Cloud Digital Leader Free Practice Questions — Page 8 (2026)

Question 71

An organization is developing a new container-based application. They do not know how popular the application will be when launched and they do not want to pay for idle infrastructure resources. Which benefit of serverless computing will address this concern?

A. Disaster recovery

B. Reduced development costs

C. Scalability

D. Built-in security

Show Answer

Correct Answer: C

Explanation:
Serverless computing automatically scales resources up and down based on demand and follows a pay-per-use model. This eliminates paying for idle infrastructure when demand is low and handles traffic spikes when demand increases, directly addressing uncertainty in application popularity.

Question 72

An organization has a small development team that has created a web application which runs in a single container. They need a simple, serverless, and scalable way to host their container. Which Google service should the organization use?

A. Compute Engine

B. App Engine

C. Kubernetes Engine

D. Cloud Run

Show Answer

Correct Answer: D

Explanation:
The requirement is for a simple, serverless, and scalable way to host a single container. Cloud Run is a fully managed serverless platform designed specifically to run containerized applications, with automatic scaling and no infrastructure management. Compute Engine and Kubernetes Engine require managing servers or clusters, and App Engine is less container-centric than Cloud Run.

Question 73

An organization has hired a team of data scientists and developers. They want to create unique value in their business by coding an advanced machine learning model in Vertex AI Workbench. Which service should the organization use to train the model?

A. Custom training

B. AutoML

C. Compute Engine

D. Prebuilt APIs

Show Answer

Correct Answer: A

Explanation:
The organization has skilled data scientists and developers who want to code an advanced, custom machine learning model in Vertex AI Workbench. Custom training is designed for this scenario, allowing full control over model code, frameworks, architecture, and training logic. AutoML and Prebuilt APIs are higher-level, less flexible options, and Compute Engine alone is infrastructure rather than a dedicated Vertex AI model training service.

Question 74

Which scenario uses machine learning to unlock business value from unstructured data?

A. Analyzing tabular records of product defects to predict future maintenance cycles.

B. Recommending new products based on previous purchases.

C. Monitoring financial transactions to identify potential fraud and risk.

D. Determining customer sentiments from call center voice recordings.

Show Answer

Correct Answer: D

Explanation:
Option D involves analyzing call center voice recordings, which are unstructured audio data. Machine learning techniques such as speech recognition and natural language processing are required to extract customer sentiment and insights, thereby unlocking business value. The other options primarily rely on structured or semi-structured data.

Question 75

An organization wants to collect and store all logs generated by applications running in Google Cloud. Which service should they use?

A. Cloud Profiler

B. Cloud Monitoring

C. Cloud Trace

D. Cloud Logging

Show Answer

Correct Answer: D

Explanation:
Cloud Logging is the Google Cloud service specifically designed to collect, store, search, and analyze log data generated by applications and infrastructure. The other options focus on profiling (Cloud Profiler), metrics monitoring (Cloud Monitoring), or distributed tracing (Cloud Trace), not centralized log storage.

Question 76

An organization is running Kubernetes applications across multiple cloud environments. They want a consistent and centralized management platform. Which service should they choose?

A. Cloud Functions

B. GKE Enterprise

C. Cloud Run

D. Compute Engine

Show Answer

Correct Answer: B

Explanation:
The requirement is a consistent, centralized management platform for Kubernetes applications running across multiple cloud environments. GKE Enterprise (formerly Anthos) is specifically designed for hybrid and multi-cloud Kubernetes management, providing unified cluster management, policy enforcement, security, and operations across environments. The other options do not provide multi-cloud Kubernetes management capabilities.

Question 77

When is data automatically encrypted in Google Cloud?

A. When it is in transit only,

B. When it is at rest and in transit.

C. Data is not automatically encrypted by default.

D. When it is at rest only.

Show Answer

Correct Answer: B

Explanation:
Google Cloud automatically encrypts data by default both at rest and in transit. Data stored on Google Cloud services is encrypted before being written to disk, and data moving between users, services, and Google data centers is encrypted (typically using TLS) while in transit. Therefore, the correct answer is that data is automatically encrypted at rest and in transit.

Question 78

An organization wants to build a data pipeline to transform its data so it can be reconciled in a data warehouse. The solution must be scalable and require little or no management. Which Google product or service should the organization choose?

A. Cloud Bigtable

B. Cloud Storage

C. Pub/Sub

D. Dataflow

Show Answer

Correct Answer: D

Explanation:
The requirement is a scalable, low‑management data pipeline for transforming data before loading it into a data warehouse. Google Cloud Dataflow is a fully managed service specifically designed for ETL and data processing pipelines, supporting both batch and streaming workloads with automatic scaling. The other options are storage or messaging services and do not provide managed data transformation capabilities.

Question 79

How does the resource hierarchy in Google Cloud help organizations implement security policies?

A. Policies can be applied at the folder level and are inherited by projects inside the folder.

B. Projects in the resource hierarchy are not affected by security policies.

C. Policies can only be applied at the organization level and affect all projects.

D. Policies can only be applied to individual projects.

Show Answer

Correct Answer: A

Explanation:
Google Cloud uses a hierarchical resource model (organization → folders → projects → resources) where many security policies, such as IAM and organization policies, can be applied at higher levels. Policies set at the folder level are automatically inherited by all projects within that folder, enabling centralized and consistent security management. The other options are incorrect because policies are not limited to only one level and do affect projects through inheritance.

Question 80

What is the typical cloud spending behavior of most organizations?

A. Decentralized and variable

B. Centralized and variable

C. Decentralized and fixed

D. Centralized and fixed

Show Answer

Correct Answer: A

Explanation:
Most organizations exhibit decentralized and variable cloud spending. Cloud resources are often provisioned and managed by individual teams or departments rather than a single centralized authority, leading to decentralized spending. Additionally, cloud pricing is typically pay‑as‑you‑go and usage‑based, so costs fluctuate over time based on demand, scaling, and activity, making spending variable rather than fixed.