[Jan 11, 2026] DumpExam Cloud-Digital-Leader Exam Practice Test Questions (Updated 416 Questions)
Pass Google Cloud-Digital-Leader Exam Info and Free Practice Test
The Google Cloud-Digital-Leader exam is intended for digital transformation leaders, including executives, managers, and other professionals who are responsible for implementing digital transformation initiatives within their organization. Google Cloud Digital Leader certification is ideal for those who want to demonstrate their expertise in digital transformation and cloud technology.
Google Cloud Digital Leader Exam is a valuable certification for individuals who want to demonstrate their expertise in cloud computing and digital transformation. Google Cloud Digital Leader certification is recognized by many organizations and can help professionals advance their careers in the field of cloud computing. Moreover, the certification provides individuals with the knowledge and skills they need to help their organizations drive digital transformation initiatives and stay competitive in today's fast-paced business environment.
NEW QUESTION # 206
An organization needs to categorize a large group of photographs using pre-trained machine learning.
Which Google Cloud product or service should the organization use?
- A. Vision API
- B. Looker
- C. AutoML Vision
- D. BigQuery ML
Answer: A
Explanation:
Explanation
https://cloud.google.com/vision
NEW QUESTION # 207
One of your clients is in the retail sector. They have a small team supporting their operations and a small development team taking care of application development. They have heard of the benefits of machine learning, but they do not have the capacity to hire data scientists or the work to retain them. They have a team of analysts who works primarily on BigQuery and knows how to run SQL queries. They want to be able to get into the new age of machine learning and artificial intelligence. What options are available to run on Google Cloud?
- A. Integrate the Cloud Vision API and the Cloud Speech API to create a custom mod-el that will suit the retail sector.
- B. Use the Unified AI Platform to create a custom TensorFlow model.
- C. Use the popular open-source libraries SciPy and NumPy to create machine learn-ing models.
- D. Use BigQuery ML to create machine learning models using SQL queries.
Answer: D
Explanation:
BigQuery ML allows you to create ML models using standard SQL queries. Those familiar with BigQuery and ML will be able to create ML models with just a basic understanding of machine learning.
https://cloud.google.com/bigquery-ml/docs/
NEW QUESTION # 208
Which of the following statements is/are true about Cloud Spanner offered by Google Cloud Plat-form.
- A. All of the above.
- B. You don't need to shard or replicate data.
- C. It can scale horizontally to support additional capacity.
- D. It comes with Zero Downtime, No Maintenance windows, and is proven for large and small workloads.
Answer: A
Explanation:
Cloud Spanner:
Fully managed relational database with unlimited scale, strong consistency, and up to 99.999% availability.
- Get all the benefits of relational semantics and SQL with unlimited scale
- Start at any size and scale with no limits as your needs grow
- Enjoy high availability with zero scheduled downtime and online schema changes
- Deliver high-performance transactions with strong consistency across regions and continents
- Focus on innovation, eliminating manual tasks with capabilities like automatic sharding.
NEW QUESTION # 209
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. TensorFlow
- D. BigQuery ML
Answer: D
Explanation:
Reference: https://cloud.google.com/architecture/predicting-customer-propensity-to-buy
NEW QUESTION # 210
Which of the following storage options should you use when your company is using Cloud Storage to store application backup files for disaster recovery purposes, provided you want to follow Goog-le's recommended practices.
- A. Nearline Storage
- B. Multi-Regional Storage
- C. Regional Storage
- D. Coldline storage
Answer: D
Explanation:
Explanation
Coldline storage is a very low cost highly durable storage service for data archiving, online backup, and disaster recovery. Coldline storage is the best choice for data that you plan to access at most once a year due to its slightly lower availability, 90 day minimum storage duration cost for data access, and higher per operation costs.
Nearline and Coldline are for backup and archival storage and having the highest availability for both with
99.9 percent.
NEW QUESTION # 211
With respect to the Core Feature of Standby Instances of Cloud SQL which one of the options is correct.?
- A. The standby instance is used in high availability to replace the primary instance when failover occurs. The standby instance appears in the Google Cloud Console but does not get billed. When failover occurs, connections to the primary instance are automatically transferred to the standby instance.
- B. The standby instance is used in high availability to replace the primary instance when failover occurs. The standby instance doesn't appear in the Google Cloud Console. When failover occurs, connections to the primary instance are automati-cally transferred to the standby instance.
- C. None of the Above.
- D. The standby instance is used in high availability to replace the primary instance when failover occurs. The standby instance appears in the Google Cloud Console but does not get billed. When failover occurs, connections to the primary instance need to be manually transferred to the standby instance.
