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Dell EMC Data Science and BigData Certification Questions and Answers



Question : Which key role for a successful analytic project can consult and advise the project team on the
value of end results and how these will be used on a day-to-day basis?

: Which key role for a successful analytic project can consult and advise the project team on the
1. Business User
2. Project Manager
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4. Business Intelligence Analyst



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Explanation: The introduction of spreadsheets enabled business users to create simple logic on data structured in rows and columns and create their own analyses of business problems. Database administrator training is not
required to create spreadsheets: They can be set up to do many things quickly and independently of information technology (IT) groups. Spreadsheets are easy to share, and end users have control over the logic
involved. However, their proliferation can result in "many versions of the truth." In other words, it can be challenging to determine if a particular user has the most relevant version of a spreadsheet, with the most
current data and logic in it. Moreover, if a laptop is lost or a file becomes corrupted, the data and logic within the spreadsheet could be lost. This is an ongoing challenge because spreadsheet programs such as
Microsoft Excel still run on many computers worldwide. With the proliferation of data islands (or spreadmarts), the need to centralize the data is more pressing than ever. Business User: Someone who understands the
domain area and usually benefits from the results. This person can consult and advise the project team on the context of the project, the value of the results, and how the outputs will be operationalized. Usually a
business analyst, line manager, or deep subject matter expert in the project domain fulfills this role.







Question : A disk drive manufacturer has a defect rate of less than .% with % confidence. A quality
assurance team samples 1000 disk drives and finds 14 defective units. Which action should the
team recommend?

: A disk drive manufacturer has a defect rate of less than .% with % confidence. A quality
1. A larger sample size should be taken to determine if the plant is functioning properly
2. A smaller sample size should be taken to determine if the plant is functioning properly
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4. The manufacturing process should be inspected for problems.


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Explanation: Expected defect is only 1% which is 10 out of 1000. There were 14 defective units means something goes wrong with the manufacturing.





Question : What is required in a presentation for project sponsors?

: What is required in a presentation for project sponsors?
1. Data warehouse design changes
2. Line by line review of the developed code
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4. Detailed statistical basis for the modeling approach used in the project


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Explanation: Project Sponsor: Responsible for the genesis of the project. Provides the impetus and requirements for the project and defines the core business problem. Generally provides the funding and
gauges the degree of value from the final outputs of the working team. This person sets the priorities for the project and clarifies the desired outputs. Because the presentation is often circulated within an
organization, it is critical to articulate the results properly and position the findings in a way that is appropriate for the audience. Presentation for project sponsors: This contains high-level takeaways for
executive level stakeholders, with a few key messages to aid their decision-making rocess. Focus on clean, easy visuals for the presenter to explain and for the viewer to grasp




Related Questions

Question : Which of the following fall under the qualitative data?


 : Which of the following fall under the qualitative data?
1. Nominal and Ordinal

2. Nominal and Ratio

3. Ordinal and interval

4. Ratio and interval



Question : Suppose you have two populations called HEPop and HEPop. You need to check whether two populations are different from each other or not. Which of the following would help in this case?


 : Suppose you have two populations called HEPop and HEPop. You need to check whether two populations are different from each other or not. Which of the following would help in this case?
1. You would be using K-means clustering

2. You would be using logistic regression

3. You will be using Hypothesis testing

4. You will be using Linear Regression



Question : You have two populations like HEPop and HEPop, you need to find that both the populations are different from each other or not. Which of the following is correct Hypothesis in this case?


 : You have two populations like HEPop and HEPop, you need to find that both the populations are different from each other or not. Which of the following is correct Hypothesis in this case?
1. Null Hypothesis : mean of(HEPop1) = mean of (HEPop2)
Alternate Hypothesis: mean of (HEPop1) <> mean of (HEPop2)

2. Null Hypothesis : mean of(HEPop1) <> mean of (HEPop2)
Alternate Hypothesis: mean of (HEPop1) = mean of (HEPop2)

3. Null Hypothesis : mean of(HEPop1) <> mean of (HEPop2)
Alternate Hypothesis: mean of (HEPop1) <> mean of (HEPop2)

4. You cannot use mean of population for inferring the Population equality



Question : You have been given two training datasets for different courses in same subject as HEPop and HEPop. You need to find that both the population are same or not. Hence, you decided to use Hypothesis
testing using the t-test. You assume that both the populations have equal distribution and their variance is not known. To conduct the t-test you need to calculate t-statistic, which of the following you would require
for calculating t-statistic?
A. Sample Mean
B. Sample Size
C. Standard Deviation of Sample
D. Population size
E. Mean of the each population
F. Samples Average of Mean values

 : You have been given two training datasets for different courses in same subject as HEPop and HEPop. You need to find that both the population are same or not. Hence, you decided to use Hypothesis
1. A,B,C
2. C,D,E
3. D,E,F
4. A,B,E
5. A,C,F


Question : You are working in a Healthcare company in America, and wanted to measure the weights. As you cannot measure the weight of all the people in entire population. Which of the following formula would be
helpful for this requirement?
 : You are working in a Healthcare company in America, and wanted to measure the weights. As you cannot measure the weight of all the people in entire population. Which of the following formula would be
1. A
2. B
3. C
4. D


Question : Which of the following hypothesis testing would be more reliable when you have unequal variance and unequal sample sizes?


: Which of the following hypothesis testing would be more reliable when you have unequal variance and unequal sample sizes?
1. Student t-tests

2. Welch t-test

3. Logistic regression

4. Linear regression

5. Wilcoxon rank-sum test