Valid CPMAI CPMAI Dumps Ensure Your Passing
CPMAI Dumps Real Exam Questions Test Engine Dumps Training
NEW QUESTION # 10
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. Iterative modeling and evaluation
- B. Automatic model selection
- C. Automatic hyperparameter tuning
- D. Automatic algorithm selection
- E. Automatic model assessment
Answer: B
NEW QUESTION # 11
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. Augmented Intelligence
- B. Unattended bot
- C. RPA is not the right solution to this problem
- D. Attended bot
Answer: D
NEW QUESTION # 12
Your organization wants to use Generative AI. What are examples of when Generative AI can and should be used? (Select all that apply.)
- A. Programmatic automated content generation
- B. Explainable Decision-support systems
- C. Data Augmentation for Training
- D. Content Generation
- E. Human Augmentation
- F. Virtual Avatars and Characters
Answer: A,C,D,E
NEW QUESTION # 13
In what way would you be using Generative AI if you used the results of the Generative AI solution to improve and accelerate your job?
- A. As an autonomous system removing the human from the loop
- B. Used for Hyperpersonalization
- C. As a programmatic approach for automation
- D. As an Augmented Intelligence system
Answer: D
NEW QUESTION # 14
You have just joined a team and they are working on a new project. The project lead isn't sure what type of technology should be used on this project - AI or a traditional software development approach. What is the best way to determine if you have the criteria for a good AI/ML Project?
- A. Evaluate whether the solution can be done with automation.
- B. Determine the long-term need for the organization and build the project to that long-term goal.
- C. Determine if the project fits within the scope, budget, and timeline set out.
- D. Determine whether the project has a cognitive technology component and meets a short-term need.
Answer: D
NEW QUESTION # 15
Senior management has tasked your group to analyze a data set to uncover insights into the dat
- A. What is the best approach to use to do this?
- B. Data Integration
- C. Data Governance
- D. Data preparation
- E. Data Mining or Data Analytics
Answer: D
NEW QUESTION # 16
Your team was given a large dataset and has been tasked with organizing the data by type to make better insights from the results. You are facing problems with the approach that the previous project lead used which was a regression algorithm.
What type of algorithm is the best approach for this project?
- A. Regression
- B. Multiclass Classification
- C. Binary (or Binomial) Classification
- D. Clustering
Answer: D
NEW QUESTION # 17
For AI projects the code and systems don't matter as much as the dat
- A. Have team members that have experience, understanding of tools, and the ability to deal with massive volumes of data.
- B. Because of almost-infinite storage and compute power, collect as much data as possible and deal with organizing it later.
- C. Collect enormous amounts of data - the more data the better.
- D. 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?
- E. Understanding which algorithms are best for your data needs.
Answer: C
NEW QUESTION # 18
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. ROI determination
- B. Key Performance Indicators (KPIs)
- C. Algorithm selection
- D. Data source identification
- E. AI System testing requirements
- F. Continuous System monitoring
- G. Vendor procurement methods
- H. Human chain of accountability
Answer: B,E,F,H
NEW QUESTION # 19
The team is working to build a data preparation pipeline for the conversational chatbot project.
Which phase of CPMAI is this done?
- A. Phase VI
- B. Phase III
- C. Phase II
- D. Phase V
- E. Phase I
- F. Phase IV
Answer: B
NEW QUESTION # 20
In the case that an algorithm you want to use isn't algorithmically explainable, AI systems should try to do the following:
- A. Provide a means to have contestability of the algorithm selected
- B. Provide a means to interpret AI results so that cause and effect can be represented.
- C. Provide a means to have a different team on the project
- D. Provide a means to reverse-engineer the algorithm to inspect its performance
Answer: B
NEW QUESTION # 21
Your team is starting a new facial recognition project and you want to ensure that the project is being done with Trustworthy AI in mind.
At what phase of CPMAI would Trustworthy AI be considered?
- A. Phase VI
- B. Phase III
- C. None of the phases
- D. All phases
- E. Phase II
- F. Phase V
- G. Phase I
- H. Phase IV
Answer: D
NEW QUESTION # 22
During the initial phase of an AI project, the team is assessing project success criteria. The project manager discovers that the project may be violating some compliance rules.
