Pass your actual test at first attempt with Microsoft DP-750 training material
Updated: Jul 30, 2026
No. of Questions: 93 Questions & Answers with Testing Engine
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| Certification Vendor: | Microsoft |
| Exam Name: | Implementing Data Engineering Solutions Using Azure Databricks |
| Exam Number: | DP-750 |
| Passing Score: | 700 |
| Available Languages: | English |
| Exam Duration: | 100 minutes |
| Exam Format: | Multiple choice, Case studies, Scenario-based questions, Interactive items |
| Related Certifications: | Microsoft Certified: Azure Data Engineer Associate (DP-203) Microsoft Certified: Fabric Data Engineer Associate (DP-700) |
| Recommended Training: | DP-750 Training Course (DP-750T00) Microsoft Learn DP-750 Study Guide |
| Exam Registration: | Official Microsoft Certification Page Pearson VUE Exam Scheduling |
| Sample Questions: | Microsoft DP-750 Sample Questions |
| Exam Way: | Online proctored exam via Pearson VUE |
| Pre Condition: | Recommended experience with Azure Databricks, SQL, Python, and basic Azure services (Entra ID, Data Factory, Key Vault, Azure Storage). |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/implementing-data-engineering-solutions-using-azure-databricks/ |
| Section | Weight | Objectives |
|---|---|---|
| Secure and govern data using Unity Catalog | 15-20% | - Data governance fundamentals
|
| Configure and manage Azure Databricks environments | 15-20% | - Workspace and compute configuration
|
| Deploy and manage data pipelines and workloads | 30-35% | - Pipeline design and orchestration
|
| Prepare and process data | 30-35% | - Data ingestion
|
1. You have an Azure Databricks workspace that is enabled for Unity Catalog.
You have 500 GB of sales data stored as multiple CSV files in cloud storage.
You plan to load the data into a Delta table.
You need to ingest the bulk data by using a solution that meets the following requirements:
* Minimize how long it takes to implement the solution.
* Minimize the amount of custom code required.
What should you use?
A) COPY INTO
B) Auto Loader
C) Apache Spark read APIs
D) file upload
2. 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) rebase
B) pull
C) Push
D) merge
3. You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a managed Delta table named Sales. Sales stores transaction data and contains the following columns:
* transactionjd (string)
* transaction date (date)
* amount (decimal)
You need to implement the following data quality requirements by using table-level data quality enforcement:
* amount must be greater than 0.
* transaction id must never be null.
* Invalid records must be rejected when data is written to the Sales table.
What should you do?
A) Add a not null constraint to transactionjd and a check constraint to amount.
B) Use a select statement with where conditions to validate the data before querying.
C) Configure row-level security (RLS) where transactionjd is null or amount is less than or equal to 0.
D) Create a view that filters out rows where transactionjd is null or amount is less than or equal to 0.
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 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
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: Only visible for members | Question # 5 Answer: B |
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