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DASCA SDS Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Machine Learning and Predictive Modeling | - Supervised Learning - Model Evaluation and Validation - Unsupervised Learning |
| Mathematics and Statistics for Data Science | - Probability and Statistical Inference - Linear Algebra and Optimization |
| Big Data Engineering and Technologies | - Data Pipelines and ETL - Distributed Computing Concepts |
| Artificial Intelligence Applications | - NLP and Computer Vision Overview - Deep Learning Fundamentals |
| Data Management and Governance | - Data Quality and Lifecycle Management - Data Privacy and Security Principles |
DASCA Senior Data Scientist Sample Questions:
1. Machine learning can be categorized as:
A) Unsupervised learning
B) Reinforcement learning
C) All of the above
D) Supervised learning
2. Which of the following is TRUE for Business Metamorphosis?
A) 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
B) Both A and C
C) 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
D) All of the above
E) 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
3. Which of the following is TRUE for "By" analysis?
A) Both B and C
B) "By" analysis is used to create a collaborative technique to drive alignment between the business users and the data scientists to identify and brainstorm variables and metrics that might be better predictors of business performance.
C) "By" analysis is a technique by which business subject matter experts (SMEs) and the Data Science team could collaborate to uncover new variables and metrics that might be better predictors of business performance.
D) All of the above
E) The "By" analysis technique reinforces the process of "thinking like a data scientist."
4. Semi-structured data does NOT include:
A) Schema-full data
B) Database system
C) Scientific data
D) File systems
5. Which of the following is NOT a cluster management tool?
A) Apache Ambari
B) Apache Hadoop
C) Apache Mesos
D) Zettaset Orchestrator
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: B |
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