DASCA SDS : Senior Data Scientist

Exam Code: SDS
Exam Name: Senior Data Scientist
Updated: Oct 09, 2026
Q & A: 87 Questions and Answers

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DASCA SDS Exam Syllabus Topics:

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

DASCA Senior Data Scientist Sample Questions:

Question #1

Which of the following is the common evolutionary algorithm of neural networks?

A. Genetic programming
B. All of the above
C. Evolution strategy
D. Genetic algorithm

Reveal Solution Discussion 0

Correct Answer: B 🗳️