Which of the following is a direct benefit of Delta Lake's transaction log?

It automatically compresses all data files to reduce storage costs

It guarantees that all queries will return results in under one second

It allows querying the table as it existed at a previous point in time

It eliminates the need for any data governance or access control

A data analyst is troubleshooting a discrepancy in a Delta table and needs to understand how the table has evolved over time. The analyst wants to see a chronological list of all operations, including who performed them and what changes were made. What should the analyst use?

SELECT * FROM table_name VERSION AS OF 0

A data analyst needs to verify that a new ETL job correctly updated the `inventory` Delta table. The job was supposed to increase the quantity of all items by 10%. The analyst has access to the table at version 8 (before the job) and version 9 (after the job). Which query will confirm that the update was applied correctly?

SELECT a.item_id, a.quantity AS old_qty, b.quantity AS new_qty FROM inventory VERSION AS OF 8 a JOIN inventory VERSION AS OF 9 b ON a.item_id = b.item_id WHERE b.quantity != a.quantity * 1.1

SELECT COUNT(*) FROM inventory VERSION AS OF 9

SELECT * FROM inventory VERSION AS OF 8 EXCEPT SELECT * FROM inventory VERSION AS OF 9

What is a practical way to validate that a recent update to a Delta table produced the expected changes?

Run the query again and assume it is correct if no error occurs

Check the transaction log for the number of files added

Use DESCRIBE HISTORY to see the exact row values changed

Query the table before and after the update and compare the results

How can you query a Delta table as it existed at a specific point in time?

Using the DATE AS OF clause with a date

Using the TIME AS OF clause with a time

Using the SNAPSHOT AT clause with a timestamp

Using the TIMESTAMP AS OF clause with a date or timestamp

DatabricksCertified Data Analyst Associate

Domain 5Objective 3

Utilize Delta Lake to Audit and View History, Validate Results, and Compare Historical Results or Trends. DATA-ANALYST-ASSOCIATE Practice Questions (Page 1)

Part of the Section 5: Analyzing Queries domain, which makes up ~17% of our current practice bank. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~6–10 in this domain), expect 1–2 from this objective — we provide 21 practice questions to prepare you well beyond it. (estimate)

21questions here

5free pages

7concepts

Questions 1–5

1foundation · easy
Which of the following is a direct benefit of Delta Lake's transaction log?
Select an answer first
2application · medium
A data analyst is troubleshooting a discrepancy in a Delta table and needs to understand how the table has evolved over time. The analyst wants to see a chronological list of all operations, including who performed them and what changes were made. What should the analyst use?
Select an answer first
3expert · hard
A data analyst needs to verify that a new ETL job correctly updated the `inventory` Delta table. The job was supposed to increase the quantity of all items by 10%. The analyst has access to the table at version 8 (before the job) and version 9 (after the job). Which query will confirm that the update was applied correctly?
Select an answer first
4foundation · easy
What is a practical way to validate that a recent update to a Delta table produced the expected changes?
Select an answer first
5foundation · easy
How can you query a Delta table as it existed at a specific point in time?
Select an answer first

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