Instant Download Databricks Databricks-Certified-Data-Engineer-Associate Free Updated Test Dumps [Q43-Q66]

NO.43 Which of the following describes the relationship between Bronze tables and raw data?

Bronze tables contain less data than raw data files.

Bronze tables contain more truthful data than raw data.

Bronze tables contain aggregates while raw data is unaggregated.

Bronze tables contain a less refined view of data than raw data.

Bronze tables contain raw data with a schema applied.

NO.44 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;

NO.45 A data engineer is running code in a Databricks Repo that is cloned from a central Git repository. A colleague of the data engineer informs them that changes have been made and synced to the central Git repository. The data engineer now needs to sync their Databricks Repo to get the changes from the central Git repository.
Which of the following Git operations does the data engineer need to run to accomplish this task?

Merge

Push

Pull

Commit

Clone

NO.46 A data engineer that is new to using Python needs to create a Python function to add two integers together and return the sum?
Which of the following code blocks can the data engineer use to complete this task?

NO.47 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;

NO.48 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.

NO.49 A data architect has determined that a table of the following format is necessary:
Which of the following code blocks uses SQL DDL commands to create an empty Delta table in the above format regardless of whether a table already exists with this name?

Option A

Option B

Option C

Option D

Option E

NO.50 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.

NO.51 A data engineer is maintaining a data pipeline. Upon data ingestion, the data engineer notices that the source data is starting to have a lower level of quality. The data engineer would like to automate the process of monitoring the quality level.
Which of the following tools can the data engineer use to solve this problem?

Unity Catalog

Data Explorer

Delta Lake

Delta Live Tables

Auto Loader

NO.52 A data engineer has a Job with multiple tasks that runs nightly. Each of the tasks runs slowly because the clusters take a long time to start.
Which of the following actions can the data engineer perform to improve the start up time for the clusters used for the Job?

They can use endpoints available in Databricks SQL

They can use jobs clusters instead of all-purpose clusters

They can configure the clusters to be single-node

They can use clusters that are from a cluster pool

They can configure the clusters to autoscale for larger data sizes

NO.53 A data engineer has a Python notebook in Databricks, but they need to use SQL to accomplish a specific task within a cell. They still want all of the other cells to use Python without making any changes to those cells.
Which of the following describes how the data engineer can use SQL within a cell of their Python notebook?

It is not possible to use SQL in a Python notebook

They can attach the cell to a SQL endpoint rather than a Databricks cluster

They can simply write SQL syntax in the cell

They can add %sql to the first line of the cell

They can change the default language of the notebook to SQL

NO.54 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

NO.55 Which of the following benefits of using the Databricks Lakehouse Platform is provided by Delta Lake?

The ability to manipulate the same data using a variety of languages

The ability to collaborate in real time on a single notebook

The ability to set up alerts for query failures

The ability to support batch and streaming workloads

The ability to distribute complex data operations

NO.56 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

NO.57 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

NO.58 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.

NO.59 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

NO.60 A data architect has determined that a table of the following format is necessary:

Which of the following code blocks uses SQL DDL commands to create an empty Delta table in the above format regardless of whether a table already exists with this name?

Option A

Option B

Option C

Option D

Option E

NO.61 A data engineer has a Python variable table_name that they would like to use in a SQL query. They want to construct a Python code block that will run the query using table_name.
They have the following incomplete code block:
____(f”SELECT customer_id, spend FROM {table_name}”)
Which of the following can be used to fill in the blank to successfully complete the task?

spark.delta.sql

spark.delta.table

spark.table

dbutils.sql

spark.sql

NO.62 A data engineering team has noticed that their Databricks SQL queries are running too slowly when they are submitted to a non-running SQL endpoint. The data engineering team wants this issue to be resolved.
Which of the following approaches can the team use to reduce the time it takes to return results in this scenario?

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

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

They can increase the cluster size of the SQL endpoint.

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

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

NO.63 A data engineer wants to create a new table containing the names of customers that live in France.
They have written the following command:

A senior data engineer mentions that it is organization policy to include a table property indicating that the new table includes personally identifiable information (PII).
Which of the following lines of code fills in the above blank to successfully complete the task?

There is no way to indicate whether a table contains PII.

“COMMENT PII”

TBLPROPERTIES PII

COMMENT “Contains PII”

PII

NO.64 A data engineer has created a new database using the following command:
CREATE DATABASE IF NOT EXISTS customer360;
In which of the following locations will the customer360 database be located?

dbfs:/user/hive/database/customer360

dbfs:/user/hive/warehouse

dbfs:/user/hive/customer360

More information is needed to determine the correct response

NO.65 Which of the following is a benefit of the Databricks Lakehouse Platform embracing open source technologies?

Cloud-specific integrations

Simplified governance

Ability to scale storage

Ability to scale workloads

Avoiding vendor lock-in

NO.66 Which of the following tools is used by Auto Loader process data incrementally?

Checkpointing