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Dell EMC Data Science and BigData Certification Questions and Answers



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

: What are the key outcomes of the successful analytical projects?
1. A,B
2. B,C
3. A,C,D
4. B,C,D
5. A,B,C,D

Correct Answer : 5
Explanation: When your analytical project successfully completed they come up with the following at the end of the projects. Presentations- You will be having presentations like for the all the
stakeholders, generally these presentation will help seniors executives to make better decisions. Similarly you would be creating presentations for the other teams like analysts various visuals you would be creating
like ROC Curves, Heat Maps, and Bar Charts etc.
Whatever tools you have used like SAS, R, or Python then accordingly code was developed and you will get that code as one of the outcome. Also you would have created a technical specifications for implementing the
codes.





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

: Order the all the steps correctly which you can follow while implementing advance analytics data science project?
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

Correct Answer : 5
Explanation: You will be having following steps for a data science projects.
- Discovery
- Preparing the data (Data Pre-Processing/Transformations)
- Creating Data Models
- Executing Models on the BigData Platforms
- Visualization to communicate the results
- Operationalize





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?



: 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


Correct Answer : 1
Explanation: During the discovery phase you will be interviewing all the project stakeholders because they would be having quite a good amount of knowledge for the problem domain you will be working and
you also interviewing project sponsors you will get to know what all are the expectations once project get completed. Hence, you will be noting down all the expectations from the project as well as you will be using
their expertise in the domain.


Related Questions

Question : You are working with the Clustering solution of the customer datasets. There are almost variables are available for each customer and almost ,, customer's data is available. You want to reduce
the number of variables for clustering, what would you do?
A. You will randomly reduce the number of variables
B. You will find the correlation among the variables and from their variables are not co-related will be discarded.
C. You will find the correlation among the variables and from the highly co-related variables, you will be considering only one or two variables from it.
D. You cannot discard any variable for creating clusters.
E. You can combine several variables in one variable

 : You are working with the Clustering solution of the customer datasets. There are almost variables are available for each customer and almost ,, customer's data is available. You want to reduce
1. A,B
2. B,D
3. C,D
4. C,E
5. A,E


Question : You are having patients' data with the height and age. Where age in years and height in meters. You wanted to create cluster using this two attributes. You wanted to have near equal effect for both
the age and height while creating the cluster. What you can do?
A. You will be adding height with the numeric value 100
B. You will be converting each height value to centimeters
C. You will be dividing both age and height with their respective standard deviation
D. You will be taking square root of height

 : You are having patients' data with the height and age. Where age in years and height in meters. You wanted to create cluster using this two attributes. You wanted to have near equal effect for both
1. A,B
2. B,C
3. C,D
4. A,D
5. B,D


Question : Which of the following true with regards to the K-Means clustering algorithm?
A. Labels are not pre-assigned to each objects in the cluster.
B. Labels are pre-assigned to each objects in the cluster.
C. It classify the data based on the labels.
D. It discovers the center of each cluster.
E. It find each objects fall in which particular cluster

 : Which of the following true with regards to the K-Means clustering algorithm?
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 statement is correct with regards to Association rules?
A. It is an unsupervised learning method
B. It is a supervised learning method
C. It is a predictive method
D. It is a nonproductive method

 : Which of the following statement is correct with regards to Association rules?
1. A,B
2. B,C
3. C,D
4. A,D
5. B,D


Question : Which of the following questions can be answered using the Association Rules?


 : Which of the following questions can be answered using the Association Rules?
1. Which all books are purchased together on a portal

2. Of those readers who are similar to this reader, what books do they tend to buy?

3. Of those readers who have purchased this book, what other similar books do they tend to buy.

4. 1,2

5. 1,2,3


Question : Which of the following statements apply Apriori algorithm?


 : Which of the following statements apply Apriori algorithm?
1. It can be used to generate clustering.

2. It can be used for classification

3. It can be used to reduce the dimensionality

4. It can be used to generate association rules