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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: Sep 23, 2026
  • Rated: 4.9 |
  • Online Users: 944
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  • Question 1
    • You are creating a new pipeline in Google Cloud to stream IoT data from Cloud Pub/Sub through Cloud Dataflow to BigQuery. While previewing the data, you notice that roughly 2% of the data appears to be corrupt. You need to modify the Cloud Dataflow pipeline to filter out this corrupt data. What should you do?

      Answer: B
  • Question 2
    • You need to migrate a 2TB relational database to Google Cloud Platform. You do not have the resources to
      significantly refactor the application that uses this database and cost to operate is of primary concern.
      Which service do you select for storing and serving your data?

      Answer: D
  • Question 3
    • You have a BigQuery table that ingests data directly from a Pub/Sub subscription. The ingested data is

      encrypted with a Google-managed encryption key. You need to meet a new organization policy that requires

      you to use keys from a centralized Cloud Key Management Service (Cloud KMS) project to encrypt data at

      rest. What should you do?


      Answer: A
  • Question 4
    • You are migrating a table to BigQuery and are deeding on the data model. Your table stores information related to purchases made across several store locations and includes information like the time of the transaction, items purchased, the store ID and the city and state in which the store is located You frequently query this table to see how many of each item were sold over the past 30 days and to look at purchasing trends by state city and individual store. You want to model this table to minimize query time and cost. What should you do?

      Answer: C
  • Question 5

    • Your company's customer_order table in BigOuery stores the order history for 10 million customers, with a

      table size of 10 PB. You need to create a dashboard for the support team to view the order history. The

      dashboard has two filters, countryname and username. Both are string data types in the BigQuery table. When

      a filter is applied, the dashboard fetches the order history from the table and displays the query results.

      However, the dashboard is slow to show the results when applying the filters to the following query:




      How should you redesign the BigQuery table to support faster access?

      Answer: C
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