QUESTION 21
Your team is working on an NLP model and has just operationalized the first model. Your team makes updates to the model, overwrites the original model, and puts this new model into operation. However, one of the teams using the model has seen a decrease in performance and is asking to use the original model. What critical error did your team make?

A. They did not practice model iteration and properly iterate on the model
B. They did not have a model retraining pipeline that took into account models
C. They did not have data governance in place
D. They did not practice model versioning and keep all versions of the model

Correct Answer: D

QUESTION 22
You’re being told by upper management that you need to manage a new Al project You need to determine the Al project fit to make sure you’re actually solving a real business problem. During phase l: Business Understanding, you should consider at least one of the following (Select all that apply.):

A. Improve company competitiveness in the market
B. Has the “cool” factor
C. Solves a previously unsolved problem
D. Enhance revenue
E. Solves an already solved problem but does it better and cheaper
F. Explores a proof of concept for an Al project

Correct Answer: ACDEF

QUESTION 23
Your team has built a new robot that roams the halls at your organization and helps with various things such as small deliveries. However, you notice that many employees are opting ‘not to use the robot When you ask them why they tell you that the robot looks “creepy” and they would rather not interact with it. What’s going on here?

A. The bot is falling into The “Uncanny Valley”
B. Bias towards the robot
C. Safety and reliability issues that impact bot usefulness
D. Lack of understanding the robot’s usefulness

Correct Answer: A

QUESTION 24
Your team is working on a new project for finding the most optimal flow of warehouse robots on the warehouse floor. Which type of machine learning approach would be most appropriate to pick for this problem?

A. Unsupervised Learning
B. Reinforcement Learning

C. All would work equally well
D. Supervised Learning

Correct Answer: B

QUESTION 25
Major factors for the project you are currently working on is around the training time, cost, and complexity of training your models. Which algorithm is not the best choice given these constraints?

A. Neural Networks
B. Support Vector Machines (SVM)
C. Gaussian Mixture
D. Naive Bayes

Correct Answer: A

QUESTION 26
Your team is looking for a short term ROI project and decides that an AI enabled chatbot will be the project to start with. During Phase l of CPMAI you go through the AI Go/No Go decision chart and realize that you have not answered yes to all the business feasibility questions. You and the team have not determined a clear problem definition. What’s the best course of action with how to proceed?

A. Do not move forward until you can determine a clear problem definition.
B. Do not move forward and cancel the project all together.
C. Cautiously move forward as planned. You do not need to answer yes to all the questions in the Al Go/No Go decision chart to start your project.
D. Move forward with the project as planned. The problem definition will become clear later on in the project.

Correct Answer: A

QUESTION 27
In the case that an algorithm you want to use isn’t algorithmically explainable, Al systems should try to do the following:

A. Provide a means to have contestability of the algorithm selected
B. Provide a means to have a different team on the project
C. Provide a means to reverse-engineer the algorithm to inspect its performance
D. Provide a means to interpret AI results so that cause and effect can be represented

Correct Answer: D

QUESTION 28
As the project manager, you are leading a brainstorming session with key stakeholders around a new Hyperpersonalization project What’s a key feature for this project that should happen to ensure success?

A. Develop a unique profile of each type of individual, and have that profile stay the same over the lifetime of that user
B. Develop a unique profile of each individual, and manually update that profile over time for a wide variety of purposes
C. Develop a unique profile of each individual, and have that profile learn and adapt over time for a wide variety of purposes
D. Develop a unique profile of each individual, and having that profile both learn and adapt over time as well as be programmed for a wide variety of purposes

Correct Answer: C

QUESTION 29
Your organization has just rolled out a new image recognition system and is asking all employees to use it. It was trained using images from the lmageNet test set After a few weeks, users are finding the results are not as expected and are asking for visibility into all the aspects of what went into building an Al system. What area of Trustworthy Al is being addressed here?

