AIGP Exam Questions
202 real AIGP exam questions with expert-verified answers and explanations. Page 3 of 5.
- Question #101AI Governance Program
What is the most important reason to document the results of AI testing?
AI testingaudit traildocumentationgovernance - Question #102Legal and Regulatory Landscape
ISO/IEC 22989 and 42001 can be valuable resources for AI Governance professionals in all of the following ways EXCEPT:
ISO 42001AI standardsthird-party procurementAI governance frameworks - Question #103AI Governance Program
When assessing the success of an AI system in meeting its objectives, which of the following approaches best aligns with the requirement to ensure a comprehensive evaluation while...
AI evaluationautomation biasbenchmarkinghuman oversight - Question #104Legal and Regulatory Landscape
Your company is developing an AI system for global markets. This system involves personal data processing and some decision making that may affect rights of the individuals. Part o...
EU AI Actinternational complianceregulatory strategydata protection - Question #105Legal and Regulatory Landscape
Under the EU AI Act, which category includes AI systems that pose unacceptable risks and are generally prohibited?
EU AI Actprohibited AIrisk categoriesAI regulation - Question #106AI Models and Data
Machine learning is best described as a type of algorithm by which?
machine learningsupervised learningpredictive patternsAI fundamentals - Question #107AI Models and Data
Random forest algorithms are in what type of machine learning model?
random forestdiscriminative modelensemble learningML model types - Question #108AI Models and Data
A company developed AI technology that can analyze text, video, images and sound to tag content, including the names of animals, humans and objects. What type of AI is this technol...
multi-modal AIcontent taggingAI classificationcomputer vision - Question #109AI Ethics and Best Practices
If it is possible to provide a rationale for a specific output of an AI system, that system can best be described as:
explainabilityAI transparencyXAImodel output rationale - Question #110Legal and Regulatory Landscape
CASE STUDY Please use the following to answer the next question: A company is considering the procurement of an AI system designed to enhance the security of IT infrastructure. The...
data privacypurpose limitationbiometric datapolicy compliance - Question #111AI System Risks
What type of organizational risk is associated with AI's resource-intensive computing demands?
environmental riskAI resource consumptionorganizational riskcomputing demands - Question #112AI Models and Data
A hospital implements an AI system to assist doctors in diagnosing diseases based on historical patient data. Which one of the following model types best describes this system?
probabilistic modeldisease diagnosishealthcare AIML model types - Question #113AI Ethics and Best Practices
Which of the following AI uses is best described as human-centric?
human-centric AIAI ethicspersonalizationeducational AI - Question #114AI Governance Program
Which of the following is a foundational characteristic of effective AI governance?
AI governancecross-functional teamsgovernance structureorganizational design - Question #115Legal and Regulatory Landscape
CASE STUDY Please use the following to answer the next question: A company is considering the procurement of an AI system designed to enhance the security of IT infrastructure. The...
data controllerGDPRDPIAthird-party processors - Question #116Legal and Regulatory Landscape
CASE STUDY Please use the following to answer the next question: A company is considering the procurement of an AI system designed to enhance the security of IT infrastructure. The...
biometric dataspecial category datapersonal data classificationGDPR - Question #117AI Governance Program
Which of the following typical approaches is a large organization least likely to use to responsibly train stakeholders on AI terminology, strategy and governance?
AI trainingstakeholder educationgovernance rolesresponsible AI - Question #118AI Governance Program
All of the following are elements of establishing a global AI governance infrastructure EXCEPT:
global AI governanceethical principlespolicy disclosureorganizational infrastructure - Question #119AI Governance Program
In the context of increasing use of AI in business operations, your company seeks to update its data privacy policies. You are tasked with evaluating the current policies and propo...
data privacy policyAI auditpersonal data protectionrisk management - Question #120Legal and Regulatory Landscape
Your management consulting firm is planning to use an AI system to support its employees. Which category of operator applies to the firm in this context?
EU AI Actdeployer roleoperator classificationAI system roles - Question #121AI System Risks
CASE STUDY Please use the following to answer the next question: A premier payroll services company that employs thousands of people globally, is embarking on a new hiring campaign...
AI hiring systemsbias in hiringdisparate impactHR automation - Question #122AI Governance Program
CASE STUDY Please use the following to answer the next question: A premier payroll services company that employs thousands of people globally, is embarking on a new hiring campaign...
stakeholder involvementcross-functional governancelegal complianceAI governance roles - Question #123Legal and Regulatory Landscape
CASE STUDY Please use the following to answer the next question: A premier payroll services company that employs thousands of people globally, is embarking on a new hiring campaign...
product liabilityAI legal frameworkemployment technologyhiring AI - Question #124AI Governance Program
What is the primary purpose of an AI impact assessment?
