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: An SLO is an internal target that is typically more stringent than the customer-facing SLA. If service performance falls below the SLO but remains above the SLA, the provider has not yet breached its contractual commitment but has missed its internal reliability target. The expected outcome is that the provider should shift focus toward improving and prioritizing service reliability to avoid an eventual SLA breach. Options C and D describe customer impacts that are not implied by remaining above the SLA, and A is the opposite of common SRE practice when error budgets are exhausted or reduced.
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 is designed as a repository for discovering, sharing, and reusing ML assets such as pre-trained models, pipelines, notebooks, and other components. It helps customers get started quickly by providing plug-and-play AI resources rather than automatically coding models, preparing data, or deploying models in real time.
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: Cloud elasticity and pay-as-you-go pricing allow resources to scale up during peak ecommerce traffic and scale down afterward, reducing overprovisioning and underutilization. This aligns with agile infrastructure. Operational expenditure does not inherently make total cost of ownership more predictable, unlimited storage does not prevent downtime, and the shared responsibility model concerns security and operational responsibilities, not traffic visibility.
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: Cloud Functions is Google Cloud's serverless execution environment for building and connecting cloud services. It automatically scales based on demand, so you do not need to provision or predict infrastructure capacity. Compute Engine, GKE, and Bare Metal Solution all require infrastructure management or are 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: An application programming interface (API) is the standard way to expose data and functionality from a legacy system so that a modern platform operated by a business partner can securely access and process it without requiring the legacy infrastructure to be modernized. Compute Engine and Google Kubernetes Engine are compute platforms, and Anthos is a hybrid/multicloud application platform rather than the primary mechanism for exposing legacy system data.
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 organizations to expose functionality from legacy systems through stable interfaces, enabling integration with new applications and adapting to changing business and IT needs without rewriting or completely re-architecting existing systems. This provides long-term operational flexibility. Option A is incorrect because APIs do not expose all underlying data. Option B is incorrect because APIs help avoid complete re-architecture. Option D describes a cloud pricing model, not the primary purpose of APIs.
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 applications running in production without stopping them. It allows developers to capture snapshots of variables and call stacks and set logpoints, making it well suited for diagnosing hard-to-reproduce programming errors. Profiler focuses on CPU and memory performance, Cloud Monitoring on metrics and health, and Trace on request latency and distributed tracing.
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: AutoML Natural Language is designed to train custom machine learning models for NLP tasks such as text classification. Categorizing customer responses from a website contact form is a text classification use case. Anthos is for hybrid/multicloud application 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: App Engine is a fully managed platform-as-a-service (PaaS) for building and hosting web applications. It automatically scales applications based on demand and eliminates the need to manage the underlying server infrastructure. Anthos is for hybrid/multicloud Kubernetes management, Apigee is an API management platform, and AutoML is for building machine learning models.
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 designed specifically to improve customer service operations by automating interactions with conversational AI while enabling personalized customer experiences. Recommendations AI is for product recommendations, Cloud Identity is for identity and access management, and Text-to-Speech is only a speech synthesis service rather than a complete customer service solution.
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