Exam Name: Databricks Certified Professional Data Engineer Exam
Certification Provider: Databricks
Corresponding Certification: Databricks Certification
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Databricks Databricks-Certified-Professional-Data-Engineer Exam Syllabus Topics:
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Reference: https://www.databricks.com/learn/certification/data-engineer-professional
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Databricks Certified Professional Data Engineer Sample Questions:
A data engineer is performing a join operating to combine values from a static userlookup table with a streaming DataFrame streamingDF.
Which code block attempts to perform an invalid stream-static join?
- A. streamingDF.join(userLookup, [ " user_id " ], how= " outer " )
- B. userLookup.join(streamingDF, [ " userid " ], how= " inner " )
- C. streamingDF.join(userLookup, [ " user_id"], how= " left " )
- D. streamingDF.join(userLookup, [ " userid " ], how= " inner " )
- E. userLookup.join(streamingDF, [ " user_id " ], how= " right " )
Correct Answer: E 🗳️
Explanation: Only visible for 2Pass4sure members. You can sign-up / login (it's free).
A data engineer is developing a Lakeflow Declarative Pipeline (LDP) using a Databricks notebook directly connected to their pipeline. After adding new table definitions and transformation logic in their notebook, they want to check for any syntax errors in the pipeline code without actually processing data or running the pipeline.
How should the data engineer perform this syntax check?
- A. Disconnect the notebook from the pipeline and reconnect it to a compute cluster to access code validation features.
- B. Use the "Validate" option in the notebook to check for syntax errors.
- C. Open the web terminal from the notebook and run a shell command to validate the pipeline code.
- D. Switch to a workspace file instead of a notebook to access validation and diagnostics tools.
Correct Answer: B 🗳️
Explanation: Only visible for 2Pass4sure members. You can sign-up / login (it's free).
A table named user_ltv is being used to create a view that will be used by data analysts on various teams.
Users in the workspace are configured into groups, which are used for setting up data access using ACLs.
The user_ltv table has the following schema:
email STRING, age INT, ltv INT
The following view definition is executed:
An analyst who is not a member of the marketing group executes the following query:
SELECT * FROM email_ltv
Which statement describes the results returned by this query?
- A. The email, age. and ltv columns will be returned with the values in user ltv.
- B. Three columns will be returned, but one column will be named " redacted " and contain only null values.
- C. Only the email and itv columns will be returned; the email column will contain all null values.
- D. Only the email and ltv columns will be returned; the email column will contain the string " REDACTED " in each row.
- E. The email and ltv columns will be returned with the values in user itv.
Correct Answer: D 🗳️
Explanation: Only visible for 2Pass4sure members. You can sign-up / login (it's free).
A platform team lead is responsible for automating SQL Warehouse usage attribution across business units.
They need to identify warehouse usage at the individual user level and share a daily usage report with an executive team that includes business leaders from multiple departments.
How should the platform lead generate an automated report that can be shared daily?
- A. Restrict users from running SQL queries unless they provide query details for attribution tracking.
- B. Use system tables to capture audit and billing usage data and share the queries with the executive team for manual execution.
- C. Let users run queries normally and have individual teams manually report usage to the executive team.
- D. Use system tables to capture audit and billing usage data and create a dashboard with a daily refresh schedule shared with the executive team.
Correct Answer: D 🗳️
Explanation: Only visible for 2Pass4sure members. You can sign-up / login (it's free).
Where in the Spark UI can one diagnose a performance problem induced by not leveraging predicate push- down?
- A. In the Executor ' s log file, by gripping for " predicate push-down "
- B. In the Stage ' s Detail screen, in the Completed Stages table, by noting the size of data read from the Input column
- C. In the Storage Detail screen, by noting which RDDs are not stored on disk
- D. In the Query Detail screen, by interpreting the Physical Plan
- E. In the Delta Lake transaction log. by noting the column statistics
Correct Answer: D 🗳️
Explanation: Only visible for 2Pass4sure members. You can sign-up / login (it's free).
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