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Microsoft DP-750 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Configure and manage Azure Databricks environments	15-20%	- Security and authentication setup 1. Access control for compute resources 2. Azure Key Vault integration 3. Service principals and managed identities - 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
Topic 2: Secure and govern data using Unity Catalog	15-20%	- Data governance fundamentals 1. Catalog, schema, and table management 2. Data lineage and auditing - Access control and policies 1. Row-level and column-level security 2. Tags and policy enforcement 3. Attribute-based access control (ABAC)
Topic 3: Deploy and manage data pipelines and workloads	30-35%	- Operational reliability 1. Monitoring and logging (Azure Monitor integration) 2. Error handling and retries - Lakehouse architecture operations 1. Delta Lake optimization and clustering strategies 2. Delta Live Tables pipelines - Pipeline design and orchestration 1. Notebook-based vs declarative pipelines 2. Databricks Jobs and Workflows
Topic 4: Prepare and process data	30-35%	- Data ingestion 1. Auto Loader and CDC ingestion patterns 2. Batch ingestion using COPY INTO and CTAS 3. Streaming ingestion using Spark Structured Streaming - Data transformation and modeling 1. SQL and PySpark transformations 2. Joins, aggregations, and normalization/denormalization 3. Delta Lake table design and SCD patterns - Data quality and validation 1. Pipeline expectations and data quality constraints 2. Handling nulls, duplicates, and missing data 3. Schema enforcement and validation rules

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Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions (Q32-Q37):

NEW QUESTION # 32
You have an Azure Databricks workspace that is attached to a Unity Catalog metastore named metastore1, metastore1 contains a catalog named catalog1.
You need to create a new schema named schema2 that meets the following requirements:
- Is contained in catalog1
- Uses abfss://container@storageaccount.dfs.core.windows.net/data as
the managed location
Which SQL statement should you execute?

A. CREATE SCHEMA catalog1.schema2
WITH DBPROPERTIES
(LOCATION-'abfss://container@storageaccount.dfs.core.windows.net/data');
B. CREATE SCHEMA catalog1.schema2
MANAGED LOCATION 'abfss://container@storageaccount.dfs.core.windows.net/data';
C. CREATE CATALOG schema2
MANAGED LOCATION 'abfss://container@storageaccount.dfs.core.windows.net/data';
D. CREATE SCHEMA catalog1.schema2
LOCATION 'abfss://container@storageaccount.dfs.core.windows.net/data';

Answer: B

Explanation:
To create a new schema with a specific managed location in Azure Databricks Unity Catalog, use the CREATE SCHEMA command.
CREATE SCHEMA catalog_name.schema_name
MANAGED LOCATION 'abfss://container@storageaccount.dfs.core.windows.net/data'; Catalog Name: Replace catalog_name with your existing catalog.
Schema Name: Replace schema_name with your desired new schema name.Quotes: The storage path must be enclosed in single quotes.
Privileges: You must have CREATE SCHEMA privileges on the parent catalog and ownership (or adequate permissions) on the external location.
Reference:
https://dev.to/encorepartners/creating-your-first-catalog-schema-and-tables-in-databricks-20p3

NEW QUESTION # 33
You have an Azure Databricks workspace that is enabled for Unity Catalog and contains:
A catalog named Finance
A schema named Purchases in the Finance catalog
A table named Transactions in the Purchases schema
You need to ensure that a user named finance_user can query the Transactions table. The solution must follow the principle of least privilege.
Which permission should you grant to finance_user for each object? To answer, drag the appropriate permissions to the correct objects. Each permission 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.

Answer:

Explanation:

Explanation:
The Finance catalog: USE CATALOG
The Purchases schema: USE SCHEMA
The Transactions table: SELECT

NEW QUESTION # 34
You have an Azure Databricks workspace that is enabled for Unity Catalog and contains:
A catalog named Corpdb
A schema named Finance in the Corpdb catalog
A table named Sales in the Finance schema
You have a group named Analysts.
You assign the following permissions to Analysts:
USE CATALOG on the Corpdb catalog
USE SCHEMA on the Finance schema
SELECT on the Sales table
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

The Analysts group can query the Sales table because it has all three privileges required by the Unity Catalog hierarchy: USE CATALOG on Corpdb, USE SCHEMA on Finance, and SELECT on Sales. These permissions allow the group to navigate through the catalog and schema and read the table. However, USE SCHEMA does not grant permission to create tables. Creating a table in Finance would additionally require CREATE TABLE on that schema. Similarly, USE CATALOG only permits access to the catalog; it does not permit schema creation. Creating a schema in Corpdb would require the CREATE SCHEMA privilege on the catalog. Therefore, only the first statement is true.

NEW QUESTION # 35
You have an Azure Databricks workspace that contains multiple all-purpose clusters.
You discover that some clusters remain idle for long periods after users finish their work.
You need to reduce compute costs without affecting active workloads.
What should you do?

A. Configure automatic termination.
B. Convert the clusters into job clusters.
C. Enable autoscaling.
D. Use spot instances.

Answer: A

Explanation:
To reduce compute costs from idle clusters without impacting active workloads, you must configure Auto-Termination and use Cluster Policies.
Core Remedies
*-> Auto-Termination: Set a strict inactivity timeout (e.g., 20-30 minutes) on all-purpose clusters to automatically shut them down when idle.
Cluster Policies: Enforce maximum auto-termination limits across the workspace so users cannot disable or set excessively long idle timeouts.
Single User Access Mode: Use this mode where possible, as it tracks idleness more accurately than Shared mode by monitoring the specific user's activity.
Reference:
https://medium.com/@sujathamudadla1213/databricks-lakehouse-platform-describe-how- clusters-are-terminated-and-the-impact-of-terminating-a-b6236689fd2e

NEW QUESTION # 36
You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a Delta table named Table1. Table! is used as a dimension table and contains the following columns:
* id
* name
* address
Vou need to apply a Type 1 slowly changing dimension (SCD) approach when updates are processed in the name and address columns.
What will occur when an update is processed?

A. The value of the id column will be updated.
B. A new row will be added for each change to a name and address.
C. Historical versions of the row and its effective dates will be retained.
D. The existing name and address values will be overwritten.

Answer: D

Explanation:
A Type 1 slowly changing dimension maintains only the current state of each dimension record. When the name or address associated with an existing id changes, the corresponding values in the existing row are overwritten with the new values. The previous name and address values are not retained, and no additional historical row or validity-period columns are created. Microsoft Learn The id column acts as the identifier used to locate the existing dimension record; it is not the attribute being changed in this scenario. Adding a new row for every change and preserving the earlier row with effective dates describes a Type 2 SCD implementation. Type 2 supports historical and point-in-time analysis, whereas Type 1 is appropriate when only the latest attribute values are required or when previous values do not need to be audited.
Therefore, when updates to name or address are processed using SCD Type 1, the existing values are replaced, and Table1 retains only the latest version of the record.

NEW QUESTION # 37
......

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