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 0 views Free
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Questions 401–410 of 495

Q401

A company needs to classify images using a neural network but lacks extensive labeled data. What is the most effective approach to take?

  • A Use transfer learning
  • B Gather more labeled data
  • C Implement unsupervised learning
  • D Develop a custom architecture
Explanation Transfer learning leverages pre-trained models, ideal with limited data; gathering more data might be impractical, unsupervised learning won't directly classify labels, and custom architecture is unnecessary complexity.
Q402

You are configuring BigQuery for real-time data analysis. What happens when you use a streaming insert?

  • A Data is immediately available for querying
  • B Data is discarded after 24 hours
  • C Data needs to be manually loaded
  • D Data is stored in local cache
Explanation Streaming inserts make data immediately available in BigQuery; data is not discarded, does not need manual loading, and isn't stored in local cache.
Q403

Which Google Cloud service allows for serverless event-driven functions?

  • A Cloud Function
  • B App Engine
  • C Cloud Run
  • D Cloud Storage
Explanation Cloud Functions is specifically designed for serverless event-driven use cases, unlike the other services listed.
Q404

A healthcare startup needs to ensure patient data is encrypted during transmission. Which service should they utilize?

  • A Cloud Pub/Sub
  • B Cloud Storage
  • C Cloud VPN
  • D BigQuery
Explanation Cloud VPN provides a secure, encrypted tunnel for data transmission, while others do not focus on encryption in transit.
Q405

You are configuring automated ML models with AutoML on Google Cloud. What happens if you input data with a feature that is not supported?

  • A Model training fails completely
  • B Feature is ignored
  • C Error is logged for review
  • D Model predicts without the feature
Explanation AutoML will ignore unsupported features without failing the model training process.
Q406

Which Google Cloud service best supports large-scale data processing jobs?

  • A Cloud Dataflow
  • B Cloud Storage
  • C BigQuery
  • D Cloud Functions
Explanation Cloud Dataflow is designed for large-scale data processing, while others serve different purposes.
Q407

A company needs real-time analytics for streaming data. Which service should they use?

  • A Cloud Pub/Sub
  • B BigQuery
  • C Cloud Functions
  • D App Engine
Explanation Cloud Pub/Sub enables real-time messaging for streaming data; the others do not specialize in real-time analytics.
Q408

What happens when you delete a Google Cloud Storage bucket containing immutable objects?

  • A Objects are permanently deleted
  • B Deletion is not allowed
  • C Objects are marked for retention
  • D Only metadata is deleted
Explanation Deletion of a bucket that contains immutable objects is not allowed until the objects are removed.
Q409

Which service is best suited for developing machine learning models on Google Cloud?

  • A Cloud AI Platform
  • B BigQuery
  • C Firestore
  • D Cloud Functions
Explanation Cloud AI Platform provides dedicated tools for ML model training, while the others serve different purposes.
Q410

A company needs to process real-time data streams. Which service should they use?

  • A Cloud Pub/Sub
  • B Cloud Storage
  • C Cloud SQL
  • D Google Kubernetes Engine
Explanation Cloud Pub/Sub is designed for real-time messaging, unlike the options that focus on storage or orchestration.