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Free Databricks Databricks-Certified-Professional-Data-Engineer Exam Questions

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

  • Databricks Databricks-Certified-Professional-Data-Engineer Exam Questions
  • Provided By: Databricks
  • Exam: Databricks Certified Professional Data Engineer
  • Certification: Databricks Certified Professional
  • Total Questions: 247
  • Updated On: May 11, 2025
  • Rated: 4.9 |
  • Online Users: 494
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  • Question 1

    • A distributed team of data analysts share computing resources on an interactive cluster with autoscaling configured. In order to better manage costs and query throughput, the workspace administrator is hoping to evaluate whether cluster upscaling is caused by many concurrent users or resource-intensive queries. In which location can one review the timeline for cluster resizing events?


      Answer: D
  • Question 2
    • A data engineer, User A, has promoted a pipeline to production by using the REST API to programmatically create several jobs. A DevOps engineer, User B, has configured an external orchestration tool to trigger job runs through the REST API. Both users authorized the REST API calls using their personal access tokens.

      A workspace admin, User C, inherits responsibility for managing this pipeline. User C uses the Databricks Jobs UI to take "Owner" privileges of each job. Jobs continue to be triggered using the credentials and tooling configured by User B.

      An application has been configured to collect and parse run information returned by the REST API. Which statement describes the value returned in the creator_user_name field?


      Answer: C
  • Question 3

    • A Databricks job has been configured with 3 tasks, each of which is a Databricks notebook. Task A does not depend on other tasks. Tasks B and C run in parallel, with each having a serial dependency on Task A. If task A fails during a scheduled run, which statement describes the results of this run? 


      Answer: D
  • Question 4
    • The DevOps team has configured a production workload as a collection of notebooks scheduled to run daily using the Jobs UI. A new data engineering hire is onboarding to the team and has requested access to one of these notebooks to review the production logic. What are the maximum notebook permissions that can be granted to the user without allowing accidental changes to production code or data? 

      Answer: D
  • Question 5
    • A junior data engineer seeks to leverage Delta Lake's Change Data Feed functionality to create a Type 1 table representing all of the values that have ever been valid for all rows in a bronze table created with the property delta.enableChangeDataFeed = true. They plan to execute the following code as a daily job:
      Databricks-Certified-Professional-Data-Engineer-page61-image24
      Which statement describes the execution and results of running the above query multiple times?

      Answer: B
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