BOOK DATABRICKS-CERTIFIED-DATA-ENGINEER-ASSOCIATE FREE, RELIABLE DATABRICKS-CERTIFIED-DATA-ENGINEER-ASSOCIATE EXAM ANSWERS

Book Databricks-Certified-Data-Engineer-Associate Free, Reliable Databricks-Certified-Data-Engineer-Associate Exam Answers

Book Databricks-Certified-Data-Engineer-Associate Free, Reliable Databricks-Certified-Data-Engineer-Associate Exam Answers

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Databricks-Certified-Data-Engineer-Associate certification is highly regarded in the industry and is recognized by many organizations as a mark of excellence in data engineering. Databricks Certified Data Engineer Associate Exam certification can help data engineers to advance their careers and increase their earning potential. It can also help employers to identify skilled and knowledgeable data engineers who can help them to unlock the value of their data.

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Databricks Certified Data Engineer Associate Exam Sample Questions (Q33-Q38):

NEW QUESTION # 33
A data engineer needs to apply custom logic to string column city in table stores for a specific use case. In order to apply this custom logic at scale, the data engineer wants to create a SQL user-defined function (UDF).
Which of the following code blocks creates this SQL UDF?

  • A.
  • B.
  • C.
  • D.
  • E.

Answer: C

Explanation:
Explanation
https://www.databricks.com/blog/2021/10/20/introducing-sql-user-defined-functions.html


NEW QUESTION # 34
A data engineer has three tables in a Delta Live Tables (DLT) pipeline. They have configured the pipeline to drop invalid records at each table. They notice that some data is being dropped due to quality concerns at some point in the DLT pipeline. They would like to determine at which table in their pipeline the data is being dropped.
Which of the following approaches can the data engineer take to identify the table that is dropping the records?

  • A. They can set up DLT to notify them via email when records are dropped.
  • B. They can set up separate expectations for each table when developing their DLT pipeline.
  • C. They can navigate to the DLT pipeline page, click on the "Error" button, and review the present errors.
  • D. They cannot determine which table is dropping the records.
  • E. They can navigate to the DLT pipeline page, click on each table, and view the data quality statistics.

Answer: C


NEW QUESTION # 35
Identify a scenario to use an external table.
A Data Engineer needs to create a parquet bronze table and wants to ensure that it gets stored in a specific path in an external location.
Which table can be created in this scenario?

  • A. An external table where the schema has managed location pointing to specific path in external location.
  • B. A managed table where the location is pointing to specific path in external location.
  • C. An external table where the location is pointing to specific path in external location.
  • D. A managed table where the catalog has managed location pointing to specific path in external location.

Answer: C


NEW QUESTION # 36
A data engineer has left the organization. The data team needs to transfer ownership of the data engineer's Delta tables to a new data engineer. The new data engineer is the lead engineer on the data team.
Assuming the original data engineer no longer has access, which of the following individuals must be the one to transfer ownership of the Delta tables in Data Explorer?

  • A. This transfer is not possible
  • B. Original data engineer
  • C. Workspace administrator
  • D. Databricks account representative
  • E. New lead data engineer

Answer: C

Explanation:
Explanation
https://docs.databricks.com/sql/admin/transfer-ownership.html


NEW QUESTION # 37
Which of the following Git operations must be performed outside of Databricks Repos?

  • A. Commit
  • B. Merge
  • C. Pull
  • D. Clone
  • E. Push

Answer: B

Explanation:
Databricks Repos is a visual Git client and API in Databricks that supports common Git operations such as commit, pull, push, branch management, and visual comparison of diffs when committing1. However, merge is not supported in the Git dialog2. You need to use the Repos UI or your Git provider to merge branches3. Merge is a way to combine the commit history from one branch into another branch1. During a merge, a merge conflict is encountered when Git cannot automatically combine code from one branch into another. Merge conflicts require manual resolution before a merge can be completed1. References: 4: Run Git operations on Databricks Repos4, 1: CI/CD techniques with Git and Databricks Repos1, 3: Collaborate in Repos3, 2: Databricks Repos - What it is and how we can use it2.
Databricks Repos is a visual Git client and API in Databricks that supports common Git operations such as commit, pull, push, merge, and branch management. However, to clone a remote Git repository to a Databricks repo, you must use the Databricks UI or API. You cannot clone a Git repo using the CLI through a cluster's web terminal, as the files won't display in the Databricks UI1. References: 1: Run Git operations on Databricks Repos | Databricks on AWS2


NEW QUESTION # 38
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