Microsoft DP-750 real dump : Implementing Data Engineering Solutions Using Azure Databricks

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Microsoft DP-750 Exam Syllabus Topics:

Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

1. You use Databricks Asset Bundles to manage two jobs and an app.
You need to deploy the bundle to development and production environments. The solution must meet the following requirements
* Deploy the app to both environments.
* Deploy only one job to development.
* Minimize administrative effort.
What should you use?

A) a resources node in a databricks.yml file
B) separate databricks.yml files for each environment
C) a variables node in a databricks.yml file
D) a targets node in a databricks.yml file

2. You have an Azure Databricks workspace that contains multiple all-purpose clusters. You discover that some clusters remain idle for long periods after users finish their work. You need to reduce compute costs without affecting active workloads. What should you do?

A) Use spot instances.
B) Configure automatic termination.
C) Enable autoscaling.
D) Convert the clusters into job clusters

3. You have an Azure Databricks workspace that is enabled for Unity Catalog and contains two Delta tables named Table1 and Table2 of the same data type.
Table1 contains a column named Columnl. Table2 contains a column named Column2. You run the following query.
SELECT Column1
FROM Table1
GROUP BY Column1
HAVING COUNT( " ) > 1
INTERSECT
SELECT C0lumn2
FROM Table2
GROUP BY Column2
HAVING COUNT( ' ) > 1;
What occurs when you run the query?

A) Values appear in Table2 but NOT Table1.
B) Values appear in either table more than once.
C) Values appear in both tables more than once.
D) Values appear in Table more than once.

4. You have an Azure Databricks workspace named Workspace! that uses a Git repository. The repository contains a Databricks notebook named Notebook1.
From the main branch, you create a feature branch named Branch! and commit changes to Notebooks Another user commits changes to Notebook1 in main.
When you attempt to merge Branch! into main, the merge fails due to conflicts.
You need to merge Branch! into the main branch. The solution must ensure that Notebook1 includes all the changes from both the branches.
What should you do?

A) Apply the main branch changes to Branch! and resolve the conflicts.
B) From Workspace1, clone Branch! as a new repository.
C) Apply the changes directly to the main branch.
D) From Workspace1, clone the mam branch as a new repository.

5. You have an Azure Databricks workspace that is enabled for Unity Catalog.
You have a Lakeflow Spark Declarative Pipelines (SDP) pipeline that writes numerical data to a table named Table1 by using a data quality validation rule named rule1.
You need to modify rule1 to meet the following requirements:
Ensure that amount is always greater than 0.
Prevent an update to Table1 from being committed when data that violates rule1 is detected.
Which statement should you execute?

A) @dlt.expect_or_fail( " rule1 " , " amount > 0 " )
B) @dlt.expect_or_drop( " rule1 " , " amount > 0 " )
C) @dlt.expect( " rule1 " , " amount > 0 " )
D) @dlt.expect_all_or_drop({ " rule1 " : " amount > 0 " })

Solutions: