Total points 3
1.
Question 1
What is the purpose of ETL pipelines?

1 / 1 point

To codify and automate the workflow it takes to produce a machine learning model.


To make batch predictions.


> To extract data from data sources, transforming, and loading it into an output destination.

Correct
Well done!

2.
Question 2
True or False: In distributed processing, latency increases because data is split into chunks and parallely processed by multiple workers.

1 / 1 point

> False


True

Correct
Absolutely!

3.
Question 3
Which of the following engines perform ETL on data? (Select all that apply)

1 / 1 point

Data Lake


> Apache spark

Correct
Thas't right!


> Google Cloud DataFlow

Correct
Right!