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Microsoft DP-750 Exam Syllabus Topics:

Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

1. You have an Azure Databricks workspace.
You have an Azure key vault named kv-secure that stores a secret named storageKey. The value of storageKey is managed and updated by the cloud security team at your company.
You need to enable a Databricks notebook named Notebook 1 to retrieve the value of storageKey securely at runtime. The solution must follow the principle of least privilege and always retrieve the latest value.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

2. You have an Azure Databricks workspace named Workspace1 that contains a cluster named Cluster1.
You need to enable a user named User1 to install a Maven package on all the nodes of Cluster1. The solution must follow the principle of least privilege.
What should you do?

A) Assign User1 the Contributor role for the resource group that contains Workspace1.
B) Grant User1 the CAN MANAGE permission for Cluster1.
C) Assign User1 the workspace admins role for Workspace1.
D) Grant User1 the CAN RESTART permission for Cluster1.

3. You have an Azure Databricks account that contains workspaces enabled for Unity Catalog.
You need to implement audit logging to meet the following requirements:
* Capture audit logs for all the workspaces in the account.
* Retain the audit logs for 90 days.
* Minimize storage and ingestion costs.
The logs will be reviewed only during security investigations and will NOT be queried regularly.
To where should you send the audit logs?

A) Azure Monitor metrics
B) an Azure Storage account
C) Log Analytics
D) Azure Event Hubs

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

5. You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a catalog named Catalog 1. Catalog 1 contains a table named Transactions. Transactions contains the following columns:
* transaction_id
* customet_name
* email address
* credit_card_number
* transaction_amount
You need to ensure that business analysts can query all the tows in the Transactions table. The solution must meet the following requirements:
* Prevent the analysts from seeing the full values in the email_address and credit_catd_number columns.
* Ensure that the analysts can see only the values after the @ character in each email address.
* Ensure that the analysts can see only the last four digits of each credit card number.
* Enable the analysts to query the table without errors.
* Follow the principle of least privilege.
What should you do?

A) Grant the analysts the select permission for the Transactions table and apply column masks to email_address and credit_card_number
B) Grant the analysts the SELECT permission for the Transactions table and implement row-level filters.
C) Grant the analysts the select permission for the Transactions table and apply column-level encryption
D) Grant the analysts the select permission for columns that do NOT contain sensitive data.

Solutions: