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DASCA SDS Exam Syllabus Topics:

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

DASCA Senior Data Scientist Sample Questions:

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

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

2. Designing an algorithm to play chess is usually an example of which type of machine learning?

A) Clustering
B) Reinforcement learning
C) Pattern density
D) Supervised learning

3. Which of the following is TRUE for Chief Data Monetization Officer (CDMO)?
i. CDMO should focus on driving and deriving value from the organization's data and analytic assets.
ii. The CDMO should own the organization's investment decisions with respect to data and analytics.
iii. CDMO should have revenue and margin responsibilities.

A) i, ii
B) ii, iii
C) All of the above

4. What is DevOps?

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

5. What is the agenda of discussion at a "stand up" meeting of an Agile team?

A) Any roadblocks they are running into
B) What they accomplished the previous day
C) Both A and B
D) What they are planning to do today
E) All of the above

Solutions:

Question # 1
Answer: D

Question # 2
Answer: B

Question # 3
Answer: C

Question # 4
Answer: D

Question # 5
Answer: E