Question 1

1. What is the primary advantage of naming partitioned files dynamically based on column data in ADF?

Accepted Answer

It helps in better file organization and identification.

Answer

It allows for real-time data processing without any delay.

Answer

It automatically generates machine learning models.

Answer

It reduces the cost of Azure storage.

Question 2

2. In Azure Data Factory, which transformation is used to partition data based on specific column values?

Accepted Answer

Mapping Data Flow

Answer

Lookup Activity

Answer

Aggregate Activity

Answer

Copy Activity

Question 3

3. How can dynamic file naming improve the management of daily sales reports?

Accepted Answer

By creating files named with the specific date, making retrieval easier.

Answer

By encrypting the file contents for security.

Answer

By reducing the number of files generated.

Answer

By automatically sending files to stakeholders via email.

Question 4

4. Which component in ADF is primarily used to set dynamic expressions for file naming?

Accepted Answer

Sink transformation in Mapping Data Flow

Answer

Triggered Pipeline Run

Answer

Source transformation in Copy Activity

Answer

Data Flow Debug Mode

Question 5

5. What potential issue should be considered when dynamically naming files in large data flows?

Accepted Answer

It can impact performance if not optimized properly.

Answer

It always requires manual intervention after every run.

Answer

It disables automatic scaling in Azure Data Factory.

Answer

It only works with JSON file formats.

Question 6

6. What type of expression is commonly used in ADF for dynamic content generation in file names?

Accepted Answer

String interpolation or concatenation

Answer

Conditional IF statements

Answer

Time-based triggers

Answer

Mathematical SUM functions

Question 7

7. In which scenario is dynamic partitioning particularly useful in a data analytics pipeline?

Accepted Answer

When categorizing log files by date or event type for analysis.

Answer

When importing data from a single source like Excel.

Answer

When generating a single summary report with static data.

Answer

When sending raw data to Power BI directly.

Question 8

8. How does using dynamic file naming benefit data retrieval in Azure storage?

Accepted Answer

It allows for more intuitive searching and retrieval based on meaningful file names.

Answer

It converts all data to binary format to reduce search time.

Answer

It automatically compresses the files for faster retrieval.

Answer

It prevents files from being deleted accidentally.

Question 9

9. What configuration is necessary to ensure dynamic file naming works as expected in ADF?

Accepted Answer

Correct schema mapping and sink settings in the data flow.

Answer

Setting up multiple linked services for each file type.

Answer

Ensuring all data is pre-loaded into a single blob container.

Answer

Configuring user roles with administrative access.

Question 10

10. Which Azure Data Factory feature would you use to debug and validate dynamic file naming expressions?

Accepted Answer

Data Flow Debug Mode

Answer

Azure Data Lake Storage Gen2 Analytics

Answer

Pipeline Activity Monitor

Answer

SQL Server Integration Runtime

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