DATABRICKS CERTIFIED DATA ENGINEER ASSOCIATE 2026 EXAM COMPLETE CURRENT TESTING QUESTION AND DETAILED CORRECT ANSWER (VERIFIED) TOP-RATED A+

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DATABRICKS CERTIFIED DATA ENGINEER
ASSOCIATE 2026 EXAM COMPLETE CURRENT
TESTING QUESTION AND DETAILED
CORRECT ANSWER (VERIFIED) TOP-RATED
A+.
DATA ENGINEER
Ace your Databricks Certified Data Engineer Associate exam by
mastering data processing, ETL pipelines, and analytics on the
Databricks Lakehouse Platform. This exam evaluates your ability
to design and implement scalable, production-ready data
solutions using Apache Spark and Delta Lake. It is specifically
designed to validate your skills for professional roles in big data
engineering and cloud analytics.


A data engineering team has created a series of tables using
Parquet data stored in an external system. The team is
noticing that after appending new rows to the data in the
external system, their queries within Databricks are not
returning the new rows. They identify the caching of the
previous data as the cause of this issue. Which of the
following approaches will ensure that the data returned by
queries is always up-to-date?
A. The tables should be converted to the Delta format

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B. The tables should be stored in a cloud-based external
system
C. The tables should be refreshed in the writing cluster
before the next query is run
D. The tables should be altered to include metadata to not
cache
E. The tables should be updated before the next query is run
✓ ✓...... ANSWER ....... A. The tables should be
converted to the Delta format


A table customerLocations exists with the following schema:
id STRING, date STRING, city STRING, country STRING
A senior data engineer wants to create a new table from this
table using the following command:
CREATE TABLE customersPerCountry AS
SELECT country,
COUNT(*) AS customers
FROM customerLocations
GROUP BY country;

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A junior data engineer asks why the schema is not being
declared for the new table. Which of the following responses
explains why declaring the schema is not necessary?
A. CREATE TABLE AS SELECT statements adopt schema
details from the source table and query.
B. CREATE TABLE AS SELECT statements infer the schema by
scanning the data.
C. CREATE TABLE AS SELECT statements result in tables
where schemas are optional.
D. CREATE TABLE AS SELECT statements assign all columns
the type STRING.
E. CREATE TABLE AS SELECT statements result in tables that
do not support schemas. ✓ ✓...... ANSWER ....... A.
CREATE TABLE AS SELECT statements adopt schema details
from the source table and query.


A data engineer is overwriting data in a table by deleting the
table and recreating the table. Another data engineer
suggests that this is inefficient and the table should simply
be overwritten instead. Which of the following reasons to
overwrite the table instead of deleting and recreating the
table is incorrect?

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A. Overwriting a table is efficient because no files need to be
deleted.
B. Overwriting a table results in a clean table history for
logging and audit purposes.
C. Overwriting a table maintains the old version of the table
for Time Travel.
D. Overwriting a table is an atomic operation and will not
leave the table in an unfinished state.
E. Overwriting a table allows for concurrent queries to be
completed while in progress. ✓ ✓...... ANSWER ....... B.
Overwriting a table results in a clean table history for logging
and audit purposes.


Which of the following commands will return records from
an existing Delta table my_table where duplicates have been
removed?
A. DROP DUPLICATES FROM my_table;
B. SELECT * FROM my_table WHERE duplicate = False;
C. SELECT DISTINCT * FROM my_table;
D. MERGE INTO my_table a USING new_records b ON a.id =
b.id WHEN NOT MATCHED THEN INSERT *;