Artificial Intelligence Governance AIGP Dumps Updated Oct 20, 2026 – DumpTorrent [Q115-Q138]

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Artificial Intelligence Governance AIGP Dumps | Updated Oct 20, 2026 – DumpTorrent

Master 2026 Latest The Questions Artificial Intelligence Governance and Pass AIGP Real Exam!

IAPP AIGP Exam Overview:

Certification Vendor: IAPP
Exam Name: IAPP Certified Artificial Intelligence Governance Professional
Exam Number: AIGP
Exam Duration: 150 minutes
Exam Format: Multiple-choice
Available Languages: English
Exam Price: USD 550
Certificate Validity Period: 2 Years
Real Exam Qty: 100
Passing Score: 300
Related Certifications: CIPP/A
CIPP/E
CIPP/US
CIPM
CIPT
Sample Questions: IAPP AIGP Sample Questions
Exam Way: Online (OnVUE) or Test Center (Pearson VUE)
Pre Condition: No specific prerequisites. Recommended background in privacy, compliance, legal, or technology.
Official Syllabus URL: https://iapp.org/certify/aigp/

 

QUESTION 115
A company developing and deploying its own AI model would perform all of the following steps to monitor and evaluate the model’s performance EXCEPT?

 
 
 
 

QUESTION 116
In the machine learning context, feature engineering is the process of?

 
 
 
 

QUESTION 117
Scenario:
A company using AI for resume screening understands the risks of algorithmic bias and the evolving legal requirements across jurisdictions. It wants to implement the right governance controls to prevent reputational damage from misuse of the AI hiring tool.
Which of the following measures should the company adopt to best mitigate its risk of reputational harm from using the AI tool?

 
 
 
 

QUESTION 118
You are an engineer that developed an AI-based ad recommendation tool.
Which of the following should be monitored to evaluate the tool ‘ s effectiveness?

 
 
 
 

QUESTION 119
Which stakeholder is responsible for lawful collection of data for the training of the foundational AI model?

 
 
 
 

QUESTION 120
All of the following may be permissible uses of an AI system under the EU AI Act EXCEPT:

 
 
 
 

QUESTION 121
CASE STUDY
Please use the following answer the next question:
A mid-size US healthcare network has decided to develop an Al solution to detect a type of cancer that is most likely arise in adults. Specifically, the healthcare network intends to create a recognition algorithm that will perform an initial review of all imaging and then route records a radiologist for secondary review pursuant agreed-upon criteria (e.g., a confidence score below a threshold).
To date, the healthcare network has taken the following steps: defined its Al ethical principles: conducted discovery to identify the intended uses and success criteria for the system: established an Al governance committee; assembled a broad, crossfunctional team with clear roles and responsibilities; and created policies and procedures to document standards, workflows, timelines and risk thresholds during the project.
The healthcare network intends to retain a cloud provider to host the solution and a consulting firm to help develop the algorithm using the healthcare network ‘ s existing data and de-identified data that is licensed from a large US clinical research partner.
In the design phase, what is the most important step for the healthcare network to take when mapping its existing data to the clinical research partner data?

 
 
 
 

QUESTION 122
After initially deploying a third-party AI model, you learn the developer has released a new version. As deployer of this third-party model, what should you do?

 
 
 
 

QUESTION 123
All of the following are required for high-risk AI systems under the EU AI Act EXCEPT?

 
 
 
 

QUESTION 124
CASE STUDY
A company is considering the procurement of an AI system designed to enhance the security of IT infrastructure. The AI system analyzes how users type on their laptops, including typing speed, rhythm and pressure, to create a unique user profile. This data is then used to authenticate users and ensure that only authorized personnel can access sensitive resources.
All of the following are obligations of the company as a data controller when implementing its AI system EXCEPT?

 
 
 
 

QUESTION 125
Which of the following may be permissible uses of an AI system under the EU AI Act EXCEPT?

 
 
 
 

QUESTION 126
Which of the following would be the least likely step for an organization to take when designing an integrated compliance strategy for responsible AI?

 
 
 
 

QUESTION 127
Which of the following use cases would be best served by a non-AI solution?

 
 
 
 

QUESTION 128
What is most likely the first action that a developer takes to map, plan and scope an AI project?

 
 
 
 

QUESTION 129
CASE STUDY
Please use the following answer the next question:
A local police department in the United States procured an Al system to monitor and analyze social media feeds, online marketplaces and other sources of public information to detect evidence of illegal activities (e.g., sale of drugs or stolen goods). The Al system works by surveilling the public sites in order to identify individuals that are likely to have committed a crime. It cross-references the individuals against data maintained by law enforcement and then assigns a percentage score of the likelihood of criminal activity based on certain factors like previous criminal history, location, time, race and gender.
The police department retained a third-party consultant assist in the procurement process, specifically to evaluate two finalists. Each of the vendors provided information about their system’s accuracy rates, the diversity of their training data and how their system works. The consultant determined that the first vendor’s system has a higher accuracy rate and based on this information, recommended this vendor to the police department.
The police department chose the first vendor and implemented its Al system. As part of the implementation, the department and consultant created a usage policy for the system, which includes training police officers on how the system works and how to incorporate it into their investigation process.
The police department has now been using the Al system for a year. An internal review has found that every time the system scored a likelihood of criminal activity at or above 90%, the police investigation subsequently confirmed that the individual had, in fact, committed a crime. Based on these results, the police department wants to forego investigations for cases where the Al system gives a score of at least 90% and proceed directly with an arrest.
The best human oversight mechanism for the police department to implement is that a police officer should?

