AI for Everyone correct answer: Week 2 Exam
Questions with Answers
1. Machine learning is an "iterative" process, meaning that an AI
team often has to try many ideas before coming up with something
that's good enough, rather than have the first thing they try work.
correct answer: True
2. Say you want to use Machine Learning to help your sales team with
automatic lead sorting. I.e., Input A (a sales prospect) and output B
(whether your sales team should prioritize them). The 3 steps of the
workflow, in scrambled order, are correct answer:
(i)Deploy a trained model and get data back from users
(ii)Collect data with both A and B
(iii)Train a machine learning system to input A and
output B What is the correct ordering of these steps?
correct answer: (ii) (iii) (i)
3. What are the key steps of a Data Science project? correct answer: All
of the above
4. Machine Learning programs can help correct answer: (select all
that apply) correct answer: Customize product recommendations
Automate lead sorting in sales
Automate resume screening
Automate visual inspection in a manufacturing line
5. Unless you have a huge dataset ("Big Data"), it is generally not
worth attempt- ing machine learning or data science projects on
your problem. correct answer: F
6. Say you want to build an AI system to help recruiters with
automated resume screening. Which of these steps might be involved
in "technical diligence" process? (Select all that apply.) correct answer: Making
sure you can get enough data for this project
Defining an engineering timeline
Correct
1/
3
Questions with Answers
1. Machine learning is an "iterative" process, meaning that an AI
team often has to try many ideas before coming up with something
that's good enough, rather than have the first thing they try work.
correct answer: True
2. Say you want to use Machine Learning to help your sales team with
automatic lead sorting. I.e., Input A (a sales prospect) and output B
(whether your sales team should prioritize them). The 3 steps of the
workflow, in scrambled order, are correct answer:
(i)Deploy a trained model and get data back from users
(ii)Collect data with both A and B
(iii)Train a machine learning system to input A and
output B What is the correct ordering of these steps?
correct answer: (ii) (iii) (i)
3. What are the key steps of a Data Science project? correct answer: All
of the above
4. Machine Learning programs can help correct answer: (select all
that apply) correct answer: Customize product recommendations
Automate lead sorting in sales
Automate resume screening
Automate visual inspection in a manufacturing line
5. Unless you have a huge dataset ("Big Data"), it is generally not
worth attempt- ing machine learning or data science projects on
your problem. correct answer: F
6. Say you want to build an AI system to help recruiters with
automated resume screening. Which of these steps might be involved
in "technical diligence" process? (Select all that apply.) correct answer: Making
sure you can get enough data for this project
Defining an engineering timeline
Correct
1/
3
