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Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

1. What improves join performance for small lookup tables?

A) Broadcast join
B) Cartesian join
C) Sort merge join
D) Shuffle join

2. Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem.
After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.
You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a Delta table named Orders.
You load the Orders table into an Apache Spark DataFrame named df.
You need to create a DataFrame that excludes rows where the order amount is null.
Solution: You run the following expression.
df.filter(df.order_amount != None)
Does this meet the goal?

A) No
B) Yes

3. Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem.
After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.
You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a Delta table named Orders.
You load the Orders table into an Apache Spark DataFrame named df.
You need to create a DataFrame that excludes rows where the order amount is null.
Solution: You run the following expression.
df.fillna(0, subset=['order_amount'])
Does this meet the goal?

A) No
B) Yes

4. You need to ingest real-time IoT data into Delta Lake with exactly-once guarantees. Which approach should you use?

A) Batch ingestion using ADF
B) Structured Streaming with checkpointing
C) Manual ingestion using notebooks
D) Copy activity with retry policy

5. Which Azure service is best integrated with Databricks Unity Catalog for centralized data governance?

A) Azure DevTest Labs
B) Microsoft Purview
C) Azure Key Vault
D) Azure Automation

Solutions: