Cloud Digital Leader Free Practice Questions — Page 14
Question 131
An organization needs frequent access to only a subset of their data. They want to reduce costs by depositing the rest of their data across Nearline, Coldline, and Archive repositories.
Which Google Cloud product should the organization use?
A. Filestore
B. Cloud Storage
C. Data Catalog
D. Cloud Spanner
Show Answer
Correct Answer: B
Explanation: Google Cloud Storage supports multiple storage classes—Standard, Nearline, Coldline, and Archive—within the same service. This allows an organization to keep frequently accessed data in Standard storage while reducing costs by storing less frequently accessed data in Nearline, Coldline, and Archive repositories.
Question 132
An organization wants to ensure that their developers can easily use application programming interfaces (APIs) in future projects.
Which Google product or solution should they use?
A. Application migration
B. Apigee
C. The App Engine flexible environment
D. AppSheet
Show Answer
Correct Answer: B
Explanation: Apigee is Google Cloud’s API management platform, designed to build, publish, secure, monitor, and manage APIs. It specifically enables developers to easily discover, consume, and reuse APIs across current and future projects, which directly matches the requirement.
Question 133
What can customers expect if their cloud provider doesn't meet their service level agreement (SLA)?
A. Increase in subscription fees
B. Cloud service shutdown
C. Refund for service interruption
D. Error budget expansion
Show Answer
Correct Answer: C
Explanation: Service Level Agreements typically define remedies when the provider fails to meet promised uptime or performance. The most common remedy is a service credit or refund for the affected period. SLAs do not usually increase fees, shut down services, or expand error budgets as compensation mechanisms.
Question 134
An organization needs to train a machine learning model to categorize photographs.
Which Google Cloud product or service should the organization use?
A. Video Intelligence API
B. AutoML Vision
C. BigQuery ML
D. Looker
Show Answer
Correct Answer: B
Explanation: The requirement is to train a machine learning model to categorize photographs (image classification). AutoML Vision is specifically designed to let organizations train custom image classification models using their own labeled images. Video Intelligence API is for video analysis, BigQuery ML is for SQL-based models on structured data, and Looker is a BI/analytics tool.
Question 135
How do out-of-the-box APIs make artificial intelligence and machine learning more accessible for all Google Cloud customers?
A. They don't require technical specialists.
B. They don't require data input and validation.
C. They require fewer security permissions.
D. They all require custom training models.
Show Answer
Correct Answer: A
Explanation: Out-of-the-box Google Cloud AI/ML APIs are pre-trained and ready to use, which lowers the barrier to entry by minimizing the need for specialized technical or data science expertise. Users can integrate AI capabilities via simple API calls without building or training custom models.
Question 136
An organization wants to introduce a new image recognition login system.
What should the organization do to follow SRE principles?
A. Roll out the new system to a subset of employees to test it out.
B. Roll out the new system to all employees to collect as much data as possible.
C. Avoid rolling out the new system because it may have security flaws.
D. Avoid rolling out the new system because it may violate privacy policy.
Show Answer
Correct Answer: A
Explanation: SRE principles emphasize reducing the cost of failure through incremental rollouts, experimentation, and monitoring. Deploying the new login system to a small subset of employees allows the organization to test reliability, usability, and security, detect issues early, and limit blast radius before a wider release.
Question 137
A multinational organization has decided to use public cloud services to modernize their IT infrastructure.
What is one benefit of doing this?
A. They can perform hardware maintenance outside of normal business hours.
B. They can expect 100% service availability in all regions.
C. Built-in security is no longer required during data migrations.
D. Access to data and computer resources is not tied to a geographical location.
Show Answer
Correct Answer: D
Explanation: A key benefit of using public cloud services is location independence: users can access data and computing resources over the internet from anywhere, rather than being tied to a specific physical site. The other options are incorrect because hardware maintenance is handled by the provider (not a direct benefit as stated), 100% availability is unrealistic, and security remains essential during data migrations.
Question 138
An organization is planning to create many new applications and needs a system for managing and orchestrating their containers.
Why should they use Google Kubernetes Engine?
A. It enables rapid application deployment and testing.
B. It optimizes virtual machine performance.
C. It connects legacy systems to an application.
D. It provides pre-written source code for application development.
Show Answer
Correct Answer: A
Explanation: Google Kubernetes Engine (GKE) is a managed Kubernetes service designed to deploy, manage, and scale containerized applications efficiently. It enables rapid application deployment, updates, testing, and orchestration of containers, which directly addresses the need to manage many new applications. The other options do not align with GKE’s core purpose.
Question 139
How does Google Cloud enable customers to leverage the power of artificial intelligence and machine learning?
A. With scalable on-premises tensor processing units
B. With APIs and tools for users at different levels of expertise
C. With affordable and scalable quantum computing
D. With machine learning models that always require custom training
Show Answer
Correct Answer: B
Explanation: Google Cloud’s AI/ML offerings focus on accessibility through managed services, pre-trained models, AutoML, and APIs that support users ranging from beginners to advanced practitioners. This enables customers to adopt AI/ML without requiring deep expertise, which aligns with option B. The other options are incorrect or misleading: Google Cloud does not provide on‑premises TPUs as the primary model, does not offer affordable scalable quantum computing for customers, and does not require all ML models to be custom trained.
Question 140
Your organization runs many workloads in different Google Cloud projects, each linked to the same billing account. Each project's workload costs can vary from month to month, but the overall combined cost of all projects is relatively stable. Your organization needs to optimize its cost.
What should your organization do?
A. Purchase a commitment per project for each project's usual minimum
B. Create a billing account per project, and link each project to a different billing account
C. Turn on committed use discount sharing, and create a commitment for the combined usage
D. Move all workloads from all different projects into one single consolidated project
Show Answer
Correct Answer: C
Explanation: All projects already share a single billing account and the combined usage is stable. By enabling committed use discount (CUD) sharing at the billing account level and purchasing a commitment sized for the aggregated usage, the organization can maximize discount utilization despite per-project variability. Per-project commitments risk underutilization, separate billing accounts prevent sharing, and consolidating projects harms isolation without improving cost optimization.
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