,WGU D797 Artificial Intelligence & Machine Learning Foundations – 100
Questions & Answers | VERIFIED OA PREP | GUARANTEED PASS 2026.
Question 1
Which of the following best defines Artificial Intelligence (AI)?
A. A system that only processes numerical data
B. A system that mimics human intelligence to perform tasks
C. A database management system
D. A programming language
Correct Answer: B
Rationale: AI refers to systems that simulate human intelligence such as learning, reasoning,
and problem-solving.
🔹 Question 2
What is Machine Learning (ML)?
A. A type of database
B. A subset of AI that allows systems to learn from data
C. A programming paradigm
D. A networking protocol
Correct Answer: B
Rationale: ML is a branch of AI that enables systems to learn patterns from data without explicit
programming.
🔹 Question 3
Which type of machine learning uses labeled datasets?
A. Unsupervised learning
B. Reinforcement learning
C. Supervised learning
D. Deep learning
,Correct Answer: C
Rationale: Supervised learning uses labeled data where inputs are paired with correct outputs.
🔹 Question 4
Which algorithm is commonly used for classification tasks?
A. Linear Regression
B. Decision Trees
C. K-Means
D. PCA
Correct Answer: B
Rationale: Decision Trees are widely used for classification problems.
🔹 Question 5
What is overfitting in machine learning?
A. Model performs poorly on training data
B. Model learns noise instead of patterns
C. Model is too simple
D. Model ignores features
Correct Answer: B
Rationale: Overfitting occurs when a model memorizes training data including noise, reducing
generalization.
🔹 Question 6
Which metric is used for classification evaluation?
A. Mean Squared Error
B. Accuracy
, C. R-squared
D. Variance
Correct Answer: B
Rationale: Accuracy measures the proportion of correct predictions in classification.
🔹 Question 7
What is the purpose of training data?
A. To evaluate model performance
B. To build and train the model
C. To visualize results
D. To deploy models
Correct Answer: B
Rationale: Training data is used to teach the model patterns.
🔹 Question 8
What is a feature in ML?
A. Output variable
B. Input variable
C. Model parameter
D. Evaluation metric
Correct Answer: B
Rationale: Features are input variables used to make predictions.
🔹 Question 9
Which learning type does NOT use labeled data?
Questions & Answers | VERIFIED OA PREP | GUARANTEED PASS 2026.
Question 1
Which of the following best defines Artificial Intelligence (AI)?
A. A system that only processes numerical data
B. A system that mimics human intelligence to perform tasks
C. A database management system
D. A programming language
Correct Answer: B
Rationale: AI refers to systems that simulate human intelligence such as learning, reasoning,
and problem-solving.
🔹 Question 2
What is Machine Learning (ML)?
A. A type of database
B. A subset of AI that allows systems to learn from data
C. A programming paradigm
D. A networking protocol
Correct Answer: B
Rationale: ML is a branch of AI that enables systems to learn patterns from data without explicit
programming.
🔹 Question 3
Which type of machine learning uses labeled datasets?
A. Unsupervised learning
B. Reinforcement learning
C. Supervised learning
D. Deep learning
,Correct Answer: C
Rationale: Supervised learning uses labeled data where inputs are paired with correct outputs.
🔹 Question 4
Which algorithm is commonly used for classification tasks?
A. Linear Regression
B. Decision Trees
C. K-Means
D. PCA
Correct Answer: B
Rationale: Decision Trees are widely used for classification problems.
🔹 Question 5
What is overfitting in machine learning?
A. Model performs poorly on training data
B. Model learns noise instead of patterns
C. Model is too simple
D. Model ignores features
Correct Answer: B
Rationale: Overfitting occurs when a model memorizes training data including noise, reducing
generalization.
🔹 Question 6
Which metric is used for classification evaluation?
A. Mean Squared Error
B. Accuracy
, C. R-squared
D. Variance
Correct Answer: B
Rationale: Accuracy measures the proportion of correct predictions in classification.
🔹 Question 7
What is the purpose of training data?
A. To evaluate model performance
B. To build and train the model
C. To visualize results
D. To deploy models
Correct Answer: B
Rationale: Training data is used to teach the model patterns.
🔹 Question 8
What is a feature in ML?
A. Output variable
B. Input variable
C. Model parameter
D. Evaluation metric
Correct Answer: B
Rationale: Features are input variables used to make predictions.
🔹 Question 9
Which learning type does NOT use labeled data?
