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

1. You have an automotive database containing numeric characteristics such as engine size, horsepower, and top speed.
Which technique could you use to group similar cars together?

A) Association rules
B) Logistic regression
C) Naïve Bayes classifier
D) K-means clustering

2. Which two tools support query languages that can be used with Hadoop?

A) Hive and Pig
B) Hbase and Howl
C) Hive and Hbase
D) Pig and Howl

3. Which method is used to solve for coefficients b0, b1, .., bn in your linear regression model: Y = b0 + b1x1+b2x2+....+bnxn

A) Ordinary Least squares
B) Ridge and Lasso
C) Integer programming
D) Apriori Algorithm

4. In which phase of the analytic lifecycle would you expect to spend most of the project time?

A) Data preparation
B) Discovery
C) Communicate Results
D) Operationalize

5. In the Map Reduce framework, what is the purpose of the Reduce function?

A) It aggregates the results of the Map function and generates processed output
B) It breaks the input into smaller components and distributes to other nodes in the cluster
C) It writes the output of the Map function to storage
D) It distributes the input to multiple nodes for processing

Solutions: