Microsoft DP-750 Exam Study Material
Implementing Data Engineering Solutions Using Azure Databricks- 58 Questions & Answers
- Update Date : July 13, 2026
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Question 1
You have an Azure Databricks workspace that is enabled for Unity CatalogYou have a complex job named Job1 that contains eight tasks. Job! takes multiple hours tocompleteDuring the last job run, the final task fails due to a transient issue.You need to retry the last task without rerunning tasks that have already completed.What should you do?
A. Update the job parameters.B. Repair the current job run.
C. Restart Job!
D. Disable and reenable the job schedule
Question 2
You have an Azure Databricks workspace that is enabled for Unity Catalog.You need to recommend a pipeline that ingests files from cloud storage, performscleansing and enrichment transformations, and writes created Delta tables for analytics.The solution must minimize development effort and provide built-in monitoring andautomatic retries.What should you include in the recommendation?
A. an Apache Spark Structured Streaming jobB. a Databricks notebook triggered by a scheduled job
C. a Lakeflow Spark Declarative Pipelines (SDPJ pipeline
D. an Azure Data Factory pipeline that uses data flows
Question 3
You have an Azure Databricks workspace that contains an all-purpose cluster namedCluster1.You discover that out of- memory (OOM) errors intermittently cause jobs running onCluster1 to fail.You need to identify the root cause of the failures by analyzing the runtime executionbehavior. What should you do? To answer, select the appropriate options in the answerarea.NOTE: Each correct selection is worth one point.
Question 4
You have an Azure Databricks workspace that is enabled for Unity Catalog and contains acatalog named Catalog 1. Catalog 1 contains a table named Transactions. Transactionscontains the following columns:• transaction_id• customet_name• email address• credit_card_number• transaction_amountYou 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 andcredit_catd_number columns.• Ensure that the analysts can see only the values after the @ character in each emailaddress.• 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 implement row-level filters.B. Grant the analysts the select permission for columns that do NOT contain sensitive data.
C. Grant the analysts the select permission for the Transactions table and apply column masks to email_address and credit_card_number
D. Grant the analysts the select permission for the Transactions table and apply columnlevel encryption
Question 5
You have an Azure Databricks workspace that is enabled for Unity Catalog.You have a Lakeflow Spark Declarative Pipelines (SDP) pipeline that writes records to aDelta table named Table1 by using a data quality rule named rule1You need to meet the following requirements:• Records that violate rule! must NOT be written to Table1. but the pipeline must continueprocessing valid records.• Data engineers must be able to review expectation metrics by using minimal developmenteffort.What should you do? To answer, select the appropriate options in the answer area.NOTE: Each correct selection is worth one point.