Students find these Class 12 AI MCQ Chapter 2 Model Lifecycle Class 12 MCQ Online Test with Answers helpful for self-assessment and preparation.
Class 12 AI Model Lifecycle MCQ
MCQ on Model Lifecycle Class 12
Class 12 Model Lifecycle MCQ – Model Lifecycle MCQ Class 12
Multiple Choice Questions
Question 1.
Choose Correct Option
a. Scope >> Acquire >> Explore >> Prepare >> Model >> Assess >> Deploy >> Batch
b. Scope >> Acquire >> Explore >> Prepare >> Model >> Deploy >> Real Time >> Batch
c. Scope >> Acquire >> Prepare >> Assess >> Deploy >> Batch >> Real Time >> Explore
d. Scope >> Acquire >> Explore >> Model >> Prepare >> Assess >> Deploy >> Batch
Answer:
d. Scope >> Acquire >> Explore >> Model >> Prepare >> Assess >> Deploy >> Batch
Question 2.
Which of these statements about deep learning programming frameworks are true?
1) A programming framework allows you to code up deep learning algorithms with typically fewer lines of code than a lower-level language such as Python.
2) Even if a project is currently open source, good governance of the project helps ensure that the it remains open even in the long term, rather than become closed or modified to benefit only one company.
3) Deep learning programming frameworks require cloud-based machines to run.
a. 1
b. 1 & 2
c. 1, 2 & 3
d. 1 & 3
Answer:
a. 1
Question 4.
Why do we normalize the inputs x ?
a. Normalization is another word for regularization-It helps to reduce, variance
b. It makes it easier to visualize the data
c. It makes the cost function faster to optimize
d. It makes the parameter initialization faster
Answer:
c. It makes the cost function faster to optimize
Question 5.
Which of the following statement is False in the case of the KNN Algorithm?
a. For a very large value of K, points from other classes may be included in the neighborhood.
b. For the very small value of K, the algorithm is very sensitive to noise.
c. KNN is used only for classification problem statements.
d. KNN is a lazy learner.
Answer:
c. KNN is used only for classification problem statements.
Question 6.
The robotic arm will be able to paint every corner in the automotive parts while minimizing the quantity of paint wasted in the process. Which learning technique is used in this problem?
a. Supervised Learning.
b. Unsupervised Learning.
c. Reinforcement Learning.
d. Both (a) and (b)
Answer:
c. Reinforcement Learning.
Question 7.
Which of the following is FALSE about Correlation and Covariance?
a. A zero correlation does not necessarily imply independence between variables.
b. Correlation and covariance values are the same.
c. The covariance and correlation are always the same sign.
d. Correlation is the standardized version of Covariance.
Answer:
b. Correlation and covariance values are the same.
Question 8.
In AI development which framework is used?
a. Scikit-learn
b. Tkinter
c. PyCharm
d. Matplotlib
Answer:
a. Scikit-learn
Question 9.
Which of the following is not a development tool in building an AI model?
a. TensorFlow
b. Azure ML Studio
c. Anaconda
d. Sagemaker
Answer:
a. TensorFlow
Question 10.
Which of the following do not fall under problem scoping?
a. Desire outcome of the project
b. Anticipate key resources and steps
c. Data acquisition
d. Define the success metrics
Answer:
c. Data acquisition
Question 11.
Which of the following is not a development tool in building an AI model?
a. Tensor Flow
b. Azure ML Studio
c. Anaconda
d. Sage maker
Answer:
a. Tensor Flow
Question 12.
The following are the objectives of the testing team in AI modeling.
(i) Model Validation
(ii) Successful Learn ability
(iii) Accurate Results
(iv) Algorithm Effectiveness
Choose the correct option
a (i), (ii) and (iii)
b (i) and (ii)
c (ii), (iii) and (iv)
d (i), (ii) and (iv)
Answer:
d (i), (ii) and (iv)
Question 13.
During ______ phase, you need to evaluate the various AI development platforms.
a. Design
b. Requirement analysis
c. Development
D. Testing
Answer:
a. Design
Question 14.
In Design Thinking, ______ phase involves gathering user feedback on the prototypes you’ve created as well as obtaining a better understanding of your users.
a) Prototype
b) Test
c) Ideate
d) Empathize
Answer:
b) Test
Question 15.
The design phase of the AI Model Life Cycle is an ……….. process.
(a) compact
(b) permanent
(c) periodic
(d) iterative
Answer:
(d) iterative
Question 16.
In this phase, we define the project’s strategic business objectives and desired outcomes, align all stakeholders’ expectations as well as establish success metrics. Identify this phase of the AI Model Life Cycle.
(a) Design
(b) Scoping
(c) Evaluation
(d) Data Collection
Answer:
(b) Scoping
Question 17.
