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Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

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 Column1. Table2 contains a column named Column2.
You run the following query.
SELECT Colum1
FROM Table1
GROUP BY Column1
HAVING COUNT(*) > 1
INTERSECT
SELECT Column2
FROM Table2
GROUP BY Column2
HAVING COUNT(*) > 1;
What occurs when you run the query?

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

2. Hotspot Question
You have an Azure Databricks workspace that contains a job in Lakeflow Jobs named Job1.
Job1 runs every hour.
Occasionally, the job run takes longer than one hour to complete. Overlapping runs must be prevented to avoid data corruption.
You need to configure the job scheduling behavior.
What should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

3. 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 targets node in a databricks.yml file
C) separate databricks.yml files for each environment
D) a resources node in a databricks.yml file

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

5. You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a catalog named Catalog1. Catalog1 contains a table named Transactions. Transactions contains the following columns:
- transaction_id
- customer_name
- email_address
- credit_card_number
- transaction_amount
You need to ensure that business analysts can query all the rows in the Transactions table. The solution must meet the following requirements:
- Prevent the analysts from seeing the full values in the email_address and credit_card_number columns.
- Ensure that the analysts can see only the values after the @
character in each email address.
- Ensure that the analysts can see only the last four digits of each
credit card number.
- Enable the analysts to query the table without errors.
- Follow the principle of least privilege.
What should you do?

A) Grant the analysts the SELECT permission for the Transactions table and apply column masks to email_address and credit_card_number.
B) Grant the analysts the SELECTpermission for the Transactions table and apply column-level encryption.
C) Grant the analysts the SELECT permission for columns that do NOT contain sensitive data.
D) Grant the analysts the SELECTpermission for the Transactions table and implement row-level filters.

Solutions: