List of top Data Science Questions asked in CBSE Class Twelve Board Exam

A website selling products uses recommendation engines to predict what products a customer is likely to purchase. This functionality is achieved through:

The following graph represents:

The following diagram represents:

The following histogram represents:

Define the term clustering. Support your answer with a real life example.
What is Root Mean Square Deviation? Why is it used in data analysis?
List any four advantages of using a decision tree methodology.
Name any two clustering methods.
Explain Multivariate Analysis in detail. Give at least one example to support your answer.
Text documents are often grouped based on their content similarity to efficiently organize and categorise them for information retrieval systems and recommendation engines.
Identify and define the unsupervised learning method utilized in this context.
Mention any two points of differentiation between Regression trees and Classification trees.
Aarush started a business 6 months back. It has been noted that his income increases exponentially every month.
(a) Identify the appropriate regression model to illustrate Aarush’s score trend.
(b) Write the formula/equation for the regression model.
(c) Draw a sample chart with dummy data depicting the above discussed regression model.
Name one type of chart/graph suitable for analysing a single variable (univariate analysis) and one type for analyzing the relationship between two variables (bivariate analysis).
Explain cross-validation in data analysis.
Which problem-solving approach does the K-means algorithm employ?
COPPA stands for ............... Online Privacy Protection Act.
When determining the line of best fit in linear regression, which method is used to minimize the deviation of the line from the actual data points?
Which statement correctly describes the use of regression and classification trees based on the nature of the dependent variable?
Consider the formula given below:
y ~ f(x, β)
where x is a vector of independent variables and y is the dependent variable.
Identify the type of regression from the following.
Prediction of house prices in a city depends on factors such as the number of bedrooms, size of the house (square footage), location and age of the property. Which analysis technique is appropriate for this scenario?
Which fundamental principle does the K-Nearest Neighbours (K-NN) algorithm operate on?
What is a significant application of unsupervised learning in anomaly detection?
State if the following statement is True or False:
``Clustering Techniques apply when the instances are to be divided into natural groups.''
Which of the following defines data privacy?
Which type of variable does linear regression predict?