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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
|
| Topic 2: Secure and govern data using Unity Catalog | 15-20% | - Data governance fundamentals
|
| Topic 3: Prepare and process data | 30-35% | - Data transformation and modeling
|
| Topic 4: Deploy and manage data pipelines and workloads | 30-35% | - Operational reliability
|
Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:
1. 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 Cluster 1. The solution must use Unity Catalog for access control.
What should you do?
A) Install the libraries on Cluster1 and manually restart the cluster.
B) Create a custom dependency management script and run the script from a Databricks notebook.
C) Upload the libraries to Workspace1 and install the libraries on Cluster1.
D) Install the libraries by using pip3.
2. You need to develop the task logic for a new job in Lakeflow Jobs that processes telemetry data.
Each task must contain only the appropriate logic for its step in the pipeline. The solution must support the planned changes and meet the data ingestion and processing requirements.
What should you do?
A) Create separate tasks for ingestion, cleansing, and curation.
B) Use a single SQL task that performs ingestion, cleansing, and curation by running merge commands.
C) Use a single Databricks notebook task that performs ingestion, cleansing, and curation in one script.
D) Create three tasks that each contains the identical logic and use task retries.
3. You have an Azure Databricks workspace that is enabled for Unity Catalog and contains two managed Delta tables named sales.schema1.table1 and sales.schema1.table2.
sales.schema1.table1 contains sales data from the current year.
sales.schema1.table2 contains historical data.
You need to load all the rows from sales.schema1.table1 into sales.schema1.table2. The solution must preserve any existing data in sales.schema1.table2 and minimize processing effort.
Which command should you run?
A) INSERT INTO sales.schema1.table2 SELECT * FROM sales.schema1.table1;
B) CREATE TABLE sales.schema1.table2 AS SELECT * FROM sales.schema1.table1;
C) CREATE OR REPLACE TABLE sales.schema1.table2 AS SELECT * FROM sales.schema1.table1;
D) INSERT OVERWRITE sales.schema1.table2 SELECT * FROM sales.schema1.table1;
4. 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 variables node in a databricks.yml file
B) a resources node in a databricks.yml file
C) a targets node in a databricks.yml file
D) separate databricks.yml files for each environment
5. You have an Azure Databricks workspace that contains an all-purpose cluster named Cluster! You need to configure Cluster1 to meet the following requirements;
* The cluster must scale up automatically when workloads increase.
* The cluster must scale down automatically when workloads decrease.
The solution must minimize costs.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A) Configure Cluster1 to terminate after 30 minutes of inactivity.
B) Enable autoscaling for Cluster1.
C) Disable Photon acceleration.
D) Specify a fixed number of workers.
E) Apply a compute policy that enables users to manage the cluster settings.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: A,B |








