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Databricks Certified Professional Data Engineer Exam Sample Questions (Q146-Q151):

NEW QUESTION # 146
A table nameduser_ltvis being used to create a view that will be used by data analysts on various teams. Users in the workspace are configured into groups, which are used for setting up data access using ACLs.
Theuser_ltvtable has the following schema:
email STRING, age INT, ltv INT
The following view definition is executed:

An analyst who is not a member of the marketing group executes the following query:
SELECT * FROM email_ltv
Which statement describes the results returned by this query?

A. Only the email and ltv columns will be returned; the email column will contain the string
"REDACTED" in each row.
B. The email and ltv columns will be returned with the values in user itv.
C. The email, age. and ltv columns will be returned with the values in user ltv.
D. Three columns will be returned, but one column will be named "redacted" and contain only null values.
E. Only the email and itv columns will be returned; the email column will contain all null values.

Answer: A

Explanation:
Explanation
The code creates a view called email_ltv that selects the email and ltv columns from a table called user_ltv, which has the following schema: email STRING, age INT, ltv INT. The code alsouses the CASE WHEN expression to replace the email values with the string "REDACTED" if the user is not a member of the marketing group. The user who executes the query is not a member of the marketing group, so they will only see the email and ltv columns, and the email column will contain the string "REDACTED" in each row.
Verified References: [Databricks Certified Data Engineer Professional], under "Lakehouse" section; Databricks Documentation, under "CASE expression" section.

NEW QUESTION # 147
A Databricks SQL dashboard has been configured to monitor the total number of records present in a collection of Delta Lake tables using the following query pattern:
SELECT COUNT (*) FROM table -
Which of the following describes how results are generated each time the dashboard is updated?

A. The total count of records is calculated from the parquet file metadata
B. The total count of rows will be returned from cached results unless REFRESH is run
C. The total count of rows is calculated by scanning all data files
D. The total count of records is calculated from the Hive metastore
E. The total count of records is calculated from the Delta transaction logs

Answer: E

Explanation:
Explanation
https://delta.io/blog/2023-04-19-faster-aggregations-metadata/#:~:text=You%20can%20get%20the%20number,a

NEW QUESTION # 148
The business intelligence team has a dashboard configured to track various summary metrics for retail stories.
This includes total sales for the previous day alongside totals and averages for a variety of time periods. The fields required to populate this dashboard have the following schema:

For Demand forecasting, the Lakehouse contains a validated table of all itemized sales updated incrementally in near real-time. This table named products_per_order, includes the following fields:

Because reporting on long-term sales trends is less volatile, analysts using the new dashboard only require data to be refreshed once daily. Because the dashboard will be queried interactively by many users throughout a normal business day, it should return results quickly and reduce total compute associated with each materialization.
Which solution meets the expectations of the end users while controlling and limiting possible costs?

A. Use Structure Streaming to configure a live dashboard against the products_per_order table within a Databricks notebook.
B. Define a view against the products_per_order table and define the dashboard against this view.
C. Populate the dashboard by configuring a nightly batch job to save the required to quickly update the dashboard with each query.
D. Use the Delta Cache to persists the products_per_order table in memory to quickly the dashboard with each query.

Answer: C

NEW QUESTION # 149
Create a sales database using the DBFS location 'dbfs:/mnt/delta/databases/sales.db/'

A. The sales database can only be created in Delta lake
B. CREATE DATABASE sales LOCATION 'dbfs:/mnt/delta/databases/sales.db/'
C. CREATE DELTA DATABASE sales LOCATION 'dbfs:/mnt/delta/databases/sales.db/'
D. CREATE DATABASE sales FORMAT DELTA LOCATION 'dbfs:/mnt/delta/databases/sales.db/''
E. CREATE DATABASE sales USING LOCATION 'dbfs:/mnt/delta/databases/sales.db/'

Answer: A

Explanation:
Explanation
The answer is
CREATE DATABASE sales LOCATION 'dbfs:/mnt/delta/databases/sales.db/'
Note: with the introduction of the Unity catalog and three-layer namespace usage of SCHEMA and DATABASE is interchangeable

NEW QUESTION # 150
Which of the following developer operations in the CI/CD can only be implemented through a GIT provider when using Databricks Repos.

A. Pull request and review process
B. Create and edit code
C. Trigger Databricks Repos pull API to update the latest version
D. Create a new branch
E. Commit and push code

Answer: A

Explanation:
Explanation
The answer is Pull request and review process, please note: the question is asking for steps that are being implemented in GIT provider not Databricks Repos.
See below diagram to understand the role of Databricks Repos and Git provider plays when building a CI/CD workdlow.
All the steps highlighted in yellow can be done Databricks Repo, all the steps highlighted in Gray are done in a git provider like Github or Azure Devops.
Diagram Description automatically generated

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Top of Form

NEW QUESTION # 151
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