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 361–370 of 495

Q361

Which service is optimal for deploying ML models at scale?

  • A Google Kubernetes Engine
  • B BigQuery ML
  • C Vertex AI
  • D Cloud Functions
Explanation Vertex AI is designed for deploying ML models, while others serve different purposes.
Q362

A company needs to analyze unstructured text data stored in Cloud Storage. What service should they use?

  • A BigQuery
  • B Cloud Pub/Sub
  • C Cloud Natural Language API
  • D Dataproc
Explanation Cloud Natural Language API is specifically designed for unstructured text analysis.
Q363

What happens when you enable AutoML on a dataset in Vertex AI?

  • A It automatically labels the data
  • B It generates feature sets
  • C It trains models based on it
  • D It deletes unused data
Explanation Enabling AutoML allows the service to efficiently train models using the dataset.
Q364

Which service is recommended for real-time data analytics?

  • A BigQuery
  • B Cloud Pub/Sub
  • C Cloud Functions
  • D Cloud Storage
Explanation Cloud Pub/Sub is designed for real-time message ingestion and processing, while BigQuery is for querying large datasets. The other options do not primarily focus on real-time analytics.
Q365

A company needs to optimize machine learning model performance. What should they focus on first?

  • A Increasing dataset size
  • B Feature engineering
  • C Hyperparameter tuning
  • D Model complexity
Explanation Feature engineering directly impacts model input quality and predictive power, making it a crucial first step before other optimizations. Increasing dataset size may not always lead to better performance, and other options come later.
Q366

What happens when you enable AutoML for a dataset in Google Cloud?

  • A Model selection automatically occurs
  • B No changes are made
  • C Data is permanently altered
  • D Pricing increases instantly
Explanation Enabling AutoML automatically initiates model training using the dataset provided. The other options incorrectly imply consequences that do not occur.
Q367

Which Google Cloud service is best for deploying a REST API?

  • A App Engine
  • B Cloud Functions
  • C Cloud Run
  • D Cloud Storage
Explanation Cloud Run is designed for containerized applications and is ideal for deploying REST APIs, while others serve different purposes.
Q368

A company needs to analyze large datasets with complex queries without managing infrastructure. What should they use?

  • A BigQuery
  • B Cloud SQL
  • C Dataproc
  • D Cloud Datastore
Explanation BigQuery is a fully managed data warehouse designed for analysis of large datasets with complex queries, unlike other options which require more management.
Q369

You are configuring a recommendation model in Google Cloud. What happens if you use a bias term in the model?

  • A Improves model accuracy
  • B Increases training time
  • C Eliminates overfitting
  • D Provides more reliable predictions
Explanation Including a bias term allows the model to better capture relationships in the data, thereby improving accuracy, while other options do not describe beneficial effects of bias terms.
Q370

Which Google Cloud service is used for managing containerized applications?

  • A Google Kubernetes Engine
  • B Cloud Functions
  • C App Engine
  • D Cloud Run
Explanation Google Kubernetes Engine orchestrates containerized applications, while others serve different deployment needs.