Exam Name: Senior Data Scientist
Certification Provider: DASCA
Corresponding Certification: DASCA Data Scientist
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Updated: Oct 09, 2026
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DASCA SDS Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Machine Learning and Predictive Modeling | - Model Evaluation and Validation - Supervised Learning - Unsupervised Learning |
| Topic 2: Mathematics and Statistics for Data Science | - Probability and Statistical Inference - Linear Algebra and Optimization |
| Topic 3: Artificial Intelligence Applications | - NLP and Computer Vision Overview - Deep Learning Fundamentals |
| Topic 4: Data Management and Governance | - Data Quality and Lifecycle Management - Data Privacy and Security Principles |
| Topic 5: Big Data Engineering and Technologies | - Data Pipelines and ETL - Distributed Computing Concepts |
DASCA Senior Data Scientist Sample Questions:
What is Scrumban?
- A. It is Scrum
- B. It combines the principles of Scrum and Kanban into a pull-based system
- C. It is Kanban
- D. It combines the principles of Scrum and Kanban into a push-based system
Correct Answer: B 🗳️
Explanation: Only visible for ActualVCE members. You can sign-up / login (it's free).
Designing an algorithm to play chess is usually an example of which type of machine learning?
- A. Supervised learning
- B. Reinforcement learning
- C. Pattern density
- D. Clustering
Correct Answer: B 🗳️
Explanation: Only visible for ActualVCE members. You can sign-up / login (it's free).
Which of the following is the most important part of Hadoop?
- A. Both B and C
- B. Both A and B
- C. Spark Framework
- D. Hadoop Distributed File System (HDFS)
- E. MapReduce Framework
Correct Answer: B 🗳️
Explanation: Only visible for ActualVCE members. You can sign-up / login (it's free).
Which of the following is True about Time Series Analysis?
- A. Both A and B
- B. All of the above
- C. Predicting when/whether an event will occur, such as a failure of the machine generating the data
- D. Projecting the value of the time series at future points in time, such as a stock whose price we want to predict
- E. Identifying interesting patterns in a corpus of time series data that is too large for a human to comb through
Correct Answer: B 🗳️
Explanation: Only visible for ActualVCE members. You can sign-up / login (it's free).
Exploratory analytic algorithms help the Data Science team to better:
- A. Understand the data content
- B. Both A and B
- C. Gain a high-level understanding of relationships
- D. All of the above
- E. Understand patterns in the data
Correct Answer: D 🗳️
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