Dell EMC Data Science and BigData Certification Questions and Answers

Question : What all are the correct statements with regards to R-squared values in the regression model?
A. R squared values does not indicate whether regression model are adequate.
B. R squared always indicate accuracy of the regression model.
C. Is it possible that R-square can be low for a good regression model.
D. None of above


1. A,B
2. A,C
3. C,D
4. A,D
5. B,D

Correct Answer : 2
Explanation: R-squared values cannot determine whether the coefficient estimates and predictions are biased, for that you have to access the residual plots.
Even using the R-squared values you can not say that regression models are adequate, it is possible that low R-squared value for good model and vice versa.





Question : Which of the following statement is true for the R square value in the regression model?
A. When R square =1 , all the residuals are equal to 0
B. When R square =0, all the residual are equal to 1
C. R square can be increased by adding more variables to the model.
D. R-squared never decreases upon adding more independent variables.


1. A,B
2. B,C
3. C,D
4. A,C,D
5. A,B,C,D

Correct Answer : 4
Explanation: R square can be made high, it means when we add more variables R-square will increase. And R-square will never decreases if you add more independent variables. Higher R square value can have
lower the residuals.




Question : What are the characteristics of the structured data?



1. Data can be co-related with the relationship keys.

2. They can have define data types.

3. These data can be easily queried.

4. It can have well defined schema

5. All of the above


Correct Answer : 5
Explanation: Yes, structure data are well defined. You can assume your table in any RDBMS data base is a structured data. Where each column will have data type, schema defined. Even these data can have
relationship with other table in database.

Related Questions

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Question : Which of the following skills a data scientists required?
A. Web designing to represent best visuals of its results from algorithm.
B. He should be creative
C. Should possess good programming skills
D. Should be very good at mathematics and statistic
E. He should possess database administrative skills.


1. A,B,C
2. B,C,D
3. C,D,E
4. A,D,E
5. A,C,E


Question : Which of the following steps you will be using in the discovery phase?
A. What all are the data sources for the project?
B. Analyze the Raw data and its format and structure.
C. What all tools are required, in the project?
D. What is the network capacity required
E. What Unix server capacity required?


1. A,B,C
2. B,C,D
3. C,D,E
4. B,C,D,E
5. A,B,C,D,E


Question : Which of the following tool can be used to load and clean the huge volume of data?



1. Spark GraphX

2. Cloudera Knox

3. Apache Hadoop

4. Oracle MySQL

5. Qlik



Question : What are the key outcomes of the successful analytical projects?
A. Code of the model
B. Technical specifications
C. Presentations for the Analysts
D. Presentation for Project Sponsors


1. A,B
2. B,C
3. A,C,D
4. B,C,D
5. A,B,C,D


Question : Order the all the steps correctly which you can follow while implementing advance analytics data science project?
A. Discovery
B. Data Preparations
C. Creating Models
D. Executing Models
E. Creating visuals from the outcome
F. Operationalize the models


1. A,,D,E,F
2. C,D,E,F
3. A,B,C,D
4. B,C,D,E
5. A,B,C,D,E


Question : You are working on a Data Science project and during the project you have been gibe a responsibility to interview all the stakeholders in the project. In which phase of the project you are?




1. Discovery

2. Data Preparations

3. Creating Models

4. Executing Models

5. Creating visuals from the outcome
F. Operationalize the models