Question 1

You're working on a project and are working with personally identifiable information (PII). What's the best approach to take when it comes to collecting and using this data?

Options :

A : Use noise reduction techniques to reduce all forms of data noise

B : Implement a new data privacy policy

C : Store the data in a data warehouse

D : If this data is not needed, use Data anonymization techniques to remove it before feeding to models

Answer: D

Question 2

Your team is working on a new loan decision model that takes a number of factors and data points into consideration and then automatically approves or denies a loan. After a month in operation someone does a review and notices that the system is denying a large number of loans from a certain demographic when all other factors from people in other regions (such as age, salary, and credit score) are the same. What is most likely happening here?

Options :

A : Biased data sets leading to algorithmic discrimination

B : Generative AI models hallucinating data results

C : Nothing is wrong, algorithmic decisions will never be 100%

D : Data privacy issues leading to data sharing concerns

Answer: A

Question 3

You recently completed an image recognition project at your company that was focused on identifying different types of cars. You have now been assigned a new image recognition project that is focused on identifying different types of animals. You know you can shortcut model development by using a specific technique. What is this technique called?

Options :

A : Reinforcement Learning

B : Generative AI

C : Transfer Learning

D : Pre-Trained Models

Answer: C

Question 4

Your team has collected petabytes of data for your AI project. As the project lead, you understand this is too much data to use for this iteration of the project. What is the best course of action to take with this data?

Options :

A : Data selection and attribute pruning to reduce overall size and data complexity.

B : Data Deduping to reduce overall size and data complexity.

C : Data integration focused on reducing the number of data sources.

D : Careful algorithm selection that reduces the need for data.

Answer: A

Question 5

When looking to implement AI to help break the Digital Transformation logjam, it's important to:

Options :

A : Have the right culture for AI

B : Invest in technology solutions to solve the problem

C : Figure out which pattern(s) of AI are needed to incorporate intelligent systems into non-digital processes

D : Start with basic automation and introduce AI only as needed

Answer: A