Quiz: ETL/ELT Fundamentals

1. Which of the following best describes the difference between ETL and ELT?

2. What is the primary role of the "Extract" phase in an ETL pipeline?

3. Which scenario is most appropriate for batch processing in a data pipeline?

4. Which component is typically responsible for applying business rules and data cleaning in an ETL pipeline?

5. In a typical ETL pipeline architecture, what is the function of the Loader?

Which of the following best describes the difference between ETL and ELT?

Select the correct answer

ETL and ELT are identical in process but use different programming languages.

In ETL, data is loaded before it is transformed; in ELT, data is transformed before it is loaded.

Both ETL and ELT always transform data after loading.

In ETL, data is transformed before loading into the target system; in ELT, data is loaded first, then transformed within the target system.

What is the primary role of the "Extract" phase in an ETL pipeline?

Select the correct answer

Retrieve data from source systems for further processing

Store data in a staging area

Move data into the data warehouse without changes

Modify and clean data for analysis

Which scenario is most appropriate for batch processing in a data pipeline?

Select the correct answer

Live monitoring of sensor data in a factory

Streaming social media feeds for sentiment analysis

Nightly aggregation of sales records from multiple stores

Real-time fraud detection in financial transactions

Which component is typically responsible for applying business rules and data cleaning in an ETL pipeline?

Select the correct answer

Transformer

Loader

Scheduler

Extractor

In a typical ETL pipeline architecture, what is the function of the Loader?

Select the correct answer

Write processed data to the destination system

Clean and validate data

Schedule data pipeline jobs

Extract data from APIs and files

Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 1. Chapter 3

Ask AI

Ask anything or try one of the suggested questions to begin our chat

Suggested prompts:

Can you explain this in simpler terms?

What are the main points I should remember?

Can you give me an example?

Awesome!

Completion rate improved to 6.67

Quiz: ETL/ELT Fundamentals

Swipe to show menu

1. Which of the following best describes the difference between ETL and ELT?

2. What is the primary role of the "Extract" phase in an ETL pipeline?

3. Which scenario is most appropriate for batch processing in a data pipeline?

4. Which component is typically responsible for applying business rules and data cleaning in an ETL pipeline?

5. In a typical ETL pipeline architecture, what is the function of the Loader?

Which of the following best describes the difference between ETL and ELT?

Select the correct answer

ETL and ELT are identical in process but use different programming languages.

In ETL, data is loaded before it is transformed; in ELT, data is transformed before it is loaded.

Both ETL and ELT always transform data after loading.

In ETL, data is transformed before loading into the target system; in ELT, data is loaded first, then transformed within the target system.

What is the primary role of the "Extract" phase in an ETL pipeline?

Select the correct answer

Retrieve data from source systems for further processing

Store data in a staging area

Move data into the data warehouse without changes

Modify and clean data for analysis

Which scenario is most appropriate for batch processing in a data pipeline?

Select the correct answer

Live monitoring of sensor data in a factory

Streaming social media feeds for sentiment analysis

Nightly aggregation of sales records from multiple stores

Real-time fraud detection in financial transactions

Which component is typically responsible for applying business rules and data cleaning in an ETL pipeline?

Select the correct answer

Transformer

Loader

Scheduler

Extractor

In a typical ETL pipeline architecture, what is the function of the Loader?

Select the correct answer

Write processed data to the destination system

Clean and validate data

Schedule data pipeline jobs

Extract data from APIs and files

Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 1. Chapter 3