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DASCA SDS Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: MLOps & Production Deployment | 15% | - Model lifecycle management, monitoring, and maintenance - DevOps integration, automation, and CI/CD - Model governance, security, and reliability |
| Topic 2: Big Data Ecosystems & Scalable Systems | 20% | - Scalability, performance, and optimization - Distributed computing frameworks and cloud platforms - Data storage, processing pipelines, and governance |
| Topic 3: Advanced AI & Generative AI | 20% | - Deep learning, neural networks, and foundation models - Responsible AI, ethics, fairness, transparency, and compliance - Generative AI techniques, use cases, and limitations |
| Topic 4: Foundational Methods & Frameworks | 25% | - Data preparation, feature engineering, and quality assurance - Machine learning algorithms, selection, and evaluation - Advanced statistics, probability, and experimental design |
| Topic 5: Data Science Applications in Business | 20% | - Data science strategy and enterprise alignment - Translating business requirements into data science problems - Measuring and demonstrating ROI of data science initiatives |
DASCA Senior Data Scientist Sample Questions:
1. Spark is written in:
A) C++
B) Scala
C) C
D) Python
E) Java
2. Which of the following is CORRECT?
i. CDMO should NOT own the data lake, the data warehouse, or any of the underlying data architecture or technologies.
ii. CDMO should own the data lake, the data warehouse, or any of the underlying data architecture or technologies.
iii. CIO should NOT own the data lake, the data warehouse, or any of the underlying data architecture or technologies.
iv. CIO should own the data lake, the data warehouse, or any of the underlying data architecture or technologies.
A) ii, iv
B) i, iii
C) ii, iii
D) i, iv
3. Which of the following is used to summarize a dataset by showing the median, quantiles, and min/max values for each of the variables?
A) Pie Charts
B) Scatter Chart
C) Bar Charts
D) Histogram
E) Box Plots
4. Data wrangling is the process of getting the data from:
A) Its modified meaning format into something suitable for more conventional analytics
B) Its raw format into something suitable for more conventional analytics
C) Both A and B
D) None of the above
5. Which of the following can visualize variations in the base data, which can be used to identify outliers in the data for further investigation?
A) Scatter Plot
B) None of the above
C) Histogram
D) Box Plots
E) Trend Analysis
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: E | Question # 4 Answer: B | Question # 5 Answer: D |

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