ARTIBA PRACTICE EXAMS
Which shortest-path search problem requires each node to be
visited exactly once along the path?
A. Map Coloring Problem
B. P vs NP Problem
C. The Halting Problem
D. Travelling Salesman Problem
D. Travelling Salesman Problem
What kind of result does one get upon applying conditional
probability and the Bayes rule to a problem?
A. An estimated value with variable uncertainty
B. An estimated value with 50% uncertainty
C. An estimated value with 75% uncertainty
D. An exact value with zero uncertainty
A. An estimated value with variable uncertainty
What can a Bayesian network be classified as?
A. Directed Acrylic Graph
B. Bipartite Graph
C. Directed Cyclic Graph
D. Undirected Acrylic Graph
A. Directed Acrylic Graph
Which of the following is/are underlying idea(s) of probabilistic
reasoning?
A. Causal modeling
B. Observation/Measurement
C. Likelihood estimation
D. All of the above
, D. All of the above
In knowledge representation, what can be used to build complex
statements from simple ones?
A. Symbols
B. Connectives
C. Quantifiers
D. None of the above
B. Connectives
Which among the following refers to applying machine learning
methods to large databases?
A. Data mining
B. Database administration
C. Big data analysis
D. Predictive analytics
A. Data mining
What is PEAS short for in reference to the task environment of an
AI agent?
A. Peers, Environment, Actuators, Senses
B. Performance, Environment, Actuators, Sensors
C. Perceivers, Environment, Actuators, Sensors
D. Performance, Engagement, Actuators, Senses
B. Performance, Environment, Actuators, Sensors
Which of these are challenges faced in supervised machine
learning?
A. The data used needs to be labelled, which takes time and
expertise.
B. Human error can creep into datasets leading to flawed
algorithms.
C. The data cannot be classified and clustered by itself, unlike
Which shortest-path search problem requires each node to be
visited exactly once along the path?
A. Map Coloring Problem
B. P vs NP Problem
C. The Halting Problem
D. Travelling Salesman Problem
D. Travelling Salesman Problem
What kind of result does one get upon applying conditional
probability and the Bayes rule to a problem?
A. An estimated value with variable uncertainty
B. An estimated value with 50% uncertainty
C. An estimated value with 75% uncertainty
D. An exact value with zero uncertainty
A. An estimated value with variable uncertainty
What can a Bayesian network be classified as?
A. Directed Acrylic Graph
B. Bipartite Graph
C. Directed Cyclic Graph
D. Undirected Acrylic Graph
A. Directed Acrylic Graph
Which of the following is/are underlying idea(s) of probabilistic
reasoning?
A. Causal modeling
B. Observation/Measurement
C. Likelihood estimation
D. All of the above
, D. All of the above
In knowledge representation, what can be used to build complex
statements from simple ones?
A. Symbols
B. Connectives
C. Quantifiers
D. None of the above
B. Connectives
Which among the following refers to applying machine learning
methods to large databases?
A. Data mining
B. Database administration
C. Big data analysis
D. Predictive analytics
A. Data mining
What is PEAS short for in reference to the task environment of an
AI agent?
A. Peers, Environment, Actuators, Senses
B. Performance, Environment, Actuators, Sensors
C. Perceivers, Environment, Actuators, Sensors
D. Performance, Engagement, Actuators, Senses
B. Performance, Environment, Actuators, Sensors
Which of these are challenges faced in supervised machine
learning?
A. The data used needs to be labelled, which takes time and
expertise.
B. Human error can creep into datasets leading to flawed
algorithms.
C. The data cannot be classified and clustered by itself, unlike
