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DASCA SDS Exam Syllabus Topics:

DASCA Senior Data Scientist Sample Questions:

1. Exploratory analytic algorithms help the Data Science team to better:

A) Gain a high-level understanding of relationships
B) Understand the data content
C) All of the above
D) Understand patterns in the data
E) Both A and B

2. Example of amortized performance is:

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

3. JSON takes hierarchical data structures and serializes them into:

A) Any desired format
B) Plain text format
C) Plain string format
D) None of the above
E) Both A and B

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

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

5. Which classification steps are performed in inductive techniques?
i. Training Step
ii. Test Step
iii. Validation Step
iv. Application Step

A) i, ii
B) ii, iii
C) i, ii, iv
D) i, ii, iii, iv

Solutions: