IMTC634  Data Science

 

1. is also known as linear optimization

• Linear programing 

• Goal Programming 

• Multi-criteria Optimization 

• All of them

2. The aim of is to improved decision making for businesses. 

• Business analytics 

• Business intelligence 

• Machine learning 

• Cloud computing

3. Refers to a technique used to make decisions in organization and analyze physical system 

• process 

• Optimization 

• Programming 

• None of them

4. Provides an efficient way to find Flickr images_ 

• D3

• pics  

• Tag Galaxy 

• Arc

5. The approach is designed with the help of the nominalized enterprise data model. 

• Information delivery 

• Bottom-up

• Horizontal

• Verticals

6. It is an improved form of linear regression. 

• Ordinal regression 

• Logistic regression 

• Ridge regression 

• Polygonal regression

 

7. Which of the following is not a type of text summarization? 

• Extractive summarization 

• Indicative summarization 

• Initiative summarization 

• Informative summarization

8. Which of the following is also called as data driven decision making? 

• Data-Driven Decision Management 

• Data-Directed Decision Management 

• Data- Oriented Decision-Making 

• Data Analyzed Decision Making

9. The first step in a decision-making process. 

• Analyze the problem 

• Identity the problem 

• Collect relevant data 

• Ensure feedback

10. Can include both simple data conversions as well as extremely complex data scrubbing techniques at the same time_ 

• Data transformation

• Data extraction 

• Data load 

• Data cleaning

11. Totally depends on the time when the data is to be extracted 

• Full extraction 

• Incremental extraction 

• Physical extraction 

• All of them

12. is used to represent logical relations between finite collections of sets 

• Venn Diagram 

• Map 

• Streamline

• Iso surface

 

13. It is processofturing any analogue image, sound or into digital format-understandable by the electronic and computers 

• Cloud computing 

• Artificial intelligence 

• Digitization

• All

14. Which of the following is not a technique of decision making? 

• Operations research 

• Models 

• Simulations

• PIay theory

15. Which of the following is not a type of data visualization.

• Linear 

• Planner

• Temporal

• Decision

16. Which of the following is the last step in the decision-making process? 

• Analyze the problem 

• Identity the problem 

• Collect relevant data 

• Ensure feedback

17. Which of the following is not a type of supervised learning algorithms? 

• Decision Trees 

• Linear Regression 

• Nearest Neighbor

• Multiple Regressions

18. A distribution is the one wherein only two outcomes are possible for all the trails and every trail's result is independent of the other 

• Normal

• Uniform 

• Bernaumial

• Binomial

19. Which of the following is not a text mining technique? 

• Topic modeling 

• Term frequency 

• Event extraction 

• Emotional analysis

20. Is a statistical method used to model a relationship between two or more variables of interest? 

• Regression analysis 

• Simplest analysis 

• Analysis 

• All

21. Stands for Analysis Of Variance 

• ANNOVA 

• ANOVA 

• ANOVA-A 

• All

22. The extraction of structured information from unstructured and/or semi- structured documents is known as

• Event Extraction 

• Information Extraction 

• Information Retrieval 

• Topic Modeling

23. Analytics involves "What has occurred in the corporations" and is going on now?"

• Descriptive

• Artificial

• Predictive 

• Diagnostic

24. Analyzes the document based on semantic words.

• Concept- based method 

• Pattem taxonomy method 

• Phrase - based method 

• Term- based method

25. Which of the following is not a type of business analytics? 

• Descriptive analysis 

• Predictive analysis 

• Diagnostic analysis 

• Intelligence analysis

26. The MILP stands for 

• Mixed  Integer Linear Programming

• Mixed  Integer Linear Programs 

• Mixed Integer Logic Programming 

• Mixed Integrity Linear Programming

27. The technique uses a graphical representation to all the possible outcomes based on decisions. 

• Decision Trees 

• Linear Regression 

• Logistic Regression 

• Naïve Bayes

28. refers to the layer in which transformed data and cleaned data are stored 

• Data source layer 

• Data staging layer 

• Data storage layer 

• Information delivery

29. The transformation technique changes the ETL process flow dramatically and creates a more scalable and non-interruptive data transformation procedure 

• Multistage data 

• Pipelined data 

• Both a and b 

• None of them

30. is maintained by organizations as a central storehouse of data that can be equally    accessed by all business experts and end
         

• Data warehouse 

• Decision support system 

• Strategic information 

• Integrated system

1. . refers to a technique used to make decisions in organization and analyze physical system 

• process 

• Optimization 

• Programming 

• None of them

2. of a variable represents its average value in central tendency. 

a) Median

 b) Mode

 c) Arithmetic mean 

d) Central

3. which of the following is also called as data driven decision making ? 

• Data-Driven Decision Management 

• Data-Directed Decision Management 

• Data- Oriented Decision-Making 

• Data Analyzed Decision Making

4. is the first step in a decision-making process. 

   a) Analyze the problem 

   b) Identity the problem 

   c) Collect rein ant data

   d) Ensure feedback

5. is the first step in a decision-making process. 

a) Analyze the problem

 b) Identity the problem 

c) Collect rein ant data 

d) Ensure feedback

6. The approach is designed with the help of the normalized enterprise data model. 

a) Information delivery

 b) Bottom-up 

c)Horizontal 

d) Vertical

7 . The field of data science involves the use of 

 a)Cryptography

 b) Visualization 

c) Bitcoins

 d) None of them

8. The field of data science involves the use of 

  a)Cryptography

 b)0 Visualization 

c) Bitcoins 

d) None of them

9. Which of the following is not a type of business analytics? 

  a) Descriptive analysis 

 b)Predictive analysis

 c) Diagnostic analysis  

d)Intelligence analysis

10. )% of the data falls within three standard deviations from the mean in normal distribution. 

