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Microsoft DP-750 exam : Implementing Data Engineering Solutions Using Azure Databricks

DP-750 Exam Simulator
  • Exam Code: DP-750
  • Exam Name: Implementing Data Engineering Solutions Using Azure Databricks
  • Updated: Oct 30, 2026
  • Q & A: 110 Questions and Answers
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Microsoft DP-750 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Deploy and manage data pipelines and workloads30-35%- Lakehouse architecture operations
  • 1. Delta Live Tables pipelines
    • 2. Delta Lake optimization and clustering strategies
      - Pipeline design and orchestration
      • 1. Notebook-based vs declarative pipelines
        • 2. Databricks Jobs and Workflows
          - Operational reliability
          • 1. Error handling and retries
            • 2. Monitoring and logging (Azure Monitor integration)
              Topic 2: 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. Service principals and managed identities
                      • 2. Access control for compute resources
                        • 3. Azure Key Vault integration
                          Topic 3: Prepare and process data30-35%- Data quality and validation
                          • 1. Handling nulls, duplicates, and missing data
                            • 2. Pipeline expectations and data quality constraints
                              • 3. Schema enforcement and validation rules
                                - Data transformation and modeling
                                • 1. Delta Lake table design and SCD patterns
                                  • 2. Joins, aggregations, and normalization/denormalization
                                    • 3. SQL and PySpark transformations
                                      - Data ingestion
                                      • 1. Batch ingestion using COPY INTO and CTAS
                                        • 2. Auto Loader and CDC ingestion patterns
                                          • 3. Streaming ingestion using Spark Structured Streaming
                                            Topic 4: 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

                                                      Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

                                                      Question #1

                                                      You have an Azure Databricks workspace that is enabled for Unity Catalog.
                                                      You need to profile a table to meet the following requirements:
                                                      The count of null values per column must be evaluated repeatedly as new records are added to the table.
                                                      Changes in the count of null values must be observable over the progression of the dataset.
                                                      Which type of profile should you create?

                                                      • A. inference
                                                      • B. snapshot
                                                      • C. time series
                                                      Reveal Solution  Discussion  0

                                                      Correct Answer: C  🗳️

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

                                                      Question #2

                                                      You have an Azure Databricks workspace named Workspace1.
                                                      You create a compute cluster named Cluser1 that will be used to ingest data.
                                                      You need to install the required libraries on Cluster1. The solution must use Unity Catalog for access control.
                                                      What should you do?

                                                      • A. Install the libraries on Cluster1 and manually restart the cluster.
                                                      • B. Upload the libraries to a Unity Catalog schema and install the libraries on Cluster1.
                                                      • C. Install the libraries by using pip from a notebook attached to Cluster1.
                                                      • D. Upload the libraries to a Unity Catalog volume and install the libraries on Cluster1.
                                                      Reveal Solution  Discussion  0

                                                      Correct Answer: D  🗳️

                                                      Explanation: Only visible for ITExamSimulator 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. The data lineage
                                                      • B. Data retention for Table1
                                                      • C. Azure Storage lifecycle management
                                                      • D. Scheduled DELETE operations
                                                      Reveal Solution  Discussion  0

                                                      Correct Answer: B  🗳️

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

                                                      Question #4

                                                      You have an Azure Databricks workspace that is attached to a Unity Catalog metastore named metastore1.
                                                      Metastore1 contains a catalog named catalog 1.
                                                      You need to create a new schema named schema2 that meets the following requirements:
                                                      * Is contained in catalog1
                                                      * Uses abfss://containergstorageaccount.dfs.core.windows.net/data as the Managed location Which SQL statement should you execute?

                                                      • A. CREATE CATALOG schema2MANAGED LOCATION ' abfss://[email protected].
                                                        windows.net/data ' ;
                                                      • B. CREATE SCHEMA catalog1.schema2LOCATION ' abfss://[email protected].
                                                        windows.net/data ' ;
                                                      • C. CREATE SCHEMA catalog1.schema2MANAGED LOCATION ' abfss://container@storageaccount.
                                                        dfs.core.windows.net/data ' ;
                                                      • D. CREATE SCHEMA catalog1.schema2WITH DBPROPERTIES (LOCATION= '
                                                        abfss://[email protected]/data ' );
                                                      Reveal Solution  Discussion  0

                                                      Correct Answer: C  🗳️

                                                      Explanation: Only visible for ITExamSimulator 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 CSV file stored in an Azure Data Lake Storage Gen2 container.
                                                      You plan to ingest the data into an existing table by running the following SQL statement:
                                                      COPY INTO Customer
                                                      FROM ' abfss://[email protected]/data/customer ' FILEFORMAT = CSV; You need to ensure that the statement can access the data in the container.
                                                      What should you configure?

                                                      • A. A Lakeflow ingestion gateway
                                                      • B. A volume in a catalog
                                                      • C. An external table named Customer that uses the CSV file format
                                                      • D. An external location that uses a storage credential
                                                      Reveal Solution  Discussion  0

                                                      Correct Answer: D  🗳️

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

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