CPMAI Methodology Phase II: Data Understanding Exercises (Part 1)
Quiz Summary
0 of 8 Questions completed
Questions:
Information
You have already completed the quiz before. Hence you can not start it again.
Quiz is loading…
You must sign in or sign up to start the quiz.
You must first complete the following:
Results
Results
0 of 8 Questions answered correctly
Your time:
Time has elapsed
You have reached 0 of 0 point(s), (0)
Earned Point(s): 0 of 0, (0)
0 Essay(s) Pending (Possible Point(s): 0)
Categories
- Not categorized 0%
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- Current
- Review
- Answered
- Correct
- Incorrect
-
Question 1 of 8
1. Question
When it comes to data needed for AI projects, it’s important to have (select all that apply):
CorrectIncorrect -
Question 2 of 8
2. Question
Data is the heart of AI.
CorrectIncorrect -
Question 3 of 8
3. Question
During this data understanding phase it’s ok if you haven’t yet determined your business understanding and business objectives?
CorrectIncorrect -
Question 4 of 8
4. Question
It’s ok to start with the Data Understanding phase first.
CorrectIncorrect -
Question 5 of 8
5. Question
Roughly what percentage of data supplied is usable or relevant (before data cleansing)?
CorrectIncorrect -
Question 6 of 8
6. Question
What potential sources of data can be used for AI. Select all that apply:
CorrectIncorrect -
Question 7 of 8
7. Question
You can only run AI projects if you have massive amounts of data.
CorrectIncorrect -
Question 8 of 8
8. Question
Match the training data term to the definition:
Sort elements
- Training Data
- “Ground Truth” Data
- Synthetic Data
-
a dataset of prepared data that is cleaned and has appropriate labels [if used for supervised learning] that is used to incrementally train a machine learning model to perform a particular task.
-
Training data that is collected from real sources of information
-
Training data that is artificially generated in place of real world data that mimics the real-world
CorrectIncorrect