QUESTION 1
Your team has created a model that is going to be used for monitoring systems and it needs to provide analysis on a weekly basis. What’s the most appropriate Model Operationalization approach?

A. Batch prediction
B. Web service / Microservice
C. Real-time prediction
D. Stream learning

Correct Answer: A

QUESTION 2
Clean, well-labeled, datasets used for machine learning are partitioned into three subsets: Training sets, Validation sets, and Test sets. As your team is doing this, what’s the best way to split up this data?

A. Split by alphabetical order
B. Split by patterned subsampling
C. Use the same data for all sets
D. Split by random subsampling

Correct Answer: D

QUESTION 3
You’re running an Al project and want to speed up training of the model so that you can complete your current CPMAI iteration within the two week timeframe the team has set. Use or extend a pre-trained model one approach to speed up model training?

A. Use Brute force method
B. Use or extend a pre-trained model
C. Use data from a previous project
D. Use cloud-based technology

Correct Answer: B

QUESTION 4
Your team is looking to develop an RPA bot to help with back-office processes such as data entry. What type of bot should your team be creating?

A. Unattended bot
B. RPA is not the right solution to this problem
C. Business Process Outsourcing
D. Attended bot

Correct Answer: A

QUESTION 5
You’re working with petabytes of data and need to make this dataset more manageable. To do this, you want to reduce the number of variables under consideration. What is the name for this process?

A. Gradient Descent
B. Dimensionality Reduction
C. Multivariate regression
D. Data selection

Correct Answer: B

QUESTION 6
Your team is working on a new facial recognition application. Since this technology has the potential to be mis-used you think it’s important to set guidelines for the proper use of this application and you want to make sure the Al system is built for some positive purpose. What area of Trustworthy Al does this best fall under?

A. Governed Al
B. Transparent Al
C. Responsible Al
D. Explainable Al

Correct Answer: C

QUESTION 7
Your team is planning an Al enabled chatbot project to help reduce call center load. They are currently determining if the project can get off the ground and working through the Al Go/No Go feasibility questions. What stage of CPMAI is the team currently working on?

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

Correct Answer: B

QUESTION 8
Enhancing and cleaning data is an important action during which phase of CPMAI?

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

Correct Answer: C

QUESTION 9
You’ve built your model and now need to see if it actually works as expected. In which phase of CPMAI is this done?

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

Correct Answer: F

QUESTION 10
Your team is running a forecasting project and wants to use previous user data to better predict future outcomes. However your team doesn’t have access to all the data it needs. What’s the best course of action?

A. Cautiously move forward knowing you may need to pause mid-project which is ok.
B. Do not move forward until you have access to all the data you need.
C. Move ahead as planned so you stay on time with your project.
D. Move ahead as planned and hope you get access to the data once you need it Since you’re using an iterative approach you can always go back to steps as needed later on.

Correct Answer: B

QUESTION 11
During CPMAI Phase II it’s important to not only understand the sources of your data, but also what data is required for training as well as identifying the features that are required. when looking to gather data, what approach is best when determining how much data you need?

A. The “more is better” approach
B. The “goldilocks” approach
C. There is no correct approach
D. The “less is better” approach

Correct Answer: B

QUESTION 12
For Al projects the code and systems don’t matter as much as the data. In fact, big data is what’s powering much of this latest wave of AI. What’s most important for your company to consider around data?

A. Understanding which algorithms are best for your data needs.
B. Have team members that have experience, understanding of tools, and the ability to deal with massive volumes of data.
C. Because of almost-infinite storage and compute power, collect as much data as possible and deal with organizing it later.
D. Collect enormous amounts of data – the more data the better.

Correct Answer: B

QUESTION 13
Which of the following best describes the technical definition of Machine Learning?

A. An approach to using increasing levels of intelligence to solve greater cognitive needs from unintelligent automation to autonomous business process.
B. The application of pre-defined rules and algorithms to solve complex problems.
C. The use of computing technology to enable machines to gain cognitive intelligence.
D. A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P if its performance at tasks in T, as measured by P, improves with experience E.

Correct Answer: D

QUESTION 14
In what way would you be using Generative Al if you used the results of the Generative Al solution to improve and accelerate your job?

A. As a programmatic approach for automation
B. Used for Hyperpersonalization
C. As an autonomous system removing the human from the loop
D. As an Augmented Intelligence system

Correct Answer: D

QUESTION 15
The team is evaluating where the sources of the data for training are. What phase of CPMAI are they in?

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

Correct Answer: B

QUESTION 16
Your team is working on an image recognition system to help identify plants. They have collected a large amount of data but need to get this data labeled. Which phase of CPMAI is this done?

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

F. Phase VI

Correct Answer: C

QUESTION 17
You want to create a model to figure out if a customer would be likely to repurchase a certain item The project owner doesn’t want you to create anything too complicated , and you have a limited data set to work with. Which algorithm is the best choice given these constraints?

A. Generative Al
B. Ensemble models
C. Naive Bayes
D. Neural Networks

Correct Answer: C

QUESTION 18
Your company is insisting on running an automation project and applying Al best practices and methodologies to the project. You understand that automating things is just the act of using machines to repeat tasks, and does not require Al to achieve results. You think it is overkill but the project moves forward as planned. What would likely have helped avoid this conflict?

A. Everyone on the team should understand the differences between automation and autonomous systems.
B. Senior management should become involved in the project.
C. Applying a hybrid approach of automation and Al best practices would have achieved better results.
D. Nothing – running automation projects like autonomous projects is the correct thing to do.

Correct Answer: A

QUESTION 19
Your team is testing the NLP model they just created to make sure its performing as expected. Some of your team members want to move this model to production and move to the next iteration. What’s wrong with this workflow?

A. Model Evaluation requires continuous model evaluation, retraining, and operationalization
B. Team members should not be able to move to new projects until senior management signs off
C. Nothing is wrong with this workflow. You can move to the next iteration
D. You need to make sure the Al Go/No Go questions have been addressed

Correct Answer: A

QUESTION 20
Using machine learning and other cognitive approaches to understand how to take past / existing behavior and predict future outcomes or help humans make decisions about future outcomes using insight learned from past behavior / interactions / data is a core part to which pattern(s) of AI?

A. Predictive Analytics & Decision Support and Patterns and Anomalies
B. Predictive Analytics & Decision Support
C. Goal Driven Systems
D. Recognition Pattern

Correct Answer: B