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The GAQM Databricks-Certified-Data-Engineer-Associate (Databricks Certified Data Engineer Associate) Certification Exam is designed to test the skills of data engineers who work with Databricks to build and maintain data pipelines. The exam covers a wide range of topics, including data modeling, data ingestion, data transformation, and data analysis. Successful completion of the exam demonstrates that a candidate has the skills and knowledge required to work effectively as a data engineer with Databricks.

GAQM Databricks Certified Data Engineer Associate Exam Sample Questions (Q32-Q37):

NEW QUESTION # 32
A new data engineering team has been assigned to work on a project. The team will need access to database customers in order to see what tables already exist. The team has its own group team.
Which of the following commands can be used to grant the necessary permission on the entire database to the new team?

A. GRANT USAGE ON DATABASE customers TO team;
B. GRANT CREATE ON DATABASE team TO customers;
C. GRANT CREATE ON DATABASE customers TO team;
D. GRANT USAGE ON CATALOG team TO customers;
E. GRANT VIEW ON CATALOG customers TO team;

Answer: A

NEW QUESTION # 33
A single Job runs two notebooks as two separate tasks. A data engineer has noticed that one of the notebooks is running slowly in the Job's current run. The data engineer asks a tech lead for help in identifying why this might be the case.
Which of the following approaches can the tech lead use to identify why the notebook is running slowly as part of the Job?

A. They can navigate to the Runs tab in the Jobs UI and click on the active run to review the processing notebook.
B. They can navigate to the Tasks tab in the Jobs UI to immediately review the processing notebook.
C. There is no way to determine why a Job task is running slowly.
D. They can navigate to the Runs tab in the Jobs UI to immediately review the processing notebook.
E. They can navigate to the Tasks tab in the Jobs UI and click on the active run to review the processing notebook.

Answer: A

NEW QUESTION # 34
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?

A. The COPY INTO statement requires the table to be refreshed to view the copied rows.
B. The PARQUET file format does not support COPY INTO.
C. The format of the files to be copied were not included with the FORMAT_OPTIONS keyword.
D. The names of the files to be copied were not included with the FILES keyword.
E. The previous day's file has already been copied into the table.

Answer: E

NEW QUESTION # 35
Which of the following benefits is provided by the array functions from Spark SQL?

A. An ability to work with data within certain partitions and windows
B. An ability to work with an array of tables for procedural automation
C. An ability to work with time-related data in specified intervals
D. An ability to work with complex, nested data ingested from JSON files
E. An ability to work with data in a variety of types at once

Answer: A

NEW QUESTION # 36
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?