[Q24-Q39] Best Quality Databricks Databricks-Certified-Professional-Data-Engineer Exam Questions PassLeaderVCE Realistic Practice Exams [2024]

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Best Quality Databricks Databricks-Certified-Professional-Data-Engineer Exam Questions PassLeaderVCE Realistic Practice Exams [2024]

Critical Information To Databricks Certified Professional Data Engineer Exam Pass the First Time

Databricks is a leading cloud-based data platform that enables organizations to accelerate innovation and achieve their data-driven goals. To showcase their expertise in using the Databricks platform, data professionals can earn the Databricks-Certified-Professional-Data-Engineer (Databricks Certified Professional Data Engineer) certification. Databricks Certified Professional Data Engineer Exam certification is designed to validate the skills and knowledge required to design, build, and maintain data solutions on the Databricks platform.

Databricks Certified Professional Data Engineer (Databricks-Certified-Professional-Data-Engineer) certification exam is designed for data professionals who want to validate their skills and knowledge in building and deploying data engineering solutions using Databricks. Databricks is a unified data analytics platform that provides a collaborative environment for data engineers, data scientists, and business analysts to work together on big data projects. Databricks Certified Professional Data Engineer Exam certification exam covers a range of topics such as data ingestion, data processing, data transformation, and data storage using Databricks.

QUESTION 24
You have accidentally deleted records from a table called transactions, what is the easiest way to restore the records deleted or the previous state of the table? Prior to deleting the version of the table is 3 and after delete the version of the table is 4.

RESTORE TABLE transactions FROM VERSION as of 4

RESTORE TABLE transactions TO VERSION as of 3
C .
1.INSERT INTO OVERWRITE transactions
2.SELECT * FROM transactions VERSION AS OF 3
3.MINUS
4.SELECT * FROM transactions

1.INSERT INTO OVERWRITE transactions
2.SELECT * FROM transactions VERSION AS OF 4
3.INTERSECT
4.SELECT * FROM transactions

COPY OVERWRITE transactions from VERSION as of 3

QUESTION 25
You are noticing job cluster is taking 6 to 8 mins to start which is delaying your job to finish on time, what steps you can take to reduce the amount of time cluster startup time

Setup a second job ahead of first job to start the cluster, so the cluster is ready with re-sources when the job starts

Use All purpose cluster instead to reduce cluster start up time

Reduce the size of the cluster, smaller the cluster size shorter it takes to start the clus-ter

Use cluster pools to reduce the startup time of the jobs

Use SQL endpoints to reduce the startup time

QUESTION 26
Which of the following operations are not supported on a streaming dataset view?
spark.readStream.format(“delta”).table(“sales”).createOrReplaceTempView(“streaming_view”)

SELECT sum(unitssold) FROM streaming_view

SELECT max(unitssold) FROM streaming_view

SELECT id, sum(unitssold) FROM streaming_view GROUP BY id ORDER BY id

SELECT id, count(*) FROM streaming_view GROUP BY id

SELECT * FROM streadming_view ORDER BY id

QUESTION 27
A nightly job ingests data into a Delta Lake table using the following code:

The next step in the pipeline requires a function that returns an object that can be used to manipulate new records that have not yet been processed to the next table in the pipeline.
Which code snippet completes this function definition?
def new_records():

return spark.readStream.table(“bronze”)

return spark.readStream.load(“bronze”)

return spark.read.option(“readChangeFeed”, “true”).table (“bronze”)

QUESTION 28
A new user who currently does not have access to the catalog or schema is requesting access to the customer table in sales schema, but the customer table contains sensitive information, so you have decided to create view on the table excluding columns that are sensitive and granted access to the view GRANT SELECT ON view_name to [email protected] but when the user tries to query the view, gets the error view does not exist. What is the issue preventing user to access the view and how to fix it?

User requires SELECT on the underlying table

User requires to be put in a special group that has access to PII data

User has to be the owner of the view

User requires USAGE privilege on Sales schema

User needs ADMIN privilege on the view

QUESTION 29
You have written a notebook to generate a summary data set for reporting, Notebook was scheduled using the job cluster, but you realized it takes 8 minutes to start the cluster, what feature can be used to start the cluster in a timely fashion so your job can run immediatley?

Setup an additional job to run ahead of the actual job so the cluster is running second job starts

Use the Databricks cluster pools feature to reduce the startup time

Use Databricks Premium edition instead of Databricks standard edition

Pin the cluster in the cluster UI page so it is always available to the jobs

Disable auto termination so the cluster is always running

QUESTION 30
Unity catalog helps you manage the below resources in Databricks at account level

Tables

ML Models

Dashboards

Meta Stores and Catalogs

All of the above

QUESTION 31
What is the underlying technology that makes the Auto Loader work?

