Databricks-Certified-Professional-Data-Engineer Dumps To Pass Databricks Certification Exam in One Day (Updated 220 Questions) [Q86-Q103]

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Databricks-Certified-Professional-Data-Engineer Dumps To Pass Databricks Certification Exam in One Day (Updated 220 Questions)

Databricks-Certified-Professional-Data-Engineer Exam Brain Dumps – Study Notes and Theory

Databricks-Certified-Professional-Data-Engineer certification exam is a comprehensive test that covers all aspects of data engineering with Databricks. Databricks-Certified-Professional-Data-Engineer exam is designed to test the candidate’s knowledge of Databricks architecture, data engineering concepts, data processing with Databricks, and data storage with Databricks. Databricks-Certified-Professional-Data-Engineer exam also tests the candidate’s ability to design, implement, and maintain data engineering solutions using Databricks.

Databricks Certified Professional Data Engineer (Databricks-Certified-Professional-Data-Engineer) Exam is a certification program designed for individuals who want to demonstrate their expertise in building, deploying, and maintaining data engineering solutions using Databricks. Databricks-Certified-Professional-Data-Engineer exam is intended for data engineers, data architects, and other data professionals who work with large-scale data processing systems and want to validate their skills and knowledge in this area.

NEW QUESTION 86
Which of the following technique can be used to implement fine-grained access control to rows and columns of the Delta table based on the user’s access?

Use Unity catalog to grant access to rows and columns

Row and column access control lists

Use dynamic view functions

Data access control lists

Dynamic Access control lists with Unity Catalog

NEW QUESTION 87
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

NEW QUESTION 88
When you drop a managed table using SQL syntax DROP TABLE table_name how does it impact metadata, history, and data stored in the table?

Drops table from meta store, drops metadata, history, and data in storage.

Drops table from meta store and data from storage but keeps metadata and history in storage

Drops table from meta store, meta data and history but keeps the data in storage

Drops table but keeps meta data, history and data in storage

Drops table and history but keeps meta data and data in storage

NEW QUESTION 89
Question-26. There are 5000 different color balls, out of which 1200 are pink color. What is the maximum
likelihood estimate for the proportion of “pink” items in the test set of color balls?

2.4

24 0

.24

.48

4.8

NEW QUESTION 90
What is the main difference between the silver layer and gold layer in medallion architecture?

Silver optimized to perform ETL, Gold is optimized query performance

Gold is optimized go perform ETL, Silver is optimized for query performance

Silver is copy of Bronze, Gold is a copy of Silver

Silver is stored in Delta Lake, Gold is stored in memory

Silver may contain aggregated data, gold may preserve the granularity of original data

NEW QUESTION 91
Which of the below SQL commands create a Global temporary view?

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

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
(Correct)

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

NEW QUESTION 92
An engineering manager uses a Databricks SQL query to monitor their team’s progress on fixes related to
customer-reported bugs. 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 up-dated each
day?

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

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 run every 1 day from the Jobs UI

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

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

NEW QUESTION 93
Which of the following are stored in the control pane of Databricks Architecture?

Job Clusters

All Purpose Clusters

Databricks Filesystem

Databricks Web Application

Delta tables

NEW QUESTION 94
A data analyst has noticed that their Databricks SQL queries are running too slowly. They claim that this issue
is affecting all of their sequentially run queries. They ask the data engineering team for help. The data
engineering team notices that each of the queries uses the same SQL endpoint, but the SQL endpoint is not
used by any other user.
Which of the following approaches can the data engineering team use to improve the latency of the data
analyst’s queries?

They can increase the maximum bound of the SQL endpoint’s scaling range

They can increase the cluster size of the SQL endpoint

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

They can turn on the Serverless feature for the SQL endpoint and change the Spot In-stance Policy to
“Reliability Optimized”

They can turn on the Serverless feature for the SQL endpoint

NEW QUESTION 95
You are currently working with the application team to setup a SQL Endpoint point, once the team started consuming the SQL Endpoint you noticed that during peak hours as the number of concur-rent users increases you are seeing degradation in the query performance and the same queries are taking longer to run, which of the following steps can be taken to resolve the issue?

They can turn on the Serverless feature for the SQL endpoint.

They can increase the maximum bound of the SQL endpoint’s scaling range.

They can increase the cluster size(2X-Small to 4X-Large) of the SQL endpoint.

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

They can turn on the Serverless feature for the SQL endpoint and change the Spot In-stance Policy from
“Cost optimized” to “Reliability Optimized.”

