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 181–190 of 495

Q181

Which service allows for automated machine learning model tuning?

  • A AutoML
  • B Cloud Functions
  • C AI Platform Pipelines
  • D BigQuery ML
Explanation AutoML provides tools for automated model tuning, while others like Cloud Functions and BigQuery ML serve different purposes.
Q182

A company needs to analyze streaming data in real time. Which Google Cloud service should they use?

  • A Cloud Storage
  • B Google Dataflow
  • C Cloud Pub/Sub
  • D BigQuery
Explanation Google Dataflow is specifically designed for processing streaming data, while other options are not focused on real-time analysis.
Q183

What happens when you deploy a model with a low confidence threshold?

  • A Increased prediction accuracy
  • B More false positives
  • C Decreased prediction latency
  • D Reduced resource allocation
Explanation A low confidence threshold likely results in more predictions being accepted, increasing the chances of false positives.
Q184

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

  • A AI Platform
  • B Cloud Storage
  • C BigQuery
  • D Compute Engine
Explanation AI Platform is tailored for building ML models, while others serve different purposes.
Q185

A company needs to manage user permissions for datasets in BigQuery. What is the best practice?

  • A Set dataset-level IAM permissions
  • B Use Cloud Pub/Sub roles
  • C Create individual tables for each user
  • D Restrict access with firewall rules
Explanation Setting dataset-level IAM permissions controls access efficiently, while other options are not effective.
Q186

What happens when you enable the 'AutoML' feature in Vertex AI?

  • A Manual model tuning is required
  • B Models are automatically trained
  • C Only regression models can be built
  • D It disables custom model options
Explanation AutoML allows for automation in training models, whereas other options are incorrect functionalities.
Q187

Which service allows you to deploy machine learning models in production?

  • A AI Platform
  • B BigQuery
  • C Dataflow
  • D Cloud Storage
Explanation AI Platform is designed for model deployment, while others serve different purposes.
Q188

A company needs to evaluate multiple models effectively. Which metric should they prioritize?

  • A Accuracy
  • B F1 Score
  • C R-squared
  • D RMSE
Explanation F1 Score is crucial for imbalanced datasets, unlike the others which may not reflect performance well.
Q189

You are configuring a data pipeline in Google Cloud. What happens when you set a skewed shuffle function?

  • A Improved performance
  • B Data loss
  • C Increased resource usage
  • D Faster data processing
Explanation Skewed shuffle functions can lead to increased resource usage, not improved outcomes.
Q190

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

  • A Cloud Dataflow
  • B Cloud Storage
  • C BigQuery
  • D Cloud Pub/Sub
Explanation Cloud Dataflow is designed specifically for real-time data processing, whereas others serve different purposes.