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DASCA SDS Exam Syllabus Topics:

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

DASCA Senior Data Scientist Sample Questions:

1. Which of the following is NOT Structured data?

A) XML
B) Relational databases
C) Data tables
D) CSV files
E) None of the above

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

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

3. A workflow refers to a:

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

4. SpamAssassin has been developed to detect:

A) Email with big attachments
B) Email with virus
C) Spam emails
D) None of the above

5. Which of the following is TRUE for Business Metamorphosis?

A) Both A and C
B) The Business Metamorphosis phase helps drive an organization's core business model through the analytic insights gathered as the organization traverses the Big Data Business Model Maturity Index
C) Business Metamorphosis exercise can uncover Big Data requirements around decisions, analytics and data sources that can be leveraged to transform or metamorphose your organization's business model
D) All of the above
E) The Business Metamorphosis phase is where organizations integrate the insights that they captured about their customers' usage patterns, product performance behaviors, and overall market trends to transform their business models

Solutions:

Question # 1
Answer: A

Question # 2
Answer: C

Question # 3
Answer: D

Question # 4
Answer: C

Question # 5
Answer: D