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 421–430 of 495
A company wants to analyze large datasets quickly. Which Google Cloud service should they use?
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A
BigQuery
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B
Cloud Functions
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C
Cloud Storage
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D
Cloud Pub/Sub
Explanation
BigQuery is designed for analyzing large datasets efficiently; the others serve different purposes.
What happens when you enable versioning in a Cloud Storage bucket?
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A
Only latest versions are kept.
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B
Previous versions are permanently deleted.
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C
All versions are retained.
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D
Versioning cannot be enabled later.
Explanation
Enabling versioning retains all object versions; other options misrepresent its behavior.
You are configuring a TensorFlow model on AI Platform. Which hyperparameter tuning method is NOT available?
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A
Grid search
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B
Random search
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C
Bayesian optimization
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D
Forecasting analysis
Explanation
Forecasting analysis is unrelated to hyperparameter tuning; the others are valid methods.
Which service is best for deploying machine learning models at scale?
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A
AI Platform Prediction
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B
Cloud Functions
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C
Cloud Storage
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D
Compute Engine
Explanation
AI Platform Prediction is designed for model deployment, while others serve different purposes.
A company needs to predict customer churn using sequential data. Which model would be most appropriate?
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A
Logistic Regression
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B
LSTM
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C
k-Nearest Neighbors
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D
Decision Trees
Explanation
LSTM is ideal for handling sequential data, unlike the other options.
What happens when you set a Cloud Pub/Sub topic to a retention period of 7 days?
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A
Messages are deleted after 7 days
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B
Messages are kept indefinitely
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C
Only new messages are retained
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D
Messages are stored for 1 month
Explanation
Messages in Pub/Sub will be deleted after the retention period expires, which is set to 7 days in this case.
Which service provides managed machine learning endpoints?
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A
Vertex AI
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B
Cloud Functions
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C
Cloud Run
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D
BigQuery
Explanation
Vertex AI provides managed ML endpoints, while the others focus on services like running applications or data analysis.
A company needs to analyze streaming data in real-time. Which approach should they adopt?
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A
Batch processing with Cloud Dataflow
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B
Event-driven approach with Pub/Sub
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C
Static data stored in Cloud Storage
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D
Scheduled queries in BigQuery
Explanation
An event-driven approach with Pub/Sub enables real-time processing, whereas the other options involve delayed analysis.
You are configuring a model to predict housing prices based on various features. What happens when you use too many input features?
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A
Underfitting the model
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B
Overfitting the model
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C
Improved model accuracy
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D
Reduced computation time
Explanation
Using too many features can lead to overfitting, while the other options either distort model training or inaccurately represent outcomes.
Which service is optimal for real-time data processing in GCP?
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A
Cloud Dataflow
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B
Cloud Functions
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C
Cloud Storage
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D
BigQuery
Explanation
Cloud Dataflow is specifically designed for stream and batch data processing, while other options serve different purposes.