Free Apr-2023 Databricks-Certified-Data-Engineer-Associate Certification Sample Questions certification Exam [Q19-Q33]

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Free Apr-2023 Databricks-Certified-Data-Engineer-Associate Certification Sample Questions certification Exam

Certification Topics of Databricks-Certified-Data-Engineer-Associate Exam PDF Recently Updated Questions

QUESTION 19
A data engineer has configured a Structured Streaming job to read from a table, manipulate the data, and then perform a streaming write into a new table.
The cade block used by the data engineer is below:

If the data engineer only wants the query to execute a micro-batch to process data every 5 seconds, which of the following lines of code should the data engineer use to fill in the blank?

trigger(“5 seconds”)

trigger()

trigger(once=”5 seconds”)

trigger(processingTime=”5 seconds”)

trigger(continuous=”5 seconds”)

QUESTION 20
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?

The format of the files to be copied were not included with the FORMAT_OPTIONS keyword.

The names of the files to be copied were not included with the FILES keyword.

The previous day’s file has already been copied into the table.

The PARQUET file format does not support COPY INTO.

The COPY INTO statement requires the table to be refreshed to view the copied rows.

QUESTION 21
Which of the following benefits is provided by the array functions from Spark SQL?

An ability to work with data in a variety of types at once

An ability to work with data within certain partitions and windows

An ability to work with time-related data in specified intervals

An ability to work with complex, nested data ingested from JSON files

An ability to work with an array of tables for procedural automation

QUESTION 22
A Delta Live Table pipeline includes two datasets defined using STREAMING LIVE TABLE. Three datasets are defined against Delta Lake table sources using LIVE TABLE.
The table is configured to run in Production mode using the Continuous Pipeline Mode.
Assuming previously unprocessed data exists and all definitions are valid, what is the expected outcome after clicking Start to update the pipeline?

All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will persist to allow for additional testing.

All datasets will be updated once and the pipeline will persist without any processing. The compute resources will persist but go unused.

All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will be deployed for the update and terminated when the pipeline is stopped.

All datasets will be updated once and the pipeline will shut down. The compute resources will be terminated.

All datasets will be updated once and the pipeline will shut down. The compute resources will persist to allow for additional testing.

QUESTION 23
Which of the following commands will return the location of database customer360?

DESCRIBE LOCATION customer360;

DROP DATABASE customer360;

DESCRIBE DATABASE customer360;

ALTER DATABASE customer360 SET DBPROPERTIES (‘location’ = ‘/user’};

USE DATABASE customer360;

QUESTION 24
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

QUESTION 25
A data engineer has left the organization. The data team needs to transfer ownership of the data engineer’s Delta tables to a new data engineer. The new data engineer is the lead engineer on the data team.
Assuming the original data engineer no longer has access, which of the following individuals must be the one to transfer ownership of the Delta tables in Data Explorer?

Databricks account representative

This transfer is not possible

Workspace administrator

New lead data engineer

Original data engineer

QUESTION 26
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”)

QUESTION 27
Which of the following describes the storage organization of a Delta table?

Delta tables are stored in a single file that contains data, history, metadata, and other attributes.

Delta tables store their data in a single file and all metadata in a collection of files in a separate location.

Delta tables are stored in a collection of files that contain data, history, metadata, and other attributes.

Delta tables are stored in a collection of files that contain only the data stored within the table.

Delta tables are stored in a single file that contains only the data stored within the table.

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

Commit

Pull

Push

Clone

Merge

QUESTION 29
A data engineer has three tables in a Delta Live Tables (DLT) pipeline. They have configured the pipeline to drop invalid records at each table. They notice that some data is being dropped due to quality concerns at some point in the DLT pipeline. They would like to determine at which table in their pipeline the data is being dropped.
Which of the following approaches can the data engineer take to identify the table that is dropping the records?

They can set up separate expectations for each table when developing their DLT pipeline.

They cannot determine which table is dropping the records.

They can set up DLT to notify them via email when records are dropped.

They can navigate to the DLT pipeline page, click on each table, and view the data quality statistics.

They can navigate to the DLT pipeline page, click on the “Error” button, and review the present errors.

QUESTION 30
An engineering manager wants to monitor the performance of a recent project using a Databricks SQL query.
For the first week following the project’s release, the managerwants the query results to be updated every minute. However, the manager is concerned that the compute resources used for the query will be left running and cost the organization a lot of money beyond the first week of the project’s release.
Which of the following approaches can the engineering team use to ensure the query does not cost the organization any money beyond the first week of the project’s release?

They can set a limit to the number of DBUs that are consumed by the SQL Endpoint.

They can set the query’s refresh schedule to end after a certain number of refreshes.

They cannot ensure the query does not cost the organization money beyond the first week of the project’s release.

They can set a limit to the number of individuals that are able to manage the query’s refresh schedule.

They can set the query’s refresh schedule to end on a certain date in the query scheduler.

QUESTION 31
In order for Structured Streaming to reliably track the exact progress of the processing so that it can handle any kind of failure by restarting and/or reprocessing, which of the following two approaches is used by Spark to record the offset range of the data being processed in each trigger?

Checkpointing and Write-ahead Logs

Structured Streaming cannot record the offset range of the data being processed in each trigger.

Replayable Sources and Idempotent Sinks

Write-ahead Logs and Idempotent Sinks

Checkpointing and Idempotent Sinks

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?

GRANT VIEW ON CATALOG customers TO team;

GRANT CREATE ON DATABASE customers TO team;

GRANT USAGE ON CATALOG team TO customers;

GRANT CREATE ON DATABASE team TO customers;

GRANT USAGE ON DATABASE customers TO team;

QUESTION 33
Which of the following describes when to use the CREATE STREAMING LIVE TABLE (formerly CREATE INCREMENTAL LIVE TABLE) syntax over the CREATE LIVE TABLE syntax when creating Delta Live Tables (DLT) tables using SQL?

CREATE STREAMING LIVE TABLE should be used when the subsequent step in the DLT pipeline is static.

CREATE STREAMING LIVE TABLE should be used when data needs to be processed incrementally.

CREATE STREAMING LIVE TABLE is redundant for DLT and it does not need to be used.

CREATE STREAMING LIVE TABLE should be used when data needs to be processed through complicated aggregations.

CREATE STREAMING LIVE TABLE should be used when the previous step in the DLT pipeline is static.

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