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DASCA SDS Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Artificial Intelligence Applications | - NLP and Computer Vision Overview - Deep Learning Fundamentals |
| Topic 2: Machine Learning and Predictive Modeling | - Unsupervised Learning - Model Evaluation and Validation - Supervised Learning |
| Topic 3: Mathematics and Statistics for Data Science | - Probability and Statistical Inference - Linear Algebra and Optimization |
| Topic 4: Big Data Engineering and Technologies | - Distributed Computing Concepts - Data Pipelines and ETL |
| Topic 5: Data Management and Governance | - Data Quality and Lifecycle Management - Data Privacy and Security Principles |
DASCA Senior Data Scientist Sample Questions:
1. Which of the following is the most important part of Hadoop?
A) Hadoop Distributed File System (HDFS)
B) Both A and B
C) Both B and C
D) MapReduce Framework
E) Spark Framework
2. The Big Data Vision Workshop process is ideal for organizations who:
A) Have a desire to leverage the Big Data Vision Workshop to identify where and how to leverage data and analytics to power their business models
B) All of the above
C) Have a desire to leverage Big Data to transform their business but do not know where and how to start
D) Both A and B
E) Have a wealth of data that they do not know how to monetize
3. Spark should be used when:
A) Both A and B
B) Data is massive
C) Data is not massive
D) None of the above
4. Which of the following is NOT a part of Internal Process Optimization?
A) Business Metamorphosis
B) Business Insights
C) Business Monitoring
D) Business Optimization
E) None of the above
5. JSON takes hierarchical data structures and serializes them into:
A) Both A and B
B) Any desired format
C) Plain string format
D) None of the above
E) Plain text format
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: A |
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