ARTIFICIAL INTELLIGENCE (417)

Time Allowed: 2 Hours                                                    Maximum Marks: 50

General Instructions:

1. Please read the instructions carefully.
2. This Question Paper consists of 21 questions in two sections – Section A & Section B.
3. Section A has Objective type questions whereas Section B contains Subjective type questions.
4. Out of the given (5 + 16 =) 21 questions, a candidate has to answer (5 + 10 =) 15 questions in the allotted (maximum) time of 2 hours.
5. All questions of a particular section must be attempted in the correct order.
6. SECTION A – OBJECTIVE TYPE QUESTIONS (24 MARKS):
   i. This section has 05 questions.
   ii. There is no negative marking.
   iii. Do as per the instructions given.
   iv. Marks allotted are mentioned against each question/part.
7. SECTION B – SUBJECTIVE TYPE QUESTIONS (26 MARKS):
   i. This section contains 16 questions.
   ii. A candidate has to do 10 questions.
   iii. Do as per the instructions given.
   iv. Marks allotted are mentioned against each question/part.

SECTION A: OBJECTIVE TYPE QUESTIONS

Q. 1       Answer any 4 out of the given 6 questions on Employability Skills (1 x 4 = 4 marks)

i.        How much % of the communication that we do in our day-to-day communication is non-verbal?

a) 55%

b) 93%

c) 7%

d) 38% 

ii.       ‘Prepare yourself for new changes, so that you can transition seamlessly’. Which term can you relate the given sentence to?

1. Self-awareness
2. Responsibility
3. Adaptability
4. Time-management                                                                                                                  

iii._______is the ability to plan and control how you spend the hours of your day well and do all that you want to do.                                                                                                                             

iv.      Which key opens the start menu?

1. Ctrl key
2. Alt key
3. Shift key
4. Windows key                                                                                                                           

v.       Ravi’s customer comes to his store and starts shouting at him. He does not get

angry. He listens to what his customer is saying. He is                           .

1. hardworking
2. confident
3. patient
4. trying new ideas                                                                                                                       

vi.      Statement1: Economic development is using up resources of the world.

Statement2: This would have serious environmental problems, much worse than those that we are facing at present.

1. Both Statement1 and Statement2 are correct
2. Both Statement1 and Statement2 are incorrect
3. Statement1 is correct but Statement2 is incorrect
4. Statement2 is correct but Statement1 is incorrect                                                            

Q. 2       Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)

i.            What is NLP?                                                                                                                   

ii.           Mention any two common applications of NLP.                                                         

iii.          Name two popular pocket assistants.                                                                          

iv.          This is a fact that all human beings have all nine types of intelligence, but at different levels. Name any two such intelligences.                                                                                   

v.           Name the process of dividing the whole corpus into sentences.                              

vi.          With reference to the evaluation process of understanding the reliability of an AI model, define the term True Positive.                                                                                                     

Q. 3       Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)

i.        Identify the incorrect statement from the following:

• AI models can be categorised into four domains
• Data Science is one of the domains of AI models.
• Price comparison websites are examples of Data Science.
• The information extracted through Data Science can be used to make decision about it.
  • Only (iv)
  • (iii) and (iv)
  • Only (i)
  • (ii) and (iii)                                                                                                                          

ii. When AI is merged with the Internet of Things, it can lead to  ______  of data that allows remote access to internet-connected devices and appliances to communicate.

1. Storage
2. Cloud Computing
3. Automation
4. Processing                                                                                                                                 

iii.      During Data Acquisition feeding previous data into the machines called:

1. Training Data
2. Testing Data
3. Resultant Data
4. Predicting Data                                                                                                                         

iv.      Identify the algorithm based on the given graph:

1. Dimensionality Reduction
2. Classification
3. Clustering
4. Regression

                                                                                                                              

v.       What will be the outcome, if the Prediction is “No” and it does not match with the Reality? What will be the outcome, if the Prediction is “Yes” and it does not match the Reality.

1. True Negative, False Negative
2. False Negative, False Positive
3. True Negative, False Positive
4. True Positive, False Positive                                                                                                   

vi.      The False Negative value is 5 and the true positive value is 20. What will be the value of Recall?

a) 0.2

b) 0.6

c) 0.8

d) 0.3  

Q. 4       Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)

i.        Identify the incorrect domain-application pair from the following:

• Data Science: Price Comparison websites
• Computer Vision: Image Processing Software
• Natural Language Processing: Alexa
• Artificial Intelligence: Spreadsheet
  • Only (iv)
  • (i) and (iii)
  • (ii) and (iv)
  • (iii) and (iv)                                                                                                                        

ii. Neural network is involved in one of the following.

