This is the free Google Cloud Digital Leader practice question bank —
150 of 288 total questions, each with a full explanation, free to
read with no signup required. Updated 2026-04-24.
Every answer is verified against official Google documentation —
see our methodology.
Question 1
An organization has petabytes of data gathered from a wide range of sources. They want to use the data for strategic analysis and to guide business decisions. What type of service should they use?
A. Object store
B. Non-relational document database
C. Data warehouse
D. Relational transactional database
Show Answer
Correct Answer: C
Explanation: A data warehouse is designed to aggregate very large volumes of data from many different sources and optimize it for analytics, reporting, and strategic decision-making. The other options are better suited for storage or transactional workloads rather than large-scale analytical processing.
Question 2
An organization is deploying applications to the cloud using platform as a service.
In the shared responsibility model, what remains the responsibility of the customer organization?
A. Operations
B. Data access policies
C. Physical security
D. Network security
Show Answer
Correct Answer: B
Explanation: In a Platform as a Service (PaaS) model, the cloud provider is responsible for the underlying infrastructure, including physical security, network security, and platform operations. The customer remains responsible for their applications and data, including defining and enforcing data access policies that control who can access the data and how it is used.
Question 3
An organization wants to deploy new workloads to the cloud but must keep some systems on-premises for compliance reasons. Both environments must be managed centrally. Which type of environment should the organization use?
A. Virtual machine environment
B. Multi cloud environment
C. Hybrid cloud environment
D. Container environment
Show Answer
Correct Answer: C
Explanation: A hybrid cloud environment combines on-premises infrastructure with cloud resources, allowing some systems to remain on-premises for compliance while deploying new workloads to the cloud, all managed centrally.
Question 4
An organization is using new technologies to change its business processes and culture to develop new customer experiences and adapt to market dynamics.
What is the name of this approach?
A. Digital transformation
B. Data center migration
C. Operations optimization
D. User personalization
Show Answer
Correct Answer: A
Explanation: The described approach involves leveraging new technologies to fundamentally change business processes, organizational culture, and customer experiences in response to market dynamics. This aligns directly with the definition of digital transformation, which goes beyond isolated technology upgrades to enable new ways of operating and delivering value.
Question 5
An organization wants to refactor their application by using a microservices architecture when migrating to the cloud. Which benefit would this action provide?
A. The refactored application is more efficient and scalable.
B. No code changes will be required.
C. This migration pattern provides the fastest path to the cloud.
D. The application will become PCI-DSS compliant by default.
Show Answer
Correct Answer: A
Explanation: Refactoring to a microservices architecture breaks a monolithic application into independently deployable services, enabling independent scaling, better resource utilization, and improved operational efficiency. It requires code changes, is not the fastest migration approach compared to lift-and-shift, and does not automatically confer compliance such as PCI-DSS.
Question 6
An organization is planning to deploy a new workload to Google Cloud. They need an accurate estimate of the likely costs of running the workload. How should the organization create this estimate?
A. Use the Google Cloud Pricing Calculator.
B. Deploy workload to test environment to observe costs.
C. Use historic costs of an existing similar workload.
D. Refer to pricing information and manually calculate an estimate.
Show Answer
Correct Answer: A
Explanation: The correct way to create an accurate cost estimate for a new Google Cloud workload is to use the Google Cloud Pricing Calculator. It is specifically designed to model expected usage, configurations, regions, and pricing variables, and it automatically accounts for factors such as sustained-use and committed-use discounts. The other options are either less accurate, inefficient, or error-prone compared to this purpose-built tool.
Question 7
An organization supplies electric car chargers in a nationwide network. They store customer and charging data in BigQuery. They want to efficiently upgrade and maintain their network to reduce waste and achieve their sustainability goals. How can Google Cloud services help the organization?
A. Secure data access by using Identity and Access Management.
B. Provide access to third-party developers by creating an API using Apigee.
C. Create a model in BigQuery to predict future maintenance schedules.
D. Move data from BigQuery to Cloud Storage to reduce storage costs.
Show Answer
Correct Answer: C
Explanation: Using BigQuery ML to create predictive models allows the organization to analyze historical charging and maintenance data to forecast future maintenance needs. This enables proactive upgrades, reduced downtime, less waste, and better resource utilization, directly supporting operational efficiency and sustainability goals. The other options focus on security, data access, or cost optimization, which do not directly address predictive maintenance or network optimization.
Question 8
What is the purpose of an application programming interface (API)?
A. To provide a set of instructions that allow computer programs to communicate with each other
B. To provide cloud plugins for integrated development environments
C. To connect networks from different cloud providers
D. To manage multiple containerized workloads
Show Answer
Correct Answer: A
Explanation: An API defines a set of rules, protocols, and interfaces that allow different software programs to communicate and interact with each other. It enables one application to request data or functionality from another in a standardized way. The other options describe specific tools or use cases (IDEs, networking, container orchestration) that may use APIs, but they are not the core purpose of an API itself.
Question 9
A financial organization has many customers who close their accounts every year. The organization wants to use data and AI to identify at-risk customers, so they can retain customers by offering discounts and improved services. What should the organization do?
A. Create a dashboard of previous customers that have exited, and look for obvious correlations in the visualization.
B. Create a ML model based on the demographics and activities of previous customers that exited.
C. Create a survey for all customers to identify their current level of satisfaction.
D. Create a report based on last year’s customer feedback.
Show Answer
Correct Answer: B
Explanation: The goal is to proactively identify customers who are at risk of closing their accounts. Building a machine learning model using historical data (such as demographics and customer activities of those who previously exited) enables predictive analytics to detect patterns associated with churn and apply them to current customers. This allows targeted retention actions. The other options focus on descriptive or reactive approaches (dashboards, surveys, reports) and do not provide scalable, predictive identification of at-risk customers.
Question 10
An organization is building advanced machine learning models in Google Cloud by using TensorFlow. They want to develop their models faster with purpose-built hardware. Which solution should the organization use?
A. TPUs
B. CPUs
C. CPUs
D. GPUs
Show Answer
Correct Answer: A
Explanation: TPUs (Tensor Processing Units) are purpose-built accelerators designed by Google specifically to speed up machine learning workloads, especially TensorFlow training and inference. They provide significantly higher performance for deep learning compared to general-purpose CPUs, and are more tightly optimized for TensorFlow than GPUs, enabling faster model development on Google Cloud.
$19
Get all 288 questions with detailed answers and explanations
Instant download HTML + PDF delivered the moment payment clears.
Secure Stripe checkout we never see or store your card details.
7-day refund if files are defective see our refund policy.