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Simulation test system
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EMC D-AA-OP-23 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Natural Language Processing (NLP) | 20% | - NLP ambiguity concepts - Language modeling - Text preprocessing |
| Data Science Theory and Methods | 15% | - Simulation methods - Maximum Entropy models - Random Forests - Multinomial Logistic Regression |
| Data Visualization | 12% | - Perception and visualization principles - Multivariate data visualization |
| Social Network Analysis (SNA) | 23% | - Graph theory fundamentals - Network problems and tools - Community detection |
| MapReduce | 15% | - YARN resource management - HDFS (Hadoop Distributed File System) - Hadoop MapReduce framework and implementation |
| Hadoop Ecosystem and NoSQL | 15% | - HBase - Hive - Spark ecosystem overview - NoSQL databases - Pig |
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