AI impact assessmentrisk managementharm prevention - Question #125Introduction to AI and AI Governance
The use of paid generative AI public tools is appealing because? (Choose three.)
generative AI toolsenterprise AIprivacy controlsAI features - Question #126AI Governance Program
Within an established AI governance infrastructure, what might be the most effective governance action to handle third-party AI systems deemed to be high-risk?
third-party AIhigh-risk AIregulatory alignmentimpact assessment - Question #127AI Ethics and Best Practices
CASE STUDY Please use the following to answer the next question: A premier payroll services company that employs thousands of people globally, is embarking on a new hiring campaign...
AI testingbias mitigationpre-deployment testinghiring AI - Question #128Legal and Regulatory Landscape
You are a privacy program manager at a large e-commerce company that uses an AI tool to deliver personalized product recommendations based on visitors' personal information that ha...
data subject rightsunstructured dataUS state privacy lawdata access requests - Question #129Legal and Regulatory Landscape
An artist has been using an AI tool to create digital art and would like to ensure that it has copyright protection in the United States. Which of the following is most likely to e...
AI copyrightintellectual propertygenerative AIcreative works - Question #130Legal and Regulatory Landscape
A French medical research center wishes to develop an AI-based system which will predict the risk of serious diseases based on the patient's genetic data. In order to do so it cont...
GDPRspecial category dataexplicit consenthealthcare data - Question #131AI Governance Program
Why must AI governance policies address third-party AI systems?
third-party AIdeployer liabilitygovernance policies - Question #132AI Governance Program
An AI system's function, the industry and the location in which it operates are important factors in considering which of the following?
internal governanceorganizational contextAI governance factors - Question #133AI Governance Program
In the context of AI governance, which of the following best describes the roles and responsibilities of a developer of a proprietary model? (Choose three.)
model developer rolesethical designethical testingregulatory compliance - Question #134AI Governance Program
CASE STUDY Please use the following to answer the next question: A mid-size US healthcare network has decided to develop an AI solution to detect a type of cancer that is most like...
impact assessmenthealthcare AIAI governance lifecycle - Question #135AI Governance Program
CASE STUDY Please use the following to answer the next question: A mid-size US healthcare network has decided to develop an AI solution to detect a type of cancer that is most like...
data accountabilityhealthcare AIAI governance rolesdata science team - Question #136AI Models and Data
CASE STUDY Please use the following to answer the next question: A mid-size US healthcare network has decided to develop an AI solution to detect a type of cancer that is most like...
data quality assessmenttraining datadataset preparation - Question #137AI Models and Data
CASE STUDY Please use the following to answer the next question: A mid-size US healthcare network has decided to develop an AI solution to detect a type of cancer that is most like...
data gap analysistraining dataAI developmentdataset evaluation - Question #138AI System Risks
CASE STUDY Please use the following to answer the next question: A mid-size US healthcare network has decided to develop an AI solution to detect a type of cancer that is most like...
privacy riskgenetic datasensitive datahealthcare AI - Question #139AI Ethics and Best Practices
When should an ethical impact assessment for AI be performed?
ethical impact assessmentAI lifecyclecontinuous monitoring - Question #140AI Models and Data
In the machine learning context, feature engineering is the process of:
feature engineeringmachine learningdata preprocessing - Question #141AI System Risks
What is the primary purpose of conducting ethical red-teaming on an AI system?
red-teamingrisk simulationAI safetyethical testing - Question #142Introduction to AI and AI Governance
A company is working to develop a self-driving car that can independently decide the appropriate route to take the driver after the driver provides an address. If they want to make...
strong AIweak AIAGIcognitive capabilities - Question #143AI Models and Data
What is the technique to remove the effects of improperly used data from an ML system?
model disgorgementtraining data remediationML lifecycledata removal - Question #144AI Models and Data
Testing data is defined as a subset of data that is used to:
testing datamodel evaluationtrain-test splitML pipeline - Question #145AI Models and Data
Training an AI model is time-consuming because of: (Choose three.)
model trainingcomputational complexitydata volumedata quality - Question #146AI System Risks
Which of the following considerations is the most important in mitigating the potential of bias in training and testing data?
data biasrepresentativenesstraining datafairness - Question #147AI Ethics and Best Practices
The most important factor in ensuring fairness when training an AI system is:
fairnessdata attributesdata variabilitybias mitigation - Question #148AI System Risks
What is the best method to apply to an AI model so that it is statistically unlikely that a specific piece of training data can be identified from a model's output?
differential privacyprivacy protectiontraining datamembership inference - Question #149AI Governance Program
CASE STUDY Please use the following to answer the next question: A leading insurance provider that offers a range of coverage options to individuals has decided to utilize AI to st...
model cardAI transparencyinsurance AIdocumentation - Question #150Legal and Regulatory Landscape
According to the EU AI Act, which of the following non-compliance examples could lead to fines of up to €15 million or three percent of their annual total worldwide turnover in the...
EU AI Actfineshigh-risk AIprovider obligations