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Last Updated: Jul 28, 2026

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Microsoft DP-750 Exam Syllabus Topics:

SectionWeightObjectives
Prepare and process data30-35%- Data transformation and modeling
  • 1. Joins, aggregations, and normalization/denormalization
    • 2. Delta Lake table design and SCD patterns
      • 3. SQL and PySpark transformations
        - 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 ingestion
              • 1. Streaming ingestion using Spark Structured Streaming
                • 2. Batch ingestion using COPY INTO and CTAS
                  • 3. Auto Loader and CDC ingestion patterns
                    Configure and manage Azure Databricks environments15-20%- 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)
                          - Security and authentication setup
                          • 1. Service principals and managed identities
                            • 2. Azure Key Vault integration
                              • 3. Access control for compute resources
                                Secure and govern data using Unity Catalog15-20%- Access control and policies
                                • 1. Row-level and column-level security
                                  • 2. Attribute-based access control (ABAC)
                                    • 3. Tags and policy enforcement
                                      - Data governance fundamentals
                                      • 1. Catalog, schema, and table management
                                        • 2. Data lineage and auditing
                                          Deploy and manage data pipelines and workloads30-35%- 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
                                                  - Pipeline design and orchestration
                                                  • 1. Notebook-based vs declarative pipelines
                                                    • 2. Databricks Jobs and Workflows

                                                      Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

                                                      1. You have an Azure Databricks workspace that is enabled for Unity Catalog.
                                                      You plan to ingest data from CSV files stored in Azure Data Lake Storage Gen2. New rows are appended frequently.
                                                      You need to implement a data ingestion solution that meets the following requirements:
                                                      * New data must be available in near-real-time (NRT).
                                                      * The data must be stored in managed Delta tables.
                                                      * The solution must minimize custom code and maintenance effort.
                                                      What should you include in the solution?

                                                      A) Auto Loader
                                                      B) an Azure Data Factory pipeline
                                                      C) an external table that references the CSV files
                                                      D) scheduled Apache Spark batch jobs


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


                                                      3. You have an Azure Databricks workspace named Workspace1 that contains a lakehouse 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 Databricks access connector.
                                                      Does this meet the goal?

                                                      A) No
                                                      B) Yes


                                                      4. 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


                                                      5. You have an Azure Databricks workspace that is enabled for Unity Catalog.
                                                      You need to share curated data with an external organization. The solution must meet the following requirements:
                                                      * The organization will use its own compute platform to query the data.
                                                      * Access to the data must be centrally governed by using Unity Catalog.
                                                      * Administrative effort must be minimized.
                                                      What should you do?

                                                      A) Grant workspace access to external users.
                                                      B) Create a SQL warehouse for external users.
                                                      C) Use Delta Sharing.
                                                      D) Create a Lakeflow Connect pipeline.
                                                      E) Create a pipeline to move the data to an SFTP server.


                                                      Solutions:

                                                      Question # 1
                                                      Answer: A
                                                      Question # 2
                                                      Answer: D
                                                      Question # 3
                                                      Answer: A
                                                      Question # 4
                                                      Answer: A
                                                      Question # 5
                                                      Answer: C

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