DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-ENGINEER LATEST TEST LABS - DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-ENGINEER EXAM REGISTRATION

Databricks-Certified-Professional-Data-Engineer Latest Test Labs - Databricks-Certified-Professional-Data-Engineer Exam Registration

Databricks-Certified-Professional-Data-Engineer Latest Test Labs - Databricks-Certified-Professional-Data-Engineer Exam Registration

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Databricks Certified Professional Data Engineer Exam Sample Questions (Q108-Q113):

NEW QUESTION # 108
Which of the following data workloads will utilize a gold table as its source?

  • A. A job that ingests raw data from a streaming source into the Lakehouse
  • B. A job that enriches data by parsing its timestamps into a human-readable format
  • C. A job that cleans data by removing malformatted records
  • D. A job that queries aggregated data that already feeds into a dashboard
  • E. A job that aggregates cleaned data to create standard summary statistics

Answer: D

Explanation:
Explanation
The answer is, A job that queries aggregated data that already feeds into a dashboard The gold layer is used to store aggregated data, which are typically used for dashboards and reporting.
Review the below link for more info,
Medallion Architecture - Databricks
Gold Layer:
1. Powers Ml applications, reporting, dashboards, ad hoc analytics
2. Refined views of data, typically with aggregations
3. Reduces strain on production systems
4. Optimizes query performance for business-critical data
Exam focus: Please review the below image and understand the role of each layer(bronze, silver, gold) in medallion architecture, you will see varying questions targeting each layer and its purpose.
Sorry I had to add the watermark some people in Udemy are copying my content.
Purpose of each layer in medallion architecture


NEW QUESTION # 109
Which one of the following is not a Databricks lakehouse object?

  • A. Functions
  • B. Stored Procedures
  • C. Tables
  • D. Views
  • E. Database/Schemas
  • F. Catalog

Answer: B

Explanation:
Explanation
The answer is, Stored Procedures.
Databricks lakehouse does not support stored procedures.


NEW QUESTION # 110
Which of the following SQL statement can be used to query a table by eliminating duplicate rows from the query results?

  • A. SELECT DISTINCT_ROWS (*) FROM table_name
  • B. SELECT DISTINCT * FROM table_name HAVING COUNT(*) > 1
  • C. SELECT DISTINCT * FROM table_name
  • D. SELECT * FROM table_name GROUP BY * HAVING COUNT(*) > 1
  • E. SELECT * FROM table_name GROUP BY * HAVING COUNT(*) < 1

Answer: C

Explanation:
Explanation
The answer is SELECT DISTINCT * FROM table_name


NEW QUESTION # 111
Which of the following describes how Databricks Repos can help facilitate CI/CD workflows on the Databricks Lakehouse Platform?

  • A. Databricks Repos can store the single-source-of-truth Git repository
  • B. Databricks Repos can be used to design, develop, and trigger Git automation pipelines
  • C. Databricks Repos can facilitate the pull request, review, and approval process before merging branches
  • D. Databricks Repos can merge changes from a secondary Git branch into a main Git branch
  • E. Databricks Repos can commit or push code changes to trigger a CI/CD process

Answer: E

Explanation:
Explanation
Answer is Databricks Repos can commit or push code changes to trigger a CI/CD process See below diagram to understand the role Databricks Repos and Git provider plays when building a CI/CD workdlow.
All the steps highlighted in yellow can be done Databricks Repo, all the steps highlighted in Gray are done in a git provider like Github or Azure Devops.
Diagram Description automatically generated


NEW QUESTION # 112
The data governance team is reviewing code used for deleting records for compliance with GDPR. They note the following logic is used to delete records from the Delta Lake table namedusers.

Assuming thatuser_idis a unique identifying key and thatdelete_requestscontains all users that have requested deletion, which statement describes whether successfully executing the above logic guarantees that the records to be deleted are no longer accessible and why?

  • A. Yes; the Delta cache immediately updates to reflect the latest data files recorded to disk.
  • B. No; files containing deleted records may still be accessible with time travel until a vacuum command is used to remove invalidated data files.
  • C. Yes; Delta Lake ACID guarantees provide assurance that the delete command succeeded fully and permanently purged these records.
  • D. No; the Delta cache may return records from previous versions of the table until the cluster is restarted.
  • E. No; the Delta Lake delete command only provides ACID guarantees when combined with the merge into command.

Answer: B

Explanation:
Explanation
The code uses the DELETE FROM command to delete records from the users table that match a condition based on a join with another table called delete_requests, which contains all users that have requested deletion.
The DELETE FROM command deletes records from a Delta Lake table by creating a new version of the table that does not contain the deleted records. However, this does not guarantee that the records to be deleted are no longer accessible, because Delta Lake supports time travel, which allows querying previous versions of the table using a timestamp or version number. Therefore, files containing deleted records may still be accessible with time travel until a vacuum command is used to remove invalidated data files from physical storage.
Verified References: [Databricks Certified Data Engineer Professional], under "Delta Lake" section; Databricks Documentation, under "Delete from a table" section; Databricks Documentation, under "Remove files no longer referenced by a Delta table" section.


NEW QUESTION # 113
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