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Reference: https://www.databricks.com/learn/certification/data-engineer-associate
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Databricks Certified Data Engineer Associate Sample Questions:
In which of the following scenarios should a data engineer select a Task in the Depends On field of a new Databricks Job Task?
- A. When another task needs to be replaced by the new task
- B. When another task needs to successfully complete before the new task begins
- C. When another task needs to fail before the new task begins
- D. When another task needs to use as little compute resources as possible
- E. When another task has the same dependency libraries as the new task
Correct Answer: B π³οΈ
An analyst reports that a dashboard showed incorrect numbers before a data correction was applied at 09:00 today. The engineer needs to query the table exactly as it existed at version 118.
Which statement returns that data?
- A. SELECT * FROM sales VERSION AS OF 118
- B. RESTORE TABLE sales TO VERSION AS OF 118
- C. SELECT * FROM sales WHERE _commit_version = 118
- D. DESCRIBE HISTORY sales LIMIT 118
Correct Answer: A π³οΈ
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).
A data provider must share a live Delta table with an external partner who uses an open-source Spark environment outside Databricks, without copying the data.
Which feature should be used?
- A. A materialized view exported as Parquet and delivered by SFTP
- B. A Unity Catalog external location with a storage credential granted to the partner
- C. A deep clone written to a partner-owned S3 bucket nightly
- D. Delta Sharing with a recipient and share
Correct Answer: D π³οΈ
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).
A developer has configured Databricks Connect and starts running PySpark code locally. They notice that Data Frame operations are executed on the remote cluster, but actions like .show() return results directly in their local console. What does this behaviour illustrate about how Databricks Connect is used?
- A. It mirrors the entire cluster environment on the developer's machine
- B. It requires manual synchronization of results from the cluster
- C. It runs all Spark compute locally and only reads remote files
- D. It proxies Spark commands from the local client to the remote cluster
Correct Answer: D π³οΈ
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).
A governance team is evaluating whether to use Unity Catalog attribute-based access control (ABAC) policies or manually applied row filters and column masks to protect sensitive data across their catalog. Why should the team use ABAC policies instead of manually applied row filters and column masks?
- A. ABAC policies use governed tags to dynamically match tables and columns, so a single policy defined on a catalog automatically applies to all current and future tables within that catalog without per-table configuration.
- B. ABAC policies can be applied to views and materialized views in addition to tables, whereas manually applied row filters and column masks can only be applied to tables.
- C. ABAC policies allow row filters and column masks to be written in Python and Scala directly, whereas manually applied filters and masks can only use SQL user-defined functions.
- D. ABAC policies support applying multiple distinct row filters to the same table for a single user at query time, whereas manually applied row filters are limited to one filter per table.
Correct Answer: A π³οΈ
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