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 221–230 of 495

Q221

A company needs an ML model for image classification. Which approach is most appropriate?

  • A Use AutoML Vision
  • B Build from scratch
  • C Use Cloud Run
  • D Employ Dataflow
Explanation AutoML Vision is tailored for image classification, unlike the others.
Q222

You are configuring a model on AI Platform. What does enabling GPU acceleration do?

  • A Increases data redundancy
  • B Speeds up model training
  • C Decreases cost
  • D Ensures data quality
Explanation GPU acceleration primarily speeds up model training processes.
Q223

Which Google Cloud service is best for managing large-scale machine learning workflows?

  • A Cloud AI Platform
  • B Cloud Functions
  • C Cloud Storage
  • D Compute Engine
Explanation Cloud AI Platform is designed specifically for managing ML workflows, unlike the other options which focus on different functionalities.
Q224

A company needs to deploy a machine learning model but wants to minimize API latency. What should they choose?

  • A Cloud Run
  • B Cloud Functions
  • C AI Platform Predictions
  • D Cloud Storage
Explanation AI Platform Predictions is optimized for low-latency serving of models, while others are not primarily designed for this purpose.
Q225

What happens when you use an unbounded dataset in a BigQuery machine learning model?

  • A It fails with error.
  • B It works but uses all quota.
  • C Training is inefficient.
  • D It produces biased results.
Explanation While training on unbounded datasets may succeed, it can lead to inefficiencies in resource usage and higher costs.
Q226

Which Google Cloud service is designed for deploying containerized applications?

  • A App Engine
  • B Cloud Functions
  • C Google Kubernetes Engine
  • D Cloud Run
Explanation Google Kubernetes Engine is specifically designed for managing container orchestration, unlike the others which serve different purposes.
Q227

A company needs to process data in real-time with Google Cloud. Which service is best suited for this requirement?

  • A BigQuery
  • B Cloud Dataflow
  • C Cloud Storage
  • D Cloud Pub/Sub
Explanation Cloud Dataflow is optimized for real-time data processing, while the others focus on different functionalities.
Q228

You are configuring your machine learning model for calibration. What technique would you apply to ensure the predicted probabilities are representative?

  • A Overfitting
  • B Platt Scaling
  • C Regularization
  • D Feature Selection
Explanation Platt Scaling is the standard technique used for probability calibration, while the other options serve different purposes in model training.
Q229

Which service is best for real-time data processing?

  • A Cloud Pub/Sub
  • B Cloud Functions
  • C Cloud Storage
  • D BigQuery
Explanation Cloud Pub/Sub is designed for real-time messaging, while the others are for batch processing or storage.
Q230

A company needs to securely share access keys. What service should they use?

  • A Cloud Identity
  • B Secret Manager
  • C Cloud IAM
  • D Cloud Storage
Explanation Secret Manager securely stores, manages, and accesses API keys.