2026 Actual Databricks Databricks-Certified-Data-Engineer-Associate Dumps, Updated Exam Questions for Guaranteed Pass

Databricks-Certified-Data-Engineer-Associate free sample questions and answers

Databricks Databricks-Certified-Data-Engineer-Associate practice quiz with correct answers for search indexing.

1. Question 1

   What is stored in a Databricks customer's cloud account?

   AData
   

   BCluster management metadata
   

   CDatabricks web application
   

   DNotebooks
   

   Correct answer: A

   In a Databricks customer's cloud account, the primary elements stored include:

   Data: This is the central type of content stored in the customer's cloud account. Data might include various datasets, tables, and files that are used and managed through Databricks platforms.

   Notebooks: These are also stored within a customer's cloud account. Notebooks include scripts, notes, and other information necessary for data analysis and processing tasks.

   Cluster management metadata is indeed managed through the cloud, but it's primarily handled by Databricks rather than stored directly in the customer's account. The Databricks web application itself is not stored within the customer's cloud account; rather, it's a service provided by Databricks.

   
   

2. Question 2

   A Data Engineer is building a simple data pipeline using Delta Live Tables (DLT) in Databricksto ingest customer dat

   a. The raw customer data is stored in a cloud storage location in JSON format. The task is to create a DLT pipeline that reads the rawJSON data and writes it into a Delta table for further processing.

   Which code snippet will correctly ingest the raw JSON data and create a Delta table using DLT?

   A)

   

   B)

   

   C)

   

   D)

   

   AOption A
   

   BOption B
   

   COption C
   

   DOption D
   

   Correct answer: B

   
   

3. Question 3

   A data analysis team has noticed that their Databricks SQL queries are running too slowly when connected to their always-on SQL endpoint. They claim that this issue is present when many members of the team are running small queries simultaneously. They ask the data engineering team for help. The data engineering team notices that each of the team's queries uses the same SQL endpoint.

   Which of the following approaches can the data engineering team use to improve the latency of the team's queries?

   AThey can increase the cluster size of the SQL endpoint.
   

   BThey can increase the maximum bound of the SQL endpoint's scaling range.
   

   CThey can turn on the Auto Stop feature for the SQL endpoint.
   

   DThey can turn on the Serverless feature for the SQL endpoint.
   

   EThey can turn on the Serverless feature for the SQL endpoint and change the Spot Instance Policy to ''Reliability Optimized.''
   

   Correct answer: C

   https://community.databricks.com/t5/data-engineering/sequential-vs-concurrency-optimization-questions-from-query/td-p/36696

   
   

4. Question 4

   A data engineer is designing a Gold-layer table for a BI team that needs to query complex aggregations. The data should be precomputed to provide low latency for dashboard users, while the underlying source data changes only once every few hours.

   Which object type should be implemented in Unity Catalog?

   AStreaming table
   

   BMaterialized view
   

   CExternal table
   

   DView
   

   Correct answer: B

   
   

5. Question 5

   A data engineer needs to enforce row-level security on main.secure.events(region STRING, event_id STRING). Members of the account group all_regions must see all rows. All other users must see only rows where region = 'EU'.

   Which SQL sequence satisfies the requirement?

   ACREATE FUNCTION main.secure.region_filter(region STRING)
   RETURN IF(is_account_group_member('all_regions'), true, region = 'EU');
   ALTER TABLE main.secure.events
   SET ROW FILTER main.secure.region_filter ON (region);
   

   BCREATE FUNCTION main.secure.region_filter(region STRING)
   RETURN IF(is_account_group_member('all_regions'), true, region = 'EU');
   ALTER TABLE main.secure.events
   ALTER COLUMN region
   SET MASK main.secure.region_filter;
   

   CCREATE FUNCTION main.secure.region_filter(region STRING)
   RETURN IF(is_account_group_member('all_regions'), true, region = 'EU');
   ALTER VIEW main.secure.events
   SET ROW FILTER main.secure.region_filter ON (region);
   

   DCREATE FUNCTION main.secure.region_filter(region STRING)
   RETURN IF(is_account_group_member('all_regions'), true, region = 'EU');
   ALTER TABLE main.secure.events
   SET ROW FILTER main.secure.region_filter USING COLUMNS (region);
   

   Correct answer: A

   A row-filter function must return a Boolean value indicating whether each row is visible to the current user. The function in option A returns true for members of the account-level all_regions group, allowing them to see every row. For other users, it returns the result of region = 'EU', limiting visibility to European records. is_account_group_member checks direct or indirect membership in an account-level group. The ALTER TABLE ... SET ROW FILTER ... ON (region) statement then associates the function with the table and passes the region column to it for every query. A column mask transforms displayed column values rather than removing rows. The object is a table, not a view, and USING COLUMNS is not the correct row-filter attachment syntax. Therefore, option A is correct.