Domain 5

Question 1

What are the 4 phases of the AI system development life cycle?

Answer 1

1. Planning
2. Design.
3. Development
4. Implementation

Question 2

What are the 3 most common business problems that AI solves?

Answer 2

1. classification
2. regression
3. recommendation

Question 3

What are the key steps in the Planning phase?

Answer 3

1. determine the business objectives and requirements
2. focus on the organizational mission
3. Determine the data to be used
4. Determine the scope
5. determine the governance structure and responsibilities

Question 4

What are the 3 qualities that will help you determine the scope?

Answer 4

1. impact
2. fit
3. effort

Question 5

In what stage of the AI system development life cycle do you implement a data strategy?

A. planning
B. designing
C. development
D. implementation

Answer 5

B. designing

Question 6

What data formats are used?

Answer 6

1. structured - labeled
2. unstructured - unlabeled
3. static - unchanged
4. streaming - changing

Question 7

What are the 5 V’s of data preparation?

Answer 7

1. volume
2. veracity
3. velocity
4. value
5. variety

Question 8

What is the most time consuming step within the AI system development lifecycle?

A. data strategy
B. data preparation
C. determining the system architecture
D. developing the algorithm

Answer 8

B. data preparation

Question 9

What is included during the wrangling/data preparation step?

Answer 9

1. cleansing
2. labeling
3. anonymization
4. data minimization
5. privacy enhancing technologies (PETs)

Question 10

Types of Privacy enhancing Technologies (PETs)

Answer 10

1. differential privacy
2. federated learning
3. homomorphic encryption
4. data minimization
5. de-identification/obfuscation