Cloud Digital Leader Free Practice Questions — Page 13
Question 121
A public cloud provider's service level performance has moved below the service level objective (SLO), but remains above the service level agreement (SLA).
What is an outcome of this change in service level performance?
A. The public cloud provider is encouraged to push out new updates
B. The public cloud provider is encouraged to prioritize service reliability
C. End users face unexpected or prolonged downtime
D. End users face a decrease in service latency
Show Answer
Correct Answer: B
Explanation: Service level objectives (SLOs) are internal performance targets set higher than the contractual service level agreement (SLA). If performance drops below the SLO but remains above the SLA, the provider is still meeting customer commitments, so users are not guaranteed to experience downtime or latency changes. However, the SLO breach serves as an internal warning signal, prompting the provider to shift focus and prioritize service reliability and improvement to avoid future SLA violations.
Question 122
How does Google Cloud AI Hub make machine learning easy and accessible for Google Cloud customers to get started?
A. It deploys artificial intelligence models in real time
B. It automatically codes users’ machine learn ng models
C. It automatically sources and prepares users’ machine learning data
D. It includes a repository of plug-and-play artificial intelligence tools
Show Answer
Correct Answer: D
Explanation: Google Cloud AI Hub lowers the barrier to entry by providing a centralized repository of pre-built, plug-and-play machine learning assets such as pre-trained models, pipelines, notebooks, and reusable components. Customers can discover, reuse, and customize these resources to quickly get started with machine learning without building everything from scratch.
Question 123
A large retail organization uses traditional technology for their ecommerce website. During peaks in traffic, resources are often underutilized or overprovisioned. They have decided to migrate to cloud technology.
What aspect of cloud technology will benefit their ecommerce business?
A. Agile infrastructure means that they only pay for what they need, when they need it.
B. Operational expenditure means that their total cost of ownership is more predictable.
C. Unlimited storage means that their website will never experience downtime.
D. Shared responsibility means that the cloud provider brings increased visibility during peaks in traffic.
Show Answer
Correct Answer: A
Explanation: The key cloud benefit for handling variable ecommerce traffic is elasticity with a pay‑as‑you‑go model. Agile, elastic infrastructure allows resources to scale up during peak demand and scale down during low usage, avoiding overprovisioning and underutilization. The other options misrepresent cloud concepts (OpEx predictability, unlimited storage, or shared responsibility).
Question 124
An organization wants a serverless execution environment for building and connecting cloud services. They can't predict how many resources they'll need.
Which Google Cloud solution should they use?
A. Compute Engine
B. Google Kubernetes Engine
C. Cloud Functions
D. Bare Metal Solution for SAP
Show Answer
Correct Answer: C
Explanation: The requirement is for a serverless execution environment that automatically scales without needing to predict resource usage. Cloud Functions is Google Cloud’s serverless platform designed specifically for building and connecting cloud services, with no infrastructure management. Compute Engine and GKE require capacity planning and management, and Bare Metal Solution is not serverless.
Question 125
An organization cannot afford to modernize their infrastructure, but they want to process data from their legacy system in a modem platform hosted by a business partner.
What solution should the organization choose to make their data accessible?
A. Compute Engine
B. Anthos
C. An application programming interface
D. Google Kubernetes Engine
Show Answer
Correct Answer: C
Explanation: The organization cannot modernize its infrastructure but needs to make legacy data accessible to a modern platform run by a partner. Exposing the legacy system through an application programming interface (API) allows external systems to securely access and process the data without changing the underlying infrastructure. Compute Engine, GKE, and Anthos are infrastructure or platform modernization solutions, which the organization explicitly cannot afford.
Question 126
An organization is struggling to ensure that their legacy systems meet rapidly changing IT needs.
Why should the organization use application programming interfaces (APIs)?
A. To expose all underlying data so third parties can make amends
B. To completely re-architect legacy applications
C. To achieve long-term operational flexibility
D. To operate on a pay-as-you go model so IT can scale flexibly
Show Answer
Correct Answer: C
Explanation: APIs allow legacy systems to be extended and integrated with new applications without rewriting or re-architecting them. By decoupling front-end consumers from back-end systems, APIs enable organizations to adapt to changing IT needs, add new digital channels, and evolve incrementally. This provides long-term operational flexibility. The other options are incorrect because APIs do not require exposing all data, do not mandate re-architecting legacy systems, and are not primarily about pay-as-you-go pricing models.
Question 127
An organization wants to better understand the behavior of their code in production and analyze its state to identify hard-to-find programming errors.
Which Google Cloud tool should the organization use?
A. Debugger
B. Profiler
C. Cloud Monitoring
D. Trace
Show Answer
Correct Answer: A
Explanation: Cloud Debugger is designed to inspect the state and behavior of code running in production without stopping or redeploying it. It allows capturing snapshots of variables and call stacks and adding logpoints, which helps identify hard-to-find programming errors that are difficult to reproduce elsewhere. Profiler focuses on performance, Cloud Monitoring on metrics and health, and Trace on request latency and flow.
Question 128
An organization needs to train a custom machine learning model to categorize customer responses from their website's contact form.
Which Google Cloud product or service should the organization use?
A. Anthos
B. Recommendations AI
C. AutoML Natural Language
D. Pub/Sub
Show Answer
Correct Answer: C
Explanation: The task is to train a custom machine learning model to categorize text submitted through a contact form, which is a natural language text classification problem. AutoML Natural Language is specifically designed for building custom NLP models such as text classification using labeled text data. The other options do not fit: Anthos is for hybrid/multi-cloud management, Recommendations AI is for product recommendations, and Pub/Sub is a messaging service.
Question 129
An organization wants to build autoscaling web applications without having to manage application infrastructure
Which Google Cloud product should they use?
A. Anthos
B. Apigee
C. AutoML
D. App Engine
Show Answer
Correct Answer: D
Explanation: The requirement is to build autoscaling web applications without managing application infrastructure. Google App Engine is a fully managed Platform as a Service (PaaS) that automatically handles provisioning, scaling, and server management for web apps. Anthos focuses on hybrid/multi-cloud management, Apigee is for API management, and AutoML is for machine learning, so they do not meet the requirement.
Question 130
A customer service department wants to increase their operational efficiency while maintaining personalized dialog with their customers.
What Google Cloud product or service should the organization use?
A. Recommendations Al
B. Cloud Identity
C. Contact Center Al
D. Text-to-Speech
Show Answer
Correct Answer: C
Explanation: Contact Center AI is specifically designed to improve customer service efficiency while preserving personalized interactions. It uses conversational AI, speech recognition, and natural language understanding to automate routine inquiries, assist agents in real time, and provide tailored responses, freeing human agents to focus on complex customer needs.
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