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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
|
| Topic 2: Deploy and manage data pipelines and workloads | 30-35% | - Operational reliability
|
| Topic 3: Configure and manage Azure Databricks environments | 15-20% | - Security and authentication setup
|
| Topic 4: Prepare and process data | 30-35% | - Data ingestion
|
Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:
1. You have an Azure Databricks workspace named Workspace1 that contains a takehouse and is enabled for Unity Catalog.
You have a connection to a Microsoft SQL Server database named DB1.
You need to expose the schemas and tables of DB1 to meet the following requirements:
* The schemas and tables can be queried in Databricks.
* The schemas and tables appear alongside other Unity Catalog objects.
* The data is NOT copied into Databricks-managed storage.
Solution: You create a new native catalog in Unity Catalog. Does this meet the goal?
A) Yes
B) No
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) COPY INTO
B) Auto Loader
C) file upload
D) Apache Spark read APIs
3. 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.
4. You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a managed Delta table named Sales. Sales stores transaction data and contains the following columns:
* transactionjd (string)
* transaction date (date)
* amount (decimal)
You need to implement the following data quality requirements by using table-level data quality enforcement:
* amount must be greater than 0.
* transaction id must never be null.
* Invalid records must be rejected when data is written to the Sales table.
What should you do?
A) Configure row-level security (RLS) where transactionjd is null or amount is less than or equal to 0.
B) Create a view that filters out rows where transactionjd is null or amount is less than or equal to 0.
C) Add a not null constraint to transactionjd and a check constraint to amount.
D) Use a select statement with where conditions to validate the data before querying.
5. You use Databricks Asset 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) a targets node in a databricks.yml file
B) a variables node in a databricks.yml file
C) a resources node in a databricks.yml file
D) separate databricks.yml files for each environment
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: Only visible for members | Question # 4 Answer: C | Question # 5 Answer: A |
