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Microsoft DP-750 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Prepare and process data30-35%- 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. Batch ingestion using COPY INTO and CTAS
          • 2. Auto Loader and CDC ingestion patterns
            • 3. Streaming ingestion using Spark Structured Streaming
              - 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. Catalog, schema, and table management
                            • 2. Data lineage and auditing
                              Topic 3: Configure and manage Azure Databricks environments15-20%- Security and authentication setup
                              • 1. Azure Key Vault integration
                                • 2. Service principals and managed identities
                                  • 3. Access control for compute resources
                                    - 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
                                          Topic 4: Deploy and manage data pipelines and workloads30-35%- Lakehouse architecture operations
                                          • 1. Delta Lake optimization and clustering strategies
                                            • 2. Delta Live Tables pipelines
                                              - Operational reliability
                                              • 1. Monitoring and logging (Azure Monitor integration)
                                                • 2. Error handling and retries
                                                  - 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 and a remote Git repository named Repo1. Repo1 contains two branches named main and Branch1.
                                                      You are on a development team that works in Repo1.
                                                      You commit changes to Branch1 and must merge the changes into main.
                                                      Before completing the merge, you need to meet the following requirements:
                                                      * Ensure that Branch1 includes the changes committed to main since Branch1 was created.
                                                      * Ensure that merge conflicts are detected and resolved.
                                                      What should you do first?

                                                      A) Merge main into Branch1.
                                                      B) Create a pull request for Branch1.
                                                      C) Pull the latest changes from main.
                                                      D) Pull the latest changes from Branch1.


                                                      2. You have an Azure Databricks workspace that is enabled for Unity Catalog. You plan to run the following PySpark code.

                                                      For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.


                                                      3. 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) Auto Loader
                                                      B) Apache Spark read APIs
                                                      C) file upload
                                                      D) COPY INTO


                                                      4. 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 foreign catalog in Catalog Explorer.
                                                      Does this meet the goal?

                                                      A) No
                                                      B) Yes


                                                      5. You use Databricks Asset 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 targets node in a databricks.yml file
                                                      B) a variables node in a databricks.yml file
                                                      C) separate databricks.yml files for each environment
                                                      D) a resources node in a databricks.yml file


                                                      Solutions:

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

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