DATABRICKS DATABRICKS-CERTIFIED-DATA-ENGINEER-ASSOCIATE PRACTICE TEST - DATABRICKS-CERTIFIED-DATA-ENGINEER-ASSOCIATE LATEST BRAINDUMPS

Databricks Databricks-Certified-Data-Engineer-Associate Practice Test - Databricks-Certified-Data-Engineer-Associate Latest Braindumps

Databricks Databricks-Certified-Data-Engineer-Associate Practice Test - Databricks-Certified-Data-Engineer-Associate Latest Braindumps

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Databricks Certified Data Engineer Associate Exam Sample Questions (Q84-Q89):

NEW QUESTION # 84
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 VACUUM command was run on the table
  • D. The TIME TRAVEL command was run on the table
  • E. The DELETE HISTORY command was run on the table

Answer: E


NEW QUESTION # 85
A data engineer needs to use a Delta table as part of a data pipeline, but they do not know if they have the appropriate permissions.
In which of the following locations can the data engineer review their permissions on the table?

  • A. Jobs
  • B. Dashboards
  • C. Data Explorer
  • D. Repos
  • E. Databricks Filesystem

Answer: C

Explanation:
Data Explorer is a graphical interface that allows you to browse, create, and manage data objects such as databases, tables, and views in your workspace. You can also review and modify the permissions on these data objects using Data Explorer. To access Data Explorer, you can click on the Data icon in the sidebar, or use the %sql magic command in a notebook. You can then select a database and a table, and click on the Permissions tab to view and edit the access control lists (ACLs) for the table. You can also use SQL commands such as SHOW GRANT and GRANT to query and modify the permissions on a Delta table. Reference:
Data Explorer
Access control for Delta tables
SHOW GRANT
[GRANT]


NEW QUESTION # 86
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: E

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


NEW QUESTION # 87
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 be able to collaborate on projects in real-time
  • B. Both teams would respond more quickly to ad-hoc requests
  • C. Both teams would use the same source of truth for their work
  • D. Both teams would autoscale their work as data size evolves
  • E. Both teams would reorganize to report to the same department

Answer: C


NEW QUESTION # 88
An engineering manager uses a Databricks SQL query to monitor ingestion latency for each data source. The manager checks the results of the query every day, but they are manually rerunning the query each day and waiting for the results.
Which of the following approaches can the manager use to ensure the results of the query are updated each day?

  • A. They can schedule the query to refresh every 12 hours from the SQL endpoint's page in Databricks SQL.
  • B. They can schedule the query to run every 1 day from the Jobs UI.
  • C. They can schedule the query to run every 12 hours from the Jobs UI.
  • D. They can schedule the query to refresh every 1 day from the query's page in Databricks SQL.
  • E. They can schedule the query to refresh every 1 day from the SQL endpoint's page in Databricks SQL.

Answer: D

Explanation:
Databricks SQL allows users to schedule queries to run automatically at a specified frequency and time zone.
This can help users to keep their dashboards or alerts updated with the latest data. To schedule a query, users need to do the following steps:
* In the Query Editor, click Schedule > Add schedule to open a menu with schedule settings.
* Choose when to run the query. Use the dropdown pickers to specify the frequency, period, starting time, and time zone. Optionally, select the Show cron syntax checkbox to edit the schedule in Quartz Cron Syntax.
* Choose More options to show optional settings. Users can also choose a name for the schedule, and a SQL warehouse to power the query.
* Click Create. The query will run automatically according to the schedule.
The other options are incorrect because they do not refer to the correct location or frequency to schedule the query. The query's page in Databricks SQL is the place where users can edit, run, or schedule the query. The SQL endpoint's page in Databricks SQL is the place where users can manage the SQL warehouses and SQL endpoints. The Jobs UI is the place where users can create, run, or schedule jobs that execute notebooks, JARs, or Python scripts. References: Schedule a query, What are Databricks SQL alerts?, Jobs.


NEW QUESTION # 89
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