Answer: B
NEW QUESTION # 141
What is an example of structured data that a healthcare facility stores in their system?
- A. X-ray images
- B. Blood pressure history
- C. Surgery video recordings
- D. Physician-written notes
Answer: B
Explanation:
Physical measures like height, weight, blood pressure, blood type, and stage of the disease can be recorded numerically and they are structured.
NEW QUESTION # 142
Your team is publishing research results and needs to make large amounts of data available to other researchers within the professional community and the public at minimum cost.
How should you host the data?
- A. Use a Cloud Storage bucket and enable "Requester Pays.'
- B. Use a Cloud Storage bucket and set up a Cloud Interconnect connection to allow access to the data.
- C. Host the data on-premises. and set up a Cloud Interconnect connection to allow access to the data.
- D. Use a Cloud Storage bucket and provide Signed URLs for the data files.
Answer: A
Explanation:
Enabling Requester Pays is useful, for example, if you have a lot of data you want to make available to users, but you don't want to be charged for their access to that data.
Reference link- https://cloud.google.com/storage/docs/requester-pays
NEW QUESTION # 143
Your organization uses Active Directory to authenticate users. Users' Google account access must be removed when their Active Directory account is terminated.
How should your organization meet this requirement?
- A. Configure two-factor authentication in the Google domain
- B. Configure BeyondCorp and Identity-Aware Proxy in the Google domain
- C. Remove the Google account from all IAM policies
- D. Configure single sign-on in the Google domain
Answer: D
NEW QUESTION # 144
Which of the following are the current options for paid support in GCP? (Select Three An-swer)
- A. Enhanced
- B. Premier
- C. Standard
- D. Role
- E. Premium
Answer: A,C,E
Explanation:
Because GCP provides three options for paid support which are Standard, Enhanced and Premium.
Basic Support is included with your Google Cloud subscription which cover only Case, phone, and chat support for billing issues only Reference link- https://cloud.google.com/support
NEW QUESTION # 145
An organization wants to evaluate the performance of their entire cloud infrastructure, including metrics like server uptime and response rate reports. Which Google Cloud tool should the organi-zation use?
- A. Cloud Profiler
- B. Cloud Trace
- C. Cloud Monitoring
- D. Cloud Debugger
Answer: C
Explanation:
Because Cloud Monitoring enables users to monitor the performance of their entire cloud infrastructure.
NEW QUESTION # 146
Your organization wants to predict the behavior of visitors to its public website. To do that, you have decided to build a machine learning model. Your team has database-related skills but only basic machine learning skills, and would like to use those database skills.
Which Google Cloud product or feature should your organization choose?
- A. Cloud SQL
- B. LookML
- C. BigQuery ML
- D. TensorFlow
Answer: C
Explanation:
Reference:
NEW QUESTION # 147
Which Google Cloud service or feature lets you build machine learning models using Standard SQL and data in a data warehouse?
- A. AutoML Tables
- B. BigQuery ML
- C. Cloud Bigtable ML
- D. TensorFlow
Answer: B
Explanation:
BigQuery ML lets you create and execute machine learning models in BigQuery using standard SQL queries.
NEW QUESTION # 148
An organization is making a strategic change to customer support in response to feedback. They plan to extend their helpline availability hours.
Why is the organization making this change?
- A. Users expect professional expertise
- B. Users expect always-on services
- C. Users require personalization
- D. Users require regional access
Answer: B
NEW QUESTION # 149
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