CBSE Class 10 Artificial Intelligence Project Cycle MCQs

Question. The AI Project Cycle mainly has ________ stages
a. 2
b. 3
c. 5
d. 9

Answer : C

Question. Problem scoping is ________________
a. Identifying a problem and having a vision to solve it.
b. Collecting data
c. Test your model on some newly fetched data.
d. Research online and select various models which give a suitable output.

Answer : A

Question. __________ are the people who face this problem (identified by you) and would be benefited with the solution.
a. Stakeholders
b. Staker
c. Problem holder
d. None of the above

Answer : A

Question. Ananya is talking about the various stages of AI Project cycle. She is telling that, in this stage we acquire data for the project. She is talking about ______________ stage of AI Project Cycle.
a. Problem Scoping
b. Data Exploration
c. Data Acquisition
d. Modelling

Answer : C

Question. Ways by which you can collect data for your AI Project is _____
a. Surveys
b. Cameras
c. Sensors
d. All of the above

Answer : D

Question. In ___________ approach we fed the data along with rules to the machine and the machine after getting trained on them is now able to predict answers for the same.
a. Rule based
b. Learning based
c. Machine learning
d. Deep learning

Answer : A

Question. In a ___________ learning model, the dataset which is fed to the machine is labelled.
a. Supervised
b. Unsupervised
c. Reinforcement
d. All of the above

Answer : A

Question. A _________ model works on unlabelled dataset.
a. supervised learning
b. unsupervised learning
c. reinforcement learning
d. None of the above

Answer : B

Question. _________ refers to the unsupervised learning algorithm which can cluster the unknown data according to the patterns or trends identified out of it.
a. Clustering
b. Dimensionality Reduction
c. Non Clustering
d. None of the above

Answer : A

Question. The advantage of neural network is _____
a. They are able to extract data features automatically without needing the input of the programmer.
b. It is a fast and efficient way to solve problems for which the dataset is very large.
c. Both of the above
d. None of the above

Answer : C

Question. In neural network, the whole processing occurs in ______
a. Input Layer
b. Output Layer
c. Processing Layer
d. Hidden Layer

Answer : D

Question. Which of the following is the first stage of AI Project Cycle?
a. Data Exploration
b. Evaluation
c. Problem Scoping
d. Modelling

Answer : C

Question. Which block of 4W helps in analysing the people getting affected directly or indirectly due to problem?
a. Where
b. What
c. Who
d. Why

Answer : C

Question. The stage after “Problem Scoping’ in AI Project Cycle is ___
a. Data Exploration
b. Evaluation
c. Modelling
d. Data Acquisition

Answer : D

Question. Data features refer to ________.
a. the features of data
b. the data from internet.
c. the type of data you want to collect
d. None of the above

Answer : C

Question. A drawback/feature for rule based approach is ________
a. Learning is static.
b. The machine will not learn from its mistake.
c. Once trained, the model cannot improvise itself on the basis of feedback.
d. All of the above.

Answer : D

Question. ______________ type of Supervised Learning models work only on continuous data.
a. Classification
b. Regression
c. Both of the above
d. None of the above

Answer : A

Question. Type of Unsupervised learning models is _____
a. Clustering
b. Dimensionality Reduction
c. Both of the above
d. None of the above

Answer : C

Question. Which of the following parameter is used to calculate the efficiency of the model?
a. Accuracy
b. Precision
c. F1 Score
d. All of the above

Answer : D

Question. In neural network, no processing occurs in ______
a. Input Layer
b. Output Layer
c. Both of the above
d. Hidden Layer

Answer : C

Question. The _________ hidden layer passes the final processed data to the output layer which then gives it to the user as the final output.
a. Second
b. First
c. Last
d. Third

Answer : C

Question. Evaluation is the _________ stage of AI Project Cycle.
a. First
b. Last
c. Second
d. Third

Answer : B

Question. Which of the following is not 4W of Problem Scoping?
a. Who
b. What
c. Whose
d. Why

Answer : C

Question. We use the 4Ws Problem Canvas in ____________ stage of AI Project Cycle.
a. Data Acquisition
b. Modelling
c. Evaluation
d. Problem Scoping

Answer : D

Question. Which of the following is an open-sourced government portals?
a. data.gov.in
b. india.gov.in
c. Both of the above
d. None of the above

Answer : C

Question. ______________ approach introduces the dynamicity in the AI model.
a. Machine learning
b. Rule based
c. Both of the above
d. None of the above

