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Exam objectives change, and study material has to keep up. FreeCram updates its DP-750 practice questions throughout 2026, and your Microsoft Implementing Data Engineering Solutions Using Azure Databricks purchase includes 365 days of free updates from day one.

Microsoft DP-750 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Implementing Data Engineering Solutions Using Azure Databricks
Exam Number:DP-750
Related Certifications:Microsoft Certified: Azure Databricks Data Engineer Associate
Available Languages:English
Sample Questions:Microsoft DP-750 Sample Questions
Exam Way:Microsoft certification exam delivered through Pearson VUE testing centers and online proctored exam.
Pre Condition:No mandatory prerequisite exam. Candidates should have experience with Azure Databricks, SQL, Python, data engineering concepts, Unity Catalog, Git, Microsoft Entra ID, Azure Data Factory, and Azure Monitor.
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/implementing-data-engineering-solutions-using-azure-databricks/

Microsoft DP-750 Exam Syllabus Topics:

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

Your Microsoft Implementing Data Engineering Solutions Using Azure Databricks Questions, Answered

The DP-750 exam is the official exam behind the Microsoft Certified: Fabric Data Engineer Associate credential from Microsoft. It sits at the Associate level of the Microsoft certification track. It is also associated with Microsoft Certified: Azure Databricks Data Engineer Associate. The FreeCram practice questions on this page map to the same objectives, so you can measure your readiness before you book a seat.

No mandatory prerequisite exam. Candidates should have experience with Azure Databricks, SQL, Python, data engineering concepts, Unity Catalog, Git, Microsoft Entra ID, Azure Data Factory, and Azure Monitor.

Requirements can change, so confirm the latest details on the official Microsoft exam page before you register.

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The DP-750 syllabus is divided into 4 domains, including Secure and govern Unity Catalog objects (15-20%), Deploy and maintain data pipelines and workloads (30-35%), and Prepare and process data (30-35%). The complete breakdown, with every domain and its subtopics, is listed in the Exam Topics section above — review it line by line and flag the areas where you feel weakest.

Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

You have an Azure Databricks workspace that contains an all-purpose cluster named Cluster! You need to configure Cluster1 to meet the following requirements;
* The cluster must scale up automatically when workloads increase.
* The cluster must scale down automatically when workloads decrease.
The solution must minimize costs.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. Disable Photon acceleration.
  • B. Configure Cluster1 to terminate after 30 minutes of inactivity.
  • C. Enable autoscaling for Cluster1.
  • D. Specify a fixed number of workers.
  • E. Apply a compute policy that enables users to manage the cluster settings.
Reveal Solution  Discussion  0

Correct Answer: B,C  🗳️

Explanation: Only visible for FreeCram members. You can sign-up / login (it's free).

You have an Azure Databricks workspace that is enabled for Unity Catalog and contains two managed Delta tables named sales.schema1.table1 and sales.schema1.table2.
sales.schema1.table1 contains sales data from the current year.
sales.schema1.table2 contains historical data.
You need to load all the rows from sales.schema1.table1 into sales.schema1.table2. The solution must preserve any existing data in sales.schema1.table2 and minimize processing effort.
Which command should you run?

  • A. CREATE TABLE sales.schema1.table2 AS SELECT * FROM sales.schema1.table1;
  • B. INSERT OVERWRITE sales.schema1.table2 SELECT * FROM sales.schema1.table1;
  • C. INSERT INTO sales.schema1.table2 SELECT * FROM sales.schema1.table1;
  • D. CREATE OR REPLACE TABLE sales.schema1.table2 AS SELECT * FROM sales.schema1.table1;
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for FreeCram members. You can sign-up / login (it's free).

You have an Azure Databricks workspace named Workspace1 that contains a takehouse and is enabled for Unity Catalog.
You have a connection to a Microsoft SQL Server database named DB1.
You need to expose the schemas and tables of DB1 to meet the following requirements:
* The schemas and tables can be queried in Databricks.
* The schemas and tables appear alongside other Unity Catalog objects.
* The data is NOT copied into Databricks-managed storage.
Solution: You create a new native catalog in Unity Catalog. Does this meet the goal?

  • A. No
  • B. Yes
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for FreeCram members. You can sign-up / login (it's free).

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.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:
Attribute-based access control (ABAC) in Unity Catalog is implemented through row filters. A row filter is a SQL function registered on a table that evaluates the identity or group membership of the querying user and returns only the rows they ' re entitled to see.
The key functions are CURRENT_USER() (returns the logged-in user ' s email) and IS_ACCOUNT_GROUP_MEMBER() (returns true if the user belongs to a specified group). By building filter logic around these, you create access rules that are data-driven - a user in the ' EMEA ' group sees EMEA rows, a user in ' APAC ' sees APAC rows - without maintaining separate table-level grants per data segment.
This is what distinguishes ABAC from role-based access control: decisions are based on the user ' s attributes evaluated at query time, not on static grant lists. The filter is transparent to end users - they query the table normally and only receive rows the policy allows.
Reference: https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/row-and-column- filters

You have an Azure Databricks workspace that contains a Delta table named Table 1. Table 1 has accumulated obsolete files.
You need to reduce storage costs. The solution must preserve 30 days of time travel history. Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. Run the OPTIMIZE command on Table1
  • B. Reduce the deleted file retention period to one day.
  • C. Set the delta.deletedFileRetentionDuration table property to 10 days
  • D. Run the vacuum command on Table1.
  • E. Set the delta. logRetentionDuration table property to 30 days.
Reveal Solution  Discussion  0

Correct Answer: C,D  🗳️

Explanation: Only visible for FreeCram members. You can sign-up / login (it's free).

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