Microsoft DP-750 : Implementing Data Engineering Solutions Using Azure Databricks

DP-750 real exams

Exam Code: DP-750

Exam Name: Implementing Data Engineering Solutions Using Azure Databricks

Updated: Oct 30, 2026

Q & A: 110 Questions and Answers

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Microsoft DP-750 Exam Syllabus Topics:

SectionWeightObjectives
Deploy and manage data pipelines and workloads30-35%- Pipeline design and orchestration
  • 1. Databricks Jobs and Workflows
    • 2. Notebook-based vs declarative pipelines
      - Lakehouse architecture operations
      • 1. Delta Live Tables pipelines
        • 2. Delta Lake optimization and clustering strategies
          - Operational reliability
          • 1. Error handling and retries
            • 2. Monitoring and logging (Azure Monitor integration)
              Configure and manage Azure Databricks environments15-20%- Security and authentication setup
              • 1. Access control for compute resources
                • 2. Azure Key Vault integration
                  • 3. Service principals and managed identities
                    - Workspace and compute configuration
                    • 1. Autoscaling, termination, and performance tuning
                      • 2. Runtime, Spark, and Photon configuration
                        • 3. Cluster types and configuration (job, all-purpose, serverless)
                          Prepare and process data30-35%- Data transformation and modeling
                          • 1. Joins, aggregations, and normalization/denormalization
                            • 2. SQL and PySpark transformations
                              • 3. Delta Lake table design and SCD patterns
                                - Data quality and validation
                                • 1. Pipeline expectations and data quality constraints
                                  • 2. Schema enforcement and validation rules
                                    • 3. Handling nulls, duplicates, and missing data
                                      - Data ingestion
                                      • 1. Streaming ingestion using Spark Structured Streaming
                                        • 2. Batch ingestion using COPY INTO and CTAS
                                          • 3. Auto Loader and CDC ingestion patterns
                                            Secure and govern data using Unity Catalog15-20%- Access control and policies
                                            • 1. Tags and policy enforcement
                                              • 2. Attribute-based access control (ABAC)
                                                • 3. Row-level and column-level security
                                                  - Data governance fundamentals
                                                  • 1. Data lineage and auditing
                                                    • 2. Catalog, schema, and table management

                                                      Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

                                                      Question #1

                                                      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
                                                      Reveal Solution  Discussion  0

                                                      Correct Answer: B  🗳️

                                                      Explanation: Only visible for Prep4pass members. You can sign-up / login (it's free).

                                                      Question #2

                                                      You need to recommend a compute type for the production ingestion workloads and BI workloads. The solution must meet the environment and compute requirements.
                                                      What should you recommend for each type of workload? 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:
                                                      Production ingestion: Job compute
                                                      BI: Serverless SQL warehouse
                                                      Job compute is designed for automated production workloads executed through Lakeflow Jobs. Its lifecycle can be tied to the job run, providing workload isolation and avoiding the cost of maintaining an interactive all- purpose cluster continuously. It is therefore appropriate for scheduled ingestion and transformation processing. A serverless SQL warehouse is designed for BI and Databricks SQL workloads. It provides rapid startup, automatic infrastructure management, scaling, and optimized SQL-query execution for dashboards and reporting tools. All-purpose compute is intended primarily for interactive notebook development and exploration, while shared compute does not provide the same job-specific isolation or SQL- serving experience. Consequently, job compute should support production ingestion, and a serverless SQL warehouse should serve the BI workload.

                                                      Question #3

                                                      You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a Delta table named Orders.
                                                      You load the Orders table into an Apache Spark DataFrame named df.
                                                      You need to create a DataFrame that excludes rows where the order amount is null.
                                                      Solution: You run the following expression.
                                                      df.filter(df.order_amount.isNotNull())
                                                      Does this meet the goal?

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

                                                      Correct Answer: A  🗳️

                                                      Explanation: Only visible for Prep4pass members. You can sign-up / login (it's free).

                                                      Question #4

                                                      You have an Azure Databricks account that contains workspaces enabled for Unity Catalog.
                                                      You need to implement audit logging to meet the following requirements:
                                                      * Capture audit logs for all the workspaces in the account.
                                                      * Retain the audit logs for 90 days.
                                                      * Minimize storage and ingestion costs.
                                                      The logs will be reviewed only during security investigations and will NOT be queried regularly.
                                                      To where should you send the audit logs?

                                                      • A. an Azure Storage account
                                                      • B. Log Analytics
                                                      • C. Azure Event Hubs
                                                      • D. Azure Monitor metrics
                                                      Reveal Solution  Discussion  0

                                                      Correct Answer: A  🗳️

                                                      Explanation: Only visible for Prep4pass members. You can sign-up / login (it's free).

                                                      Question #5

                                                      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. file upload
                                                      • B. Apache Spark read APIs
                                                      • C. Auto Loader
                                                      • D. COPY INTO
                                                      Reveal Solution  Discussion  0

                                                      Correct Answer: D  🗳️

                                                      Explanation: Only visible for Prep4pass members. You can sign-up / login (it's free).

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