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DASCA SDS Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Mathematics and Statistics for Data Science | - Linear Algebra and Optimization - Probability and Statistical Inference |
| Topic 2: Machine Learning and Predictive Modeling | - Supervised Learning - Model Evaluation and Validation - Unsupervised Learning |
| Topic 3: Big Data Engineering and Technologies | - Data Pipelines and ETL - Distributed Computing Concepts |
| Topic 4: Artificial Intelligence Applications | - NLP and Computer Vision Overview - Deep Learning Fundamentals |
| Topic 5: Data Management and Governance | - Data Privacy and Security Principles - Data Quality and Lifecycle Management |
DASCA Senior Data Scientist Sample Questions:
1. Which of the following is NOT used to implement Agile?
A) Extreme Programming (XP)
B) Kanban
C) Six Sigma
D) Scrum
2. What is Scrumban?
A) It combines the principles of Scrum and Kanban into a push-based system
B) It combines the principles of Scrum and Kanban into a pull-based system
C) It is Scrum
D) It is Kanban
3. Which of the following is NOT a main data container in Python?
A) Tuples
B) Lists
C) LinkedList
D) Dict
4. Which of the following is TRUE for Chief Data Monetization Officer (CDMO)?
i. CDMO should focus on driving and deriving value from the organization's data and analytic assets.
ii. The CDMO should own the organization's investment decisions with respect to data and analytics.
iii. CDMO should have revenue and margin responsibilities.
A) All of the above
B) ii, iii
C) i, ii
5. Spark is written in:
A) Java
B) Python
C) C
D) Scala
E) C++
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: D |






