[Sep 28, 2024] Genuine Databricks-Certified-Data-Engineer-Associate Exam Dumps New 2024 Databricks Pratice Exam [Q20-Q40] : Valid Premium Exam : http://premium.validexam.com

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[Sep 28, 2024] Genuine Databricks-Certified-Data-Engineer-Associate Exam Dumps New 2024 Databricks Pratice Exam [Q20-Q40]

[Sep 28, 2024] Genuine Databricks-Certified-Data-Engineer-Associate Exam Dumps New 2024 Databricks Pratice Exam

New 2024 Realistic Databricks-Certified-Data-Engineer-Associate Dumps Test Engine Exam Questions in here

The GAQM Databricks-Certified-Data-Engineer-Associate (Databricks Certified Data Engineer Associate) Certification Exam is a comprehensive and rigorous examination that validates a candidate's understanding of the Databricks platform and its role in data engineering. Databricks Certified Data Engineer Associate Exam certification focuses on assessing the practical skills and knowledge required to design, build, and maintain data pipelines using Databricks.

The Databricks Databricks-Certified-Data-Engineer-Associate exam covers a range of topics, including data ingestion, processing, and storage. Candidates are tested on their ability to design and implement data pipelines, data models, and data processing workflows using Databricks. Databricks is a cloud-based data platform that provides a unified analytics platform for data engineering, data science, and machine learning.

NEW QUESTION 20
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;

NEW QUESTION 21
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

NEW QUESTION 22
Which of the following SQL keywords can be used to convert a table from a long format to a wide format?

PIVOT

CONVERT

WHERE

TRANSFORM

SUM

NEW QUESTION 23
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

NEW QUESTION 24
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

NEW QUESTION 25
Which of the following commands will return the number of null values in the member_id column?

SELECT count(member_id) FROM my_table;

SELECT count(member_id) – count_null(member_id) FROM my_table;

SELECT count_if(member_id IS NULL) FROM my_table;

SELECT null(member_id) FROM my_table;

SELECT count_null(member_id) FROM my_table;

NEW QUESTION 26
Which of the following is stored in the Databricks customer’s cloud account?

Databricks web application

Cluster management metadata

Repos

Data

Notebooks

NEW QUESTION 27
An engineering manager uses a Databricks SQL query to monitor ingestion latency for each data source. The manager checks the results of the query every day, but they are manually rerunning the query each day and waiting for the results.
Which of the following approaches can the manager use to ensure the results of the query are updated each day?

They can schedule the query to refresh every 1 day from the SQL endpoint’s page in Databricks SQL.

They can schedule the query to refresh every 12 hours from the SQL endpoint’s page in Databricks SQL.

They can schedule the query to refresh every 1 day from the query’s page in Databricks SQL.

They can schedule the query to run every 1 day from the Jobs UI.

They can schedule the query to run every 12 hours from the Jobs UI.

NEW QUESTION 28
Which of the following describes a scenario in which a data team will want to utilize cluster pools?

An automated report needs to be refreshed as quickly as possible.

An automated report needs to be made reproducible.

An automated report needs to be tested to identify errors.

An automated report needs to be version-controlled across multiple collaborators.

An automated report needs to be runnable by all stakeholders.

NEW QUESTION 29
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”)

NEW QUESTION 30
Which of the following describes the relationship between Gold tables and Silver tables?

Gold tables are more likely to contain aggregations than Silver tables.

Gold tables are more likely to contain valuable data than Silver tables.

Gold tables are more likely to contain a less refined view of data than Silver tables.

Gold tables are more likely to contain more data than Silver tables.

Gold tables are more likely to contain truthful data than Silver tables.

NEW QUESTION 31
Which file format is used for storing Delta Lake Table?

Parquet

Delta

JSON

NEW QUESTION 32
Which of the following is a benefit of the Databricks Lakehouse Platform embracing open source technologies?

Cloud-specific integrations

Simplified governance

Avoiding vendor lock-in

Ability to scale workloads

Ability to scale storage

NEW QUESTION 33
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.

NEW QUESTION 34
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?

NEW QUESTION 35
A data engineer needs to apply custom logic to identify employees with more than 5 years of experience in array column employees in table stores. The custom logic should create a new column exp_employees that is an array of all of the employees with more than 5 years of experience for each row. In order to apply this custom logic at scale, the data engineer wants to use the FILTER higher-order function.
Which of the following code blocks successfully completes this task?

Option A

Option B

Option C

Option D

Option E

NEW QUESTION 36
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?

They can navigate to the Runs tab in the Jobs UI to immediately review the processing notebook.

They can navigate to the Tasks tab in the Jobs UI and click on the active run to review the processing notebook.

They can navigate to the Runs tab in the Jobs UI and click on the active run to review the processing notebook.

There is no way to determine why a Job task is running slowly.

They can navigate to the Tasks tab in the Jobs UI to immediately review the processing notebook.

NEW QUESTION 37
Which of the following code blocks will remove the rows where the value in column age is greater than 25 from the existing Delta table my_table and save the updated table?

SELECT * FROM my_table WHERE age > 25;

UPDATE my_table WHERE age > 25;

DELETE FROM my_table WHERE age > 25;

UPDATE my_table WHERE age <= 25;

DELETE FROM my_table WHERE age <= 25;

NEW QUESTION 38
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

NEW QUESTION 39
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.

NEW QUESTION 40
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

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Post date: 2024-09-28 11:26:00
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