Answer: B
Explanation:
The standby instance is used in high availability to replace the primary instance when failover occurs. The standby instance doesn't appear in the Google Cloud Console. When failover occurs, connections to the primary instance are automatically transferred to the standby instance.
Cloud SQL Key Terms:
Cloud SQL instance
A Cloud SQL instance corresponds to one virtual machine (VM). The VM includes the database instance and accompanying software containers to keep the database instance up and running.
Database instance
A database instance is the set of software and files that operate the databases: MySQL, PostgreSQL or SQL Server.
High availability
Cloud SQL instances using high availability (HA) provide greater reliability than non-HA instances.
HA in Cloud SQL works by having two synchronized instances: a primary instance and a standby instance. Each instance has exactly one VM. Each instance is in a different zone in the same region.
Failover
A failover is when Cloud SQL switches serving from the original primary instance to the standby instance.
Autofailover is a mechanism that automatically triggers failover when a Cloud SQL instance didn't issue a heartbeat in the previous interval.
Standby instances
The standby instance is used in high availability to replace the primary instance when failover occurs. The standby instance doesn't appear in the Google Cloud Console. When failover occurs, connections to the primary instance are automatically transferred to the standby instance.
Clone
When you clone a Cloud SQL instance, you create a new instance that is a copy of the source instance, but is completely independent. After cloning is complete, changes to the source instance are not reflected in the clone, and changes in the clone are not reflected in the source instance.
Replication
Replication is the ability to create copies of a Cloud SQL instance or an on-premises database, and offload work to the copies. The main reason for using replication is to scale the use of data in a database without degrading performance on the primary instance.
Read replica
The read replica is an exact copy of the primary instance. Data and other changes on the primary instance are updated in almost real time on the read replica. Send your write transactions to the primary instance, and your read requests to the read replica. The read replica processes queries, read requests, and analytics traffic, thus reducing the load on the primary instance.
Source server
Replication copies transactions from a primary instance to one or more read replicas. The primary instance is also called the source server. The source server can be a Cloud SQL primary instance, or a server outside of Google Cloud, such as an on-premises server or a server running in a different cloud. If the source server is outside of Google Cloud, we call it Replication from an external server.
Cloud SQL Auth proxy client
The Cloud SQL Auth proxy client is open source software maintained by Cloud SQL. It connects to a companion process, the Cloud SQL Auth proxy server, running on your Cloud SQL instance. You run the Cloud SQL Auth proxy client on your own servers. The Cloud SQL Auth proxy client can be used to establish a secure SSL/TLS connection to the database instance, and/or to avoid having to open the firewall. Authentication is done through Identity and Access Management (IAM).
NEW QUESTION # 212
What is a defining function of streaming analytics?
- A. Processing data records in batches
- B. Accessing data with high latency
- C. Processing data records continuously
- D. Processing a one-off data backfill
Answer: C
Explanation:
Streaming analytics is the real-time processing of data as it is ingested. The defining function of streaming analytics is to process data records continuously, as opposed to batch processing, which handles data in large chunks at intervals. Streaming analytics allows for immediate insights and actions based on live data.
Option B: Processing data records continuously is correct because it describes the fundamental nature of streaming analytics: it analyzes data streams as they come in, enabling real-time analysis, monitoring, and decision-making.
References:
* Google Cloud Documentation on Dataflow: Real-Time Stream Processing
* Google Cloud Platform's Big Data Solutions: Stream Analytics
NEW QUESTION # 213
Your organization meant to purchase a 3-year Committed Use Discount, but accidentally purchased a 1-year Committed Use Discount instead. What should your organization do?
- A. Contact Trust and Safety.
C Contact Cloud Billing Support. - B. Contact Technical Support.
- C. Contact your financial institution.
Answer: B
Explanation:
Graphical user interface, text, application Description automatically generated
https://cloud.google.com/compute/docs/instances/signing-up-committed-use-discounts
NEW QUESTION # 214
Your organization wants to run a container-based application on Google Cloud. This application is expected to increase in complexity. You have a security need for fine-grained control of traffic between the containers.
You also have an operational need to exercise fine-grained control over the application's scaling policies.
What Google Cloud product or feature should your organization use?
- A. App Engine
- B. Google Kubernetes Engine cluster
- C. Cloud Run
- D. Compute Engine virtual machines
Answer: B
Explanation:
Google Kubernetes Engine GKE seems a better fit since the requirement is for "security need for fine-grained control of traffic between the containers" and "fine-grained control over scaling policies". Such level of control is easier on GKE that Cloud Run.
Text Description automatically generated
Reference link- https://cloud.google.com/blog/products/containers-kubernetes/when-to-use-google- kubernetes-engine-vs-cloud-run-for-containers
NEW QUESTION # 215
An organization is using machine learning to make predictions. One of their datasets mistakenly includes mislabeled data.