Loader

Delta Live Tables

Structured Streaming

DataFrames

Live DataFames

QUESTION 32
To reduce storage and compute costs, the data engineering team has been tasked with curating a series of aggregate tables leveraged by business intelligence dashboards, customer-facing applications, production machine learning models, and ad hoc analytical queries.
The data engineering team has been made aware of new requirements from a customer-facing application, which is the only downstream workload they manage entirely. As a result, an aggregate table used by numerous teams across the organization will need to have a number of fields renamed, and additional fields will also be added.
Which of the solutions addresses the situation while minimally interrupting other teams in the organization without increasing the number of tables that need to be managed?

Send all users notice that the schema for the table will be changing; include in the communication the logic necessary to revert the new table schema to match historic queries.

Configure a new table with all the requisite fields and new names and use this as the source for the customer-facing application; create a view that maintains the original data schema and table name by aliasing select fields from the new table.

Create a new table with the required schema and new fields and use Delta Lake’s deep clone functionality to sync up changes committed to one table to the corresponding table.

Replace the current table definition with a logical view defined with the query logic currently writing the aggregate table; create a new table to power the customer-facing application.

Add a table comment warning all users that the table schema and field names will be changing on a given date; overwrite the table in place to the specifications of the customer-facing application.

QUESTION 33
Which of the below SQL commands creates a session scoped temporary view?

1.CREATE OR REPLACE TEMPORARY VIEW view_name
2.AS SELECT * FROM table_name
(Correct)

1.CREATE OR REPLACE LOCAL TEMPORARY VIEW view_name
2.AS SELECT * FROM table_name

1.CREATE OR REPLACE GLOBAL TEMPORARY VIEW view_name
2.AS SELECT * FROM table_name

1.CREATE OR REPLACE VIEW view_name
2.AS SELECT * FROM table_name

1.CREATE OR REPLACE LOCAL VIEW view_name
2.AS SELECT * FROM table_name

QUESTION 34
Operations team is using a centralized data quality monitoring system, a user can publish data quality metrics through a webhook, you were asked to develop a process to send messages using a webhook if there is atleast one duplicate record, which of the following approaches can be taken to integrate an alert with current data quality monitoring system

Use notebook and Jobs to use python to publish DQ metrics

Setup an alert to send an email, use python to parse email, and publish a webhook message

Setup an alert with custom template

Setup an alert with custom Webhook destination

Setup an alert with dynamic template

QUESTION 35
Review the following error traceback:

Which statement describes the error being raised?

The code executed was PvSoark but was executed in a Scala notebook.

There is no column in the table named heartrateheartrateheartrate

There is a type error because a column object cannot be multiplied.

There is a type error because a DataFrame object cannot be multiplied.

There is a syntax error because the heartrate column is not correctly identified as a column.

QUESTION 36
A Delta table of weather records is partitioned by date and has the below schema:
date DATE, device_id INT, temp FLOAT, latitude FLOAT, longitude FLOAT
To find all the records from within the Arctic Circle, you execute a query with the below filter:
latitude > 66.3
Which statement describes how the Delta engine identifies which files to load?

All records are cached to an operational database and then the filter is applied

The Parquet file footers are scanned for min and max statistics for the latitude column

All records are cached to attached storage and then the filter is applied

The Delta log is scanned for min and max statistics for the latitude column

The Hive metastore is scanned for min and max statistics for the latitude column

QUESTION 37
What are the advantages of the Hashing Features?

Requires the less memory

Less pass through the training data

Easily reverse engineer vectors to determine which original feature mapped to a vector location

QUESTION 38
A newly joined team member John Smith in the Marketing team currently has access read access to sales tables but does not have access to update the table, which of the following commands help you accomplish this?

GRANT UPDATE ON TABLE table_name TO [email protected]

GRANT USAGE ON TABLE table_name TO [email protected]

GRANT MODIFY ON TABLE table_name TO [email protected]

GRANT UPDATE TO TABLE table_name ON [email protected]

GRANT MODIFY TO TABLE table_name ON [email protected]

QUESTION 39
You are asked to debug a databricks job that is taking too long to run on Sunday’s, what are the steps you are going to take to identify the step that is taking longer to run?

A notebook activity of job run is only visible when using all-purpose cluster.

Under Workflow UI and jobs select job you want to monitor and select the run, notebook activity can be viewed.

Enable debug mode in the Jobs to see the output activity of a job, output should be available to view.

Once a job is launched, you cannot access the job’s notebook activity.

Use the compute’s spark UI to monitor the job activity.