A )68

 b)95

 c)993

 d)93

11) predicts the near future probabilities and trends and helps in the `what-if analysis. 

a) Predictive analytics

 b) Diagnostic analytics

 c) Descriptive analytics 

d) Sampling

12. The Term Frequency is usually measured along with as TF-IDF. 

a) Inverse Detail Frequency

 b)Inverse Document Frequency 

c) Information Document Frequency

 d) Information Detect Frequency

13. Which of the following is not a type of data visualization? 

a)  Linear 

b) Planer

 c) Temporal 

d) Dimensional

14. The transformation technique changes the ETL process flow dramatically and creates a more scalable and non-interruptive data transformation procedure. 

a) Multistage data

 b)  Pipelined data

 c)Both a and b

 d) None of them

15. 

A is a special table that contains data to measure the organization's business operations. 

a) Fact table

 b) Dimension table 

c) Data table 

 d)None of them

16. is a self-service Remaining Time : 00:49:02 business analytics and data visualization Select Section 

a) Tableau reader

 b) Tableau public 

c) Tableau desktop

 d) Tableau server 

17. Which of the following is the last step in the decision-making process? 

a) Analyze the data

 b) Identity the data 

 c) Collect rein ant data 

 d) Feedback 

18. It is an improved form of linear regression. 

a) Ordinal regression

 b)  Logistic regression 

c) Ridge regression 

d) Polynomial regression

19) is maintained by organizations as a central storehouse of data that can be equally accessed by all business experts and end-users. 

a) Data warehouse 

(b)Decision support system

 c) Strategic information 

d) Integrated system

20.) Which of the following is a text mining technology? 

   a) Event extraction

   b) Topic extraction 

     c) Information extraction 

    d) Sentiment extraction

21. Which of the following is not a technique of decision making ?

    a) Operations research

   b) Models

   c) Simulation 

   d)Play theory

22. The practice of drawing samples and analyzing them to derive some useful information is called theory 

a) Framing 

b) Conditional

c) 0 Sampling

d) None of them

23. analyzes the document based on semantic words. 

    a) Concept-based method

    b) Pattern taxonomy method 

    c) Phrase-based method

    d) Term-based method

24. It is process of turning any analogue image, sound or video into digital format understandable by the electronic devices and computers. 

  a) Cloud computing 

  b) Artificial intelligence

   c) Digitization 

  d) All of them

25. A distribution is the one wherein only two outcomes are possible for all the traits and every trait's result is independent of the other. 

1. Normal 

2.  Uniform 

3.  Bernoulli d

4.  Binomial

26. is also known as linear optimization. 

1.  Linear programming 

2.  Goal Programming 

3.  Multi-criteria Optimization 

4. d)  All of them 

27.This helps to get an idea about what happened in the past and if it was as expected or not. 

      a)  Descriptive analysis 

      b) Predictive analysis

       c)  Diagnostic analysis 

     d)  Intelligence analysis 

28. Categorization is also called when you want to assign instances of the appropriate class of your known types 

1. Summarization.

2. Classification 

3. Clustering 

4.  Extraction 

29. are standard decisions that typically follow a repetitive practice .

         a) tactical decision 

        b) Strategic decisions

         c) Programmed decisions

        d)  Non - programmed decisions 

  30.  Which of the following is not a type of supervised learning algorithms?

           a)Decision Trees

           b) Linear Regression 

            c)  Nearest Neighbor

           d)  Midtiple Regressions

The process of removing the deficiencies and loopholes in data is called as

1. Extracting of data

2. Aggregation of data

3. Loading of data

4. Cleaning up of data

Which of the following is a type of decision?

1. Support decision

2. Strategic decision

3. Concept decision

4. Individual decision

Which of the following is not a type of machine learning?

1. Data learning

2. Supervised learning

3. Reinforcement learning

4. Unsupervised learning

Use data that is a detailed record of the daily business operations of an organization.

1. Integrated system

2. Decision support systems

3. None of them

4. Operational support systems

Level 3 of decision modeling in decision hierarchy depicts:

1. Sensitivity

2. Criteria

3. Goal

4. Alternatives

Which of the following is also called as a reference table?

1. Dimension table

2. Both b and c

3. Fact table

4. Lookup table

 

Which of the following is also called as repeated-measures t-test?

1. None of them

2. One-sample t-test

3. Paired-sample t-test

4. Independent-sample t-test

Is the study of organizing the sound systematically?

1. Pragmatics

2. Phonology

3. Morphology

4. Discourse

The predictive modeling is a part of.

1. Sentiment Analysis

2. Natural Analysis

3. Predictive Analytics

4. None of them

Sampling includes items selected from the sample using a random procedure.

1. Systematic

2. Cluster

3. Probabilistic

4. Stratified

 

Which of the following is the first step in the ETL process?

1. Data extraction

2. Data cleaning

3. Data loading

4. Data transformation