1. Algorithm
2. Deep Learning
3. Supervised Learning
4. Evaluation                                                                                                                                 

iii.      Give an example of an Unsupervised Learning Model?

1. Regression
2. Classification
3. Clustering
4. Rule Based and Learning Based                                                                                              

iv.      What is prediction?

1. Prediction is the input given to the machine.
2. Prediction is the real scenario.
3. The prediction is the output which is given by the machine.
4. Prediction is the expected result of reality.                                                                       

v.  ______is defined as the fraction of positive cases that are correctly identified.

1. Precision
2. Accuracy
3. Recall
4. F1 Score                                                                                                                                    

vi.      Words that occur in all documents with high-term frequencies have least value and are called:

1. New Words
2. Stop Words
3. Old words
4. Start Words                                                                                                                              

Q. 5       Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)

i.        Evaluation is a process of understanding the reliability of any AI model, based on outputs by feeding a test dataset into the model and comparing with actual answers. Therefore, it must be followed by:

1. Problem Scoping
2. Data Acquisition
3. Data Exploration
4. Deployment                                                                                                                              

ii.  The    data is resourced from other sources like the Internet and not collected by the users themselves.

1. Primary
2. Secondary
3. Structured
4. Unstructured                                                                                                                            

iii.   In ________ design is adaptive to change in data, which results in dynamicity of a model.

1. Learning based Approach
2. Rule based Approach
3. Supervised
4. Data Exploration                                                                                                                      

iv.      Which of the following best describes Machine Learning (ML)?

1. A technique that enables machines to understand and respond to human voice commands
2. A subset of AI that allows machines to improve their accuracy through experience
3. A technology that designs neural networks for AI
4. A method to create intelligent machines without using data                                           

v.       Which task involves identifying the object and its location in an image?

1. Object Detection
2. Image Classification
3. Classification + Localisation
4. Instance Segmentation                                                                                                           

vi.      Which of the following Computer Vision tasks is most likely used in automated vehicle parking systems?

1. Object Detection
2. Image Classification
3. Audio Recognition
4. Speech Processing 

                                                                                                                          

    SECTION B: SUBJECTIVE TYPE QUESTIONS

Answer any 3 out of the given 5 questions on Employability Skills (2 x 3 = 6 marks)

Part A: Employability Skills

Q. 6 Feedback is the final component and one of the most important factors in the process of communication. Give two reasons to justify why feedback is important.

Q. 7 In SMART goals, what does ‘R’ stand for? Explain.

Q. 8 Enlist any two methods to protect our data on the computer.

Q. 9 What do entrepreneurs do when they run their business? Mention any two points.

Q. 10 Raj has a small convenience store in his locality. There are many other convenience stores in the area. Yet, Raj’s store survives the competition and does well. Which stage of an entrepreneur’s career process can you relate this to? Explain.

Answer any 4 out of the given 6 questions in 20 – 30 words each (2 x 4 = 8 marks)

Q. 11 What is Dimensionality Reduction?

Q. 12 Explain any one example of AI bias.

Q. 13 Aman is a beginner in the field of NLP and is trying to understand the process of stemming. Help him in filling up of the following table by suggesting   appropriate affixes and stem of the words given below:

Word	Affixes	Stem
Tries
Learning

Q. 14 What is Tokenization? Count how many tokens are present in the following statement?

The grass is always greener on the other side of the fence.

Q. 15 Define Confusion Matrix.

Q. 16 With reference to the Evaluation stage of AI project cycle, explain the term Accuracy. Also give its formula.

 Answer any 3 out of the given 5 questions in 50 – 80 words each (4 x 3 = 12 marks)

Q. 17 Following is the corpus and performs the various tasks that follow.

Corpus

Document 1: I took my dog out for a walk.

Document 2: It really enjoyed the walk.

1. Sentence segmentation
2. Tokenization
3. Stop words Removal
4. Lowercase conversion

Q. 18 With reference to NLP, Explain the following terms in detail with a help of an example:

1. Term frequency
2. Inverse Document frequency

Q. 19 Paul is a beginner in the field of Artificial Intelligence. He is confused among the core terms of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL). Many times these terms are used interchangeably, but are they the same? Justify your answer. Help him in understanding these terms by drawing a well labelled diagram to depict the interconnection of these terms.

Q. 20 Recently the country has been shaken by many earthquakes, which has done many damage to humans and infrastructure. To address this issue, an AI model is created which can predict if there’s a chance of an earthquake or not. The confusion matrix for the same is given below:

	Reality (Yes)	Reality (No)
Predicted (Yes)	50	05
Predicted (No)	25	20

1. How many total cases are True Negative in the above scenario?
2. Calculate Precision, Recall and F1 Score

Q. 21 What is the significance of the AI project cycle? Explain in detail how Data Acquisition and different from Data Exploration.