Microsoft Implementing Data Engineering Solutions Using Azure Databricks - DP-750 Valid Dumps

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Microsoft DP-750 Exam Syllabus Topics:

SectionWeightObjectives
Prepare and process data30–35%- Optimize and manage data storage
  • 1. Implement lakehouse architecture and manage table versions
  • 2. Handle structured, semi-structured, and unstructured data
  • 3. Optimize Delta tables: partitioning, Z-ordering, vacuum, optimize
- Ingest and transform data
  • 1. Ingest batch and streaming data from multiple sources
  • 2. Transform using Spark SQL, PySpark, Scala, and Delta Lake
  • 3. Implement schema enforcement, schema drift, and slowly changing dimensions
Set up and configure an Azure Databricks environment15–20%- Select and configure compute resources
  • 1. Configure cluster policies, instance pools, and libraries
  • 2. Manage workspace settings, permissions, and networking
  • 3. Choose compute types: serverless, job compute, SQL warehouse, classic compute
- Integrate with Azure services
  • 1. Connect to Azure Data Lake Storage, Azure Data Factory, Microsoft Entra ID
  • 2. Configure monitoring with Azure Monitor and diagnostic settings
Secure and govern Unity Catalog objects15–20%- Manage data sharing and permissions
  • 1. Grant and revoke permissions, manage groups and service principals
  • 2. Set up external locations and storage credentials
- Implement data governance and security
  • 1. Manage catalogs, schemas, tables, views, and volumes
  • 2. Configure access control: row-level, column-level, attribute-based security
  • 3. Enforce data quality, lineage, and auditing
Deploy and maintain data pipelines and workloads30–35%- Monitor, troubleshoot, and maintain workloads
  • 1. Monitor performance, logs, and execution metrics
  • 2. Troubleshoot failures, repair and restart jobs
  • 3. Apply SDLC practices and version control
- Build and orchestrate pipelines
  • 1. Configure Lakeflow Jobs: schedules, triggers, alerts, retries
  • 2. Implement CI/CD with Git, Databricks Asset Bundles, CLI, and APIs
  • 3. Design and implement Lakeflow Spark Declarative Pipelines

Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

Question 1

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


Question 2

You have an Azure Databricks job named Job1 that contains an ingestion task named Task1 and transformation task named Task2. You need to ensure that if Task1 fails, the task retries automatically, and Task2 is prevented from running How should you configure Job1? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


Question 3

You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a Delta table named Sales_orders. Sales.orders stores historical sales data.
You receive a daily CSV file daily that contains new sales records only. The file does NOT contain updates to existing rows You need to load the daily data into Sales.orders. The solution must meet the following requirements:
* Preserve the existing data.
* Add only the new records.
* Minimize processing effort.
Which command should include in the loading strategy?

A. INSERT OVERWRITE
B. UPDATE
C. INSERT INTO


Question 4

You have an Azure Databricks workspace that contains a job in Lakeflow Jobs named Job1.
Job! contains three tasks named Task1, Task2. and Task3.
If Task1 fails, Task2 and Task3 must be prevented from running. Successfully completed tasks must NOT rerun during recovery.
You need to configure Job1 to support controlled failure handling and recovery What should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


Question 5

You have an Azure Databricks workspace named Workspace1 that is attached to a Unity Catalog metastore named metastore1 You need to register an Azure Storage account named account1 that has a hierarchical namespace enabled as an external location The external location must use a managed identity to authenticate to account1 and the solution must follow the principle of least privilege.
Which three actions should you perform in sequence ' To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.


Solutions:

Question 1
Answer: C
Question 2
Answer: Only visible for members
Question 3
Answer: C
Question 4
Answer: Only visible for members
Question 5
Answer: Only visible for members

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