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

                                                      Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

                                                      Question 1

                                                      You have an Azure Databricks workspace that uses Databricks SQL.
                                                      You have a table named sales_goals_source that contains the following columns:
                                                      * Salesperson
                                                      * Item
                                                      * 2019
                                                      * 2020
                                                      * 2021
                                                      You need to transform the year columns into rows and return the columns Salesperson, Item, Year, and Value.
                                                      How should you complete the SQL statement? To answer, select the appropriate options in the answer area.
                                                      NOTE: Each correct selection is worth one point.
                                                      SELECT Salesperson, Item, Year, Value
                                                      FROM sales_goals_source
                                                      UNPIVOT
                                                      (
                                                      Value FOR [first dropdown] IN [second dropdown]
                                                      );


                                                      Question 2

                                                      You need to develop the task logic for a new job in Lakeflow Jobs that processes telemetry data.
                                                      Each task must contain only the appropriate logic for its step in the pipeline. The solution must support the planned changes and meet the data ingestion and processing requirements.
                                                      What should you do?

                                                      A. Use a single Databricks notebook task that performs ingestion, cleansing, and curation in one script.
                                                      B. Create three tasks that each contains the identical logic and use task retries.
                                                      C. Create separate tasks for ingestion, cleansing, and curation.
                                                      D. Use a single SQL task that performs ingestion, cleansing, and curation by running merge commands.


                                                      Question 3

                                                      You have an Azure Databricks workspace that is enabled for Unity Catalog.
                                                      You need to create an external volume named Volume1 in an existing schema. Volume1 must expose files from an Azure Storage container. The solution must meet the following requirements:
                                                      * Ensure that authentication does NOT require storing credentials in Databricks
                                                      * Ensure that users can access the files, but NOT modify the files.
                                                      * Follow the principle of least privilege
                                                      Which type of authentication should you configure, and which permission should you grant to the users? To answer, select the appropriate options in the answer area.
                                                      NOTE: Each correct selection is worth one point.


                                                      Question 4

                                                      You have an Azure Databricks workspace that contains an all-purpose cluster named Cluster! You need to configure Cluster1 to meet the following requirements;
                                                      * The cluster must scale up automatically when workloads increase.
                                                      * The cluster must scale down automatically when workloads decrease.
                                                      The solution must minimize costs.
                                                      Which two actions should you perform? Each correct answer presents part of the solution.
                                                      NOTE: Each correct selection is worth one point.

                                                      A. Specify a fixed number of workers.
                                                      B. Apply a compute policy that enables users to manage the cluster settings.
                                                      C. Enable autoscaling for Cluster1.
                                                      D. Disable Photon acceleration.
                                                      E. Configure Cluster1 to terminate after 30 minutes of inactivity.


                                                      Question 5

                                                      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. Set the delta.deletedFileRetentionDuration table property to 10 days
                                                      B. Run the vacuum command on Table1.
                                                      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.


                                                      Solutions:

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

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