Data Validation for human biases is conducted in ……….. phase of AI Model Life Cycle.
(a) Scoping
(b) Data Collection
(c) Design
(d) Testing
Answer:
(d) Testing
Question 18.
Match the following
1)In this stage, conduct research to better understand your users – A. Prototype
2) In this stage, research to observe user’s current problems – B. Test
3) Stage to arrive at various creative solutions – C. Empathize
4) Stage that build representations of one or more ideas – D. Ideate
5) In this stage, model is checked and gain user feedback – E. Define
a) 1=D, 2=B, 3=E, 4=A, 5=C
b) 1=C, 2=E, 3=D, 4=A, 5=B
c) 1=D, 2=B, 3=C, 4=E, 5=A
d) 1=E, 2=A, 3=D, 4=C, 5=B
Answer:
b) 1=C, 2=E, 3=D, 4=A, 5=B
Fill in the Blanks:
Question 1.
AI model life cycle consists of _______ phases.
Answer:
Three
Question 2.
In the data exploration stage ______ is done to locate missing values.
Answer:
Data cleaning
Question 3.
_______ is the process through which several models based on graphical data can be constructed.
Answer:
Modelling ‘
Question 4.
The ______ is the set of data that was utilized to fit the model.
Answer:
Training data set
Question 5.
The ______ is also called as a hold out data set.
Answer:
Test data set
Question 6.
______ is a useful choice for evaluating classification model.
Answer:
Accuracy
Question 7.
Phase three stage of the model life cycle is divided into ______ and _____.
Answer:
Deployment and feedback
Question 8.
The ______ helps to identify key factor related to the problem
Answer:
4WS canvas problem
Question 9.
Once the modeling is complete the model is tested with ____.
Answer:
Test data
Question 10.
In ____ we specify whether the problem can be solved with the help of AI or not?
Answer:
Problem scoping
State True or False
Question 1.
Deployment is the final stage of AI model life cycle.
Answer:
True
Question 2.
ML engineers by one model get their best model configuration.
Answer:
False
Question 3.
In AI modeling data is divided into three parts.
Answer:
False
Question 4.
Once the model is complete, testing data is used to validate the AI model.
Answer:
True
Question 5.
In the design stage, the various AI development platforms like Scikit-learn, Watson studio etc are evaluated.
Answer:
True
Question 6.
Human biases in picking test data does not have a negative impact on the testing phase.
Answer:
False
Question 7.
AI model life cycle, is an iterative or cyclic process.
Answer:
True
Question 8.
Project planning and data collection phase is divided into three stages: problem scoping,data acquisition and data exploration.
Answer:
True
Question 9.
In data analysis, data should be collected from credible sources.
Answer:
True
Question 10.
Data collection and data exploration is not an essential part of model life cycle.
Answer:
False
Assertion-Reasoning Based Questions
Study the two statements labeled as assertion (a) and reason (r).
Point out if:
(a) Both, a and r, are true and r is the correct explanation of a
(b) Both, a and r, are true but r is not the correct explanation of a
(c) If a is true but r is false
(d) If a is false but r is true
(e) Both A and R are false.
Question 1.
Assertion(A): If the collected data is not relevant the effective AI algorithm built will collapse Reason (R): The whole AI model is based on data
Answer:
(a) Both, a and r, are true and r is the correct explanation of a
Question 2.
Assertion (A): Every AI project follows six steps: Problem definition, data collection, feature definition, AI model construction, Evaluation, and deployment.
Reason (R): There is no AI solution for everything.
Answer:
b
Question 3.
Assertion (A): Problem definition is the initial stage of the problem.
Reason (R): In this stage it is decided, whether operation of artificial intelligence is the solution to the problem or not.
Answer:
(a) Both, a and r, are true and r is the correct explanation of a
Question 4.
Assertion(A): In the model evaluation stage, quality of the model is assessed. The model undergoes diagnostic measure phases and statistical significance testing phase.
Reason(R): Model evaluation stage does not help in interpreting the efficacy of the model.
Answer:
(c) If a is true but r is false
Question 5.
Assertion(A): The used data is splitted into three categories: model data, training data and testing data. Reason (R): The machine learning model works around 20 \%-80 \% between testing and training stages.
Answer:
(d) If a is false but r is true
Case based Questions:
Question 1.
By profession Mohini’s father is a scientist but he loves farming, he used to make different equipment related to cultivation and farming. He also owns a hectors of farming land. So, he built a robotic arm that can cut the crops in any adverse condition. So, what do you think which learning technique he must have used in his robotics arm?
a. Supervised Learning.
b. Unsupervised Learning.
c. Reinforcement Learning.
d. Both (a) and (b)
Answer:
c. Reinforcement Learning.
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