AI and Machine Learning Fundamentals - Practice Test
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  2. Practice Tests
  3. AI and Machine Learning Fundamentals

AI and Machine Learning Fundamentals - Practice Test

2025-07-13
Jaspreet Jaspreet

Duration

10 min

Questions

20

Marking

Negative

Test Currently Unavailable

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Questions Preview

What is Artificial Intelligence?

A
Systems that perform tasks requiring human intelligence
B
Algorithms that learn patterns from data
C
Neural networks with multiple layers
D
Understanding and generating human language

What is Machine Learning?

A
Systems that perform tasks requiring human intelligence
B
Algorithms that learn patterns from data
C
Neural networks with multiple layers
D
Understanding and generating human language

What is Deep Learning?

A
Systems that perform tasks requiring human intelligence
B
Algorithms that learn patterns from data
C
Neural networks with multiple layers
D
Understanding and generating human language

What is Natural Language Processing?

A
Systems that perform tasks requiring human intelligence
B
Algorithms that learn patterns from data
C
Neural networks with multiple layers
D
Understanding and generating human language

In the SimpleNeuralNetwork class, what activation function is used?

A
ReLU
B
Sigmoid
C
Tanh
D
Softmax

What problem is used as an example for testing the SimpleNeuralNetwork?

A
AND problem
B
OR problem
C
XOR problem
D
NAND problem

Which library is used for sentiment analysis in the document?

A
sklearn
B
transformers
C
nltk
D
pandas

What does TF-IDF stand for?

A
Term Frequency-Inverse Document Frequency
B
Text Frequency-Inverse Data Frequency
C
Token Frequency-Inverse Document Frequency
D
Term Frequency-Inverse Data Frequency

Which sentence transformer model is used in the embeddings example?

A
all-MiniLM-L12-v2
B
all-MiniLM-L6-v2
C
all-mpnet-base-v2
D
distilbert-base-uncased

What metric is used to calculate similarity between sentence embeddings?

A
Euclidean distance
B
Manhattan distance
C
Cosine similarity
D
Jaccard similarity

Which algorithm is used for the spam email classifier?

A
Support Vector Machine
B
Random Forest
C
Multinomial Naive Bayes
D
Logistic Regression

What is the test size used in the spam classifier's train-test split?

A
0.2
B
0.25
C
0.3
D
0.4

In the chatbot example, what type of chatbot is implemented?

A
Retrieval-based chatbot
B
Rule-based intent classifier
C
Generative chatbot
D
Transformer-based chatbot

Which Python library is used for regular expressions in the chatbot?

A
regex
B
re
C
pattern
D
match

What is the linear regression equation format shown in the code example?

A
y = mx + b
B
y = 2x + 1 + noise
C
y = ax² + bx + c
D
y = e^x + c

Which NLTK components are downloaded in the text processing example?

A
punkt, stopwords, wordnet
B
punkt, stopwords, vader_lexicon
C
averaged_perceptron_tagger, stopwords, wordnet
D
punkt, vader_lexicon, wordnet

What is the purpose of the lemmatizer in the TextProcessor class?

A
To remove stopwords
B
To convert words to their base form
C
To tokenize sentences
D
To convert text to lowercase

Which platform is mentioned for free GPU access?

A
AWS
B
Google Colab
C
Azure
D
Paperspace

What is the next module mentioned after completing the fundamentals?

A
Module 2: Advanced Neural Networks
B
Module 2: Agentic AI Concepts
C
Module 2: Computer Vision
D
Module 2: Reinforcement Learning

Which book by Christopher Bishop is recommended for further learning?

A
Machine Learning: A Probabilistic Perspective
B
Pattern Recognition and Machine Learning
C
The Elements of Statistical Learning
D
Deep Learning