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MCQs

Total Questions : 10
Question 1. Which of the following is good way of performing experiments in data science ?
  1.    Measure variability
  2.    Generalize to the problem
  3.    Have Replication
  4.    All of the Mentioned
 Discuss Question
Answer: Option D. -> All of the Mentioned


Experiments on causal relationships investigate the effect of one or more variables on one or more outcome variables.


Question 2. Which of the following step is performed by data scientist after acquiring the data ?
  1.    Data Cleansing
  2.    Data Integration
  3.    Data Replication
  4.    All of the Mentioned
 Discuss Question
Answer: Option A. -> Data Cleansing


Data cleansing, data cleaning or data scrubbing is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database.


Question 3. Which of the following approach should be used to ask Data Analysis question ?
  1.    Find only one solution for particular problem
  2.    Find out the question which is to be answered
  3.    Find out answer from dataset without asking question
  4.    None of the mentioned
 Discuss Question
Answer: Option B. -> Find out the question which is to be answered


Data analysis has multiple facets and approaches.


Question 4. Which of the following systems record changes to a file over time ?
  1.    Record Control
  2.    Version Control
  3.    Forecast Control
  4.    None of the mentioned
 Discuss Question
Answer: Option B. -> Version Control


Version control is also known as revision control.


Question 5. Which of the following command allows you to update the repository ?
  1.    push
  2.    pop
  3.    update
  4.    None of the Mentioned
 Discuss Question
Answer: Option A. -> push


The git branch command is your general-purpose branch administration tool.


Question 6. Which of the following technique comes under practical machine learning ?
  1.    Bagging
  2.    Boosting
  3.    Forecasting
  4.    None of the Mentioned
 Discuss Question
Answer: Option B. -> Boosting


Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor.


Question 7. Which of the following relationship are usually identified as average effects ?
  1.    Descriptive
  2.    Causal
  3.    Predictive
  4.    None of the Mentioned
 Discuss Question
Answer: Option B. -> Causal


A correlation is a measure or degree of relationship between two variables.


Question 8. Which of the following uses data on some object to predict values for other object ?
  1.    Inferential
  2.    Exploratory
  3.    Predictive
  4.    None of the Mentioned
 Discuss Question
Answer: Option C. -> Predictive


A prediction is a forecast, but not only about the weather.


Question 9. Which of the following is correct way of creating GitHub repository in to well labelled commits ?
  1.    Fork another user's repository
  2.    Pop another user's repository
  3.    Zip another user's repository
  4.    None of the Mentioned
 Discuss Question
Answer: Option A. -> Fork another user's repository


A fork is a copy of a repository.


Question 10. Which of the following is a revision control system ?
  1.    Git
  2.    NumPy
  3.    Slidify
  4.    None of the mentioned
 Discuss Question
Answer: Option A. -> Git


Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.


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