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Databricks Certified Data Engineer Associate certification demonstrates that you have the skills and knowledge required to build and manage big data processing systems using Databricks. Databricks Certified Data Engineer Associate Exam certification is ideal for data engineers, data architects, and developers who work with big data workloads. It validates your ability to design, build, and maintain scalable and reliable data processing pipelines using Databricks.

The GAQM Databricks-Certified-Data-Engineer-Associate (Databricks Certified Data Engineer Associate) certification exam is a highly esteemed certification for data professionals. Databricks-Certified-Data-Engineer-Associate exam measures an individual's competence in designing, building, and maintaining data pipelines using Databricks. Databricks Certified Data Engineer Associate Exam certification covers a wide range of topics, including data engineering fundamentals, Databricks architecture, data modeling, and data processing.

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Databricks Certified Data Engineer Associate Exam Sample Questions (Q146-Q151):

NEW QUESTION # 146
A data engineer is running code in a Databricks Repo that is cloned from a central Git repository. A colleague of the data engineer informs them that changes have been made and synced to the central Git repository. The data engineer now needs to sync their Databricks Repo to get the changes from the central Git repository.
Which of the following Git operations does the data engineer need to run to accomplish this task?

Answer: D

Explanation:
To sync a Databricks Repo with the changes from a central Git repository, the data engineer needs to run the Git pull operation. This operation fetches the latest updates from the remote repository and merges them with the local repository. The data engineer can use the Pull button in the Databricks Repos UI, or use the git pull command in a terminal session. The other options are not relevant for this task, as they either push changes to the remote repository (Push), combine two branches (Merge), save changes to the local repository (Commit), or create a new local repository from a remote one (Clone). References:
* Run Git operations on Databricks Repos
* Git pull


NEW QUESTION # 147
A data engineer is inspecting an ETL pipeline based on a Pyspark job that consistently encounters performance bottlenecks. Based on developer feedback, the data engineer assumes the job is low on compute resources. To pinpoint the issue, the data engineer observes the Spark Ul and finds out the job has a high CPU time vs Task time.
Which course of action should the data engineer take?

Answer: A


NEW QUESTION # 148
A data engineer wants to create a new table containing the names of customers that live in France.
They have written the following command:

A senior data engineer mentions that it is organization policy to include a table property indicating that the new table includes personally identifiable information (PII).
Which of the following lines of code fills in the above blank to successfully complete the task?

Answer: C

Explanation:
In Databricks, when creating a table, you can add a comment to columns or the entire table to provide more information about the data it contains. In this case, since it's organization policy to indicate that the new table includes personally identifiable information (PII), option D is correct. The line of code would be added after defining the table structure and before closing with a semicolon. References: Data Engineer Associate Exam Guide, CREATE TABLE USING (Databricks SQL)


NEW QUESTION # 149
A data engineer needs to create a table in Databricks using data from a CSV file at location /path/to/csv.
They run the following command:

Which of the following lines of code fills in the above blank to successfully complete the task?

Answer: D


NEW QUESTION # 150
Which method should a Data Engineer apply to ensure Workflows are being triggered on schedule?

Answer: D


NEW QUESTION # 151
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