Reliable Latest Databricks-Certified-Data-Engineer-Associate Exam Question for Real Exam

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The GAQM Databricks-Certified-Data-Engineer-Associate (Databricks Certified Data Engineer Associate) certification exam is an excellent opportunity for data professionals to validate their skills in designing, building, and maintaining data pipelines using Databricks. The certification exam covers a wide range of topics and is designed to test the candidate's knowledge of data engineering fundamentals, Databricks architecture, data modeling, and data processing. Passing the certification exam provides an individual with a globally recognized certification that can enhance their career prospects in the data engineering field.

The Databricks-Certified-Data-Engineer-Associate Exam tests the candidates' abilities to perform the necessary tasks needed to become a successful data engineer. The exam covers a wide range of topics such as data extraction, transformation, and loading (ETL), data modeling, data warehousing, and machine learning. Individuals who have passed this exam possess the professional knowledge necessary to integrate, manipulate, secure, and monitor data within Databricks.

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GAQM Databricks Certified Data Engineer Associate Exam Sample Questions (Q18-Q23):

NEW QUESTION # 18
A data organization leader is upset about the data analysis team's reports being different from the data engineering team's reports. The leader believes the siloed nature of their organization's data engineering and data analysis architectures is to blame.
Which of the following describes how a data lakehouse could alleviate this issue?

A. Both teams would use the same source of truth for their work
B. Both teams would respond more quickly to ad-hoc requests
C. Both teams would be able to collaborate on projects in real-time
D. Both teams would autoscale their work as data size evolves
E. Both teams would reorganize to report to the same department

Answer: A

NEW QUESTION # 19
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?

Answer: A

NEW QUESTION # 20
Which of the following data lakehouse features results in improved data quality over a traditional data lake?

A. A data lakehouse allows the use of SQL queries to examine data.
B. A data lakehouse provides storage solutions for structured and unstructured data.
C. A data lakehouse supports ACID-compliant transactions.
D. A data lakehouse stores data in open formats.
E. A data lakehouse enables machine learning and artificial Intelligence workloads.

Answer: A

NEW QUESTION # 21
An engineering manager wants to monitor the performance of a recent project using a Databricks SQL query.
For the first week following the project's release, the managerwants the query results to be updated every minute. However, the manager is concerned that the compute resources used for the query will be left running and cost the organization a lot of money beyond the first week of the project's release.
Which of the following approaches can the engineering team use to ensure the query does not cost the organization any money beyond the first week of the project's release?

A. They can set the query's refresh schedule to end on a certain date in the query scheduler.
B. They can set a limit to the number of individuals that are able to manage the query's refresh schedule.
C. They can set the query's refresh schedule to end after a certain number of refreshes.
D. They can set a limit to the number of DBUs that are consumed by the SQL Endpoint.
E. They cannot ensure the query does not cost the organization money beyond the first week of the project's release.

Answer: A

NEW QUESTION # 22
A data engineer has realized that they made a mistake when making a daily update to a table. They need to use Delta time travel to restore the table to a version that is 3 days old. However, when the data engineer attempts to time travel to the older version, they are unable to restore the data because the data files have been deleted.
Which of the following explains why the data files are no longer present?

A. The HISTORY command was run on the table
B. The OPTIMIZE command was nun on the table
C. The DELETE HISTORY command was run on the table
D. The VACUUM command was run on the table
E. The TIME TRAVEL command was run on the table

Answer: C

NEW QUESTION # 23
......

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GAQM Databricks Certified Data Engineer Associate Exam Sample Questions (Q18-Q23):

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