NEW QUESTION 96
Which of the following is correct for the global temporary view?

global temporary views cannot be accessed once the notebook is detached and attached

global temporary views can be accessed across many clusters

global temporary views can be still accessed even if the notebook is detached and at-tached

global temporary views can be still accessed even if the cluster is restarted

global temporary views are created in a database called temp database

NEW QUESTION 97
While investigating a data issue, you wanted to review yesterday’s version of the table using below command, while querying the previous version of the table using time travel you realized that you are no longer able to view the historical data in the table and you could see it the table was updated yesterday based on the table history(DESCRIBE HISTORY table_name) command what could be the reason why you can not access this data?
SELECT * FROM table_name TIMESTAMP AS OF date_sub(current_date(), 1)

You currently do not have access to view historical data

By default, historical data is cleaned every 180 days in DELTA

A command VACUUM table_name RETAIN 0 was ran on the table

Time travel is disabled

Time travel must be enabled before you query previous data

NEW QUESTION 98
In order to use Unity catalog features, which of the following steps needs to be taken on man-aged/external tables in the Databricks workspace?

Enable unity catalog feature in workspace settings

Migrate/upgrade objects in workspace managed/external tables/view to unity catalog

Upgrade to DBR version 15.0

Copy data from workspace to unity catalog

Upgrade workspace to Unity catalog

NEW QUESTION 99
Which of the following describes a scenario in which a data engineer will want to use a Job cluster instead of
an all-purpose cluster?

An ad-hoc analytics report needs to be developed while minimizing compute costs

A data engineer needs to manually investigate a production error

An automated workflow needs to be run every 30 minutes

A data team needs to collaborate on the development of a machine learning model

A Databricks SQL query needs to be scheduled for upward reporting

NEW QUESTION 100
Which of the following Auto loader structured streaming commands successfully performs a hop from the landing area into Bronze?

1.spark
2..readStream
3..format(“csv”)
4..option(“cloudFiles.schemaLocation”, checkpoint_directory)
5..load(“landing”)
6..writeStream.option(“checkpointLocation”, checkpoint_directory)
7..table(raw)

1.spark
2..readStream
3..format(“cloudFiles”)
4..option(“cloudFiles.format”,”csv”)
5..option(“cloudFiles.schemaLocation”, checkpoint_directory)
6..load(“landing”)
7..writeStream.option(“checkpointLocation”, checkpoint_directory)
8..table(raw)
(Correct)

1.spark
2..read
3..format(“cloudFiles”)
4..option(“cloudFiles.format”,”csv”)
5..option(“cloudFiles.schemaLocation”, checkpoint_directory)
6..load(“landing”)
7..writeStream.option(“checkpointLocation”, checkpoint_directory)
8..table(raw)

1.spark
2..readStream
3..load(rawSalesLocation)
4..writeStream
5..option(“checkpointLocation”, checkpointPath).outputMode(“append”)
6..table(“uncleanedSales”)

1.spark
2..read
3..load(rawSalesLocation)
4..writeStream
5..option(“checkpointLocation”, checkpointPath)
6..outputMode(“append”)
7..table(“uncleanedSales”)

NEW QUESTION 101
Two junior data engineers are authoring separate parts of a single data pipeline notebook. They are working on
separate Git branches so they can pair program on the same notebook simultaneously. A senior data engineer
experienced in Databricks suggests there is a better alternative for this type of collaboration.
Which of the following supports the senior data engineer’s claim?

Databricks Notebooks support commenting and notification comments

Databricks Notebooks support the creation of interactive data visualizations

Databricks Notebooks support real-time co-authoring on a single notebook

Databricks Notebooks support the use of multiple languages in the same notebook

Databricks Notebooks support automatic change-tracking and versioning

NEW QUESTION 102
Which of the following locations hosts the driver and worker nodes of a Databricks-managed clus-ter?

Data plane

Control plane

Databricks Filesystem

Databricks web application

JDBC data source

NEW QUESTION 103
How do you check the location of an existing schema in Delta Lake?

Run SQL command SHOW LOCATION schema_name

Check unity catalog UI

Use Data explorer

Run SQL command DESCRIBE SCHEMA EXTENDED schema_name
E Schemas are internally in-store external hive meta stores like MySQL or SQL Server

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Databricks-Certified-Professional-Data-Engineer Dumps To Pass Databricks Certification Exam in One Day (Updated 220 Questions) [Q86-Q103]

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