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Microsoft DP-750 Exam Syllabus Topics:

Section	Weight	Objectives
Deploy and maintain data pipelines and workloads	30–35%	- Build and orchestrate pipelines 1. Design and implement Lakeflow Spark Declarative Pipelines 2. Implement CI/CD with Git, Databricks Asset Bundles, CLI, and APIs 3. Configure Lakeflow Jobs: schedules, triggers, alerts, retries - 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
Set up and configure an Azure Databricks environment	15–20%	- Select and configure compute resources 1. Choose compute types: serverless, job compute, SQL warehouse, classic compute 2. Manage workspace settings, permissions, and networking 3. Configure cluster policies, instance pools, and libraries - Integrate with Azure services 1. Configure monitoring with Azure Monitor and diagnostic settings 2. Connect to Azure Data Lake Storage, Azure Data Factory, Microsoft Entra ID
Secure and govern Unity Catalog objects	15–20%	- Implement data governance and security 1. Manage catalogs, schemas, tables, views, and volumes 2. Enforce data quality, lineage, and auditing 3. Configure access control: row-level, column-level, attribute-based security - Manage data sharing and permissions 1. Grant and revoke permissions, manage groups and service principals 2. Set up external locations and storage credentials
Prepare and process data	30–35%	- Ingest and transform data 1. Transform using Spark SQL, PySpark, Scala, and Delta Lake 2. Ingest batch and streaming data from multiple sources 3. Implement schema enforcement, schema drift, and slowly changing dimensions - Optimize and manage data storage 1. Handle structured, semi-structured, and unstructured data 2. Implement lakehouse architecture and manage table versions 3. Optimize Delta tables: partitioning, Z-ordering, vacuum, optimize

Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

1. You have an Azure Databricks workspace that contains a job in Lakeflow Jobs named Job1.
Job! processes raw data files stored in Azure Storage.
New files arrive at unpredictable intervals.
You need to ensure that Job1 starts automatically when new files arrive and does NOT consume compute resources when no data is available.
Which type of job trigger should you use?

A) manual
B) continuous
C) file arrival
D) scheduled

2. You have an Azure Databricks workspace that is enabled for Unity Catalog.
You have 500 GB of sales data stored as multiple CSV files in cloud storage.
You plan to load the data into a Delta table.
You need to ingest the bulk data by using a solution that meets the following requirements:
* Minimize how long it takes to implement the solution.
* Minimize the amount of custom code required.
What should you use?

A) Apache Spark read APIs
B) Auto Loader
C) file upload
D) COPY INTO

3. You have an Azure Databricks workspace that uses serverless compute.
You need to ingest data by using Lakeflow Jobs. New records must be processed as soon as they become available.
Which type of job trigger should you use for the ingestion?

A) manual
B) continuous
C) file arrival
D) scheduled

4. 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) Upload the libraries to a Unity Catalog schema and install the libraries on Cluster1.
B) Install the libraries on Cluster1 and manually restart the cluster.
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.

5. You have an Azure Databricks workspace.
You have a streaming table named sales_order that is populated by using a Lakeflow Spark Declarative Pipelines (SDP) pipeline.
You need to create a new streaming table named sales_order_by_city that summarizes sales by city and calculates the total sales per city.
How should you complete the SQL statement? To answer, drag the appropriate values to the correct targets.
Each value 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.
NOTE: Each correct selection is worth one point.