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DASCA SDS Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Advanced Statistical Modeling | 20-25% | - Regression Analysis
|
| Topic 2: Data Visualization and Communication | 10-15% | - Tools and Technologies
|
| Topic 3: Machine Learning at Scale | 25-30% | - Unsupervised Learning
|
| Topic 4: Foundations of Data Science | 15-20% | - Data Science Ethics
|
| Topic 5: Big Data Engineering | 15-20% | - Distributed Computing
|
DASCA Senior Data Scientist Sample Questions:
1. Which of the following is NOT a part of Internal Process Optimization?
A) Business Optimization
B) None of the above
C) Business Insights
D) Business Metamorphosis
E) Business Monitoring
2. Which of the following is a trend analysis component of time series decomposition?
A) Seasonal
B) All of the above
C) Irregular
D) Both A and B
E) Cyclical
3. Which of the following is NOT a valid section of Big Data Strategy document?
A) Key decisions
B) Business decisions
C) Business strategy
D) Key business initiatives
E) Key business entities
4. Tar is an example of:
A) ARV file format
B) Archive file format
C) Text file format
D) None of the above
E) CSV file format
5. In regression, the principle of machine learning is used to optimize the parameters to:
A) Calculate the closest possible outcomes
B) Minimize the approximation error
C) Both A and B
D) None of the above
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: C |
