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B Long ans er type uestions
1. List four considerations that should be kept in mind during the testing phase.
Ans. • The volume of test data can be huge, that provides data complexities
• Human biases in picking test data might have a negative impact on the testing phase; thus, data validation is
critical.
• The testing team should put the AI and ML algorithms through rigorous testing while maintaining model
validity and keeping successful learning ability, and algorithm efficacy in mind.
• Also, due to the sheer volume of data, performance testing is critical.
2. Explain the terms overfitting, underfitting and perfect fit in terms of model testing.
Ans. • ver itting: A model is overfitted when it is trained with a lot of data. The model does not categorise the data
correctly as there are too many details. To avoid overfitting, model complexity must be reduced.
• Underfitting: It usually happens when we have less data to build an accurate model. The AI model or the
algorithm does not fit the data well enough. To avoid underfitting, the training period must be increased to get
better results.
• Perfect fit: This happens when our model is able to predict with good accuracy on both testing and validation
data. This happens with correct set of all the hyperparameters.
3. Create a 4W Project Canvas for the following:
It makes no difference whether you are in the driver's or passenger's seat. We've all been stuck in traffic for hours.
Long, never-ending lines and blasting horns are a regular occurrence in any metropolis. Despite the fact that our
modes of mobility have advanced significantly in recent years, our traffic management systems have struggled to
keep up with the increase in the number of cars. AI, on the other hand, has the potential to provide a solution to this
problem. Siemens Mobility has developed a prototype of a monitoring system that employs artificial intelligence
(AI) via surveillance cameras placed along the rails. Cameras detect the number of vehicles in real-time and send the
data to a control centre, where algorithms compute traffic density. The system adjusts the sequence of traffic lights
on the roads based on this information.
Ans.
UR stakeholders People stranded in tra c ams
HAS/HAVE PROBLEM THAT issue, problem, need raffic ams cause inconvenience to public WHAT
WHEN/WHILE conte t, situation oor traffic management causes long traffic WHERE
queues, reduced productivity, delays, wastage of fuel and air pollution
AN IDEAL SOLUTION benefit of solution to them An effective AI solution that ill detect WHY
the number of vehicles on road and thus compute/control the
sequence of traffic lights.
Compet
ased questions:
ased/Application-b
C. Competency-based/Application-based questions:
ency-b
1. Consider the following statements containing an assertion and a reason:
Select the appropriate option for the statements given above:
a. Both A and R are true and R is the correct explanation of A
b. Both A and R are true and R is not the correct explanation of A
c. A is true but R is false
d. A is False but R is true
i. Assertion (A): Before beginning to build a solution, it is critical to first understand the problem description and
business limitations.
Reason (R): Business limitations assist you in realising the required solution's quality and terms.
Ans. a
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