Best Databricks-Certified-Data-Engineer-Associate Exam Dumps for the Preparation of Latest Databricks-Certified-Data-Engineer-Associate Exam Questions [Q23-Q42]

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Best Databricks-Certified-Data-Engineer-Associate Exam Dumps for the Preparation of Latest Databricks-Certified-Data-Engineer-Associate Exam Questions

Download Latest & Valid Questions For Databricks Databricks-Certified-Data-Engineer-Associate exam

Databricks Certified Data Engineer Associate certification is designed to help professionals stay up-to-date with the latest data engineering trends and technologies. Databricks Certified Data Engineer Associate Exam certification exam is regularly updated to ensure that it reflects the latest developments in the field of data engineering. By earning this certification, professionals can demonstrate their commitment to professional development and their dedication to staying current in their field.

Passing the Databricks Certified Data Engineer Associate certification exam is a great achievement that can enhance the career prospects of the candidates. Databricks Certified Data Engineer Associate Exam certification exam is recognized globally and is highly valued by the employers. Certified Data Engineer Associates can work as data engineers, data architects, data analysts, machine learning engineers, and data scientists in various industries such as healthcare, finance, retail, and technology. Databricks Certified Data Engineer Associate Exam certification exam is also a stepping stone towards the advanced Databricks Certified Data Engineer Professional certification exam.

QUESTION 23
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

QUESTION 24
In which of the following scenarios should a data engineer select a Task in the Depends On field of a new Databricks Job Task?

When another task needs to be replaced by the new task

When another task needs to fail before the new task begins

When another task has the same dependency libraries as the new task

When another task needs to use as little compute resources as possible

When another task needs to successfully complete before the new task begins

QUESTION 25
Which of the following Structured Streaming queries is performing a hop from a Silver table to a Gold table?

QUESTION 26
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 27
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

QUESTION 28
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

QUESTION 29
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

QUESTION 30
A data engineer wants to schedule their Databricks SQL dashboard to refresh every hour, but they only want the associated SQL endpoint to be running when it is necessary. The dashboard has multiple queries on multiple datasets associated with it. The data that feeds the dashboard is automatically processed using a Databricks Job.
Which of the following approaches can the data engineer use to minimize the total running time of the SQL endpoint used in the refresh schedule of their dashboard?

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

They can ensure the dashboard’s SQL endpoint is not one of the included query’s SQL endpoint.

They can reduce the cluster size of the SQL endpoint.

They can ensure the dashboard’s SQL endpoint matches each of the queries’ SQL endpoints.

They can set up the dashboard’s SQL endpoint to be serverless.

QUESTION 31
Which of the following approaches should be used to send the Databricks Job owner an email in the case that the Job fails?

Manually programming in an alert system in each cell of the Notebook

Setting up an Alert in the Job page

Setting up an Alert in the Notebook

There is no way to notify the Job owner in the case of Job failure

MLflow Model Registry Webhooks

QUESTION 32
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 33
A data engineer has been using a Databricks SQL dashboard to monitor the cleanliness of the input data to an ELT job. The ELT job has its Databricks SQL query that returns the number of input records containing unexpected NULL values. The data engineer wants their entire team to be notified via a messaging webhook whenever this value reaches 100.
Which of the following approaches can the data engineer use to notify their entire team via a messaging webhook whenever the number of NULL values reaches 100?

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 a new webhook alert destination.

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

They can set up an Alert without notifications.

QUESTION 34
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 35
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;

QUESTION 36
A data engineer needs to create a table in Databricks using data from their organization’s existing SQLite database.
They run the following command:

Which of the following lines of code fills in the above blank to successfully complete the task?

org.apache.spark.sql.jdbc

autoloader

DELTA

sqlite

org.apache.spark.sql.sqlite

QUESTION 37
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

Data Explorer

Databricks SQL

Delta Lake

Auto Loader

QUESTION 38
Which of the following tools is used by Auto Loader process data incrementally?

Checkpointing

Spark Structured Streaming

Data Explorer

Unity Catalog

Databricks SQL

QUESTION 39
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

QUESTION 40
Which of the following can be used to simplify and unify siloed data architectures that are specialized for specific use cases?

None of these

Data lake

Data warehouse

All of these

Data lakehouse

QUESTION 41
Which of the following describes the type of workloads that are always compatible with Auto Loader?

Dashboard workloads

Streaming workloads

Machine learning workloads

Serverless workloads

Batch workloads

QUESTION 42
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