Cloud Digital Leader Free Practice Questions — Page 3 (2026)

Question 21

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. Non-relational database

B. Data warehouse

C. Relational database

D. Data lake

Show Answer

Correct Answer: C

Explanation:
A relational database is the appropriate choice for daily transactional data with a consistent, structured schema and relationships between entities such as customers and purchases. It supports referential integrity and ACID transactions, making it ideal for OLTP workloads. A data warehouse is for analytics, a data lake stores raw data for varied processing, and non-relational databases are generally chosen for flexible schemas or specific scalability patterns rather than strongly relational transactional data.

Question 22

An organization needs protection against distributed denial-of-service (DDoS) attacks. Which Google Cloud service should the organization use?

A. Google Cloud Armor

B. Cloud Build

C. Cloud VPN

D. Security Command Center

Show Answer

Correct Answer: A

Explanation:
Google Cloud Armor is Google Cloud's service for protecting applications against DDoS attacks, including Layer 3/4 and Layer 7 protections when used with supported load balancing. Cloud Build is a CI/CD service, Cloud VPN provides secure network connectivity, and Security Command Center is for security posture and risk management rather than active DDoS mitigation.

Question 23

Customers are reporting very high latencies when accessing an application from the United States. The application is currently running in a single region in Europe. What should the organization do?

A. Set up a new billing account in the United States.

B. Run the application in additional zones in the European region.

C. Run the application in additional regions in Europe.

D. Run a replica of the application in a region in the United States.

Show Answer

Correct Answer: D

Explanation:
High latency for users in the United States is primarily due to geographic distance from the application's only deployment in Europe. Deploying a replica of the application in a U.S. region allows traffic to be served closer to users, significantly reducing network latency. Additional zones or regions within Europe improve availability or resilience but do not materially reduce latency for U.S. users. A billing account location has no effect on application performance.

Question 24

An organization runs a batch data analysis workload on a virtual machine (VM). The workload can be easily restarted without losing work, and is not time critical. Organizations must choose the lowest cost option to run the workload. What option should they choose?

A. A Preemptible or Spot VM on Compute Engine

B. A custom VM in a pay-as-you-go model on Compute Engine

C. A standard VM in a pay-as-you-go model on Compute Engine

D. A Cloud Function with a small memory limit

Show Answer

Correct Answer: A

Explanation:
The workload is fault-tolerant, can be restarted without losing work, and is not time critical. Spot (formerly Preemptible) VMs on Compute Engine are designed for interruptible workloads and provide the lowest-cost compute option compared with standard or custom pay-as-you-go VMs. Cloud Functions are not an appropriate replacement for a long-running batch workload that is already designed to run on a VM.

Question 25

An organization is deploying their servers to the cloud using the infrastructure as a service model. In the shared responsibility model, what is the cloud provider responsible for?

A. Data access policies

B. Security of the operating system

C. Security of the software

D. Physical security

Show Answer

Correct Answer: D

Explanation:
In the IaaS shared responsibility model, the cloud provider is responsible for the security of the underlying cloud infrastructure, including the physical data centers, servers, networking, and virtualization layer. The customer is responsible for the operating system, applications, data, and access policies.

Question 26

When customer data is uploaded to Google Cloud, who owns the data?

A. A third party

B. The customer and Google share ownership

C. Google

D. The customer

Show Answer

Correct Answer: D

Explanation:
The customer retains ownership of any data they upload to Google Cloud. Google provides the cloud infrastructure and services to store and process the data, but it does not take ownership of customer data. This aligns with Google Cloud's shared responsibility model and contractual terms regarding customer data.

Question 27

An organization is operating multiple workloads in containers and requires full control of how the workloads are configured. Which Google Cloud service should the organization use?

A. Cloud Run

B. Compute Engine

C. Kubernetes Engine

D. Cloud Functions

Show Answer

Correct Answer: C

Explanation:
Google Kubernetes Engine (GKE) is the managed Kubernetes service designed for orchestrating multiple containerized workloads while providing extensive control over workload configuration, networking, scheduling, scaling, and deployments. Cloud Run and Cloud Functions are serverless services that abstract much of the infrastructure and configuration, and Compute Engine provides VMs rather than a container orchestration platform.

Question 28

What is the Site Reliability Engineering (SRE) term for an organization s desired level of reliability and performance?

A. Service-level objective

B. Enhanced support

C. Scalable infrastructure

D. Service-level indicator

Show Answer

Correct Answer: A

Explanation:
The correct SRE term is Service-Level Objective (SLO). An SLO defines the target level of reliability or performance that a service should achieve. Service-Level Indicators (SLIs) are the metrics used to measure performance against the SLO, while enhanced support and scalable infrastructure are not SRE terms for desired reliability targets.

Question 29

What is a benefit of Google’s purpose-built servers compared to standard servers?

A. They are optimized for specific tasks making them more efficient.

B. They are backward compatible with legacy disk drives.

C. They are cheaper to build than standard servers.

D. They run software that cannot be deployed on standard servers.

Show Answer

Correct Answer: A

Explanation:
Google’s purpose-built servers are designed and optimized for specific workloads, improving performance, efficiency, and resource utilization compared to general-purpose servers. They are not primarily distinguished by legacy hardware compatibility, lower build cost, or the ability to run software that standard servers cannot.

Question 30

An organization has collected petabytes of historical data. They need an advanced analysis solution that is fast, scalable, and fully managed. Which Google product or service should the organization use?

A. BigQuery

B. Cloud SQL

C. Firestore

D. Cloud Storage

Show Answer

Correct Answer: A

Explanation:
BigQuery is Google's fully managed, serverless, highly scalable enterprise data warehouse built for fast SQL analytics over very large datasets, including petabyte-scale historical data. Cloud SQL is for transactional relational databases, Firestore is a NoSQL document database, and Cloud Storage provides object storage rather than an analytics engine.