CPMAI Pre-Exam Practice Tests | (Updated 110 Questions)
Valid CPMAI Exam Q&A PDF - One Year Free Update
NEW QUESTION # 32
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 I 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 altogether.
- C. Cautiously move forward as planned. You do not need to answer yes to all the questions in the AI 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.
Answer: A
NEW QUESTION # 33
Creating machine learning models can be complicated. Your team wants to use tools called Automated Machine Learning (AutoML) to simplify the process. You know of another team that has used AutoML tools and it's saved the team a lot of time. However, what's the one area you should not have the AutoML tool help with?
- A. Automatic algorithm selection
- B. Automatic model selection
- C. Automatic hyperparameter tuning
- D. Automatic model assessment
- E. Iterative modeling and evaluation
Answer: B
NEW QUESTION # 34
You're running an AI 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.
What's one approach to speed up model training?
- A. Use data from a previous project
- B. Use Brute force method
- C. Use cloud-based technology
- D. Use or extend a pre-trained model
Answer: D
NEW QUESTION # 35
Data Engineering is 80%+ of most AI projects, so building a good Data Engineering Environment is key to AI 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. All roles are critical to staff in the Four different AI Tech environments
- B. Data Engineering
- C. Data Scientists
- D. Senior management
- E. Data Engineering and Data Scientists
Answer: B
NEW QUESTION # 36
You're working with an inexperienced team and this is all their first AI 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 simple algorithm such as naive bayes
- B. Pick a neural network algorithm since you know this works well for supervised learning approaches
- C. Pick an ensemble method since you're not sure which algorithm will perform best
- D. Pick a simple algorithm such as Gaussian mixture
Answer: A
NEW QUESTION # 37
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. False Negative results
- B. True Negative results
- C. True Positive results
- D. False Positive results
Answer: D
NEW QUESTION # 38
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. All would work equally well
- B. Reinforcement Learning
- C. Supervised Learning
- D. Unsupervised Learning
Answer: B
NEW QUESTION # 39
An IT services company is integrating an AI solution to automate its customer service functions.
The integration team is facing resistance from the customer's employees.
Which action should the project manager perform to manage this risk?
- A. Mandate immediate transition from management
- B. Implement a gradual phased rollout
- C. Offer the option to join another team
- D. Conduct all-hands meetings on the benefits
Answer: B
NEW QUESTION # 40
Your team is looking to develop an RPA bot to help assist call center agents while on providing support. What type of bot should your team be creating?
- A. RPA is not the right solution to this problem
- B. Unattended bot
- C. Augmented Intelligence
- D. Attended bot
Answer: D
NEW QUESTION # 41
An organization is to undertake a multi-pattern AI project. They want to build a robot that is able to roam the halls as well as converse with employees and answer basic questions.
What is the best approach for handling this project?
- A. Run each pattern in isolation, with separate teams
- B. Run it as one project, combining teams, data requirements, and project needs
- C. Run each pattern as its own project, with their own CPMAI phase iterations, data requirements, and project needs
- D. Run it as a hybrid approach and some phases are run separately while other phases are combined together
Answer: D
NEW QUESTION # 42
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. Naive Bayes
- D. Gaussian Mixture
Answer: C
NEW QUESTION # 43
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 IV
- B. Phase II
- C. Phase III
- D. Phase VI
- E. Phase I
- F. Phase V
Answer: B
NEW QUESTION # 44
You want to make sure that in your HR hiring system that applicants have the ability to contest the result. In what layer of the Trustworthy AI framework do we address this need?
- A. Ethical AI
- B. Explainable AI
- C. Responsible AI
- D. Transparent AI
- E. Governed AI
Answer: E
NEW QUESTION # 45
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. Recognition Pattern
- B. Predictive Analytics & Decision Support
- C. Predictive Analytics & Decision Support and Patterns and Anomalies
- D. Goal Driven Systems
Answer: B
NEW QUESTION # 46
For AI projects the code and systems don't matter as much as the dat
- A. 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?
- B. Because of almost-infinite storage and compute power, collect as much data as possible and deal with organizing it later.
- C. Understanding which algorithms are best for your data needs.
- D. Collect enormous amounts of data - the more data the better.
- E. Have team members that have experience, understanding of tools, and the ability to deal with massive volumes of data.
Answer: D
NEW QUESTION # 47
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?
- A. Generative AI
- B. Pre-Trained Models
- C. Reinforcement Learning
- D. Transfer Learning
Answer: D
NEW QUESTION # 48
You are being tasked to manage an AI project at your company and you need to identify which project to start with. What's the best way to approach this?
- A. Ask key stakeholders from your group and find a small problem that would have a big return on investment and start there.
- B. Ask key stakeholders from all groups for input about their pain points.
- C. Find a project that requires 100% accuracy in the results and start with that one.
- D. Go through all possible scenarios to come up with the perfect first project.
Answer: A
NEW QUESTION # 49
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. 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.
- B. Move ahead as planned so you stay on time with your project.
- C. Cautiously move forward knowing you may need to pause mid-project which is ok.
- D. Do not move forward until you have access to all the data you need.
Answer: D
NEW QUESTION # 50
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. Dimensionality Reduction
- B. Data selection
- C. Multivariate regression
- D. Gradient Descent
Answer: A
NEW QUESTION # 51
Your organization wants to keep an eye on AI systems for Governance purposes. What are the most crucial things to consider? (Select all that apply.)
- A. Vendor procurement methods
- B. Continuous System monitoring
- C. AI System testing requirements
- D. Human chain of accountability
- E. Algorithm selection
- F. Data source identification
- G. Key Performance Indicators (KPIs)
- H. ROI determination
Answer: B,C,D,G
NEW QUESTION # 52
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