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

DP-750

Exam Code: DP-750

Exam Name: Implementing Data Engineering Solutions Using Azure Databricks

Updated: Oct 09, 2026

Q & A: 93 Questions and Answers

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Microsoft DP-750 Exam Syllabus Topics:

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

                                                      Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

                                                      Question #1
                                                      You have an Azure Databricks workspace that is attached to a Unity Catalog metastore named metastore1.
                                                      Metastore1 contains a catalog named catalog 1.
                                                      You need to create a new schema named schema2 that meets the following requirements:
                                                      * Is contained in catalog1
                                                      * Uses abfss://containergstorageaccount.dfs.core.windows.net/data as the Managed location Which SQL statement should you execute?

                                                      A. CREATE CATALOG schema2
                                                      MANAGED LOCATION ' abfss://[email protected]/data ' ;
                                                      B. CREATE SCHEMA catalog1.schema2
                                                      WITH DBPROPERTIES (LOCATION= ' abfss://[email protected]/data
                                                      ' );
                                                      C. CREATE SCHEMA catalog1.schema2
                                                      MANAGED LOCATION ' abfss://[email protected]/data ' ;
                                                      D. CREATE SCHEMA catalog1.schema2
                                                      LOCATION ' abfss://[email protected]/data ' ;


                                                      Question #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.


                                                      Question #3
                                                      You have an Azure Databricks workspace that is enabled for Unity Catalog.
                                                      You need to implement a daily batch data process that requires complex and highly customized Python transformations. The solution must minimize additional complexity.
                                                      What should you include in the solution?

                                                      A. a continuous job in Lakeflow Jobs
                                                      B. an Azure Data Factory pipeline that has data flows
                                                      C. a Lakeflow Spark Declarative Pipelines (SDP) pipeline
                                                      D. a Databricks notebook triggered by a job


                                                      Question #4
                                                      You have an Azure Databricks workspace named Workspace1 that contains a cluster named Cluster1.
                                                      You need to enable a user named User1 to install a Maven package on all the nodes of Cluster1. The solution must follow the principle of least privilege.
                                                      What should you do?

                                                      A. Assign User1 the workspace admins role for Workspace1.
                                                      B. Assign User1 the Contributor role for the resource group that contains Workspace1.
                                                      C. Grant User1 the CAN RESTART permission for Cluster1.
                                                      D. Grant User1 the CAN MANAGE permission for Cluster1.


                                                      Question #5
                                                      You manage Declarative Automation Bundles by using the Databricks CLI.
                                                      You run the following command in a terminal window.
                                                      databricks bundle init
                                                      What occurs when you run the command?

                                                      A. The bundle configuration is validated.
                                                      B. Bundle-defined resources are deployed to the Databricks workspace.
                                                      C. A new Declarative Automation Bundles project structure is created.
                                                      D. Jobs or pipelines defined in the bundle are run.


                                                      Solutions:

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

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