Microsoft DP-750 dumps - in .pdf

DP-750 pdf
  • Exam Code: DP-750
  • Exam Name: Implementing Data Engineering Solutions Using Azure Databricks
  • Updated: Aug 05, 2026
  • Q & A: 93 Questions and Answers
  • PDF Price: $59.99

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  • Exam Code: DP-750
  • Exam Name: Implementing Data Engineering Solutions Using Azure Databricks
  • Updated: Aug 05, 2026
  • Q & A: 93 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $119.98  $79.99
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Microsoft DP-750 dumps - Testing Engine

DP-750 Testing Engine
  • Exam Code: DP-750
  • Exam Name: Implementing Data Engineering Solutions Using Azure Databricks
  • Updated: Aug 05, 2026
  • Q & A: 93 Questions and Answers
  • Software Price: $59.99
  • Testing Engine

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Microsoft DP-750 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Deploy and maintain data pipelines and workloads30-35%- Manage production workloads
  • 1. Optimize workload performance and reliability
  • 2. Deploy workloads using Databricks Asset Bundles
  • 3. Create and manage Lakeflow Jobs
  • 4. Implement CI/CD processes
  • 5. Integrate Git-based development workflows
  • 6. Maintain production data engineering solutions
  • 7. Monitor and troubleshoot pipelines
Topic 2: Set up and configure an Azure Databricks environment15-20%- Create and configure Azure Databricks workspaces
  • 1. Manage Databricks runtimes
  • 2. Configure networking and connectivity
  • 3. Configure compute resources and clusters
  • 4. Configure workspace settings
Topic 3: Prepare and process data30-35%- Ingest and transform data
  • 1. Implement Delta Lake tables
  • 2. Implement data quality controls
  • 3. Use Auto Loader and batch ingestion
  • 4. Optimize storage and table performance
  • 5. Transform data using SQL and Python
  • 6. Apply medallion architecture patterns
  • 7. Model and partition data
  • 8. Implement streaming data processing
Topic 4: Secure and govern Unity Catalog objects15-20%- Implement governance and security
  • 1. Implement access control and permissions
  • 2. Configure Unity Catalog
  • 3. Implement data-sharing capabilities
  • 4. Manage catalogs, schemas, and tables
  • 5. Manage data lineage and auditing

Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

1. You have an Azure Databricks workspace that is enabled for Unity Catalog.
You plan to create a job in Lakeflow Jobs named Job1 that:
* Ingests data from cloud storage
* Runs two independent transformation tasks
The transformation tasks must run only after the ingestion completes and must run in parallel.
You need to design the task logic for Job1.
What should you configure?

A) two ingestion tasks, each followed by a transformation task
B) independent tasks with no defined dependencies
C) a single task that performs ingestion and transformations sequentially
D) One ingestion task with two parallel downstream transformation tasks


2. You have an Azure Databricks workspace that is enabled for Unity Catalog.
You need to ensure that data lineage is captured and can be reviewed for tables accessed by Databricks notebooks and jobs. The solution must minimize administrative effort.
Which compute configuration should you use to capture the data lineage, and what should you use to review the data lineage? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


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


4. You have an Azure Databricks workspace.
You need to ingest streaming data from Azure Event Hubs by using Apache Spark Structured Streaming The solution must authenticate to Event Hubs and read the event payload.
How should you complete the PySpark code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


5. You have an Azure Databticks workspace that is enabled for Unity Catalog and contains a catalog named catalog1.
You have a group named group!
You plan to create a schema named schema1 in catalog1.
You need to ensure that group1 meets the following requirements:
* Can create tables in schema1
* Can modify and query tables
* Cannot grant permissions for the schema and its objects
How should you complete the SQL statements? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


Solutions:

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

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