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DASCA SDS Exam Syllabus Topics:

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

DASCA Senior Data Scientist Sample Questions:

1. A workflow refers to a:

A) Directed cyclic graph
B) Indirected acyclic graph
C) Directed acyclic graph
D) Indirected cyclic graph

2. What is DevOps?

A) Software Operations
B) Software Development
C) All
D) Quality Assurance

3. Which of the following is NOT used to implement Agile?

A) Six Sigma
B) Extreme Programming (XP)
C) Kanban
D) Scrum

4. The spokes of the "Hub and Spoke" analytics architecture are the analytic use cases or applications that help the organization to optimize:

A) Uncover new monetization opportunities
B) Deliver a more compelling customer experience
C) Key business processes
D) All of the above
E) Both A and B

5. Which of the following architectural techniques is used for parallel processing?

A) Very Long Instruction Words (VLIW) Technique
B) Both B and C
C) The Superscalar Technique
D) The SuperVector Technique
E) Both A and B

Solutions:

Question # 1
Answer: C

Question # 2
Answer: C

Question # 3
Answer: A

Question # 4
Answer: D

Question # 5
Answer: E