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
Start Mock Test Timed · Full-length · Scored

Questions 91–100 of 495

Q91

Which service is designed for large-scale data processing?

  • A BigQuery
  • B Cloud Storage
  • C Cloud Functions
  • D Cloud Run
Explanation BigQuery is tailored for large-scale data analytics whereas others serve different functions.
Q92

A company needs to automate model deployment. Which tool should they use?

  • A Vertex AI Pipelines
  • B Cloud Pub/Sub
  • C Cloud Tasks
  • D Cloud Run
Explanation Vertex AI Pipelines is specifically for automating ML workflows, while others focus on different management features.
Q93

What happens when a Cloud Function exceeds its timeout limit?

  • A Function continues to run
  • B Function returns an error
  • C Function is paused
  • D Function retries automatically
Explanation When a Cloud Function exceeds its timeout, it always returns an error and ceases execution, not retrying unless explicitly coded to do so.
Q94

Which service is optimal for batch data processing on GCP?

  • A BigQuery
  • B Cloud Pub/Sub
  • C Cloud Dataflow
  • D Cloud Functions
Explanation Cloud Dataflow is designed for batch and stream processing, while the others focus on different functionalities.
Q95

A company needs to store and analyze real-time streaming data. What should they use?

  • A Cloud Spanner
  • B Cloud Pub/Sub
  • C Cloud Storage
  • D Cloud SQL
Explanation Cloud Pub/Sub effectively ingests real-time streaming data, while the others serve different use cases.
Q96

What happens when you delete a model version in AI Platform?

  • A The entire model gets deleted
  • B Only the version is deleted
  • C Model gets archived
  • D Restores previous versions automatically
Explanation Only the selected model version is deleted, leaving the model intact with other versions available.
Q97

Which Google Cloud service allows for real-time data processing?

  • A BigQuery
  • B Dataflow
  • C Cloud Functions
  • D Cloud Run
Explanation Dataflow is designed for real-time data processing; the others are not primarily focused on that.
Q98

A company needs to deploy a machine learning model with automatic scaling based on load. Which service should they use?

  • A App Engine
  • B Cloud Functions
  • C AI Platform
  • D Cloud Run
Explanation Cloud Run supports automatic scaling for containerized applications; the others do not meet this specific requirement as effectively.
Q99

What happens when you enable model versioning in AI Platform?

  • A Costs double
  • B Automatic experiments conducted
  • C Multiple versions can coexist
  • D Model training stops
Explanation Model versioning allows multiple versions to coexist without interfering; other options incorrectly imply negative consequences or functionalities that are not true.
Q100

Which Google Cloud service allows auto-scaling based on HTTP request rates?

  • A Google Kubernetes Engine
  • B Cloud Functions
  • C Compute Engine
  • D App Engine
Explanation App Engine supports automatic scaling based on HTTP traffic, unlike the other options.