UGRD-CYBS6101 Artificial Intelligence Fundamentals Midterm Exam Source (2026/2027) | Questions and Answer Key | Mark Scheme | Fully Verified

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UGRD-CYBS6101 Artificial Intelligence
Fundamentals
MIDTERM EXAM SOURCE
100% CORRECT
ALL YELLOW HIGHLIGHT IS THE CORRECT ANSWER


Question 1
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The linkage criterion is a popular choice for hierarchical clustering, which
merges the two clusters that have the maximum distance between them.

Select one:
a.
Centroid
b.
Average
c.
Complete
d.
Single




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Question 2
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What is KNIME used for?

Select one:
a.
All of the above
b.
Data mining
c.
Data visualization
d.
Data analysis

Question 3
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What is the main idea behind the Hebb rule?

Select one:
a.
Neurons that fire at the same time, wire together
b.
Neurons that fire in the same direction, wire together
c.
Neurons that fire together, wire together
d.
Neurons that fire in opposite directions, wire together

Question 4
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What is a key characteristic of Bayesian networks?

Select one:
a.
They are based on probability theory




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b.
They use linear algebra for prediction
c.
They use decision trees for prediction
d.
They are trained on large amounts of data

Question 5
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What is the process of identifying and correcting errors in data called?

Select one:
a.
Sampling
b.
Normalizing
c.
Filtering
d.
Cleaning

Question 6
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Which of the following is NOT a feature of KNIME?

Select one:
a.
Flow-based programming
b.
Machine learning
c.
Data storage
d.
Data transformation

Question 7
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Question text
What is the process of discovering patterns in large data sets called?

Select one:
a.
Data mining
b.
Data collection
c.
Data analysis
d.
Data visualization

Question 8
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What are some advantages of batch learning algorithms?

Select one:
a.
They can learn from very large datasets
b.
They can learn from streaming data in real-time
c.
They can learn from a small amount of data
d.
They can learn from a limited amount of resources

Question 9
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Question text
What is the technical term for a node in a directed acyclic graph (DAG)?

Select one:
a.
Graph
b.
Cycle
c.
Vertex




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