[2023] Databricks-Certified-Data-Engineer-Associate by GAQM: Date Centre Actual Free Exam Practice Test [Q13-Q35]

12Jul 2023 by admin No Comments

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[2023] Databricks-Certified-Data-Engineer-Associate by GAQM: Date Centre Actual Free Exam Practice Test

Free GAQM: Date Centre Databricks-Certified-Data-Engineer-Associate Exam Question

The exam has 50 multiple-choice questions, and the candidate has 90 minutes to complete it. It is an online exam that can be taken at any time and from anywhere in the world. The questions in the exam are designed to test the candidate’s ability to handle real-world data engineering challenges. The exam also tests the candidate’s understanding of the Databricks platform and how it can be used to solve data engineering problems.

The GAQM Databricks-Certified-Data-Engineer-Associate (Databricks Certified Data Engineer Associate) certification exam is designed for professionals who want to demonstrate their expertise in building and maintaining data pipelines on the Databricks platform. The exam validates the skills and knowledge required to design, build, and maintain data pipelines on Databricks, and is a recognition of the candidate’s ability to work with big data technologies and tools.

NO.13 A data engineer needs to apply custom logic to string column city in table stores for a specific use case. In order to apply this custom logic at scale, the data engineer wants to create a SQL user-defined function (UDF).
Which of the following code blocks creates this SQL UDF?

NO.14 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;

NO.15 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.16 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.17 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;

NO.18 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.

NO.19 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

NO.20 A data engineer only wants to execute the final block of a Python program if the Python variable day_of_week is equal to 1 and the Python variable review_period is True.
Which of the following control flow statements should the data engineer use to begin this conditionally executed code block?

if day_of_week = 1 and review_period:

if day_of_week = 1 and review_period = “True”:

if day_of_week == 1 and review_period == “True”:

if day_of_week == 1 and review_period:

if day_of_week = 1 & review_period: = “True”:

NO.21 A data analyst has a series of queries in a SQL program. The data analyst wants this program to run every day.
They only want the final query in the program to run on Sundays. They ask for help from the data engineering team to complete this task.
Which of the following approaches could be used by the data engineering team to complete this task?

They could submit a feature request with Databricks to add this functionality.

They could wrap the queries using PySpark and use Python’s control flow system to determine when to run the final query.

They could only run the entire program on Sundays.

They could automatically restrict access to the source table in the final query so that it is only accessible on Sundays.

They could redesign the data model to separate the data used in the final query into a new table.

NO.22 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.23 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.24 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;

NO.25 A data engineer is attempting to drop a Spark SQL table my_table. The data engineer wants to delete all table metadata and data.
They run the following command:
DROP TABLE IF EXISTS my_table
While the object no longer appears when they run SHOW TABLES, the data files still exist.
Which of the following describes why the data files still exist and the metadata files were deleted?

The table’s data was larger than 10 GB

The table’s data was smaller than 10 GB

The table was external

The table did not have a location

The table was managed

NO.26 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;

NO.27 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

NO.28 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

NO.29 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.

NO.30 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

GAQM Databricks-Certified-Data-Engineer-Associate Actual Questions and Braindumps: https://www.practicematerial.com/Databricks-Certified-Data-Engineer-Associate-exam-materials.html

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