[Q10-Q32] Jun-2023 Realistic Databricks-Certified-Data-Engineer-Associate Accurate & Verified Answers As Experienced in the Actual Test!

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Jun-2023 Realistic Databricks-Certified-Data-Engineer-Associate Accurate & Verified Answers As Experienced in the Actual Test!

Latest GAQM Databricks-Certified-Data-Engineer-Associate Practice Test Questions, Databricks Certified Data Engineer Associate Exam Exam Dumps

The certification exam is designed for data engineers, data analysts, and data scientists who build and maintain data pipelines using Databricks. The exam is intended to validate an individual’s skills in data engineering and Databricks, enabling them to design and implement efficient data pipelines. The certification exam aims to test the candidate’s knowledge of data processing and data modeling, as well as their ability to use Databricks to process large datasets.

Q10. 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”)

Q11. Which of the following is hosted completely in the control plane of the classic Databricks architecture?

Worker node

JDBC data source

Databricks web application

Databricks Filesystem

Driver node

Q12. 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;

Q13. A data engineer wants to schedule their Databricks SQL dashboard to refresh once per day, but they only want the associated SQL endpoint to be running when it is necessary.
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 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.

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

They can reduce the cluster size of the SQL endpoint.

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

Q14. 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

Q15. 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

Q16. Which of the following Git operations must be performed outside of Databricks Repos?

Commit

Pull

Push

Clone

Merge

Q17. Which of the following data lakehouse features results in improved data quality over a traditional data lake?

A data lakehouse provides storage solutions for structured and unstructured data.

A data lakehouse supports ACID-compliant transactions.

A data lakehouse allows the use of SQL queries to examine data.

A data lakehouse stores data in open formats.

A data lakehouse enables machine learning and artificial Intelligence workloads.

Q18. 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.

Q19. 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.”

Q20. 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

Q21. A dataset has been defined using Delta Live Tables and includes an expectations clause:
CONSTRAINT valid_timestamp EXPECT (timestamp > ‘2020-01-01’) ON VIOLATION DROP ROW 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 loaded into a quarantine table.

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

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

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

Records that violate the expectation cause the job to fail.

Q22. 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

Q23. A data engineer has a single-task Job that runs each morning before they begin working. After identifying an upstream data issue, they need to set up another task to run a new notebook prior to the original task.
Which of the following approaches can the data engineer use to set up the new task?

They can clone the existing task in the existing Job and update it to run the new notebook.

They can create a new task in the existing Job and then add it as a dependency of the original task.

They can create a new task in the existing Job and then add the original task as a dependency of the new task.

They can create a new job from scratch and add both tasks to run concurrently.

They can clone the existing task to a new Job and then edit it to run the new notebook.

Q24. 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

Q25. 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

Q26. 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.

Q27. A data engineer wants to create a data entity from a couple of tables. The data entity must be used by other data engineers in other sessions. It also must be saved to a physical location.
Which of the following data entities should the data engineer create?

Database

Function

View

Temporary view

Table

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The Databricks Certified Data Engineer Associate certification is ideal for professionals working in data engineering, data warehousing, and data modeling roles. The certification demonstrates the candidate’s knowledge of Databricks and their ability to design and implement data engineering solutions using Databricks. It also validates their understanding of data transformation, ETL processes, data warehousing, and data modeling concepts. The certification can enhance the candidate’s career opportunities and increase their earning potential.

Free Databricks-Certified-Data-Engineer-Associate Exam Files Downloaded Instantly 100% Dumps & Practice Exam: https://www.prepawaytest.com/GAQM/Databricks-Certified-Data-Engineer-Associate-practice-exam-dumps.html

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