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: Cloud Storage is the Google Cloud service that provides multiple storage classes, including Standard, Nearline, Coldline, and Archive. This allows frequently accessed data to remain in Standard storage while infrequently accessed data is stored in lower-cost Nearline, Coldline, or Archive classes. Filestore is managed file storage, Data Catalog is for metadata management, and Cloud Spanner is a globally distributed relational database.
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. It is designed to build, publish, secure, manage, and monitor APIs so they can be reused easily by developers across current and future projects. The other options address application migration, application hosting, or no-code app development rather than API management.
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: An SLA defines the provider's service commitments and the remedies if those commitments are not met. The typical customer remedy is a service credit or refund for the period of service interruption or reduced service, as specified in the SLA. The other options are not standard SLA remedies.
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: AutoML Vision is the Google Cloud service for training custom image classification models using labeled image datasets. Video Intelligence API is for video analysis, BigQuery ML is for creating ML models in SQL on tabular data, and Looker is a BI and analytics platform.
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 APIs are pre-trained services (such as Vision, Speech, and Natural Language APIs) that allow developers to add AI capabilities without building or training models from scratch. This lowers the level of ML expertise required. They still require data inputs for inference, do not inherently reduce security permission requirements, and not all require custom training 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 blast radius of changes through gradual rollouts, canary deployments, and iterative validation. Deploying the new image recognition login system to a subset of employees allows monitoring, gathering feedback, and identifying issues before wider deployment. Rolling it out to everyone immediately increases risk, while avoiding deployment altogether is not an SRE principle.
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: Public cloud services allow users to access applications, data, and computing resources over the internet from virtually any location, rather than being tied to a specific physical site. A is incorrect because hardware maintenance is handled by the cloud provider, not the customer. B is incorrect because no cloud provider guarantees 100% availability. C is incorrect because security remains essential during data migrations under the shared responsibility model.
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 orchestrate containerized applications. It supports rapid deployment, scaling, updates, and testing of applications. The other options describe unrelated capabilities: optimizing VM performance, connecting legacy systems, or providing pre-written source code are not the primary purpose of GKE.
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 provides AI and ML through managed APIs, pre-trained services, AutoML, Vertex AI, and developer tools that support users ranging from beginners to ML experts. It does not offer scalable on-premises TPUs as the defining capability, quantum computing is unrelated to its core AI/ML offering, and many Google Cloud ML services use pre-trained models rather than always requiring custom training.
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: The projects already share a single billing account, and while individual project usage fluctuates, the aggregate usage is stable. Enabling committed use discount (CUD) sharing and purchasing commitments based on the combined usage maximizes commitment utilization across projects and reduces the risk of underutilized commitments. Separate commitments per project are less efficient when workloads vary, creating separate billing accounts prevents sharing benefits, and consolidating all workloads into one project does not improve commitment optimization and sacrifices project isolation.
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