What problem describes the issue the project team is facing?
- A. Inadequate separation of cognitive and noncognitive software
- B. Lack of clarity on the project's business objective
- C. Failure to identify applicable data regulations early on
- D. Absence of a clear AI go/no-go assessment
Answer: C
NEW QUESTION # 23
A project team is tasked with ensuring all AI-related decisions and actions are documented comprehensively for future auditing purposes. They need to track the reasons for specific AI choices, their impacts, and any issues encountered during the implementation.
What is represented in this situation?
- A. Compliance management
- B. Operational efficiency
- C. Transparency
- D. Strategic alignment
Answer: C
NEW QUESTION # 24
A healthcare project manager is evaluating whether to implement an AI-powered diagnostic tool.
The initial cost is US$500,000 with an expected return on investment (ROI) of 15% within the first year. The project needs to satisfy multiple stakeholders including hospital administrators and medical staff.
Which method will maximize a positive ROI for the AI implementation?
- A. Ensuring all AI and non-AI components are integrated seamlessly
- B. Monitoring AI model performance against key performance indicators
- C. Seeking verbal commitments from interested parties at each project phase
- D. Acquiring alternatives to the AI solution as a contingency plan
Answer: B
NEW QUESTION # 25
In order for Supervised Learning approaches to work, they must be fed clean, well-labeled data that the system can use to learn from examples. But how do you get Labeled Data? As a team leader at a small startup, what approach would not be beneficial when trying to gather labeled data?
- A. Hire a Contractor Workforce
- B. Contract with Third Party Data Labeling Firms
- C. Get your Users to Do it
- D. Find a source of already labeled data
Answer: C
NEW QUESTION # 26
Leadership wants a new HR system built that will better handle potential candidate matching. The project manager assigned to this project believes that the project is well-suited for AI, however they are unsure which pattern of AI this would be.
What should the project manager do?
- A. Conduct a straw poll with stakeholders to determine which pattern of AI this project falls under so they can best collect the data needed and skill sets for the team.
- B. Pick an algorithm that seems best suited for the problem and then determine which pattern of AI it is based on the algorithm selected.
- C. Move forward without determining which pattern of AI this falls under.
- D. Determine which pattern of AI this project falls under so they can best collect the data needed and skill sets for the team.
Answer: D
NEW QUESTION # 27
You are establishing the data requirements for the project. Which of the following tasks is the least likely to impact data requirements?
- A. The location/source of your data collection
- B. The volume of the data you collect
- C. The quality of the data you collect
- D. The makeup of your data team
Answer: C
NEW QUESTION # 28
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. Data Engineering
- B. Senior management
- C. All roles are critical to staff in the Four different AI Tech environments
- D. Data Engineering and Data Scientists
- E. Data Scientists
Answer: A
NEW QUESTION # 29
An IT services company is working on a project to develop an AI-based customer support system.
During data preparation, the project manager needs to clean and transform customer interaction logs.
What is an effective technique to handle any missing data?
- A. Fill missing values with zeros without analysis
- B. Duplicate existing data to fill in missing gaps
- C. Remove records with missing values if minimal
- D. Ignore missing data if it seems insignificant
Answer: C
NEW QUESTION # 30
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. Pre-Trained Models
- B. Reinforcement Learning
- C. Transfer Learning
- D. Generative AI
Answer: C
NEW QUESTION # 31
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?
- A. Generative AI models hallucinating data results
- B. Data privacy issues leading to data sharing concerns
- C. Nothing is wrong, algorithmic decisions will never be 100%
- D. Biased data sets leading to algorithmic discrimination
Answer: D
NEW QUESTION # 32
......
PMI CPMAI: Selling CPMAI Products and Solutions: https://www.testbraindump.com/CPMAI-exam-prep.html
CPMAI exam dumps and online Test Engine: https://drive.google.com/open?id=1ZJWlLsc5UUP65hMZYdgIX4rJyVpuG2ba