How will the prediction be impacted?
- A. Decreased model compatibility
- B. Decreased model training time
- C. Increased risk of inaccuracy
- D. Increased risk of privacy leaks
Answer: C
NEW QUESTION # 216
Your organization consists of many teams. Each team has many Google Cloud projects. Your organization wants to simplify the management of identity and access policies for these projects.
How can you group these projects to meet this goal?
- A. Assign labels based on the virtual machines that are part of each team's projects
- B. Group each team's projects into a separate domain
- C. Group each team's projects into a separate organization node
- D. Use folders to group each team's projects
Answer: D
NEW QUESTION # 217
What are the key features of Google Cloud Identity.
- A. Works with your favorite apps and Endpoint management
- B. All of the Above
- C. Single sign-on (SSO)
- D. Multi-factor authentication (MFA)
Answer: B
Explanation:
Cloud Identity:
A unified identity, access, app, and endpoint management (IAM/EMM) platform.
- Give users easy access to apps with single sign-on.
- Multi-factor authentication protects user and company data.
- Endpoint management enforces policies for personal and corporate devices KEY FEATURES :
Modernize IT and strengthen security
Multi-factor authentication (MFA)
Help protect your user accounts and company data with a wide variety of MFA verification methods such as push notifications, Google Authenticator, phishing-resistant Titan Security Keys, and using your Android or iOS device as a security key.
Endpoint management
Improve your company's device security posture on Android, iOS, and Windows devices using a unified console. Set up devices in minutes and keep your company data more secure with endpoint management.
Enforce security policies, wipe company data, deploy apps, view reports, and export details.
Single sign-on (SSO)
Enable employees to work from virtually anywhere, on any device, with single sign-on to thousands of pre- integrated apps, both in the cloud and on-premises.
Works with your favorite apps
Cloud Identity integrates with hundreds of cloud applications out of the box-and we're constantly adding more to the list so you can count on us to be your single identity platform today and in the future.
NEW QUESTION # 218
A vacation home rental organization wants to predict the popularity of properties in their upcoming busy season. They do not have a data science team, and want to use their in-house database administration skills to create a machine learning model. What should the organization do?
- A. Use custom training in Vertex Al with TensorFlow.
- B. Use BigQuery ML and create models using SQL.
- C. Build a model in AutoML using labeled data.
- D. Integrate pre-trained APIs into their application.
Answer: C
NEW QUESTION # 219
Your organization wants to be sure that is expenditures on cloud services are in line with the budget. Which two Google Cloud cost management features help your organization gain greater visibility into its cloud resource costs? (Choose two.)
- A. Resource labels
- B. Billing dashboards
- C. Payments profile
- D. Financial governance policies
- E. Sustained use discounts
Answer: A,D
NEW QUESTION # 220
A financial services company is running an experimental application workload that has a very large number of mathematical calculations involving floating-point numbers. The current application that is running on compute engine is not providing enough speed and throughput. What are the options to increase the processing performance?
- A. Use a serverless option like Cloud Functions that will automatically scale as much as required.
- B. Instead of using a "general purpose" machine family, use "compute-optimized" machine family.
- C. Since processing could also be dependent on reading and writing data to the disk, use a fast Local SSD.
- D. Attach GPUs to the virtual machine for number crunching.
Answer: D
Explanation:
Compute Engine provides graphics processing units (GPUs) that you can add to your virtual machines (VMs). You can use these GPUs to accelerate specific workloads on your VMs such as machine learning and data processing.
https://cloud.google.com/compute/docs/gpus
NEW QUESTION # 221
Your organization wants an economical solution to store data such as files, graphical images, and videos and to access and share them securely.
Which Google Cloud product or service should your organization use?
- A. Cloud Storage
- B. Cloud SQL
- C. BigQuery
- D. Cloud Spanner
Answer: A
Explanation:
- Google Storage is GCP's version of AWS Simple Storage Service (S3) and an S3 bucket would be equivalent to a Google Storage bucket across the two clouds Text Description automatically generated
NEW QUESTION # 222
An organization is struggling to keep up with the growth of their application which is running on legacy infrastructure.
What might be holding them back?
- A. The inaccessibility of their data due to perimeter security
- B. The overreliance on platform as a service
- C. The time it takes their serverless compute function to scale
- D. The cost of provisioning hardware for peak usage
Answer: D
Explanation:
Explanation
Legacy infrastructure is typically based on on-premises hardware that is managed and maintained by the organization. As the application grows and the user base expands, the hardware required to support it must also grow. This can lead to significant costs associated with provisioning and maintaining hardware, particularly if the organization needs to provision for peak usage.
