Dell EMC Data Science Associate Certification Questions and Answers (Dumps and Practice Questions)

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?

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?

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?

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 : Select the statement which applies correctlty to the Naive Bayes

1. Works with a small amount of data
2. Sensitive to how the input data is prepared
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4. All of above

Question :

Select the correct statement which applies to Bayes rule

1. Bayesian probability and Bayes' rule gives us a way to estimate unknown probabilities from known values.
2. You can reduce the need for a lot of data by assuming conditional independence among the features in your data.
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4. Only 1 and 2
5. All 1,2 and 3 are correct

Question : Which of the following technique can be used to the design of recommender systems?

1. Naive Bayes classifier
2. Power iteration
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4. 1 and 3
5. 2 and 3

Question : You are working on a problem where you have to predict whether the claim is done valid or not.
And you find that most of the claims which are having spelling errors as well as corrections in the manually
filled claim forms compare to the honest claims. Which of the following technique is suitable to find
out whether the claim is valid or not?

1. Naive Bayes
2. Logistic Regression
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4. Any one of the above

Question : . Bayes' Theorem allows you to look at an event that has already happened and make an
educated guess about the chain of events that may have led up to that event

1. True
2. False

Question :

Scenario: Suppose that Bob can decide to go to work by one of three modes of transportation,
car, bus, or commuter train. Because of high traffic, if he decides to go by car, there is a 50%
chance he will be late. If he goes by bus, which has special reserved lanes but is sometimes overcrowded,
the probability of being late is only 20%. The commuter train is almost never late, with a probability of
only 1%, but is more expensive than the bus.

Question : Suppose that Bob is late one day, and his boss wishes to estimate the probability that he
drove to work that day by car. Since he does not know which mode of transportation Bob usually uses,
he gives a prior probability of 1 3 to each of the three possibilities. Which of the following method the
boss will use to estimate of the probability that Bob drove to work?

1. Naive Bayes
2. Linear regression
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4. None of the above