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Updated: Aug 29, 2026
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DASCA SDS Exam Overview:
| Certification Vendor: | Data Science Council of America (DASCA) |
|---|---|
| Exam Name: | DASCA Senior Data Scientist (SDS) Certification Exam |
| Exam Number: | SDS |
| Exam Format: | Computer-Based Exam (Online Proctored), Multiple Choice Questions |
| Available Languages: | English |
| Related Certifications: | Associate Big Data Scientist (ABDS) Principal Data Scientist (PDS) |
| Recommended Training: | DASCA Official Certification Programs |
| Exam Registration: | DASCA Certification Registration |
| Sample Questions: | DASCA SDS Sample Questions |
| Exam Way: | Online proctored exam (remote computer-based testing) |
| Pre Condition: | Recommended: strong foundation in statistics, programming (Python/R), and machine learning concepts. |
| Official Syllabus URL: | https://www.dasca.org |
DASCA SDS Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Big Data Engineering and Technologies | - Data Pipelines and ETL - Distributed Computing Concepts |
| Topic 2: Artificial Intelligence Applications | - NLP and Computer Vision Overview - Deep Learning Fundamentals |
| Topic 3: Machine Learning and Predictive Modeling | - Unsupervised Learning - Supervised Learning - Model Evaluation and Validation |
| Topic 4: Mathematics and Statistics for Data Science | - Linear Algebra and Optimization - Probability and Statistical Inference |
| Topic 5: Data Management and Governance | - Data Privacy and Security Principles - Data Quality and Lifecycle Management |
DASCA Senior Data Scientist Sample Questions:
Question 1
Which of the following architectural techniques is used for parallel processing?
A. Very Long Instruction Words (VLIW) Technique
B. The SuperVector Technique
C. Both B and C
D. The Superscalar Technique
E. Both A and B
Question 2
Business Intelligence (BI) is:
A. BI focuses on reporting on the future state of the business
B. BI focuses on descriptive analytics
C. Both B and C
D. Both A and B
E. BI focuses on "What happened?"
Question 3
Which of the following is correct about customer lifetime value (CLTV)?
i. Most organizations determine the current customer lifetime value (CLTV) based on historic sales over past
12 to 18 months
ii. The goal of the CLTV score is to help marketing and store personnel to determine the "value" of a customer
A. Both i and ii
B. Only ii
C. Only i
Question 4
Semi-structured data does NOT include:
A. File systems
B. Database system
C. Scientific data
D. Schema-full data
Question 5
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. Histogram
B. Pie Charts
C. Bar Charts
D. Box Plots
E. Scatter Chart
Solutions:
| Question 1 Answer: E | Question 2 Answer: D | Question 3 Answer: A | Question 4 Answer: D | Question 5 Answer: D |
DASCA SDS Exam Overview:
| Certification Vendor: | Data Science Council of America (DASCA) |
|---|---|
| Exam Name: | DASCA Senior Data Scientist (SDS) Certification Exam |
| Exam Number: | SDS |
| Exam Format: | Computer-Based Exam (Online Proctored), Multiple Choice Questions |
| Available Languages: | English |
| Related Certifications: | Associate Big Data Scientist (ABDS) Principal Data Scientist (PDS) |
| Recommended Training: | DASCA Official Certification Programs |
| Exam Registration: | DASCA Certification Registration |
| Sample Questions: | DASCA SDS Sample Questions |
| Exam Way: | Online proctored exam (remote computer-based testing) |
| Pre Condition: | Recommended: strong foundation in statistics, programming (Python/R), and machine learning concepts. |
| Official Syllabus URL: | https://www.dasca.org |
DASCA SDS Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Big Data Engineering and Technologies | - Data Pipelines and ETL - Distributed Computing Concepts |
| Topic 2: Artificial Intelligence Applications | - NLP and Computer Vision Overview - Deep Learning Fundamentals |
| Topic 3: Machine Learning and Predictive Modeling | - Unsupervised Learning - Supervised Learning - Model Evaluation and Validation |
| Topic 4: Mathematics and Statistics for Data Science | - Linear Algebra and Optimization - Probability and Statistical Inference |
| Topic 5: Data Management and Governance | - Data Privacy and Security Principles - Data Quality and Lifecycle Management |
DASCA Senior Data Scientist Sample Questions:
Question 1
Which of the following architectural techniques is used for parallel processing?
A. Very Long Instruction Words (VLIW) Technique
B. The SuperVector Technique
C. Both B and C
D. The Superscalar Technique
E. Both A and B
Question 2
Business Intelligence (BI) is:
A. BI focuses on reporting on the future state of the business
B. BI focuses on descriptive analytics
C. Both B and C
D. Both A and B
E. BI focuses on "What happened?"
Question 3
Which of the following is correct about customer lifetime value (CLTV)?
i. Most organizations determine the current customer lifetime value (CLTV) based on historic sales over past
12 to 18 months
ii. The goal of the CLTV score is to help marketing and store personnel to determine the "value" of a customer
A. Both i and ii
B. Only ii
C. Only i
Question 4
Semi-structured data does NOT include:
A. File systems
B. Database system
C. Scientific data
D. Schema-full data
Question 5
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. Histogram
B. Pie Charts
C. Bar Charts
D. Box Plots
E. Scatter Chart
Solutions:
| Question 1 Answer: E | Question 2 Answer: D | Question 3 Answer: A | Question 4 Answer: D | Question 5 Answer: D |
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