Dell EMC Data Science and BigData Certification Questions and Answers

Question : Refer to the exhibit.
Click on the calculator icon in the upper left corner. An analyst is searching a corpus of documents
for the topic "solid state disk". In the Exhibit, Table A provides the inverse document frequency for
each term across the corpus. Table B provides each term's frequency in four documents selected
from corpus. Which of the four documents is most relevant to the analyst's search?

1. A
2. B
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4. D



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Explanation:





Question : Refer to the exhibit
Click on the calculator icon in the upper left corner. You are going into a meeting where you know
your manager will have a question on your dataset -- specifically relating to customers that are
classified as renters with good credit status.
In order to prepare for the meeting, you create a rule: RENTER => GOOD CREDIT. What is the
confidence of the rule?

1. 63%
2. 41%
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4. 73%



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Explanation:





Question :

One can work with the naive Bayes model without accepting Bayesian probability


1. True
2. False



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Explanation: For some types of probability models, naive Bayes classifiers can be trained very efficiently in a supervised learning setting. In many practical applications, parameter estimation for naive Bayes models uses
the method of maximum likelihood; in other words, one can work with the naive Bayes model without accepting Bayesian probability or using any Bayesian methods.

Related Questions

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Question : Which SQL OLAP extension provides all possible grouping combinations?


1. ROLLUP
2. UNION ALL
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4. CROSS JOIN




Question : What is the primary bottleneck in text classification?


1. The ability to parse unstructured text data.
2. The availablilty of tagged training data.
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4. The fact that text corpora are dynamic.





Question : Which characteristic applies only to Business Intelligence as opposed to Data Science?



1. Uses only structured data
2. Supports solving "what if" scenarios
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4. Uses predictive modeling techniques




Question : You have been assigned to run a linear regression model for each of , distinct districts, and
all the data is currently stored in a PostgreSQL database. Which tool/library would you use to
produce these models with the least effort?


1. MADlib
2. Mahout
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4. HBase




Question : Your customer provided you with , unlabeled records and asked you to separate them into
three groups. What is the correct analytical method to use?



1. Semi Linear Regression
2. Logistic regression
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4. Linear regression
5. K-means clustering


Question : You are performing a market basket analysis using the Apriori algorithm. Which measure is a ratio
describing the how many more times two items are present together than would be expected if
those two items are statistically independent?



1. Confidence
2. Support
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4. Lift