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Microsoft DP-750 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Set up and configure an Azure Databricks environment | 15β20% | - Integrate with Azure services
|
| Topic 2: Secure and govern Unity Catalog objects | 15β20% | - Implement data governance and security
|
| Topic 3: Prepare and process data | 30β35% | - Ingest and transform data
|
| Topic 4: Deploy and maintain data pipelines and workloads | 30β35% | - Monitor, troubleshoot, and maintain workloads
|
Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:
You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a managed Delta table named Table1. Table1 stores customer data.
You need to implement a data retention solution that meets the following requirements:
Deleted data must be retained for 30 days to support audits.
Deleted data that is older than 30 days must be removed permanently.
The solution must minimize administrative effort.
Which two properties should you configure? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
- A. delta.autoOptimize.autoCompact
- B. delta.enableDeletionVectors
- C. delta.deletedFileRetentionDuration
- D. delta.logRetentionDuration
- E. delta.timeUntilArchived
Correct Answer: C,D π³οΈ
Explanation: Only visible for Prep4away members. You can sign-up / login (it's free).
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. CREATE TABLE sales.schema1.table2 AS SELECT * FROM sales.schema1.table1;
- B. INSERT OVERWRITE sales.schema1.table2 SELECT * FROM sales.schema1.table1;
- C. INSERT INTO sales.schema1.table2 SELECT * FROM sales.schema1.table1;
- D. CREATE OR REPLACE TABLE sales.schema1.table2 AS SELECT * FROM sales.schema1.table1;
Correct Answer: C π³οΈ
Explanation: Only visible for Prep4away members. You can sign-up / login (it's free).
You have an Azure Databricks workspace that contains a job in Lakeflow Jobs named Job1. Job1 contains multiple tasks.
Failures of non-critical tasks must be logged but must NOT trigger notifications. Notifications must be triggered only when critical tasks have failed, and Job1 has completed You need to configure the job alerting behavior.
What should trigger a notification?
- A. a task failure
- B. task success
- C. job success
- D. a job failure
Correct Answer: D π³οΈ
You have an Azure Databricks workspace that contains the objects shown in the following table.
Name | Type
Catalog1 | Catalog
Schema1 | Schema
Sales1 | Table
Notebook1 | Notebook
Space1 | AI/BI Genie space
Users often use the following words to refer to a sale: transaction, event, order, and invoice.
You need to create a knowledge store. The solution must ensure that when the users use any of the words in Space1, Genie queries the Sales1 table. Any other Genie spaces must remain unaffected.
To which object should you add the instructions?
- A. Space1
- B. Sales1
- C. Notebook1
- D. Schema1
Correct Answer: A π³οΈ
Explanation: Only visible for Prep4away members. You can sign-up / login (it's free).
You have an Azure Databricks workspace that contains a job in Lakeflow Jobs named Job1. Job1 contains multiple tasks.
Failures of non-critical tasks must be logged but must NOT trigger notifications. Notifications must be triggered only when critical tasks have failed, and Job1 has completed You need to configure the job alerting behavior.
What should trigger a notification?
- A. a task failure
- B. task success
- C. job success
- D. a job failure
Correct Answer: D π³οΈ
Explanation: Only visible for Prep4away members. You can sign-up / login (it's free).
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