DASCA SDS Exam : Senior Data Scientist

Exam Code: SDS
Exam Name: Senior Data Scientist
Updated: Sep 13, 2026
Q & A: 87 Questions and Answers

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DASCA SDS Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Big Data Engineering	15-20%	- Distributed Computing 1. Apache Spark 2. Data Pipelines 3. Hadoop Ecosystem - Cloud Computing for Data Science 1. AWS/Azure/GCP Services 2. Containerization 3. Serverless Architectures
Topic 2: Advanced Statistical Modeling	20-25%	- Regression Analysis 1. Linear and Logistic Regression 2. Regularization Techniques 3. Generalized Linear Models - Statistical Inference 1. Confidence Intervals 2. Bayesian Methods 3. Hypothesis Testing
Topic 3: Foundations of Data Science	15-20%	- Data Science Lifecycle 1. Model Building and Evaluation 2. Problem Formulation 3. Data Collection and Preparation 4. Deployment and Monitoring - Data Science Ethics 1. Privacy and Confidentiality 2. Transparency and Explainability 3. Bias and Fairness
Topic 4: Machine Learning at Scale	25-30%	- Unsupervised Learning 1. Anomaly Detection 2. Dimensionality Reduction 3. Clustering Algorithms - Supervised Learning 1. Ensemble Methods 2. Time Series Forecasting 3. Support Vector Machines - Deep Learning Fundamentals 1. Recurrent Networks 2. Convolutional Networks 3. Neural Networks
Topic 5: Data Visualization and Communication	10-15%	- Tools and Technologies 1. Tableau/Power BI 2. Python Visualization Libraries - Visualization Principles 1. Storytelling with Data 2. Dashboard Design

DASCA Senior Data Scientist Sample Questions:

Question #1

Which of the following phases is NOT a Big Data Business Model Maturity Index?

A. Business Metamorphosis
B. Business Monitoring
C. Business Optimization
D. Business Strategy
E. Data Monetization

Reveal Solution Discussion 0

Correct Answer: D 🗳️