Google Cloud
Google Cloud Certified – Professional Machine Learning Engineer
PR000269
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Validate your skills as a Professional Machine Learning Engineer with exam code PR000269 in Google Cloud.
495 questions
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Questions 151–160 of 495
Which Google Cloud service is best for batch data processing?
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A
Cloud Dataflow
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B
Cloud Functions
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C
Cloud Run
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D
Cloud Bigtable
Explanation
Cloud Dataflow efficiently handles batch processing, while the others are better for real-time or other tasks.
A company needs to deploy a machine learning model to serve real-time predictions. What should they choose?
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A
Cloud Storage
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B
AutoML
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C
Vertex AI Endpoints
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D
BigQuery ML
Explanation
Vertex AI Endpoints are specifically designed for serving predictions in real-time.
What happens when you disable a Google Cloud IAM role for a user?
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A
User loses all access immediately
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B
Notifications are sent to the user
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C
Existing sessions remain active
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D
User can still see role permissions
Explanation
Disabling a role means future access is blocked, but existing sessions remain active until the user logs out.
Which service is best for image analysis?
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A
Cloud Vision API
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B
Cloud Storage
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C
BigQuery
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D
Cloud Functions
Explanation
Cloud Vision API specializes in image analysis, while others do not.
A company needs to deploy a machine learning model with low latency. What should they consider when choosing a deployment platform?
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A
Cost per hour
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B
Response time
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C
Model training time
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D
Data storage capacity
Explanation
Low latency focuses on response time, not the other factors.
You are configuring a model hyperparameter tuning job. What happens when you set 'maxTrials' too high?
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A
Quicker optimization
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B
Increased resource consumption
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C
No effect on tuning
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D
Reduced model accuracy
Explanation
A high 'maxTrials' increases resource consumption without guaranteeing better results.
Which service is best for serverless machine learning workflows?
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A
Cloud Functions
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B
Dataflow
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C
Vertex AI
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D
App Engine
Explanation
Vertex AI integrates ML with serverless features, while others are less focused on ML workflows.
A company needs to process large data batches daily. Which Dataflow feature is optimal?
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A
Streaming Processing
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B
Batch Processing
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C
SQL Transformations
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D
Pipeline Optimization
Explanation
Batch Processing is designed for large datasets scheduled over time, unlike streaming which processes real-time data.
What happens when a node in a Kubernetes cluster becomes unhealthy?
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A
Traffic rerouted immediately
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B
Cluster becomes inoperable
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C
Pods terminated and restarted
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D
Nodes automatically scaled down
Explanation
Pods are rescheduled on healthy nodes, ensuring availability and fault tolerance.
Which service is best for batch processing of large datasets in Google Cloud?
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A
Google Cloud Dataflow
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B
Google Cloud Functions
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C
Google Cloud Storage
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D
Google Compute Engine
Explanation
Google Cloud Dataflow is optimized for batch and stream processing, while others are not primarily designed for this purpose.