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AIGP AI GOVERNANCE PROFESSIONAL EXAM 2025– 2026 ACTUAL EXAM QUESTIONS AND ANSWERS, COMPLETE FLASH CARDS STUDY SET, ETHICS SCENARIOS & TEST BANK, LATEST UPDATED VERSION, SCORE 100%

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AIGP AI GOVERNANCE PROFESSIONAL EXAM 2025– 2026 ACTUAL EXAM QUESTIONS AND ANSWERS, COMPLETE FLASH CARDS STUDY SET, ETHICS SCENARIOS & TEST BANK, LATEST UPDATED VERSION, SCORE 100%

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AIGP AI GOVERNANCE PROFESSIONAL EXAM 2025–
2026 ACTUAL EXAM QUESTIONS AND ANSWERS,
COMPLETE FLASH CARDS STUDY SET, ETHICS
SCENARIOS & TEST BANK, LATEST UPDATED
VERSION, SCORE 100%
Which of the following are common elements in definitions of AI?
A. Technology
B. Autonomy
C. Human Development
D. Data Input

A. Technology
B. Autonomy
C. Human Development

True or False? AI and machine learning mean the same thing and can be used
interchangeably?

FALSE

An AI system studies a large set of unlabeled data and tries to detect hidden patterns
within it. What type of machine learning is being used in this example?
A. Forecasting
B. Supervised
C. Unsupervised
D. Reinforcement

C. Unsupervised
Which of the following models would be most appropriate for analysis of relationships
between two variables?
A. Linear/statistical model
B. Computer vision
C. Reinforcement learning
D. Robotics

A. Linear/statistical model
When designing and AI system, which considerations impact the choice of the underlying
hardware?

,A. Types of data used in training.
B. Complexity of the AI algorithm
C. Quality of the data labels
D. Whether the data is biased
A. Types of data used in training.
B. Complexity of the AI algorithm

You have been asked to review the AI project for IAPP/ The AI project has been delivering
faulty predictions and corrupt data pipelines. What are possible sources of these issues?
Select all that apply.
A. Inability to scale
B. Data Drift
C. Bias
D. Low data quality

B. Data Drift
C. Bias
D. Low data quality

A neural network consists of multiple layers of nodes, similar to the human brain, and
excels at complex, non-linear inferences in unstructured data. Which of the following are
examples of neural networks?
A. Computer vision
B. Speech recognition
C. Natural Language Processing
D. Linear/statistical models

A. Computer vision
B. Speech recognition
C. Natural Language Processing

Tuning can improve AI accuracy because it gives more reliable outcomes and better
insights into the data. However, tuning has it's challenges. Which of these are potential
challenges of using AI tuning?
A. Variability due to model type
B. Difficult to scale
C. Simpler AI interfaces
D. Variability due to model complexity

What was the main outcome of the Dartmouth Conference?
A. Creation of the first AI program
B. Adoption of the term Artificial Intelligent

,C. Development of the LISP programming language
D. All of the above

B. Adoption of the term Artificial Intelligent

Select the option below that marked the beginning of the era of big data
A. Advent of the internet
B. Rise of mobile technology
C. Increasing importance of data-driven decision-making
D. Increased use of databases

A. Advent of the internet
You have been asked to improve the elasticity of an AI application. During your review you
discover that the AI algorithm can only receive data from one source and the application
has a hardwired connection for storage. Based on this confirmation, choose the best course
of action.
A. Remove the central processing unit and replace with a graphical processing unit.
B. Increase the network speed to 400 gb/s
C. Replace the hardwired connection with microservices loose coupling.
D. Move the application to the cloud

C. Replace the hardwired connection with microservices loose coupling. Why: more servers
means more power. A hardwired connection is not ideal - loose connection would resolve the
issue.

True or false? There are over 50 billion devices on the internet collecting data, and the
sensor collecting data are rising. This provides an unlimited stream of data to feed AI
algorithms and development.

True
In the context of AI, which of the following are examples of the adverse impacts of
reputational harm on an organization?
A. Potential demise of the organization
B. Generative AI tools learning trade secrets
C. A drop in the organization's share price
D. Loss of customers

A. Potential demise of the organization
C. A drop in the organization's share price
D. Loss of customers

All of the following are examples of types of bias that can occur in AI systems EXCEPT:
A. Implicit bias

, B. Explicit bias
C. Sampling bias
D. Temporal bias

B. Explicit bias

Which of the following are examples of types of privacy concerns regarding the use of AI?
Select all that apply:
A. De-identify personal data.
B. Business reputation
C. Lack of transparency of use
D. Appropriation of personal data for model training

A. De-identify personal data.
C. Lack of transparency of use
D. Appropriation of personal data for model training

True or False? One of the potential negative impacts of AI use on economic opportunity is
that job opportunities may fail to reach key demographic groups due to the use of AI-
driven tools for job marketing and hiring.
True

What are the three characteristics of trustworthy AI systems?
A. Data-centric
B. Human-centric
C. Accountability
D. Transparency

B. Human-centric
C. Accountability
D. Transparency

Responsible AI practices incorporate which three of the following principles?A. Privacy
measures
B. Safety and security measures
C. Fairness and nondiscrimination
D. Training AI using anonymized and pseudonymized data only

A. Privacy measures
B. Safety and security measures
C. Fairness and nondiscrimination

True or False? The FIPS and OECD Guidelines are primarily focused on data collection,
use, protection and associated individual rights relative to personal data?

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