A. Transparent Al
B. Governed Al
C. Al Systemic Transparency
D. Responsible Al
E. Explainable Al

Correct Answer: A

QUESTION 30
Your organization wants to keep an eye on Al systems for Governance purposes, What are the most crucial things to consider?(Select all that apply)

A. Key Performance Indicators (KPIs)
B. Al System testing requirements
C. Vendor procurement methods
D. ROI determination
E. Data source identification
F. Algorithm selection
G. Human chain of accountability
H. Continuous System monitoring

Correct Answer: ABEFGH

QUESTION 31
Data Engineering is 80%+ of most Al projects, so building a good Data Engineering Environment is key to Al Project Success. As the manager of this project, you need to make sure you have correct staffing needs. What’s the most critical role to staff for in the Big Data / Data Engineering Environment?

A. Data Engineering and Data Scientists
B. Data Engineering
C. All roles are critical to staff in the Four different Al Tech environments
D. Senior management
E. Data Scientists

Correct Answer: B

QUESTION 32
Your team is tasked with selecting an algorithm for a supervised learning classification project. Which algorithm might you choose?

A. K-means
B. Gaussian mixture
C. Q learning
D. K-nearest neighbor

Correct Answer: D

QUESTION 33
You are establishing the data requirements for the project. Which of the following tasks is the least likely to impact data requirements?

A. The makeup of your data team
B. The quality of the data you collect
C. The volume of the data you collect
D. The location/source of your data collection

Correct Answer: A

QUESTION 34
You’re in charge of marketing at your organization and you’ve been tasked with using Al to help create marketing images. What’s a good solution for this need?

A. Autonomous patterns and process automation
B. Image and object detection and recognition systems
C. Decision tree and Random Forest approaches
D. Generative Al solutions for content generation

Correct Answer: D

QUESTION 35
Your team is starting a new facial recognition project and you want to ensure that the project is being done with Trustworthy Al in mind. At what phase of CPMAI would Trustworthy Al be considered?

A. Phase l
B. Phase II
C. Phase III
D. Phase IV
E. Phase V
F. Phase VI
G. All phases
H. None of the phases

Correct Answer: F

QUESTION 36
You’re working with an inexperienced team and this is all their first Al project. You’re trying to work on a supervised learning binary classification problem to determine if emails are spam or not. What is the best approach for this project?

A. Pick a neural network algorithm since you know this works well for supervised learning approaches
B. Pick a simple algorithm such a naive bayes
C. Pick an ensemble method since you’re not sure which algorithm will perform best
D. Pick a simple algorithm such as Gaussian mixture

Correct Answer: B

QUESTION 37
The growth of Big Data has led to a desire to be able to do more to process and extract more value from Big Data. Simply storing data and providing analytics is no longer enough anymore to remain competitive. To keep your organization competitive, you need to:

A. Make sure all senior leadership is data literate, understands the Vs of big data, data’s connections to your specific team, and how to extract value from big data to unleash it for competitive advantage.
B. Make sure the technical team has deep understanding of big data and how best to extract value from big data to unleash it for competitive advantage.
C. Make sure Everyone on the team has an understanding of data, its connections to the organization, and how to extract value from big data to unleash it for competitive advantage.
D. Make sure senior management has deep understanding of big data and how best to extract value from big data to unleash it for competitive advantage.

Correct Answer: C

QUESTION 38
When building your model you need to make sure you’re not only checking for performance and making sure the model is giving the expected results. You also need to make sure the model is accomplishing the business objective. At what phase of CPMAI is this most appropriate to do this?

A. Phase II
B. Phase VI
C. Phase l
D. Phase V
E. Phase IV
F. Phase III

Correct Answer: B

QUESTION 39
Your team is working on a project and is running into some issues. You need someone on the team who is able to solve problems in environments of uncertainty, can deal with failure, and has the math and data visualization skills needed to communicate the results with others so the issues can get resolved. What role would be most suited for this?

A. Data Engineer
B. Data Scientist
C. Citizen Data Scientist
D. Project Manager

Correct Answer: B

QUESTION 40
The confusion matrix measures how the algorithm performs for a binary classification activity. As your team is running tests to evaluate model performance, they are seeing the model is incorrectly categorizing flowers as trees. Your model is provided the following:

A. True Negative results
B. True Positive results
C. False Negative results
D. False Positive results

Correct Answer: D