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

  • Exam Code: DP-750
  • Exam Name: Implementing Data Engineering Solutions Using Azure Databricks
  • Updated: Nov 02, 2026
  • Q&As: 110 Questions and Answers

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Microsoft DP-750 Exam Syllabus Topics:

SectionWeightObjectives
Secure and govern data using Unity Catalog15-20%- Access control and policies
  • 1. Tags and policy enforcement
    • 2. Attribute-based access control (ABAC)
      • 3. Row-level and column-level security
        - 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. Databricks Jobs and Workflows
                      • 2. Notebook-based vs declarative pipelines
                        Configure and manage Azure Databricks environments15-20%- Security and authentication setup
                        • 1. Access control for compute resources
                          • 2. Azure Key Vault integration
                            • 3. Service principals and managed identities
                              - Workspace and compute configuration
                              • 1. Runtime, Spark, and Photon configuration
                                • 2. Autoscaling, termination, and performance tuning
                                  • 3. Cluster types and configuration (job, all-purpose, serverless)
                                    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 transformation and modeling
                                          • 1. Delta Lake table design and SCD patterns
                                            • 2. SQL and PySpark transformations
                                              • 3. Joins, aggregations, and normalization/denormalization
                                                - Data ingestion
                                                • 1. Streaming ingestion using Spark Structured Streaming
                                                  • 2. Auto Loader and CDC ingestion patterns
                                                    • 3. Batch ingestion using COPY INTO and CTAS

                                                      Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

                                                      Question #1

                                                      You have an Azure Databricks workspace named Workspace1.
                                                      You have a user named User1 who is a non-admin user in Workspace1.
                                                      You need to ensure that User1 can perform the following tasks:
                                                      * Provision clusters of any size.
                                                      * Run Databricks jobs.
                                                      The solution must follow the principle of least privilege.
                                                      What should you do? To answer, drag the appropriate options to the correct requirements. Each option may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

                                                      Reveal Solution  Discussion  0

                                                      Correct Answer:


                                                      Explanation:

                                                      The Allow unrestricted cluster creation entitlement permits a non-admin user to create fully configurable compute resources rather than limiting the user to clusters governed by assigned compute policies. This enables User1 to provision clusters with the required size and configuration without granting the much broader workspace administrator role. Microsoft Learn The CAN RUN job permission permits User1 to execute the applicable Databricks jobs without allowing the user to edit job settings, delete jobs, change permissions, or perform other administrative operations. It is therefore the least-privileged job permission among the provided options.
                                                      The workspace admins role would grant excessive administrative control. Consumer access provides a restricted experience for consuming shared resources and does not authorize unrestricted cluster creation or job execution. The Azure Contributor role operates at the Azure resource-management level and does not grant the required permissions inside the Databricks workspace. Consequently, the unrestricted cluster- creation entitlement and the job-level run permission satisfy the requirements with minimum access.

                                                      Question #2

                                                      You need to configure the telemetry pipeline to support the planned changes for pipeline orchestration and address the resiliency issues.
                                                      What should you do?

                                                      • A. Create a single Databricks notebook that contains all the ingestion, cleansing, and curation logic in sequential cells.
                                                      • B. Use Lakeflow Jobs and define task dependencies between the ingestion, cleansing, and curation tasks.
                                                      • C. Use Azure Data Factory to orchestrate three separate Databricks notebook activities and define the task dependencies between each notebook activity.
                                                      • D. Create three separate jobs and schedule them to run at staggered times.
                                                      Reveal Solution  Discussion  0

                                                      Correct Answer: B  🗳️

                                                      Explanation: Only visible for Free4Dump members. You can sign-up / login (it's free).

                                                      Question #3

                                                      You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a managed Delta table named Table1. Table1 stores customer data.
                                                      You need to implement a data lifecycle solution that meets the following requirements:
                                                      * Deleted data must be recoverable for 30 days to support audits.
                                                      * Data that is older than 30 days must be removed permanently.
                                                      * The solution must minimize administrative effort.
                                                      * The solution must be enforced consistently.
                                                      What should you configure?

                                                      • A. Data retention for Table1
                                                      • B. Scheduled DELETE operations
                                                      • C. Azure Storage lifecycle management
                                                      • D. The data lineage
                                                      Reveal Solution  Discussion  0

                                                      Correct Answer: A  🗳️

                                                      Explanation: Only visible for Free4Dump members. You can sign-up / login (it's free).

                                                      Question #4

                                                      You have an Azure Databricks solution that was developed by multiple engineers and deployed to development, test, and production environments.
                                                      You need to implement an application lifecycle management (ALM) process that meets the following requirements:
                                                      * Deploys and provides source control for Databricks notebooks, workflows, and jobs in a consistent and repeatable way.
                                                      * Parameterizes the target deployment environment.
                                                      What should you include in the solution?

                                                      • A. Git folders and manual promotion
                                                      • B. Declarative Automation Bundles in Git
                                                      • C. The export and import of Databricks workspaces
                                                      • D. Databricks resources managed by using the Databricks Terraform provider
                                                      Reveal Solution  Discussion  0

                                                      Correct Answer: B  🗳️

                                                      Explanation: Only visible for Free4Dump members. You can sign-up / login (it's free).

                                                      Question #5

                                                      You have an Azure Databricks workspace that is enabled for Unity Catalog You have a complex job named Job1 that contains eight tasks. Job! takes multiple hours to complete During the last job run, the final task fails due to a transient issue.
                                                      You need to retry the last task without rerunning tasks that have already completed.
                                                      What should you do?

                                                      • A. Restart Job!
                                                      • B. Update the job parameters.
                                                      • C. Disable and reenable the job schedule.
                                                      • D. Repair the current job run.
                                                      Reveal Solution  Discussion  0

                                                      Correct Answer: D  🗳️

                                                      Explanation: Only visible for Free4Dump members. You can sign-up / login (it's free).

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