Databricks-Certified-Data-Engineer-Associate Braindumps PDF, Databricks Databricks-Certified-Data-Engineer-Associate Exam Cram [Q11-Q30]

4.9/5 - (7 votes)

Databricks-Certified-Data-Engineer-Associate Braindumps PDF, Databricks Databricks-Certified-Data-Engineer-Associate Exam Cram

New 2026 Databricks-Certified-Data-Engineer-Associate Sample Questions Reliable Databricks-Certified-Data-Engineer-Associate Test Engine

The GAQM Databricks-Certified-Data-Engineer-Associate (Databricks Certified Data Engineer Associate) Exam is a certification exam designed for professionals seeking to validate their proficiency in data engineering using Databricks. Databricks-Certified-Data-Engineer-Associate exam covers various aspects of Databricks such as data transformation, ETL processes, data modeling, and data warehousing. Databricks Certified Data Engineer Associate Exam certification is globally recognized and demonstrates the candidate’s expertise in Databricks data engineering.

NEW QUESTION 11
A data engineering team is using Kafka to capture event data and then ingest it into Databricks. The team wants to be able to see these historical events. Medallion architecture is already in place. The team wants to be mindful of costs.
Where should this historical event data be stored?

Gold

Silver

Bronze

Raw layer

NEW QUESTION 12
A data engineer is designing an ETL pipeline to process both streaming and batch data from multiple sources The pipeline must ensure data quality, handle schema evolution, and provide easy maintenance. The team is considering using Delta Live Tables (DLT) in Databricks to achieve these goals. They want to understand the key features and benefits of DLT that make it suitable for this use case.
Why is Delta Live Tables (DLT) an appropriate choice?

Automatic data quality checks, built-in support for schema evolution, and declarative pipeline development

Manual schema enforcement, high operational overhead, and limited scalability

Requires custom code for data quality checks, no support for streaming data, and complex pipeline maintenance

Supports only batch processing, no data versioning, and high infrastructure costs

NEW QUESTION 13
A data engineer needs to determine whether to use the built-in Databricks Notebooks versioning or version their project using Databricks Repos.
Which of the following is an advantage of using Databricks Repos over the Databricks Notebooks versioning?

Databricks Repos automatically saves development progress

Databricks Repos supports the use of multiple branches

Databricks Repos allows users to revert to previous versions of a notebook

Databricks Repos provides the ability to comment on specific changes

Databricks Repos is wholly housed within the Databricks Lakehouse Platform

NEW QUESTION 14
A new data engineering team team. has been assigned to an ELT project. The new data engineering team will need full privileges on the database customers to fully manage the project.
Which of the following commands can be used to grant full permissions on the database to the new data engineering team?

GRANT USAGE ON DATABASE customers TO team;

GRANT ALL PRIVILEGES ON DATABASE team TO customers;

GRANT SELECT PRIVILEGES ON DATABASE customers TO teams;

GRANT SELECT CREATE MODIFY USAGE PRIVILEGES ON DATABASE customers TO team;

GRANT ALL PRIVILEGES ON DATABASE customers TO team;

NEW QUESTION 15
A dataset has been defined using Delta Live Tables and includes an expectations clause:
CONSTRAINT valid_timestamp EXPECT (timestamp > ‘2020-01-01’) ON VIOLATION FAIL UPDATE What is the expected behavior when a batch of data containing data that violates these constraints is processed?

Records that violate the expectation are dropped from the target dataset and recorded as invalid in the event log.

Records that violate the expectation cause the job to fail.

Records that violate the expectation are dropped from the target dataset and loaded into a quarantine table.

Records that violate the expectation are added to the target dataset and recorded as invalid in the event log.

Records that violate the expectation are added to the target dataset and flagged as invalid in a field added to the target dataset.

NEW QUESTION 16
A data engineer and data analyst are working together on a data pipeline. The data engineer is working on the raw, bronze, and silver layers of the pipeline using Python, and the data analyst is working on the gold layer of the pipeline using SQL. The raw source of the pipeline is a streaming input. They now want to migrate their pipeline to use Delta Live Tables.
Which of the following changes will need to be made to the pipeline when migrating to Delta Live Tables?

None of these changes will need to be made

The pipeline will need to stop using the medallion-based multi-hop architecture

The pipeline will need to be written entirely in SQL

The pipeline will need to use a batch source in place of a streaming source

The pipeline will need to be written entirely in Python

NEW QUESTION 17
A data organization leader is upset about the data analysis team’s reports being different from the data engineering team’s reports. The leader believes the siloed nature of their organization’s data engineering and data analysis architectures is to blame.
Which of the following describes how a data lakehouse could alleviate this issue?

Both teams would autoscale their work as data size evolves

Both teams would use the same source of truth for their work

Both teams would reorganize to report to the same department

Both teams would be able to collaborate on projects in real-time

Both teams would respond more quickly to ad-hoc requests

NEW QUESTION 18
A new data engineering team team has been assigned to an ELT project. The new data engineering team will need full privileges on the table sales to fully manage the project.
Which of the following commands can be used to grant full permissions on the database to the new data engineering team?

