Big Data MCQs – T4Tutorials.com

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1. : Which of the following is a wrong statement?
(A) The big volume actually represents Big Data
(B) Big Data is just about tons of data
(C) The data growth and social media explosion have improved how we look at the data
(D) All of these

2. : Which of the following is a correct statement?
(A) Machine learning emphasizes on prediction, based on well-known properties learned from the training data
(B) Data Cleaning emphasizes on prediction, based on well-known properties learned from the training data
(C) Both A and B
(D) None of these

3. : Which of the big data characteristic is comparatively more concerned with data science?
(A) Variety
(B) Velocity
(C) Volume
(D) None of these

4. : Which of the following analytical competencies are offered by information management corporations?
(A) Stream Computing
(B) Content Management
(C) Information Integration
(D) All of these

5. : Which step is executed by the data scientist after obtaining the data?
(A) Data Replication
(B) Data Integration
(C) Data Cleansing
(D) All of these

6. : Which of the following emphasizes on the discovery of earlier properties that are not known on the data?
(A) Machine Learning
(B) Big Data
(C) Data wrangling
(D) Data mining

7. : What is the total number of outcomes that are possible with the Bernoulli trial?
(A) 1
(B) 2
(C) 3
(D) None of these

8. : Which of the following is a statistical process of analysis for guessing the relationships among variables?
(A) Causal
(B) Multivariate
(C) Regression
(D) All of these

9. : Which of the following is the wrong statement?
(A) The addition of squared terms makes it twice continuously differentiable at the knot points
(B) The addition of squared terms makes it continuously differentiable at the knot points
(C) Typically, Asymptotics is used for inference
(D) None of these

10. : How many total components are present in generalized linear models?
(A) 2
(B) 4
(C) 6
(D) None of these

11. : Which of the following is the wrong statement?
(A) Transformations are often easy to interpret in a linear model
(B) Additive response models don’t make much sense if the response is discrete, or strictly positive
(C) Regression models are helpful to predict one variable from one or more other variables
(D) All of these

12. : Which component is involved in generalized linear models?
(A) An exponential family model for the response
(B) A link function that connects the means of the response to the linear predictor
(C) A systematic component via a linear predictor
(D) All of these

13. : Collection of exchangeable binary outcomes for the same covariate data are commonly known as which of the following outcomes?
(A) Random
(B) Binomial
(C) Direct
(D) None of these

14. : Which is an example use of Poisson distribution?
(A) Analyzing contingency table data
(B) Incidence rates
(C) Modeling web traffic hits
(D) All of these

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By: Prof. Dr. Fazal Rehman | Last updated: April 30, 2025

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