Answer : A

Question. ________ means that the data which is fed to the machine is random and there is a possibility that the person who is training the model does not have any information regarding it.
a. Labelled dataset
b. Partial dataset
c. Unlabelled dataset
d. Complete dataset

Answer : C

Question. Humans are able to visualise up to _____________
a. 1-Dimensions
b. 2-Dimensions
c. 3-Dimensions
d. N-Dimensions

Answer : C

Question. A Neural Network is divided into multiple layers and each layer is further divided into several blocks called _________
a. Neuron
b. Nerve
c. Node
d. Nervous

Answer : C

Question. There can be multiple hidden layers in a neural network system. (T/F)
a. True
b. False

Answer : A

Question. Under __________ we look at various parameters which affect the problem we wish to solve so that the picture becomes clearer.
a. Evaluation
b. Modelling
c. Data Exploration
d. problem scoping

Answer : D

Question. In ______________ block of 4W, we need to focus on the context/situation/location of the problem.
a. What
b. Where
c. Who
d. Why

Answer : B

Question. Aman want to make an Artificially Intelligent system which can predict the salary of any employee based on his previous salaries. He has to feed the data of his previous salaries. This is the data with which the machine can be trained. The previous salary data here is known as ____________ while the next salary prediction data set is known as the ___________
a. Testing Data, Training Data
b. Training Data, Testing Data
c. Training Data, Next Data
d. First Data, Testing Data

Answer : B

Question. Which of the following is visual representation of data?
a. Bar graph
b. Map
c. Histogram
d. All of the above

Answer : D

Question. Supervised Learning is the sub category of ____________
a. Rules based approach
b. Learning based approach
c. Both of the above
d. None of the above

Answer : B

Question. ________________ type of supervised learning model works on discrete dataset which means the data need not be continuous.
a. Classification
b. Regression
c. Both of the above
d. None of the abov

Answer : A

Question. Sonal wants to identify relationships, patterns and trends out of the random data. Which of the following learning model is suitable for her?
b. Unsupervised
a. Supervised
c. Reinforcement
d. None of the above

Answer : B

Question. The first layer of a Neural Network is known as the _____
a. Work layer
b. Output layer
c. Input layer
d. Check layer

Answer : C

Question. Which of the following is a correct feature of a Neural Network?
a. Neural Network Systems are modelled on the human brain and nervous system.
b. They are able to automatically extract features without input from the programmer.
c. It is useful to solve problems for which the data set is very large.
d. All of the above

Answer : D

Question. The 4W’s of Problem Scoping are:
a. Who, What, Whose, Why
b. Who, What, Where, Why
c. Who, What, Where, Whose
d. Who, What, Whom, Whose

Answer : B

Question. _____________ is the last ‘W’ in 4W Problem Canvas.
a. What
b. Why
c. Where
d. Who

Answer : B

Question. ________ refers to the AI modelling where the machine learns by itself
a. Rules based approach
b. Learning based approach
c. Deep learning
d. Machine learning

Answer : B

Question. Aman have a random data of 1000 dog images. He wish to understand some pattern out of it, so he would feed this data into the ______ and would train the machine on it.
a. supervised learning model
b. unsupervised learning model
c. reinforcement learning model
d. None of the above

Answer : B

Question. Which algorithm is used to reduce the dimension of an entity?
a. Dimensionality Reduction
b. Clustering
c. Classification
d. Regression

Answer : A

Question. Under the _______ block, you need to determine the nature of the problem.
a. Where
b. Why
c. What
d. Who

Answer : C

Question. For better efficiency of an AI project, the Training data needs to be and ____
a. relevant and useless
b. relevant and authentic
c. irrelevant and useful
d. relevant and not required

Answer : B

Question. ________________ approach refers to the AI modelling where the rules are defined by the developer.
a. Rule based
b. Learning based
c. Machine learning
d. Deep learning

Answer : A

Question. Classification and Regression are two types of ________________
a. Supervised Learning Models
b. Unsupervised Learning Models
c. Reinforcement Learning Models
d. All of the above

Answer : A

Question. What happen to an entity when we reduce its dimension?
a. The information which it contains is lost.
b. The information which it contains is increased.
c. The information which it contains is remain same.
d. None of the above

Answer : A

Question. The job of an input layer in Neural network is _______
a. to acquire and feed data.
b. to process data.
c. to present data
d. None of the above

Answer : A