 
 
 
 

QUESTION 130
Which risk category addresses situations where AI systems behave in ways inconsistent with their intended objectives?

 
 
 
 

QUESTION 131
Which of the following best defines an “Al model”?

 
 
 
 

QUESTION 132
Under the Canadian Artificial Intelligence and Data Act, when must the Minister of Innovation, Science and Industry be notified about a high-impact AI system?

 
 
 
 

QUESTION 133
Which model is best for efficiency and agility, and tailored for lower-resource settings?

 
 
 
 

QUESTION 134
All of the following areunique characteristics of AIthat require a comprehensive approach to governanceEXCEPT?

 
 
 
 
 

QUESTION 135
What is the most important factor when deciding whether or not to select a proprietary AI model?

 
 
 
 

QUESTION 136
CASE STUDY
Please use the following to answer the next question:
A global marketing agency is adapting a large language model (“LLM”) to generate content for an upcoming marketing campaign for a client’s new product: a hard hat designed for construction workers of any gender to better protect them from head injuries.
The marketing agency is accessing the LLM through an application programming interface (“API”) developed by a third-party technology company. They want to generate text to be used for targeted advertising communications that highlight the benefits of the hard hat to potential purchasers. Both the marketing agency and the technology company have taken reasonable steps to address AI governance.
The marketing company has:
– Entered into a contract with the technology company with suitable
representations and warranties.
– Completed an impact assessment on the LLM for this intended use.
– Built technical guidance on how to measure and mitigate bias in the
LLM.
– Enabled technical aspects of transparency, explainability, robustness and privacy.
– Followed applicable regulatory requirements.
– Created specific legal statements and disclosures regarding the use
of the AI on its client’s advertising.
The technology company has:
– Provided guidance and resources to developers to address
environmental concerns.
– Build technical guidance on how to measure and mitigate bias in the
LLM.
– Provided tools and resources to measure bias specific to the LLM.
– Enabled technical aspects of transparency, explainability, robustness and privacy.
– Mapped and mitigated potential societal harms and large-scale
impacts.
– Followed applicable regulatory requirements and industry standards.
– Created specific legal statements and disclosures regarding the LLM,
including with respect to IP and rights to data.
All of the following results would be considered biased outputs from this AI system EXCEPT:

 
 
 
 

QUESTION 137
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?

 
 
 
 

QUESTION 138
When monitoring the functional performance of a model that has been deployed into production, all of the following are concerns EXCEPT:

 
 
 
 

IAPP AIGP Exam Syllabus Topics:

Topic Details
Topic 1
  • Understanding How to Govern AI Development: This section of the exam measures the skills of AI project managers and covers the governance responsibilities involved in designing, building, training, testing, and maintaining AI models. It emphasizes defining the business context, performing impact assessments, applying relevant laws and best practices, and managing risks during model development. The domain also includes establishing data governance for training and testing, ensuring data quality and provenance, and documenting processes for compliance. Additionally, it focuses on preparing models for release, continuous monitoring, maintenance, incident management, and transparent disclosures to stakeholders.
Topic 2
  • Understanding How Laws, Standards, and Frameworks Apply to AI: This section of the exam measures skills of compliance officers and covers the application of existing and emerging legal requirements to AI systems. It explores how data privacy laws, intellectual property, non-discrimination, consumer protection, and product liability laws impact AI. The domain also examines the main elements of the EU AI Act, such as risk classification and requirements for different AI risk levels, as well as enforcement mechanisms. Furthermore, it addresses the key industry standards and frameworks, including OECD principles, NIST AI Risk Management Framework, and ISO AI standards, guiding organizations in trustworthy and compliant AI implementation.
Topic 3
  • Understanding the Foundations of AI Governance: This section of the exam measures skills of AI governance professionals and covers the core concepts of AI governance, including what AI is, why governance is needed, and the risks and unique characteristics associated with AI. It also addresses the establishment and communication of organizational expectations for AI governance, such as defining roles, fostering cross-functional collaboration, and delivering training on AI strategies. Additionally, it focuses on developing policies and procedures that ensure oversight and accountability throughout the AI lifecycle, including managing third-party risks and updating privacy and security practices.
Topic 4
  • Understanding How to Govern AI Deployment and Use: This section of the exam measures skills of technology deployment leads and covers the responsibilities associated with selecting, deploying, and using AI models in a responsible manner. It includes evaluating key factors and risks before deployment, understanding different model types and deployment options, and ensuring ongoing monitoring and maintenance. The domain applies to both proprietary and third-party AI models, emphasizing the importance of transparency, ethical considerations, and continuous oversight throughout the model’s operational life.

 

A fully updated 2026 AIGP Exam Dumps exam guide from training expert DumpTorrent: https://www.dumptorrent.com/AIGP-braindumps-torrent.html

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