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Microsoft DP-750 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Implementing Data Engineering Solutions Using Azure Databricks |
| Exam Number: | DP-750 |
| Available Languages: | English |
| Related Certifications: | Microsoft Certified: Azure Databricks Data Engineer Associate |
| 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:
| Section | Weight | Objectives |
|---|---|---|
| Deploy and maintain data pipelines and workloads | 30-35% | - Manage production workloads
|
| Set up and configure an Azure Databricks environment | 15-20% | - Create and configure Azure Databricks workspaces
|
| Prepare and process data | 30-35% | - Ingest and transform data
|
| Secure and govern Unity Catalog objects | 15-20% | - Implement governance and security
|
DP-750 Exam FAQ: Save Time, Read This
Microsoft Implementing Data Engineering Solutions Using Azure Databricks is an official Microsoft certification exam, listed under the code DP-750. Passing it earns the Microsoft Certified: Fabric Data Engineer Associate certification at the Associate level. It also ties into Microsoft Certified: Azure Databricks Data Engineer Associate. In an era of lifelong learning, this credential is one of the most efficient ways to prove your skills keep pace.
The Microsoft Implementing Data Engineering Solutions Using Azure Databricks syllabus is organized into 4 domains, led by Set up and configure an Azure Databricks environment (15-20%), Secure and govern Unity Catalog objects (15-20%), and Prepare and process data (30-35%). The complete breakdown is above on this page; it is the fastest way to learn where your limited preparation hours belong.
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.
Vendor policies are revised periodically, so verify the current requirements before registering via the official exam page.
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Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:
You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a catalog named finance, finance contains two schemas named default and procurement.
You need to create a table named assets in the procurement schema, assets must contain the following columns:
* asset.id
* asset, type
* asset_name
How should you complete the SQL statement? To answer, drag the appropriate values to the correct targets.
Each value may be used once, more than once, or not at all You may need to drag the split bar between panes or scroll to view content NOTE: Each correct selection is worth one point.
Correct Answer:

Explanation:
The correct SQL statement uses the full three-part namespace finance.procurement.assets with the three specified columns.
In Unity Catalog, every object lives in a three-tier hierarchy: catalog # schema # table. Using the full path finance.procurement.assets guarantees the table lands in the right schema regardless of the session ' s current catalog or schema context. Omitting the catalog or schema name relies on the session default, which may not be finance.procurement - a silent mistake that ' s hard to catch.
The column names asset_id, asset_type, and asset_name must match the spec exactly. Unity Catalog applies access controls, lineage tracking, and tagging at the column level, so the names are meaningful beyond just the schema. Once created, any GRANT statements can target specific columns for fine-grained access control.
Reference: https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-create- table-using
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. Yes
- B. No
Correct Answer: B 🗳️
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You have an Azure Databricks workspace that uses Unity Catalog.
You have a Lakeflow Spark Declarative Pipelines (SDP) pipeline that ingests data into a managed Delta table named Table1. Table1 is used for analytics.
New columns are added to the source data, causing pipeline failures during writes to Table1.
You need to prevent the pipeline failures. The solution must ensure that schema changes are detected and handled.
What should you do?
- A. Enable schema evolution.
- B. Disable schema enforcement for Table1.
- C. Use row filters to exclude records that have new columns.
- D. Create a separate table for each schema version.
Correct Answer: A 🗳️
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You have an Azure Databricks workspace that contains a Git folder and uses Azure Repos as the Git provider.
From the main branch, you create a branch named Branch1. You commit changes to Branch1.
You need to incorporate the changes from Branch1 into main The solution must preserve the commit history in the repository. Which command should you run?
- A. pull
- B. rebase
- C. Push
- D. merge
Correct Answer: D 🗳️
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You have an Azure Databricks workspace that contains a job in Lakeflow Jobs named Job1. Job1 contains multiple tasks.
Failures of non-critical tasks must be logged but must NOT trigger notifications. Notifications must be triggered only when critical tasks have failed, and Job1 has completed You need to configure the job alerting behavior.
What should trigger a notification?
- A. a job failure
- B. task success
- C. job success
- D. a task failure
Correct Answer: A 🗳️
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Thanks for DP-750 study questions and answers!! Very nice stuff, passed exam today!