GRANT ALL PRIVILEGES ON TABLE sales TO team;

GRANT SELECT CREATE MODIFY ON TABLE sales TO team;

GRANT SELECT ON TABLE sales TO team;

GRANT USAGE ON TABLE sales TO team;

GRANT ALL PRIVILEGES ON TABLE team TO sales;

NEW QUESTION 19
A data engineer needs access to a table new_table, but they do not have the correct permissions. They can ask the table owner for permission, but they do not know who the table owner is.
Which of the following approaches can be used to identify the owner of new_table?

Review the Permissions tab in the table’s page in Data Explorer

All of these options can be used to identify the owner of the table

Review the Owner field in the table’s page in Data Explorer

Review the Owner field in the table’s page in the cloud storage solution

There is no way to identify the owner of the table

NEW QUESTION 20
A data engineer only wants to execute the final block of a Python program if the Python variable day_of_week is equal to 1 and the Python variable review_period is True.
Which of the following control flow statements should the data engineer use to begin this conditionally executed code block?

if day_of_week = 1 and review_period:

if day_of_week = 1 and review_period = “True”:

if day_of_week == 1 and review_period == “True”:

if day_of_week == 1 and review_period:

if day_of_week = 1 & review_period: = “True”:

NEW QUESTION 21
A data engineer is designing a data pipeline. The source system generates files in a shared directory that is also used by other processes. As a result, the files should be kept as is and will accumulate in the directory.
The data engineer needs to identify which files are new since the previous run in the pipeline, and set up the pipeline to only ingest those new files with each run.
Which of the following tools can the data engineer use to solve this problem?

Unity Catalog

Delta Lake

Databricks SQL

Data Explorer

Auto Loader

NEW QUESTION 22
A data engineer has realized that the data files associated with a Delta table are incredibly small. They want to compact the small files to form larger files to improve performance.
Which of the following keywords can be used to compact the small files?

REDUCE

OPTIMIZE

COMPACTION

REPARTITION

VACUUM

NEW QUESTION 23
A data analyst has created a Delta table sales that is used by the entire data analysis team. They want help from the data engineering team to implement a series of tests to ensure the data is clean. However, the data engineering team uses Python for its tests rather than SQL.
Which of the following commands could the data engineering team use to access sales in PySpark?

SELECT * FROM sales

There is no way to share data between PySpark and SQL.

spark.sql(“sales”)

spark.delta.table(“sales”)

spark.table(“sales”)

NEW QUESTION 24
What is the maximum output supported by a job cluster to ensure a notebook does not fail?

10MBS

25MBS

30MBS

15MBS

NEW QUESTION 25
A data engineer has been using a Databricks SQL dashboard to monitor the cleanliness of the input data to a data analytics dashboard for a retail use case. The job has a Databricks SQL query that returns the number of store-level records where sales is equal to zero. The data engineer wants their entire team to be notified via a messaging webhook whenever this value is greater than 0.
Which of the following approaches can the data engineer use to notify their entire team via a messaging webhook whenever the number of stores with $0 in sales is greater than zero?

They can set up an Alert with a custom template.

They can set up an Alert with a new email alert destination.

They can set up an Alert with one-time notifications.

They can set up an Alert with a new webhook alert destination.

They can set up an Alert without notifications.

NEW QUESTION 26
Which of the following tools is used by Auto Loader process data incrementally?

Checkpointing

Spark Structured Streaming

Data Explorer

Unity Catalog

Databricks SQL

NEW QUESTION 27
A data engineer has realized that they made a mistake when making a daily update to a table. They need to use Delta time travel to restore the table to a version that is 3 days old. However, when the data engineer attempts to time travel to the older version, they are unable to restore the data because the data files have been deleted.
Which of the following explains why the data files are no longer present?

The VACUUM command was run on the table

The TIME TRAVEL command was run on the table

The DELETE HISTORY command was run on the table

The OPTIMIZE command was nun on the table

The HISTORY command was run on the table

NEW QUESTION 28
Which of the following Git operations must be performed outside of Databricks Repos?

Commit

Pull

Push

Clone

Merge

NEW QUESTION 29
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?

They can increase the cluster size of the SQL endpoint.

They can increase the maximum bound of the SQL endpoint’s scaling range.

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

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

They can turn on the Serverless feature for the SQL endpoint and change the Spot Instance Policy to
“Reliability Optimized.”

NEW QUESTION 30
A data engineer runs a statement every day to copy the previous day’s sales into the table transactions. Each day’s sales are in their own file in the location “/transactions/raw”.
Today, the data engineer runs the following command to complete this task:

After running the command today, the data engineer notices that the number of records in table transactions has not changed.
Which of the following describes why the statement might not have copied any new records into the table?