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Databricks Certified Data Engineer Associate certification is designed for data engineers who work with Databricks and want to validate their skills and knowledge. Databricks Certified Data Engineer Associate Exam certification covers various topics related to data engineering, including data modeling, data processing, data analysis, and data visualization using Databricks. Databricks Certified Data Engineer Associate Exam certification is ideal for data engineers who want to advance their careers in data engineering and work with big data processing and analytics using Databricks.

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Passing the Databricks Certified Data Engineer Associate Exam demonstrates that the candidate has the skills and knowledge necessary to design, build, and maintain data pipelines and data warehouses using Databricks. It is an important certification for data engineers who want to advance their careers and demonstrate their expertise in using Databricks to solve complex data engineering problems. With the explosive growth of data in today's business environment, the demand for skilled data engineers is higher than ever, and the Databricks Certified Data Engineer Associate Exam is an excellent way to stand out in a crowded job market.

Databricks Certified Data Engineer Associate Exam Sample Questions (Q34-Q39):

NEW QUESTION # 34
A data engineer needs to audit who made changes to a Delta table in the last 7 days. Which SQL statement returns the record of past operations, including timestamps, users, and operation types?

Answer: A

Explanation:
DESCRIBE HISTORY my_table returns the Delta table's operation history, including timestamps, operation types, and user information. The results can then be filtered to the last seven days.


NEW QUESTION # 35
A departing platform owner currently holds ownership of multiple catalogs and controls storage credentials and external locations. The data engineer wants to ensure continuity: transfer catalog ownership to the platform team group, delegate ongoing privilege management, and retain the ability to receive and share data via Delta Sharing.
Which role must be in place to perform these actions across the metastore?

Answer: A


NEW QUESTION # 36
What is the maximum output supported by a job cluster to ensure a notebook does not fail?

Answer: B

Explanation:
The maximum output supported by a job cluster in Databricks is 10MB. If the output exceeds this limit, the notebook may fail.


NEW QUESTION # 37
A data engineer is working with two tables. Each of these tables is displayed below in its entirety.
The data engineer runs the following query to join these tables together:
Which of the following will be returned by the above query?

Answer: B

Explanation:
Option A is the correct answer because it shows the result of an INNER JOIN between the two tables. An INNER JOIN returns only the rows that have matching values in both tables based on the join condition. In this case, the join condition is ON a.customer_id = c.customer_id, which means that only the rows that have the same customer ID in both tables will be included in the output. The output will have four columns: customer_id, name, account_id, and overdraft_amt. The output will have four rows, corresponding to the four customers who have accounts in the account table.


NEW QUESTION # 38
A data engineer has developed a data pipeline to ingest data from a JSON source using Auto Loader, but the engineer has not provided any type inference or schema hints in their pipeline.
Upon reviewing the data, the data engineer has noticed that all of the columns in the target table are of the string type despite some of the fields only including float or boolean values.
Which of the following describes why Auto Loader inferred all of the columns to be of the string type?

Answer: E


NEW QUESTION # 39
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