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 131–140 of 495

Q131

A company needs to train a model on their own hardware but also leverage Google Cloud's TPU. What should they use?

  • A Vertex AI Workbench
  • B Cloud Functions
  • C App Engine
  • D Cloud Pub/Sub
Explanation Vertex AI Workbench allows training on both local and TPU hardware.
Q132

What happens when you set an IAM role to 'deny' for a user already granted the role?

  • A User accesses all resources
  • B User fails all access
  • C Access remains unchanged
  • D User access is limited
Explanation Deny roles override any permissions granted earlier, revoking access completely.
Q133

Which service in Google Cloud is best for serving static website content?

  • A Cloud Storage
  • B Compute Engine
  • C Cloud Functions
  • D App Engine
Explanation Cloud Storage is designed for easily hosting static content, whereas other options require additional configurations or are not optimized for static files.
Q134

A company needs to implement a machine learning solution that can process video streams in real time. What Google Cloud service is most suitable for this requirement?

  • A Cloud Pub/Sub
  • B Cloud Dataflow
  • C Vertex AI
  • D Cloud Functions
Explanation Cloud Dataflow is optimized for processing streaming data, including video, while other options are not tailored to this specific need.
Q135

What happens when you configure a TensorFlow model using early stopping?

  • A Model training will stop early.
  • B Model accuracy will decrease.
  • C Training will always reach 100% accuracy.
  • D Model is regularized automatically.
Explanation Early stopping is a technique to halt training when performance on validation data stops improving, optimizing resource usage and preventing overfitting.
Q136

Which service is best for real-time data processing in Google Cloud?

  • A Cloud Pub/Sub
  • B Cloud Functions
  • C Cloud Storage
  • D BigQuery
Explanation Cloud Pub/Sub is designed for real-time data ingestion, while others focus on storage or batch processing.
Q137

A company needs to deploy a model that predicts product demand based on time series data. What should they use?

  • A AutoML Tables
  • B BigQuery ML
  • C TensorFlow
  • D Cloud Dataprep
Explanation BigQuery ML allows time series forecasting directly in SQL, suited for demand prediction.
Q138

You are configuring a machine learning model for sensitive user data. What happens when you enable data pseudonymization?

  • A Data remains unchanged.
  • B Only user IDs are encrypted.
  • C Data can be traced back easily.
  • D Identities are masked for privacy.
Explanation Pseudonymization masks identities, enhancing privacy; the other options incorrectly suggest unchanged or insecure data.
Q139

Which service would you use for real-time data processing in GCP?

  • A Cloud Dataflow
  • B Cloud Functions
  • C Cloud Storage
  • D BigQuery
Explanation Cloud Dataflow is designed for stream processing, while others serve different purposes.
Q140

A company needs to integrate multiple machine learning models into a single inference API. What is the best GCP service to achieve this?

  • A AI Platform
  • B Cloud Functions
  • C App Engine
  • D Cloud Run
Explanation AI Platform allows for model serving, while others are for different functions.