Dell EMC Data Science and BigData Certification Questions and Answers

Question : In which of the following scenario we can use naive Bayes theorem for classification

1. Classify whether a given person is a male or a female based on the measured features. The features include height, weight, and foot size.
2. To classify whether an email is spam or not spam
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4. All 1,2 and 3
5. None of the above


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Explanation: naive Bayes classifiers have worked quite well in many real-world situations, famously document classification and spam filtering. They requires a small amount of training data to estimate the necessary parameters





Question :

Select the choice where Regression algorithms are not best fit

1. When the dimension of the object given
2. Weight of the person is given
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4. Employee status




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Explanation: Regression algorithms are usually employed when the data points are inherently numerical variables (such as the dimensions of an object, the weight of a person, or the temperature in the atmosphere) but, unlike
Bayesian algorithms, they're not very good for categorical data (such as employee status or credit score description).





Question : Logistic regression does not work well in case of binary classification


1. True
2. False



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Explanation: : In logistic regression, the model (the logistic function) takes values between 0 and 1, which can be interpreted as the probability of class membership and works well in the case of binary classification.

Related Questions

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Question : Which word or phrase completes the statement? Structured data is to OLAP data as quasistructured
data is to____



1. Text documents
2. XML data
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4. Image files




Question : What describes a true property of Logistic Regression method?

1. It handles missing values well.
2. It works well with discrete variables that have many distinct values.
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4. It works well with variables that affect the outcome in a discontinuous way.



Question : You have been assigned to do a study of the daily revenue effect of a pricing model of online
transactions. You have tested all the theoretical models in the previous model planning stage, and
all tests have yielded statistically insignificant results. What is your next step?


1. Run all the models again against a larger sample, leveraging more historical data.
2. Report that the results are insignificant, and reevaluate the original business question.
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4. Modify samples used by the models and iterate until a significant result occurs.



Question : Which word or phrase completes the statement?
Business Intelligence is to ad-hoc reporting and dashboards as Data Science is to
______________ .


1. Alerts and Queries
2. Structured Data and Data Sources
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4. Sales and profit reporting




Question : What is a property of window functions in SQL commands?


1. They can be used to calculate moving averages over various intervals.
2. They group rows into a single output row.
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4. They don't require ordering of data within a window.




Question : You are attempting to find the Euclidean distance between two centroids:
Centroid A's coordinates: (X = 2, Y = 4)
Centroid B's coordinates (X = 8, Y = 10)
Which formula finds the correct Euclidean distance?


1. ((2-8)2+(4-10)2) or 72
2. SQRT(((2-8) x 2) + ((4-10) x 2)) or 12.17
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4. SQRT((2-8)2+(4-10)2) or 8.49