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Microsoft DP-750 Exam Syllabus Topics:

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

                                                      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 managed Delta table named Sales. Sales stores transaction data and contains the following columns:
                                                      * transactionjd (string)
                                                      * transaction date (date)
                                                      * amount (decimal)
                                                      You need to implement the following data quality requirements by using table-level data quality enforcement:
                                                      * amount must be greater than 0.
                                                      * transaction id must never be null.
                                                      * Invalid records must be rejected when data is written to the Sales table.
                                                      What should you do?

                                                      A) Configure row-level security (RLS) where transactionjd is null or amount is less than or equal to 0.
                                                      B) Add a not null constraint to transactionjd and a check constraint to amount.
                                                      C) Create a view that filters out rows where transactionjd is null or amount is less than or equal to 0.
                                                      D) Use a select statement with where conditions to validate the data before querying.


                                                      2. You have an Azure Databricks workspace.
                                                      You need to ingest streaming data from Azure Event Hubs by using Apache Spark Structured Streaming The solution must authenticate to Event Hubs and read the event payload.
                                                      How should you complete the PySpark code segment? To answer, select the appropriate options in the answer area.
                                                      NOTE: Each correct selection is worth one point.


                                                      3. You have an Azure Databricks workspace that contains a Delta table named Table 1. Table 1 has accumulated obsolete files.
                                                      You need to reduce storage costs. The solution must preserve 30 days of time travel history. Which two actions should you perform? Each correct answer presents part of the solution.
                                                      NOTE: Each correct selection is worth one point.

                                                      A) Run the vacuum command on Table1.
                                                      B) Set the delta.deletedFileRetentionDuration table property to 10 days
                                                      C) Reduce the deleted file retention period to one day.
                                                      D) Run the OPTIMIZE command on Table1
                                                      E) Set the delta. logRetentionDuration table property to 30 days.


                                                      4. You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a managed Delta table named Table1.
                                                      Table1 stores customer profile data.
                                                      Business users must analyze how customer profile records change over time. They must also be able to query earlier versions of the table.
                                                      You need to implement a solution that:
                                                      * Maintains persistent historical versions of customer profile records for long-term analysis.
                                                      * Allows users to query earlier versions of the Delta table.
                                                      * Minimizes maintenance effort.
                                                      What should you do? To answer, select the appropriate options in the answer area.
                                                      NOTE: Each correct selection is worth one point.


                                                      5. You have an Azure Databricks workspace that is enabled for Unity Catalog.
                                                      You plan to create a job in Lakeflow Jobs named Job1 that:
                                                      * Ingests data from cloud storage
                                                      * Runs two independent transformation tasks
                                                      The transformation tasks must run only after the ingestion completes and must run in parallel.
                                                      You need to design the task logic for Job1.
                                                      What should you configure?

                                                      A) independent tasks with no defined dependencies
                                                      B) two ingestion tasks, each followed by a transformation task
                                                      C) One ingestion task with two parallel downstream transformation tasks
                                                      D) a single task that performs ingestion and transformations sequentially


                                                      Solutions:

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

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