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Day 28 - AutoML Quiz

Here’s your chance to prove what you learned

Ready? Let’s test your Day-28 knowledge

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Question 1 of 4

 

What is the primary advantage of using AutoML over traditional manual machine learning workflows?

A

AutoML always produces more accurate models than manual approaches

B

AutoML significantly reduces development time by automating repetitive tasks

C

AutoML requires no data preparation or cleaning whatsoever

D

AutoML eliminates the need for data scientists completely

Question 2 of 4

 

Which of the following best describes the role of AutoML in hyperparameter tuning?

A

It removes the need for hyperparameters entirely

B

It tests various combinations of hyperparameters automatically to find optimal settings

C

It requires users to manually specify all hyperparameters

D

It uses the same hyperparameters for all machine learning models

Question 3 of 4

 

What is a significant limitation of AutoML compared to manual machine learning approaches?

A

AutoML cannot handle datasets larger than 1GB

B

AutoML typically provides less customization for specialized domains or unique problems

C

AutoML only works with numerical data, not text or images

D

AutoML requires more computing power than manual approaches

Question 4 of 4

In which scenario would a manual machine learning workflow likely be more appropriate than AutoML?

A

When working with a standard classification problem and a clean, well-structured dataset

B

When needing quick results for a proof-of-concept project

C

When dealing with a complex, niche dataset requiring specialized domain knowledge and custom feature engineering

D

When working with limited computing resources on a small dataset

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