STUDENT
ARTIFICIAL INTELLIGENCE PRACTICE TEST
Total Q: 40
Time: 40 Mins
Q 1.
Which of the following shortcut keys is used to paste a file?
Ctrl + C
Ctrl + P
Ctrl + V
Ctrl + X
Q 2.
What are stressors in the context of stress management?
Situations that cause relaxation and calmness
Situations that do not affect an individual's well-being
Situations that lead to emotional, mental, physical, or social reactions
Situations that are always positive and desirable
Q 3.
Sarthak made a face mask detector system for which he had collected the dataset and used all the dataset to train the model. Then, he used some different data set to evaluate the model which resulted in the correct answer all the time. Name the concept.
Perfect Fit
Under Fitting
Over Fitting
Correct Fit
Q 4.
A _______________is divided into multiple layers and each layer is further divided into several blocks called nodes.
Neural Networks
Convolutional Neural Network (CNN)
Machine learning algorithm
Hidden Layers
Q 5.
Give one example of an application which uses augmented reality.
Self Driving Car
Price Comparison Website
Pocket Assistants
Targeted Advertising
Q 6.
Bag of Words is a ______ model which helps in extracting features out of the text which can be helpful in machine learning algorithms.
Data Science (DS)
Virtual Reality (VR)
Natural Language Processing (NLP)
Computer Vision (CV)
Q 7.
Which of the following does not come under self-employment?
Cooking in a restaurant
Owning a clothing business
Having a dosa selling stall
Running a home bakery
Q 8.
"Efforts are made to increase the solar power generation so that our electricity needs are met and at the same time we do not pollute the environment or use up natural resources". Which SDG can you relate this statement to?
Life on land
Clean water and sanitation
Affordable and clean energy
Reduced inequalities
Q 9.
Priya is building a chatbot to answer questions about her school website. The chatbot understands and replies in English. Which domain of AI is being used?
Computer Vision
Statistical Data
Natural Language Processing
Expert Systems
Q 10.
Which of the following is pronoun?
Rock
Carefully
Red
Them
Q 11.
Differentiate between Prediction and Reality.
Prediction is the input given to the machine to receive the expected result of the reality.
Prediction is the output given to match the reality.
The prediction is the output which is given by the machine and the reality is the real scenario in which the prediction has been made.
Prediction and reality both can be used interchangeably.
Q 12.
Which of the following is a feature of document classification ?
Helps in classifying the type and genre of a document.
Helps in creating a document.
Helps to display important information of a corpus.
Helps in including the necessary words in the text body.
Q 13.
For better efficiency of an AI project Training data should be _______
i) Relevant
ii) Scattered
iii) Structured
iv) Authentic
Choose the correct option:
Both i and ii
Both i and iv
Only i
Only iv
Q 14.
What is the pixel value of black?
0
1
255
256
Q 15.
An AI system that analyses photographs and videos belongs to which domain?
NLP
Computer Vision
Statistical Data
None of the above
Q 16.
_________________is the sub-field of AI that is focused on enabling computers to understand and process human languages.
Deep Learning
Machine Learning
NLP
Data Sciences
Q 17.
Which of the following statements is not true about overfitting models?
This model learns the pattern and noise in the data to such extent that it harms the performance of the model on the new dataset
Training result is very good and the test result is poor
It interprets noise as patterns in the data
The training accuracy and test accuracy both are low
Q 18.
The 2 types of Supervised Learning models are
Classification and Regression
Clustering and Dimensionality Reduction
Rule Based and Learning Based
Classification and Clustering
Q 19.
Before deploying a robot nurse in a hospital, the company ensures it won't give wrong medicine or harm patients. This is an example of:
Justice
Non-maleficence
Utility
Autonomy
Q 20.
You are using past temperature data to predict tomorrow's temperature. Which model would be appropriate?
Classification Model
Clustering Model
Regression Model
Association Model
Q 21.
What is the primary need for evaluating an AI model's performance in the AI Model Development process?
To increase the complexity of the model.
To visualize the data.
To assess how well the chosen model will work in future.
To reduce the amount of data used for training.
Q 22.
What is the key concern of the virtue-based ethical framework?
Protecting rights
Model transparency
Character and intention of individuals
Accuracy of predictions
Q 23.
Which of the following is the first step in the stages of Natural Language Processing (NLP)?
Semantic Analysis
Lexical Analysis
Pragmatic Analysis
Discourse Integration
Q 24.
After completing and testing an AI model that recommends healthy food, Sameer added it to his school's website. This step is called:
Evaluation
Modeling
Deployment
Problem Scoping
Q 25.
Two conditions when prediction matches with the reality are true positive and _______
True Negative
False Positive
False Negative
Negative False
Q 26.
It refers to the unsupervised learning algorithm which can cluster the unknown data according to the patterns or trends identified out of it.
Regression
Classification
Clustering
Dimensionality reduction
Q 27.
___________ is an example of Applications of Natural Language Processing.
Evaluation
Automatic Summarization
Deep Learning
Problem Scoping
Q 28.
Choose the six stages of AI project cycle in correct order
Evaluation -> Problem Scoping -> Data Exploration -> Data Acquisition -> Modelling --> Deployment
Problem Scoping -> Data Exploration -> Data Acquisition -> Evaluation -> Modelling --> Deployment
Data Acquisition -> Problem Scoping -> Data Exploration -> Modelling -> Evaluation --> Deployment
Problem Scoping -> Data Acquisition -> Data Exploration -> Modelling -> Evaluation --> Deployment
Q 29.
Look at the two documents:
Document 1: We can use health chatbots for treating stress.
Document 2: We can use NLP to create chatbots and we will be making health chatbots now!
Identify the term in which we can categorise the word 'Chatbots'
Stop word
Rare word
Frequent word
Removable word
Q 30.
Which of the following is a correct feature of Neural network?
It can improve efficiency of two models.
It is useful with small dataset.
They are modelled on human brains and nervous system.
They need human intervention.
Q 31.
Why is it important to consider both precision and recall in model evaluation?
Because they are the only metrics available
Because they provide a complete picture of the model's performance, especially in imbalanced datasets
Because they are easier to calculate than accuracy
Because they are not influenced by the dataset size
Q 32.
Ayushi was learning about NLP. She wanted to know the term used for the whole textual data from all the documents altogether. Help her in identifying the term used for it.
Corpus
Sentence Segmentation
Token
Punctuator
Q 33.
Identify the algorithm based on the given graph
Dimensionality reduction
Classification
Clustering
Regression
Q 34.
Which evaluation parameter takes into account the True Positives and False Positives?
Precision
Recall
F1 Score
Accuracy
Q 35.
An AI is trained to suggest books to students based on their previous reading habits. What is this process of using old data to suggest new actions called?
Evaluation
Deployment
Problem Scoping
Modeling
Q 36.
What is the ideal metric to use when dataset is unbalanced and you want to consider both FP and FN?
Accuracy
Precision
Recall
F1 Score
Q 37.
Statement 1: There are four layers in a neural network.
Statement2: The first layer of the neural network is known as the output layer.
Both Statement1 and Statement2 are correct
Both Statement1 and Statement2 are incorrect
Statement1 is correct but Statement2 is incorrect
Statement2 is correct but Statement1 is incorrect
Q 38.
During which stage is data converted into graphs and charts to find patterns?
Data Acquisition
Modeling
Data Exploration
Deployment
Q 39.
For _________ the whole corpus is divided into sentences. Each sentence is taken as a different data so now the whole corpus gets reduced to sentences.
Text Regulation
Sentence Segmentation
Tokenisation
Stemming
Q 40.
Divya was learning neural networks. She understood that there were three layers in a neural network. Help her identify the layer that does processing in the neural network.
Output layer
Hidden layer
Input layer
Data layer