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DASCA SDS Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Big Data Engineering and Technologies | - Data Pipelines and ETL - Distributed Computing Concepts |
| Topic 2: Machine Learning and Predictive Modeling | - Unsupervised Learning - Model Evaluation and Validation - Supervised Learning |
| Topic 3: Data Management and Governance | - Data Privacy and Security Principles - Data Quality and Lifecycle Management |
| Topic 4: Mathematics and Statistics for Data Science | - Linear Algebra and Optimization - Probability and Statistical Inference |
| Topic 5: Artificial Intelligence Applications | - Deep Learning Fundamentals - NLP and Computer Vision Overview |
DASCA Senior Data Scientist Sample Questions:
1. Which of the following is the most important part of Hadoop?
A) MapReduce Framework
B) Both B and C
C) Hadoop Distributed File System (HDFS)
D) Spark Framework
E) Both A and B
2. Business Intelligence (BI) is:
A) BI focuses on descriptive analytics
B) Both B and C
C) BI focuses on reporting on the future state of the business
D) Both A and B
E) BI focuses on "What happened?"
3. Which of the following can visualize variations in the base data, which can be used to identify outliers in the data for further investigation?
A) Histogram
B) Trend Analysis
C) Box Plots
D) None of the above
E) Scatter Plot
4. Which of the following phases is NOT a Big Data Business Model Maturity Index?
A) Data Monetization
B) Business Optimization
C) Business Strategy
D) Business Metamorphosis
E) Business Monitoring
5. A workflow refers to a:
A) Indirected acyclic graph
B) Indirected cyclic graph
C) Directed acyclic graph
D) Directed cyclic graph
Solutions:
| Question # 1 Answer: E | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: C |
