Free Google Professional-Data-Engineer Exam Questions

Absolute Free Professional-Data-Engineer Exam Practice for Comprehensive Preparation 

  • Google Professional-Data-Engineer Exam Questions
  • Provided By: Google
  • Exam: Cloud Certified Professional Data Engineer
  • Certification: Google Cloud Certified
  • Total Questions: 472
  • Updated On: May 24, 2026
  • Rated: 4.9 |
  • Online Users: 944
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  • Question 1
    • Your startup has never implemented a formal security policy. Currently, everyone in the company has access to the datasets stored in Google BigQuery. Teams have freedom to use the service as they see fit, and they have not documented their use cases. You have been asked to secure the data warehouse. You need to discover what everyone is doing. What should you do first?

      Answer: A
  • Question 2
    • You stream order data by using a Dataflow pipeline, and write the aggregated result to Memorystore. You

      provisioned a Memorystore for Redis instance with Basic Tier. 4 GB capacity, which is used by 40 clients for

      read-only access. You are expecting the number of read-only clients to increase significantly to a few hundred

      and you need to be able to support the demand. You want to ensure that read and write access availability is

      not impacted, and any changes you make can be deployed quickly. What should you do?


      Answer: D
  • Question 3
    • If you're running a performance test that depends upon Cloud Bigtable, all the choices except one below are recommended steps. Which is NOT a recommended step to follow?

      Answer: A
  • Question 4
    • You have Cloud Functions written in Node.js that pull messages from Cloud Pub/Sub and send the data to BigQuery. You observe that the message processing rate on the Pub/Sub topic is orders of magnitude higher than anticipated, but there is no error logged in Stackdriver Log Viewer. What are the two most likely causes of this problem? Choose 2 answers.

      Answer: C,D
  • Question 5
    • You have a data pipeline that writes data to Cloud Bigtable using well-designed row keys. You want to monitor your pipeline to determine when to increase the size of you Cloud Bigtable cluster. Which two actions can you take to accomplish this? Choose 2 answers. 

      Answer: A,C
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