NEW QUESTION # 223
You have deployed a new public web application that allows users to register and login with email ids, phone numbers, or user ids. You are seeing some unusual activity with user registrations and logins from a few IPs.
A large number of accounts were created very quickly. Logins are also hap-pening quickly thereafter from these new accounts. Different parts of the application are being ex-plored, all of which are putting a heavy load on the application. What could be a problem and how can you solve it?
- A. Automated testing tools might still be running and creating accounts. Use Identity-Aware Proxy to restrict the users to known users.
- B. A hacker group has hired a bunch of people to create accounts and manually use the system. Use Cloud Asset Inventory to see if there have been changes in the inventory.
- C. Bots are creating accounts and then using them. Use Google Cloud's Web App and API Protection (WAAP).
- D. Bots are creating accounts and then using them. Use Identity-Aware Proxy to re-strict the users to known users.
Answer: C
Explanation:
Explanation
Bots attacking the application is the most likely scenario in this case. Using WAAP is the right protection plan: Anti-DDoS, anti-bot, WAF, and API protection help you protect against new and existing threats while helping you keep your apps and APIs compliant and continuously available.
https://cloud.google.com/solutions/web-app-and-api-protection
NEW QUESTION # 224
Your organization wants an economical solution to store data such as files, graphical images, and videos and to access and share them securely.
Which Google Cloud product or service should your organization use?
- A. Cloud Storage
- B. Cloud SQL
- C. BigQuery
- D. Cloud Spanner
Answer: A
Explanation:
- Google Storage is GCP's version of AWS Simple Storage Service (S3) and an S3 bucket would be equivalent to a Google Storage bucket across the two clouds Text Description automatically generated
NEW QUESTION # 225
Your team has developed a machine learning model for your customer. The test results indicate very strong predictive capability. The model is then deployed in production. Evaluation of the predictions in production show that they are off by a pronounced margin. What is the issue and how can you solve for it?
- A. The model is overfitted. Train with more data.
- B. The model is under fitted. Train with less data.
- C. The model is over fitted. Add more features to the model to fix it.
- D. The model is fine since the test results are good. Fix the production of incoming data.
Answer: A
Explanation:
If our ML model does well on the training set than on the production set, then we're likely over fitting.
Training with more data would be one solution.
NEW QUESTION # 226
An organization needs to store daily transactional data such as customer records and purchase history. The data follows a consistent schema and is cross-referenced. Which type of service should the organization use?
- A. Data lake
- B. Non-relational database
- C. Data warehouse
- D. Relational database
Answer: D
Explanation:
Relational databases are ideal for storing transactional data that follows a consistent schema and requires cross-referencing (e.g., customer records and purchase history). They provide ACID (Atomicity, Consistency, Isolation, Durability) compliance, which is essential for reliable transaction processing.
Option C: Relational database is correct because it is specifically designed for structured data with a consistent schema and supports complex queries and cross-referencing of data, which is essential for transactional systems.
References:
* Google Cloud: Cloud SQL and Cloud Spanner (Relational Database Services)
* Google Cloud Database Solutions: Selecting the Right Database
NEW QUESTION # 227
What is an example of structured data that a healthcare facility stores in their system?
- A. Blood pressure history
- B. Surgery video recordings
- C. Physician-written notes
- D. X-ray images
Answer: A
Explanation:
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 # 228
Your organization wants to migrate your on-premises environment to Google Cloud. The on-premises environment consists of containers and virtual machine instances. Which Google Cloud products can help to migrate the container images and the virtual machine disks?
- A. Compute Engine and Filestore
- B. Artifact Registry and Cloud Storage
- C. Pub/Sub and Cloud Storage
- D. Dataflow and BigQuery
Answer: A
NEW QUESTION # 229
An organization is concerned about their cloud costs. They want to be informed when their spending exceeds a specific threshold, rather than waiting to see their bill at the end of the month. What should the organization do?
- A. Pause virtual machines during non-business hours.
- B. Use historical cost data to predict future overspend.
- C. Adjust project resource quota policies.
- D. Configure a budget threshold rule and alert.
Answer: D
NEW QUESTION # 230
......
Google Cloud Digital Leader Exam is a certification exam that is designed for individuals who want to demonstrate their knowledge and skills in cloud computing. Cloud-Digital-Leader exam is offered by Google Cloud and is intended to test the candidate's ability to lead digital transformation initiatives using Google Cloud technologies. Cloud-Digital-Leader exam evaluates the candidate's knowledge of cloud computing, digital transformation, and key Google Cloud technologies such as Google Cloud Platform and G Suite.
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