Databricks Databricks-Certified-Data-Engineer-Associate Exam Preparation Guide and PDF Download [Q43-Q66]

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Databricks Databricks-Certified-Data-Engineer-Associate Exam Preparation Guide and PDF Download [Q43-Q66]

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Databricks Databricks-Certified-Data-Engineer-Associate Exam Preparation Guide and PDF Download

Verified & Correct Databricks-Certified-Data-Engineer-Associate Practice Test Reliable Source Dec 21, 2024 Updated

QUESTION 43
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 44
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.

QUESTION 45
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 46
A data engineer has configured a Structured Streaming job to read from a table, manipulate the data, and then perform a streaming write into a new table.
The code block used by the data engineer is below:

If the data engineer only wants the query to process all of the available data in as many batches as required, which of the following lines of code should the data engineer use to fill in the blank?

processingTime(1)

trigger(availableNow=True)

trigger(parallelBatch=True)

trigger(processingTime=”once”)

trigger(continuous=”once”)

QUESTION 47
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

QUESTION 48
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 49
Which of the following Git operations must be performed outside of Databricks Repos?

Commit

Pull

Push

Clone

Merge

QUESTION 50
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

QUESTION 51
Which of the following describes a benefit of creating an external table from Parquet rather than CSV when using a CREATE TABLE AS SELECT statement?

Parquet files can be partitioned

CREATE TABLE AS SELECT statements cannot be used on files

Parquet files have a well-defined schema

Parquet files have the ability to be optimized

Parquet files will become Delta tables

QUESTION 52
A data engineer has joined an existing project and they see the following query in the project repository:
CREATE STREAMING LIVE TABLE loyal_customers AS
SELECT customer_id –
FROM STREAM(LIVE.customers)
WHERE loyalty_level = ‘high’;
Which of the following describes why the STREAM function is included in the query?

The STREAM function is not needed and will cause an error.

The table being created is a live table.

The customers table is a streaming live table.

The customers table is a reference to a Structured Streaming query on a PySpark DataFrame.

The data in the customers table has been updated since its last run.

QUESTION 53
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 Development 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 once and the pipeline will shut down. The compute resources will be terminated.

All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will persist until the pipeline is shut down.

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 once and the pipeline will shut down. The compute resources will persist to allow for additional testing.

All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will persist to allow for additional testing.

QUESTION 54
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

QUESTION 55
Which of the following is stored in the Databricks customer’s cloud account?

Databricks web application

Cluster management metadata

Repos

Data

Notebooks

QUESTION 56
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 Development 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 once and the pipeline will shut down. The compute resources will be terminated.

All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will persist until the pipeline is shut down.

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 once and the pipeline will shut down. The compute resources will persist to allow for additional testing.

All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will persist to allow for additional testing.

QUESTION 57
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.

QUESTION 58
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?

QUESTION 59
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.

QUESTION 60
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”:

QUESTION 61
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 62
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

QUESTION 63
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 64
A data engineer has configured a Structured Streaming job to read from a table, manipulate the data, and then perform a streaming write into a new table.
The cade block used by the data engineer is below:

If the data engineer only wants the query to execute a micro-batch to process data every 5 seconds, which of the following lines of code should the data engineer use to fill in the blank?

trigger(“5 seconds”)

trigger()

trigger(once=”5 seconds”)

trigger(processingTime=”5 seconds”)

trigger(continuous=”5 seconds”)

QUESTION 65
Which of the following must be specified when creating a new Delta Live Tables pipeline?

A key-value pair configuration

The preferred DBU/hour cost

A path to cloud storage location for the written data

A location of a target database for the written data

At least one notebook library to be executed

QUESTION 66
In which of the following file formats is data from Delta Lake tables primarily stored?

Delta

CSV

Parquet

JSON

A proprietary, optimized format specific to Databricks

To prepare for the Databricks-Certified-Data-Engineer-Associate exam, individuals can take advantage of a range of resources. These resources include online courses, practice exams, and study guides. It is also recommended that individuals gain practical experience working with Databricks before taking the exam.

The GAQM Databricks-Certified-Data-Engineer-Associate exam is a challenging and comprehensive exam that tests the individual’s knowledge of Databricks and their ability to design and implement data-driven solutions. With the right preparation and experience, individuals can successfully pass the exam and earn the Databricks-Certified-Data-Engineer-Associate certification.

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Databricks Databricks-Certified-Data-Engineer-Associate Exam Preparation Guide and PDF Download [Q43-Q66]

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