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DASCA SDS Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data Ecosystems & Scalable Systems | 20% | - Scalability, performance, and optimization - Distributed computing frameworks and cloud platforms - Data storage, processing pipelines, and governance |
| Topic 2: MLOps & Production Deployment | 15% | - Model governance, security, and reliability - DevOps integration, automation, and CI/CD - Model lifecycle management, monitoring, and maintenance |
| Topic 3: Data Science Applications in Business | 20% | - Translating business requirements into data science problems - Measuring and demonstrating ROI of data science initiatives - Data science strategy and enterprise alignment |
| Topic 4: Advanced AI & Generative AI | 20% | - Responsible AI, ethics, fairness, transparency, and compliance - Deep learning, neural networks, and foundation models - Generative AI techniques, use cases, and limitations |
| Topic 5: Foundational Methods & Frameworks | 25% | - Advanced statistics, probability, and experimental design - Data preparation, feature engineering, and quality assurance - Machine learning algorithms, selection, and evaluation |
DASCA Senior Data Scientist Sample Questions:
Which of the following is an example of NLP?
- A. Flagging e-mails as spam
- B. Finding which text documents are about similar topics
- C. Both A and C
- D. All of the above
- E. Using Twitter to assess public sentiment
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Which of the following is the common evolutionary algorithm of neural networks?
- A. Genetic programming
- B. Genetic algorithm
- C. Evolution strategy
- D. All of the above
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Which of the following is correct for Markov chain?
- A. A Markov chain is the state of a system at sequential points in time
- B. Both A and B
- C. A Markov chain is a sequence of fixed variables X1, X2
- D. A Markov chain is a sequence of random variables X1, X2
- E. Both B and C
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Which of the following is TRUE for "By" analysis?
- A. The "By" analysis technique reinforces the process of "thinking like a data scientist."
- B. "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.
- 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. All of the above
- E. Both B and C
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What is TRUE for "rehashing"?
- A. Allocate a new, larger hash table in memory
- B. Both A and B
- C. It requires a new hash function, which maps values into a larger range of integers
- D. All of the above
- E. Key/value pairs from the original table can be inserted into the new, larger one
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