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DASCA SDS Exam Syllabus Topics:

DASCA Senior Data Scientist Sample Questions:

1. In regression, the principle of machine learning is used to optimize the parameters to:

A) Calculate the closest possible outcomes
B) None of the above
C) Minimize the approximation error
D) Both A and B

2. HDFS supports which quotas?

A) None of the above
B) Name quotas
C) Both A and B
D) Space quotas

3. Which of the following standardizes scores similar to a percentile rank but preserves equal interval properties of a Z-score?

A) High Curve Equivalent (HCE)
B) None of the above
C) Normal Curve Equivalent (NCE)
D) Trend analysis
E) Medium Curve Equivalent (MCE)

4. The Big Data Vision Workshop process is ideal for organizations who:

A) Have a desire to leverage Big Data to transform their business but do not know where and how to start
B) Have a desire to leverage the Big Data Vision Workshop to identify where and how to leverage data and analytics to power their business models
C) Have a wealth of data that they do not know how to monetize
D) All of the above
E) Both A and B

5. In unsupervised learning, learning takes place by based on these deductions in input data and developing patterns:

A) None of the above
B) Detecting irregularities
C) Detecting regularities
D) Both A and B

Solutions: