AIGP Practice Test COMPLETE QUESTIONS AND ANSWERS 2024-2025
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1. Which of the following are common elements in defi- A. Technology
nitions of AI? B. Autonomy
A. Technology C. Human Devel-
B. Autonomy opment
C. Human Development
D. Data Input
2. True or False? AI and machine learning mean the FALSE
same thing and can be used interchangeably?
3. An AI system studies a large set of unlabeled data and C. Unsupervised
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
4. Which of the following models would be most ap- A. Linear/statisti-
propriate for analysis of relationships between two cal model
variables?
A. Linear/statistical model
B. Computer vision
C. Reinforcement learning
D. Robotics
5. When designing and AI system, which considerations A. Types of data
impact the choice of the underlying hardware? used in training.
A. Types of data used in training. B. Complexity of
B. Complexity of the AI algorithm the AI algorithm
C. Quality of the data labels
D. Whether the data is biased
6. You have been asked to review the AI project for IAPP/ B. Data Drift
The AI project has been delivering faulty predictions C. Bias
and corrupt data pipelines. What are possible sources D. Low data quality
of these issues? Select all that apply.
A. Inability to scale
B. Data Drift
, AIGP Practice Test COMPLETE QUESTIONS AND ANSWERS 2024-2025
100% RATED CORRECT, 100% SURE PASS!1
Study online at https://quizlet.com/_gazrui
C. Bias
D. Low data quality
7. A neural network consists of multiple layers of nodes, A. Computer vi-
similar to the human brain, and excels at complex, sion
non-linear inferences in unstructured data. Which of B. Speech recog-
the following are examples of neural networks? nition
A. Computer vision C. Natural Lan-
B. Speech recognition guage Processing
C. Natural Language Processing
D. Linear/statistical models
8. 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
9. What was the main outcome of the Dartmouth Confer- B. Adoption of the
ence? term Artificial Intel-
A. Creation of the first AI program ligent
B. Adoption of the term Artificial Intelligent
C. Development of the LISP programming language
D. All of the above
10. Select the option below that marked the beginning of A. Advent of the in-
the era of big data ternet
A. Advent of the internet
B. Rise of mobile technology
C. Increasing importance of data-driven deci-
sion-making
D. Increased use of databases
11. You have been asked to improve the elasticity of an AI C. Replace the
application. During your review you discover that the hardwired connec-
AI algorithm can only receive data from one source tion with microser-
100% RATED CORRECT, 100% SURE PASS!1
Study online at https://quizlet.com/_gazrui
1. Which of the following are common elements in defi- A. Technology
nitions of AI? B. Autonomy
A. Technology C. Human Devel-
B. Autonomy opment
C. Human Development
D. Data Input
2. True or False? AI and machine learning mean the FALSE
same thing and can be used interchangeably?
3. An AI system studies a large set of unlabeled data and C. Unsupervised
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
4. Which of the following models would be most ap- A. Linear/statisti-
propriate for analysis of relationships between two cal model
variables?
A. Linear/statistical model
B. Computer vision
C. Reinforcement learning
D. Robotics
5. When designing and AI system, which considerations A. Types of data
impact the choice of the underlying hardware? used in training.
A. Types of data used in training. B. Complexity of
B. Complexity of the AI algorithm the AI algorithm
C. Quality of the data labels
D. Whether the data is biased
6. You have been asked to review the AI project for IAPP/ B. Data Drift
The AI project has been delivering faulty predictions C. Bias
and corrupt data pipelines. What are possible sources D. Low data quality
of these issues? Select all that apply.
A. Inability to scale
B. Data Drift
, AIGP Practice Test COMPLETE QUESTIONS AND ANSWERS 2024-2025
100% RATED CORRECT, 100% SURE PASS!1
Study online at https://quizlet.com/_gazrui
C. Bias
D. Low data quality
7. A neural network consists of multiple layers of nodes, A. Computer vi-
similar to the human brain, and excels at complex, sion
non-linear inferences in unstructured data. Which of B. Speech recog-
the following are examples of neural networks? nition
A. Computer vision C. Natural Lan-
B. Speech recognition guage Processing
C. Natural Language Processing
D. Linear/statistical models
8. 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
9. What was the main outcome of the Dartmouth Confer- B. Adoption of the
ence? term Artificial Intel-
A. Creation of the first AI program ligent
B. Adoption of the term Artificial Intelligent
C. Development of the LISP programming language
D. All of the above
10. Select the option below that marked the beginning of A. Advent of the in-
the era of big data ternet
A. Advent of the internet
B. Rise of mobile technology
C. Increasing importance of data-driven deci-
sion-making
D. Increased use of databases
11. You have been asked to improve the elasticity of an AI C. Replace the
application. During your review you discover that the hardwired connec-
AI algorithm can only receive data from one source tion with microser-
