Dell EMC Data Science and BigData Certification Questions and Answers

Question : Refer to the exhibit
Consider the training data set shown in the exhibit. What are the classification (Y = 0 or 1) and the
probability of the classification for the tupleX(0, 0, 1) using Naive Bayesian classifier?

1. Classification Y = 0, Probability = 1/54
2. Classification Y = 1, Probability = 1/54
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4. Classification Y = 0, Probability = 4/54



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Question : Refer to the exhibit.
In the exhibit, a correlogram is provided based on an autocorrelation analysis of a sample dataset.
What can you conclude from only this exhibit?

1. There is no structure left to model in the data
2. Lag 7 has a significant negative autocorrelation
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4. Differencing is required before proceeding with any analysis



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Question : Refer to the exhibit
Which type of data issue would you suspect based on the exhibit?


1. "Saturated" data, indicating potential issues with data definitions
2. Incomplete data, indicating potential issues with data transmission
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4. The exhibit does not raise any obvious concerns with the data.



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Related Questions

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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




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.



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



Question : A data scientist wants to predict the probability of death from heart disease based on three risk
factors: age, gender, and blood cholesterol level.
What is the most appropriate method for this project?


1. Linear regression
2. K-means clustering
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4. Apriori algorithm





Question : What are the characteristics of Big Data?


1. Data type, processing complexity, and data structure variety.
2. Data volume, business importance, and data structure variety.
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4. Data volume, processing complexity, and business importance




Question : You are analyzing data in order to build a classifier model. You discover non-linear data and
discontinuities that will affect the model. Which analytical method would you recommend?


1. Logistic Regression
2. Decision Trees
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4. ARIMA