Google Cloud
Google Cloud Certified – Generative AI Leader
PR000309
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Become a certified Generative AI Leader with exam code PR000309 to enhance your AI skills in Google Cloud.
489 questions
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Questions 241–250 of 489
Which service optimally manages machine learning models at scale?
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A
AI Platform
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B
Dataflow
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C
Pub/Sub
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D
Datastore
Explanation
AI Platform specializes in deploying and managing ML models, while the others support different data processing and messaging tasks.
You are configuring Google Cloud Functions for an HTTP-triggered event. What happens if a function times out?
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A
It restarts automatically.
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B
It fails and returns an error.
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C
It completes successfully.
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D
Logs the event without action.
Explanation
A timeout will cause the function to fail and send back an error response.
A company needs scalable solutions for storing semi-structured data. Which database should they select?
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A
Cloud Spanner
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B
Bigtable
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C
Cloud Firestore
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D
Cloud SQL
Explanation
Cloud Firestore is designed for semi-structured data, while the others are better suited for structured or specific use cases.
Which Google Cloud service is best for automating machine learning tasks?
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A
AI Platform
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B
BigQuery
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C
Cloud Functions
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D
Dataflow
Explanation
AI Platform provides tools for automating ML workflows, while others are for data or execution.
A company needs to analyze real-time streaming data. Which service should they use?
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A
Pub/Sub
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B
Cloud Storage
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C
Cloud Spanner
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D
App Engine
Explanation
Pub/Sub is designed for real-time messaging, while others are intended for storage or databases.
What happens when a Google Cloud Function exceeds its timeout limit?
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A
Function auto-restores.
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B
Error is returned to caller.
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C
Function continues processing.
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D
Billing charges stop.
Explanation
If a function exceeds its timeout, an error is returned to the caller; the others are false scenarios.
Which service would you use for scalable machine learning on structured data?
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A
BigQuery ML
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B
Cloud Functions
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C
Cloud SQL
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D
Dataflow
Explanation
BigQuery ML enables machine learning directly in BigQuery; others are not primarily for ML tasks.
A company needs to automate ML model predictions using event-driven architecture. Which service is most appropriate?
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A
Cloud Functions
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B
Compute Engine
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C
App Engine
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D
Cloud Run
Explanation
Cloud Functions are ideal for serverless event-driven actions; others don't focus on event-driven automation.
You are configuring an instance to auto-scale. What happens when the maximum number of instances is reached?
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A
No new instances will be created
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B
Compute Engine crashes
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C
Instances will restart automatically
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D
New load balancer is created
Explanation
Reaching max instances means no more instances can be launched; the others are inaccurate or impossible events.
Which service can help optimize ML model deployment costs?
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A
Vertex AI
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B
Firebase
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C
Cloud Pub/Sub
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D
Cloud Functions
Explanation
Vertex AI provides tools for cost-efficient model serving, while others do not specialize in ML deployments.