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Microsoft DP-750 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Secure and govern Unity Catalog objects	15–20%	- Manage data sharing and permissions 1. Set up external locations and storage credentials 2. Grant and revoke permissions, manage groups and service principals - Implement data governance and security 1. Configure access control: row-level, column-level, attribute-based security 2. Manage catalogs, schemas, tables, views, and volumes 3. Enforce data quality, lineage, and auditing
Topic 2: Set up and configure an Azure Databricks environment	15–20%	- 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 - Select and configure compute resources 1. Choose compute types: serverless, job compute, SQL warehouse, classic compute 2. Configure cluster policies, instance pools, and libraries 3. Manage workspace settings, permissions, and networking
Topic 3: Deploy and maintain data pipelines and workloads	30–35%	- Build and orchestrate pipelines 1. Design and implement Lakeflow Spark Declarative Pipelines 2. Configure Lakeflow Jobs: schedules, triggers, alerts, retries 3. Implement CI/CD with Git, Databricks Asset Bundles, CLI, and APIs - 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
Topic 4: Prepare and process data	30–35%	- Ingest and transform data 1. Implement schema enforcement, schema drift, and slowly changing dimensions 2. Ingest batch and streaming data from multiple sources 3. Transform using Spark SQL, PySpark, Scala, and Delta Lake - 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:

Question #1

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 SCHEMA catalog1.schema2
WITH DBPROPERTIES (LOCATION= ' abfss://[email protected]/data
' );
B. CREATE CATALOG schema2
MANAGED LOCATION ' abfss://[email protected]/data ' ;
C. CREATE SCHEMA catalog1.schema2
MANAGED LOCATION ' abfss://[email protected]/data ' ;
D. CREATE SCHEMA catalog1.schema2
LOCATION ' abfss://[email protected]/data ' ;

Reveal Solution Discussion 0

Correct Answer: C 🗳️