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 1–10 of 495
Which service is best for training machine learning models at scale?
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A
TensorFlow
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B
BigQuery ML
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C
Cloud AI Platform
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D
Dataproc
Explanation
Cloud AI Platform is designed for scaling models effectively, while others have more limited capabilities for training.
A company wants to analyze streaming data in real time. Which Google Cloud service should they choose?
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A
Cloud SQL
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B
BigQuery
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C
Cloud Pub/Sub
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D
Cloud Functions
Explanation
Cloud Pub/Sub allows for real-time data ingestion, whereas others are not focused on streaming analytics.
What happens when a model is trained with insufficient data?
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A
Overfitting occurs
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B
Underfitting occurs
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C
Data validation fails
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D
Feature selection is required
Explanation
Underfitting occurs because the model lacks sufficient information to learn effectively.
Which service provides a managed solution for deploying machine learning models?
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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
Cloud Pub/Sub
Explanation
AI Platform is designed for deploying ML models; the others serve different purposes.
A company needs to distribute ML workload across multiple GPUs. What should they use?
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A
Compute Engine Instance
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B
Cloud Functions
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C
Cloud Storage
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D
BigQuery
Explanation
Compute Engine can be configured for multiple GPUs, while the others cannot manage GPU workloads effectively.
You are configuring autoscaling for a model serving instance. What happens when load decreases?
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A
Instances will always stay active.
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B
Instances scale down based on policy.
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C
Serving is automatically paused.
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D
No changes occur until manual intervention.
Explanation
Autoscaling adjusts instances automatically according to load; the other options don't reflect automatic scaling principles.
Which service would you use for real-time data analytics in Google Cloud?
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A
BigQuery
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B
Cloud Pub/Sub
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C
Dataflow
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D
Cloud Functions
Explanation
Dataflow is designed for real-time processing of streaming data, while the others are not primarily aimed at real-time analytics.
A company needs to implement a machine learning model that can adapt its predictions based on new data in real time. What should they use?
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A
Batch Learning models
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B
Online Learning models
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C
Transfer Learning models
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D
Reinforcement Learning models
Explanation
Online Learning models continuously update predictions with new data, while others do not.
You are configuring a GCP IAM role for a data scientist. What is the most secure way to give them access to only specific datasets in BigQuery?
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A
Grant 'BigQuery Admin' role
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B
Use dataset-level access controls
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C
Add user to 'Viewer' group
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D
Assign 'BigQuery Job User' role
Explanation
Dataset-level access controls ensure granular security, while the other options either provide too much or too little access.
Which service automates machine learning model training?
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A
AI Platform Training
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B
BigQuery ML
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C
AutoML
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D
Dataflow
Explanation
AutoML is specifically designed for automating model training, while others require manual intervention.