1 | Page
Practice Test for AIGP Questions and
Answers
Which of the following are common elements in definitions of AI?
A. Technology
B. Autonomy
C. Human Development
D. Data Input
Ans: A. Technology
B. Autonomy
C. Human Development
True or False? AI and machine learning mean the same thing and
can be used interchangeably?
Ans: 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
Ans: 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
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Ans: 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
Ans: 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
Ans: 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
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, 3 | Page
Ans: 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
Ans:
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
Ans: 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
Ans: 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.
© 2025 All rights reserved
Practice Test for AIGP Questions and
Answers
Which of the following are common elements in definitions of AI?
A. Technology
B. Autonomy
C. Human Development
D. Data Input
Ans: A. Technology
B. Autonomy
C. Human Development
True or False? AI and machine learning mean the same thing and
can be used interchangeably?
Ans: 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
Ans: 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
© 2025 All rights reserved
, 2 | Page
Ans: 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
Ans: 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
Ans: 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
© 2025 All rights reserved
, 3 | Page
Ans: 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
Ans:
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
Ans: 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
Ans: 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.
© 2025 All rights reserved
