Google Cloud

Google Cloud Certified – Professional Data Engineer

PR000258
Popular Trending

Become a certified Professional Data Engineer with exam code PR000258 to validate your data engineering skills in Google Cloud.

486 questions 0 views Free
Start Mock Test Timed · Full-length · Scored

Questions 271–280 of 486

Q271

Which service is best for real-time analytics?

  • A BigQuery
  • B Cloud Pub/Sub
  • C Cloud Storage
  • D Cloud Functions
Explanation Cloud Pub/Sub enables real-time message ingestion for analytics, while others are better for batch processing or storage.
Q272

A company needs to analyze customer behavior data stored in Cloud Storage. What is the most efficient approach?

  • A Use Cloud Functions to process each file
  • B Load data into BigQuery for analysis
  • C Process data locally using Python scripts
  • D Load data into Cloud SQL
Explanation Loading data into BigQuery allows for efficient analysis using SQL queries, while other options are less scalable or efficient for large datasets.
Q273

You are configuring a Dataflow job to handle streaming data. What happens if the job fails?

  • A Data is permanently lost
  • B Data is automatically retried
  • C Job must be restarted manually
  • D Job fails silently without logs
Explanation Dataflow has built-in retry logic for failed jobs, ensuring that data processing can continue, while others imply data loss or lack of automation.
Q274

Which service is ideal for real-time data processing?

  • A Cloud Functions
  • B Cloud Storage
  • C Pub/Sub
  • D BigQuery
Explanation Pub/Sub is designed for real-time messaging, while the others serve different purposes.
Q275

A company needs to analyze petabyte-scale datasets efficiently. What should they use?

  • A Cloud SQL
  • B BigQuery
  • C Spanner
  • D Cloud Firestore
Explanation BigQuery is designed for analytics on large datasets, unlike the others that serve transactional needs.
Q276

What happens when you configure a Cloud Function with a memory limit of 256MB?

  • A Increased execution time
  • B Higher cost regardless of usage
  • C More cold starts
  • D Limited performance for heavy processing
Explanation Lower memory limits can hinder performance, affecting processing speed.
Q277

A company needs to monitor the performance of its BigQuery datasets and jobs. Which service should they use?

  • A Stackdriver Monitoring
  • B Cloud Pub/Sub
  • C Cloud Functions
  • D Cloud Run
Explanation Stackdriver Monitoring provides insights into BigQuery performance, while the other options serve different purposes.
Q278

You are configuring a Dataflow pipeline that processes streaming data. What happens if one of the transient errors occurs?

  • A Pipeline stops processing data.
  • B Data is dropped entirely.
  • C Pipeline retries processing afterward.
  • D Errors become irrecoverable immediately.
Explanation Dataflow handles transient errors by retrying, unlike the other options which do not correctly describe the behavior.
Q279

Which Google Cloud service allows for serverless container orchestration?

  • A Google Kubernetes Engine
  • B Cloud Functions
  • C Cloud Run
  • D App Engine Standard
Explanation Cloud Run is specifically designed for serverless container orchestration, while the others do not focus on this feature.
Q280

Which Google Cloud service helps with scalable ML model training?

  • A AI Platform
  • B BigQuery
  • C Cloud Functions
  • D Cloud Run
Explanation AI Platform is specifically designed for ML model training, unlike others which serve different purposes.