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Microsoft DP-750 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Secure and govern data using Unity Catalog	15-20%	- 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. Data lineage and auditing 2. Catalog, schema, and table management
Topic 2: Configure and manage Azure Databricks environments	15-20%	- Workspace and compute configuration 1. Runtime, Spark, and Photon configuration 2. Cluster types and configuration (job, all-purpose, serverless) 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 data	30-35%	- Data ingestion 1. Batch ingestion using COPY INTO and CTAS 2. Streaming ingestion using Spark Structured Streaming 3. Auto Loader and CDC ingestion patterns - Data transformation and modeling 1. Joins, aggregations, and normalization/denormalization 2. Delta Lake table design and SCD patterns 3. SQL and PySpark transformations - Data quality and validation 1. Pipeline expectations and data quality constraints 2. Handling nulls, duplicates, and missing data 3. Schema enforcement and validation rules
Topic 4: Deploy and manage data pipelines and workloads	30-35%	- Pipeline design and orchestration 1. Databricks Jobs and Workflows 2. Notebook-based vs declarative pipelines - Lakehouse architecture operations 1. Delta Lake optimization and clustering strategies 2. Delta Live Tables pipelines - Operational reliability 1. Monitoring and logging (Azure Monitor integration) 2. Error handling and retries

Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

Question 1

You have an Azure Databricks workspace that is enabled for Unity Catalog and contains two Delta tables named Table1 and Table2 of the same data type.
Table1 contains a column named Columnl. Table2 contains a column named Column2. You run the following query.
SELECT Column1
FROM Table1
GROUP BY Column1
HAVING COUNT( " ) > 1
INTERSECT
SELECT C0lumn2
FROM Table2
GROUP BY Column2
HAVING COUNT( ' ) > 1;
What occurs when you run the query?

A. Values appear in Table more than once.
B. Values appear in either table more than once.
C. Values appear in Table2 but NOT Table1.
D. Values appear in both tables more than once.

Question 2

You have an Azure Databricks workspace that is enabled for Unity Catalog.
You have a Lakeflow Spark Declarative Pipelines (SDP) pipeline that writes numerical data to a table named Table1 by using a data quality validation rule named rule1.
You need to modify rule1 to meet the following requirements:
* Ensure that amount is always greater than 0.
* Fail the pipeline update for Table1 when data that violates rule1 is detected.
Which statement should you execute?

A. @dlt.expect_all_or_drop({ " rule1 " : " amount > 0 " })
B. @dlt.expect( " rule1 " , " amount > 0 " )
C. @dlt.expect_or_drop( " rule1 " , " amount > 0 " )
D. @dlt.expect_or_fail( " rule1 " , " amount > 0 " )

Question 3

You use Declarative Automation Bundles to manage two jobs and an app.
You need to deploy the bundle to development and production environments. The solution must meet the following requirements:
* Deploy the app to both environments.
* Deploy only one job to development.
* Minimize administrative effort.
What should you use?

A. separate databricks.yml files for each environment
B. a resources node in a databricks.yml file
C. a variables node in a databricks.yml file
D. a targets node in a databricks.yml file

Question 4

You have an Azure Databricks workspace that is enabled for Unity Catalog.
You need to ensure that data lineage is captured and can be reviewed for tables accessed by Databricks notebooks and jobs. The solution must minimize administrative effort.
Which compute configuration should you use to capture the data lineage, and what should you use to review the data lineage? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Question 5

You have an Azure Databticks workspace that is enabled for Unity Catalog and contains a catalog named catalog1.
You have a group named group!
You plan to create a schema named schema1 in catalog1.
You need to ensure that group1 meets the following requirements:
* Can create tables in schema1
* Can modify and query tables
* Cannot grant permissions for the schema and its objects
How should you complete the SQL statements? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.