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To become a Databricks Certified Data Engineer Associate, candidates must pass a rigorous exam that tests their knowledge of Databricks architecture, data modeling, data processing, and data integration. Databricks-Certified-Data-Engineer-Associate Exam consists of 60 multiple-choice questions and must be completed within 90 minutes. Candidates must score at least 70% to pass the exam and earn the certification.

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The GAQM Databricks-Certified-Data-Engineer-Associate (Databricks Certified Data Engineer Associate) Exam is a certification that is designed to test the skills and knowledge of data engineers who work with Databricks. Data engineers play a critical role in any organization that relies on data to make decisions. They are responsible for the design, construction, and maintenance of data pipelines, data models, and data warehouses.

Databricks Certified Data Engineer Associate Exam Sample Questions (Q181-Q186):

NEW QUESTION # 181
A data engineer is reviewing the documentation on audit logs in Databricks for compliance purposes and needs to understand the format in which audit logs output events.
How are events formatted in Databricks audit logs?

A. In Databricks, audit logs output events in a CSV format.
B. In Databricks, audit logs output events in an XML format.
C. In Databricks, audit logs output events in a plain text format.
In Databricks, audit logs output events in a JSON format.

Answer: B

NEW QUESTION # 182
A data engineering team has two tables. The first table march_transactions is a collection of all retail transactions in the month of March. The second table april_transactions is a collection of all retail transactions in the month of April. There are no duplicate records between the tables.
Which of the following commands should be run to create a new table all_transactions that contains all records from march_transactions and april_transactions without duplicate records?

A. CREATE TABLE all_transactions AS
SELECT * FROM march_transactions
MERGE SELECT * FROM april_transactions;
B. CREATE TABLE all_transactions AS
SELECT * FROM march_transactions
INNER JOIN SELECT * FROM april_transactions;
C. CREATE TABLE all_transactions AS
SELECT * FROM march_transactions
OUTER JOIN SELECT * FROM april_transactions;
D. CREATE TABLE all_transactions AS
SELECT * FROM march_transactions
UNION SELECT * FROM april_transactions;
E. CREATE TABLE all_transactions AS
SELECT * FROM march_transactions
INTERSECT SELECT * from april_transactions;

Answer: D

Explanation:
Explanation
To create a new table all_transactions that contains all records from march_transactions and april_transactions without duplicate records, you should use the UNION operator, as shown in option B. This operator combines the result sets of the two tables while automatically removing duplicate records.

NEW QUESTION # 183
Which single Databricks CLI command deploys local bundle assets to the target workspace specified in the bundle configuration file?

A. databricks bundle init && databricks bundle deployment
B. databricks bundle deploy
C. databricks bundle plan && databricks bundle run
D. databricks bundle validate

Answer: B

NEW QUESTION # 184
A data engineer is processing ingested streaming tables and needs to filter out NULL values in the order_datetime column from the raw streaming table orders_raw and store the results in a new table orders_valid using DLT.
Which code snippet should the data engineer use?

Answer: B

NEW QUESTION # 185
A data engineer is onboarding a new Bronze ingestion pipeline in Databricks with Unity Catalog. The team wants Databricks to handle storage layout, apply platform optimizations over time, and simplify lifecycle management so that when a table is dropped, its underlying data is also cleaned up according to Databricks- managed retention policies.
Which table type should the data engineer create for these ingestion tables?

A. Managed tables so that Unity Catalog manages both metadata and underlying data lifecycle
B. Temporary views over files to avoid table-level governance and lifecycle coupling
C. Foreign tables federated from an external catalog to delegate optimization to the source system
D. External tables with a LOCATION pointing to an external volume for full control of file layout

Answer: A

NEW QUESTION # 186
......

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