DASCA SDS : Senior Data Scientist

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DASCA SDS Exam Syllabus Topics:

DASCA Senior Data Scientist Sample Questions:

1. Which of the following is used to summarize a dataset by showing the median, quantiles, and min/max values for each of the variables?

A) Box Plots
B) Histogram
C) Scatter Chart
D) Pie Charts
E) Bar Charts

2. Example of amortized performance is:

A) All of the above
B) MapReduce dictionaries
C) Hadoop dictionaries
D) Python dictionaries
E) HDFS dictionaries

3. Which of the following is a Python library for fitting Bayesian networks to real data?

A) PyMC
B) MCMC
C) SCIMC
D) SciLib
E) MyLib

4. 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) Only i
B) Only ii
C) Both i and ii

5. Which of the following is TRUE for "By" analysis?

A) Both B and C
B) All of the above
C) "By" analysis is used to create a collaborative technique to drive alignment between the business users and the data scientists to identify and brainstorm variables and metrics that might be better predictors of business performance.
D) The "By" analysis technique reinforces the process of "thinking like a data scientist."
E) "By" analysis is a technique by which business subject matter experts (SMEs) and the Data Science team could collaborate to uncover new variables and metrics that might be better predictors of business performance.

Solutions: