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DASCA Senior Data Scientist Sample Questions:

1. Which of the following is True about Time Series Analysis?

A) Both A and B
B) Projecting the value of the time series at future points in time, such as a stock whose price we want to predict
C) All of the above
D) Predicting when/whether an event will occur, such as a failure of the machine generating the data
E) Identifying interesting patterns in a corpus of time series data that is too large for a human to comb through

2. What is Scrum?

A) Scrum and Agile are the same
B) None of the above
C) Agile is a subset of Scrum
D) Scrum is a subset of Agile

3. Which of the following is correct about customer lifetime value (CLTV)?
i. Most organizations determine the current customer lifetime value (CLTV) based on historic sales over past
12 to 18 months
ii. The goal of the CLTV score is to help marketing and store personnel to determine the "value" of a customer

A) Both i and ii
B) Only ii
C) Only i

4. Which of the following errors refers to the wrong negation of a true null hypothesis?

A) Type I Error
B) Type II Error
C) Logical Error
D) None of the above
E) Hypothesis Error

5. Which of the following is TRUE about monetization exercise?

A) The monetization exercise works by first understanding the product usage patterns and customer usage behaviors associated with a particular product and service
B) Both B and C
C) The monetization exercise provides an opportunity to uncover new product and/or service opportunities
D) All of the above
E) The monetization exercise process then seeks to identify complementary or secondary recommendations that can be packaged and delivered along with that product or service

Solutions: