STUDENT
ARTIFICIAL INTELLIGENCE PRACTICE TEST
Total Q: 40
Time: 40 Mins
Q 1.
Right clicking on File or Folder opens
Main Menu
Shortcut Menu
Back Menu
Front Menu
Q 2.
Select the correct features of Smart Bot :
Smart-bots are flexible and powerful
Coding is required to take this up on board
Smart bots work on bigger databases and other resources directly
All of these
Q 3.
Identify the incorrect statements from the following:
(i) AI models can be broadly categorized into four domains
(ii) Data Sciences is one of the domain of AI model.
(iii) Price comparison websites are examples of data science.
(iv) The information extracted through data science can be used to make decision about it.
only (iv)
(iii) and (iv)
only (i)
(ii) and (iii)
Q 4.
Which of the following is an application of data science?
Text summarization
Target Advertisements
Face lock in smartphones
Email filters
Q 5.
______ means a picture element which is the smallest unit of information that makes up a picture.
Vision
Pics
Pixel
Piskel
Q 6.
Under _________, one looks at various parameters which affect the problem we wish to solve, as this would make many lives better.
Problem Scoping
Data Acquisition
Problem Statement Template
Data Exploration
Q 7.
Yoga is practiced to achieve control of_________.
Muscles
Bones
Mind
Body and mind
Q 8.
The output given by the AI machine is known as ________
Prediction
Reality
True
False
Q 9.
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 10.
"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 11.
Which of the following is pronoun?
Rock
Carefully
Red
Them
Q 12.
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 13.
_______ is a simple file format that stores data separated by commas.
jpg
doc
csv
png
Q 14.
"This type of intelligence measure's one's awareness of the natural world around them and their sensitivities to any changes that occur. It allows us to identify the variation among two different species and understand how they are related".
Identify the type of intelligence described in the above sentence.
Naturalistic Intelligence
Kinesthetic Intelligence
Existential Intelligence
Linguistic Intelligence
Q 15.
Which of the following statements is true for the term Evaluation?
Helps in classifying the type and genre of a document.
It helps in predicting the topic for a corpus.
Helps in understanding the reliability of any AI model
Process to extract the important information out of a corpus.
Q 16.
_______is a domain of AI that depicts the capability of a machine to get and analyse visual information and afterwards predict some decisions about it.
NLP
Data Sciences
Augmented Reality
Computer Vision
Q 17.
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 18.
While evaluating a model's performance, recall parameter considers
(i) False positive
(ii) True positive
(iii) False negative
(iv) True negative
Choose the correct option :
only (i)
(ii) and (iii)
(iii) and (iv)
(i) and (iv)
Q 19.
Which of the following is the type of data used by NLP applications?
Images
Numerical data
Graphical data
Text and Speech
Q 20.
The 2 types of Supervised Learning models are
Classification and Regression
Clustering and Dimensionality Reduction
Rule Based and Learning Based
Classification and Clustering
Q 21.
Read the examples given below-
i. Using Chat GPT to write an email
ii. Face unlock technology of mobile phones using camera
iii. Turning off lights with IoT device
iv. Hand sanitizer dispenser having sensor
Choose the options that are not AI
i and ii
iii and i
iii and iv
i, iii and iv
Q 22.
The 4 W's Problem Canvas helps in identifying the key elements related to the given problem.
Which of the following is NOT one of the blocks of the Problem Canvas?
When
What
Where
Why
Q 23.
Assertion (A) - One can be a good singer while the other can be a great athlete.
Reason(R) - Humans possess different types of intelligences but at different levels.
Both A and R are correct and R is the correct explanation of A
Both A and R are correct but R is not the correct explanation of A
A is correct but R is not correct
A is not correct but R is correct.
Q 24.
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 25.
Recall-Evaluation method is
defined as the fraction of positive cases that are correctly identified.
defined as the percentage of true positive cases versus all the cases where the prediction is true.
defined as the percentage of correct predictions out of all the observations.
comparison between the prediction and reality
Q 26.
Raunak was learning the conditions that make up the confusion matrix. He came across a scenario in which the machine that was supposed to predict an animal was always predicting not an animal. What is this condition called?
False Positive
True Positive
False Negative
True Negative
Q 27.
Which feature of NLP helps in understanding the emotions of the people mentioned with the feedback?
Virtual Assistants
Sentiment Analysis
Text classification
Automatic Summarization
Q 28.
Choose the five stages of AI project cycle in correct order
Evaluation -> Problem Scoping -> Data Exploration -> Data Acquisition -> Modelling
Problem Scoping -> Data Exploration -> Data Acquisition -> Evaluation -> Modelling
Data Acquisition -> Problem Scoping -> Data Exploration -> Modelling -> Evaluation
Problem Scoping -> Data Acquisition -> Data Exploration -> Modelling -> Evaluation
Q 29.
When a machine possesses the ability to mimic human traits, i.e., make decisions, predict the future, learn, and improve on its own, it is said to have:
Computational Skills
Learning Capability
Artificial Intelligence
Cognitive Processing
Q 30.
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 31.
Which of the following represent a machine that is smart but not considered Artificial Intelligence (AI) enabled ?
A robotic vacuum cleaner that can navigate and clean floors autonomously.
A chatbot that engages in natural language conversations and answers questions.
A smartphone with facial recognition for unlocking the device.
A digital alarm clock that rings at a set time every morning.
Q 32.
Which of the following words represent an example of a lemma resulting from lemmatisation for "caring" in context to Natural Language Processing (NLP) ?
Care
Cared
Cares
Car
Q 33.
Which evaluation parameter takes into account the True Positives and False Positives?
Precision
Recall
F1 Score
Accuracy
Q 34.
_________________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 35.
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
Q 36.
Infrared sensors detect infrared energy that is emitted by one's body heat. When hands are placed in the proximity of the sensor, the infrared energy quickly fluctuates. This fluctuation triggers the pump to activate and dispense the designated amount of sanitizer. This is an example of
Automated machine
AI machine
Semi-automatic machine
Deep Learning machine
Q 37.
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 the same data to evaluate the model which resulted in the correct answer all the time but was not able to perform with unknown dataset. Name the concept.
Underfitting
Perfect Fit
Overfitting
True Positive
Q 38.
In this learning model, the data set which is fed to the machine is labelled. Name the model.
Supervised Learning
Unsupervised Learning
Rule Based Learning
label Based Learning
Q 39.
________ helps to find the best model that represents our data and how well the chosen model will work in future.
Problem Scoping
Data Acquisition
Data Exploration
Evaluation
Q 40.
Which domain of AI is used for interacting with virtual assistants such as Siri and Alexa?
Machine Learning (ML)
Computer Vision (CV)
Natural Language Processing (NLP)
Technical Vision (TV)