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DASCA SDS Exam Syllabus Topics:

DASCA Senior Data Scientist Sample Questions:

1. The spokes of the "Hub and Spoke" analytics architecture are the analytic use cases or applications that help the organization to optimize:

A) Key business processes
B) Deliver a more compelling customer experience
C) Uncover new monetization opportunities
D) Both A and B
E) All of the above

2. OCR (Optical Character Recognition) is an application used for:

A) Machine learning
B) Big Data Analytics
C) Data mining
D) MapReduce

3. Which of the following statements is correct?

A) Apache claimed that Spark is able to run parallel jobs 100 times faster in memory and 10 times faster on disk in comparison to the traditional Hadoop MapReduce
B) Apache claimed that Spark is able to run parallel jobs 10 times faster in memory and 100 times faster on disk in comparison to the traditional Hadoop MapReduce
C) Apache claimed that Spark is able to run parallel jobs 50 times faster in memory and 5 times faster on disk in comparison to the traditional Hadoop MapReduce
D) Apache claimed that Spark is able to run parallel jobs 1000 times faster in memory and 100 times faster on disk in comparison to the traditional Hadoop MapReduce

4. Which of the following is NOT a part of Internal Process Optimization?

A) Business Optimization
B) None of the above
C) Business Monitoring
D) Business Metamorphosis
E) Business Insights

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

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

Solutions: