CPMAI Exam Questions
110 real CPMAI exam questions with expert-verified answers and explanations. Page 1 of 3.
- Question #1Define AI Project Strategy
You need to hire a data scientist to join your team. What skill sets should you be looking for when hiring and interviewing this person? (Select all that apply.)
data scientist skillsteam compositionAI roleshiring - Question #2Execute AI Project Delivery
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...
AutoMLmodel selectionautomated machine learninghyperparameter tuning - Question #3Execute AI Project Delivery
One of the key elements of a data-centric methodology is the data requirements phase. During CPMAI Phase II, several unexpected issues have developed and are now threatening the da...
CPMAI Phase IIdata collectionscope managementdata requirements - Question #4Execute AI Project Delivery
You're testing your model and it is overly sensitive to the fluctuations of data and having trouble generalizing. What type of problem is this?
overfittingmodel generalizationbias-variance tradeoffmodel training - Question #5Execute AI Project Delivery
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 t...
algorithm selectionneural networkstraining costmodel complexity - Question #6Execute AI Project Delivery
Your team is testing the NLP model they just created to make sure it's performing as expected. Some of your team members want to move this model to production and move to the next...
AI Go/No Gomodel evaluationNLPCPMAI workflow - Question #7Execute AI Project Delivery
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?
RPAunattended botautomationback-office processes - Question #8Define AI Project Strategy
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 an...
data literacybig dataorganizational strategyleadership - Question #9Execute AI Project Delivery
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 requi...
CPMAI Phase IIdata requirementsdata collectionGoldilocks approach - Question #10Define AI Project Strategy
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 d...
AI Go/No Goproblem definitionbusiness feasibilityCPMAI Phase I - Question #11Execute AI Project Delivery
Your model is going to be used for continuous monitoring of machinery, with need for continuous, instant model predictions. What's the most appropriate Model Operationalization app...
model operationalizationreal-time predictiondeployment strategycontinuous monitoring - Question #12Define AI Project Strategy
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?
Generative AIaugmented intelligencehuman-in-the-loopAI types - Question #13Apply Agile and Ethical AI Practices
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 o...
Responsible AITrustworthy AIfacial recognitionAI ethics - Question #14Execute AI Project Delivery
Recently your company has been getting a large number of spam emails and some employees have been clicking on these suspicious emails causing a headache for IT. The head of IT want...
binary classificationspam filteringalgorithm selectionsupervised learning - Question #15Monitor and Control AI Project Performance
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 mod...
model evaluationbusiness objectiveCPMAI Phase Vperformance validation - Question #16Execute AI Project Delivery
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 t...
data labelingCPMAI Phase IIimage recognitiondata preparation - Question #17Execute AI Project Delivery
You're looking to take an image and have a Generative AI solution generate additional content beyond the bounds of the current image size. What Generative AI approach can you use?
Generative AIoutpaintingimage generationGen AI techniques - Question #18Apply Agile and Ethical AI Practices
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?
Governed AITrustworthy AIhuman contestabilityAI accountability - Question #19Apply Agile and Ethical AI Practices
Your company is insisting on running an automation project and applying AI best practices and methodologies to the project. You understand that automating things is just the act of...
automation vs AIAI literacyteam educationproject governance - Question #20Define AI Project Strategy
You're being told by upper management that you need to manage a new AI project. You need to determine the AI project fit to make sure you're actually solving a real business proble...
business understandingCPMAI Phase IAI project fitbusiness value - Question #21Execute AI Project Delivery
You're working on a computer vision application and realize that you do not have enough real world data for the project. You need additional data created to support your training n...
synthetic training datacomputer visiondata collectiondata augmentation - Question #22Execute AI Project Delivery
A team is getting ready to begin working on a ML project. They need to build a data preparation pipeline and someone on the team suggests they reuse the same pipeline they created...
data preparation pipelineML workflowmodel specificitypipeline reuse - Question #23Execute AI Project Delivery
During CPMAI Phase II of your project, your team is going through their data collection needs. One team member wants to make use of pre-trained models while another member is adama...
pre-trained modelsCPMAI Phase IIdata collectiontransfer learning - Question #24Apply Agile and Ethical AI Practices
A team has started working on their first AI project and they are running this project like a traditional software development project. About two months into the project the team i...
data-centric methodologyAI project managementAgile adoptionproject recovery - Question #25Apply Agile and Ethical AI Practices
You are working for a large multinational organization and have been assigned to a new project. For your new ML project you need to make sure you're managing data privacy and secur...
data privacydata securityregulatory compliancesensitive data - Question #26Execute AI Project Delivery
You are establishing the data requirements for the project. Which of the following tasks is the least likely to impact data requirements?
data requirementsdata qualityteam compositiondata volume - Question #27Execute AI Project Delivery
You have been tasked with creating a model that will recommend products based on what other customers have similarly purchased. Which algorithm is the best choice given this situat...
K Nearest Neighborcollaborative filteringrecommendation systemsalgorithm selection - Question #28Execute AI Project Delivery
Your team is working on an image recognition project, have collected the appropriate data for the project, and have picked a neural network algorithm. They are now ready to train t...
CPMAI phasesmodel trainingPhase IVproject lifecycle - Question #29Execute AI Project Delivery
Your team is working on an AI-enabled chatbot to be placed on the website. The goal of the chatbot is to be able to answer questions 24/7 to service clients around the globe. When...
third-party modelsdata sufficiencychatbotpre-trained models - Question #30Execute AI Project Delivery
During CPMAI Methodology Phase IV: Model Development, which of the following is not done during this phase?
CPMAI Phase IVmodel developmentalgorithm selectionmodel training - Question #31Define AI Project Strategy
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 yo...
data engineeringteam staffingAI rolesbig data environment - Question #32Execute AI Project Delivery
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...
data selectionattribute pruningdata complexitydata volume management - Question #33Monitor and Control AI Project Performance
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 mode...
confusion matrixfalse positivebinary classificationmodel evaluation - Question #34Apply Agile and Ethical AI Practices
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...
uncanny valleyhuman-robot interactionuser acceptanceAI adoption - Question #35Apply Agile and Ethical AI Practices
Recently, you implemented an augmented intelligence application at work to help employees do their job better. However, employees have been resistant to this change and aren't usin...
change managementaugmented intelligenceuser adoptionstakeholder engagement - Question #36Define AI Project Strategy
Which of the following best describes the technical definition of Machine Learning?
machine learning definitionAI fundamentalsML conceptslearning from experience - Question #37Execute AI Project Delivery
Upper management is looking to roll out a new product and wants to see if there are any patterns and insights that can be discovered from customer data. Your team has been tasked t...
unsupervised learningpattern recognitionML approach selectioncustomer data - Question #38Define AI Project Strategy
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,...
data scientist roleteam rolesAI team compositionproblem-solving skills - Question #39Define AI Project Strategy
Your organization wants to use Generative AI. What are examples of when Generative AI can and should be used? (Select all that apply.)
generative AIuse casescontent generationdata augmentation - Question #40Define AI Project Strategy
A project manager meets with a customer for initial discussions about an upcoming project. At the end of the meeting, the customer asks the project manager for a rough estimate of...
project estimationtimeline planningrisk managementproject scoping - Question #41Execute AI Project Delivery
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 Operationalizati...
model operationalizationbatch predictiondeployment patternsmodel serving - Question #42Monitor and Control AI Project Performance
Your model has been working fine for the last three months, however recently you notice the model's performance has greatly declined. What seems to have been overlooked in your wor...
model retrainingmodel driftmodel monitoringperformance degradation - Question #43Apply Agile and Ethical AI Practices
During which phase of an AI project should you consider Trustworthy AI considerations?
trustworthy AIethical AICPMAI phasesresponsible AI - Question #44Execute AI Project Delivery
Your team is using a neural network algorithm to generate a Machine Learning Model. What specific artifacts need to be included? (Select all that apply.)
neural networksmodel artifactshyperparameterstraining data - Question #45Apply Agile and Ethical AI Practices
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 ImageNet test set. After a few week...
transparent AItrustworthy AIAI systemic transparencyimage recognition - Question #46Execute AI Project Delivery
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...
algorithm selectionNaive Bayesclassificationconstrained resources - Question #47Define AI Project Strategy
You're in charge of marketing at your organization and you've been tasked with using AI to help create marketing images. What's a good solution for this need?
generative AIcontent generationAI patternsuse case identification - Question #48Apply Agile and Ethical AI Practices
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?
PIIdata anonymizationdata privacyethical data handling - Question #49Execute AI Project Delivery
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 th...
clusteringunsupervised learningalgorithm selectiondata organization - Question #50Execute AI Project Delivery
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 appropriat...
reinforcement learningroboticsoptimizationML approach selection