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

  • Exam Code: DP-750
  • Exam Name: Implementing Data Engineering Solutions Using Azure Databricks
  • Updated: Jul 30, 2026
  • Q & A: 93 Questions and Answers

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Microsoft DP-750 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Configure and manage Azure Databricks environments15-20%- Workspace and compute configuration
  • 1. Runtime, Spark, and Photon configuration
    • 2. Autoscaling, termination, and performance tuning
      • 3. Cluster types and configuration (job, all-purpose, serverless)
        - Security and authentication setup
        • 1. Access control for compute resources
          • 2. Service principals and managed identities
            • 3. Azure Key Vault integration
              Topic 2: Deploy and manage data pipelines and workloads30-35%- Operational reliability
              • 1. Monitoring and logging (Azure Monitor integration)
                • 2. Error handling and retries
                  - 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
                          Topic 3: Secure and govern data using Unity Catalog15-20%- Data governance fundamentals
                          • 1. Data lineage and auditing
                            • 2. Catalog, schema, and table management
                              - Access control and policies
                              • 1. Row-level and column-level security
                                • 2. Tags and policy enforcement
                                  • 3. Attribute-based access control (ABAC)
                                    Topic 4: Prepare and process data30-35%- Data quality and validation
                                    • 1. Pipeline expectations and data quality constraints
                                      • 2. Handling nulls, duplicates, and missing data
                                        • 3. Schema enforcement and validation rules
                                          - Data transformation and modeling
                                          • 1. SQL and PySpark transformations
                                            • 2. Delta Lake table design and SCD patterns
                                              • 3. Joins, aggregations, and normalization/denormalization
                                                - Data ingestion
                                                • 1. Auto Loader and CDC ingestion patterns
                                                  • 2. Streaming ingestion using Spark Structured Streaming
                                                    • 3. Batch ingestion using COPY INTO and CTAS

                                                      Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

                                                      1. You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a Delta table named db1.sales_orders.
                                                      dbl sales_orders is updated nightly and has change data feed (CDF) enabled.
                                                      You need to ingest all the changes from the dbl.sales.ordets table, including inserts, updates, and deletes, into a downstream pipeline.
                                                      How should you complete the PsySpark code segment? To answer, select the appropriate options in the answer area.
                                                      NOTE: Each correct selection is worth one point.


                                                      2. 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.


                                                      3. You use Declarative Automation Bundles to manage two jobs and an app.
                                                      You need to deploy the bundle to development and production environments. The solution must meet the following requirements:
                                                      * Deploy the app to both environments.
                                                      * Deploy only one job to development.
                                                      * Minimize administrative effort.
                                                      What should you use?

                                                      A) a resources node in a databricks.yml file
                                                      B) a targets node in a databricks.yml file
                                                      C) a variables node in a databricks.yml file
                                                      D) separate databricks.yml files for each environment


                                                      4. You have an Azure Databricks workspace that is enabled for Unity Catalog You have a complex job named Job1 that contains eight tasks. Job! takes multiple hours to complete During the last job run, the final task fails due to a transient issue.
                                                      You need to retry the last task without rerunning tasks that have already completed.
                                                      What should you do?

                                                      A) Disable and reenable the job schedule.
                                                      B) Restart Job!
                                                      C) Repair the current job run.
                                                      D) Update the job parameters.


                                                      5. You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a Delta table named Sales_orders. Sales.orders stores historical sales data.
                                                      You receive a daily CSV file daily that contains new sales records only. The file does NOT contain updates to existing rows You need to load the daily data into Sales.orders. The solution must meet the following requirements:
                                                      * Preserve the existing data.
                                                      * Add only the new records.
                                                      * Minimize processing effort.
                                                      Which command should include in the loading strategy?

                                                      A) UPDATE
                                                      B) INSERT INTO
                                                      C) INSERT OVERWRITE


                                                      Solutions:

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

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