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Microsoft Certified: Fabric Data Engineer Associate DP-750 Braindumps

DP-750

Exam Code: DP-750

Exam Name: Implementing Data Engineering Solutions Using Azure Databricks

Updated: Sep 10, 2026

Q & A: 93 Questions and Answers

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Microsoft DP-750 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Set up and configure an Azure Databricks environment15–20%- Integrate with Azure services
  • 1. Connect to Azure Data Lake Storage, Azure Data Factory, Microsoft Entra ID
  • 2. Configure monitoring with Azure Monitor and diagnostic settings
- Select and configure compute resources
  • 1. Manage workspace settings, permissions, and networking
  • 2. Configure cluster policies, instance pools, and libraries
  • 3. Choose compute types: serverless, job compute, SQL warehouse, classic compute
Topic 2: Prepare and process data30–35%- Optimize and manage data storage
  • 1. Optimize Delta tables: partitioning, Z-ordering, vacuum, optimize
  • 2. Implement lakehouse architecture and manage table versions
  • 3. Handle structured, semi-structured, and unstructured data
- Ingest and transform data
  • 1. Implement schema enforcement, schema drift, and slowly changing dimensions
  • 2. Ingest batch and streaming data from multiple sources
  • 3. Transform using Spark SQL, PySpark, Scala, and Delta Lake
Topic 3: Deploy and maintain data pipelines and workloads30–35%- Build and orchestrate pipelines
  • 1. Configure Lakeflow Jobs: schedules, triggers, alerts, retries
  • 2. Design and implement Lakeflow Spark Declarative Pipelines
  • 3. Implement CI/CD with Git, Databricks Asset Bundles, CLI, and APIs
- Monitor, troubleshoot, and maintain workloads
  • 1. Troubleshoot failures, repair and restart jobs
  • 2. Monitor performance, logs, and execution metrics
  • 3. Apply SDLC practices and version control
Topic 4: Secure and govern Unity Catalog objects15–20%- Manage data sharing and permissions
  • 1. Set up external locations and storage credentials
  • 2. Grant and revoke permissions, manage groups and service principals
- Implement data governance and security
  • 1. Manage catalogs, schemas, tables, views, and volumes
  • 2. Configure access control: row-level, column-level, attribute-based security
  • 3. Enforce data quality, lineage, and auditing

Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

Question #1

You have an Azure Databricks workspace that is enabled for Unity Catalog.
You have a complex job named Job1 that contains eight tasks. Job1 takes multiple hours to complete.
During 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. Restart Job1.
C. Disable and reenable the job schedule.
D. Repair the current job run.


Question #2

You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a catalog named CatalogV Catalog1 contains a schema named Schema! and a table named Table1.
You need to ensure that access to the data in Table1 is controlled by using attribute based access control (ABAC).
What should you apply to Table1, and how should you control access for users? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


Question #3

You have an Azure Databricks workspace that contains a job in Lakeflow Jobs named Job1.
Job! runs every hour.
Occasionally, the job run takes longer than one hour to complete. Overlapping runs must be prevented to avoid data corruption.
You need to configure the job scheduling behavior.
What should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


Question #4

You have an Azure Databricks workspace that is enabled for Unity Catalog.
You need to implement a data lifecycle and expiration solution that meets the following requirements
* Transaction logs and deleted data files that are older than 90 days must be removed from Delta tables to reclaim storage.
* All the tables must remain available for querying during the cleanup process.
* Administrative effort must be minimized
What should you do for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


Question #5

You have an Azure Databricks workspace that is enabled for Unity Catalog You have a complex job named Job1 that contains eight tasks. Job! takes multiple hours to complete During 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. Disable and reenable the job schedule.
C. Repair the current job run.
D. Restart Job!


Solutions:

Question #1
Answer: D
Question #2
Answer: Only visible for members
Question #3
Answer: Only visible for members
Question #4
Answer: Only visible for members
Question #5
Answer: C

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