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 191–200 of 495

Q191

A company wants to use machine learning models to predict customer churn. What should they prioritize in their dataset?

  • A Increasing dataset size
  • B Reducing feature dimensionality
  • C Adding irrelevant features
  • D Balancing class distribution
Explanation Balancing class distribution is crucial for accurate predictions, while irrelevant features and dimensionality reduction might not help as much in this context.
Q192

You are configuring Google Cloud IAM roles. What happens if a user has multiple roles with different permissions?

  • A Only the highest role applies
  • B All roles are combined
  • C Only the lowest role applies
  • D Permissions are ignored
Explanation All roles are combined, granting cumulative permissions, making option A incorrect as the highest does not override others.
Q193

Which service enables real-time data processing in Google Cloud?

  • A Cloud Pub/Sub
  • B BigQuery
  • C Dataflow
  • D Cloud Storage
Explanation Dataflow is specifically designed for real-time processing, while the others provide different functionalities.
Q194

A company needs to comply with GDPR for its machine learning datasets. What should it do?

  • A Encrypt the datasets at rest
  • B Store data in the U.S.
  • C Remove all personal identifiers
  • D Limiting data access to engineers only
Explanation Removing personal identifiers is key for GDPR compliance, unlike options B and D which do not ensure full compliance.
Q195

You are configuring a TensorFlow model for deployment on Vertex AI. What should you ensure before deployment?

  • A Model is TensorFlow 2.x compatible
  • B Model must use Keras exclusively
  • C Model is optimized for CPU only
  • D Model training must be completed locally
Explanation TensorFlow 2.x compatibility is required for seamless deployment, while other options impose unnecessary restrictions.
Q196

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

  • A Pub/Sub
  • B BigQuery
  • C Cloud Storage
  • D Dataflow
Explanation Pub/Sub is designed for real-time messaging, while the others are for batch processing or storage.
Q197

A company needs to organize ML models with version control. What should they use?

  • A Cloud Source Repositories
  • B AI Platform Models
  • C Docker
  • D Cloud Functions
Explanation AI Platform Models includes built-in version control for ML models, unlike the other options.
Q198

You are configuring AutoML for customer sentiment analysis. What happens when training encounters insufficient labeled data?

  • A Training stops immediately
  • B Model performance declines
  • C Overfitting occurs
  • D Data augmentation happens
Explanation Insufficient labeled data typically leads to poor model performance, whereas overfitting requires careful tuning.
Q199

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

  • A Pub/Sub
  • B Cloud Functions
  • C Cloud Storage
  • D Compute Engine
Explanation Pub/Sub enables real-time message processing; others are not optimized for that use case.
Q200

A company needs to store sensitive JSON data securely. What should they use?

  • A Cloud Firestore
  • B Cloud SQL
  • C Cloud Storage with encryption
  • D Persistent Disk
Explanation Cloud Storage with encryption provides secure data storage; others lack built-in encryption for sensitive data.