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EMC Dell Data Scientist and Big Data Analytics Foundations 2023 Sample Questions:

1. An analyst is searching a corpus of documents for the topic "solid state disk". As shown in the graphic, 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 the corpus.

Based on the four documents, which document is most relevant to the analyst's search?

A) Document D
B) Document B
C) Document C
D) Document A

2. What is a good use case for logistic regression?

A) Predicting home sales prices in a city
B) Predicting the outcome of an election
C) Predicting the income of a customer
D) Forecasting quarterly sales of a company

3. Which R data structure allows elements to have different data types?

A) Matrix
B) List
C) Vector
D) Array

4. Which analytical method is considered unsupervised?

A) Linear regression
B) Naïve Bayesian classifier
C) Decision tree
D) K-means clustering

5. You have been assigned to run a logistic regression model for each of 100 countries, 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?

A) RStudio
B) Mahout
C) HBase
D) MADlib

Solutions: