Try EMC : D-AA-OP-23 valid & accurate questions and answers
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EMC D-AA-OP-23 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Social Network Analysis (SNA) | 23% | - Graph databases and network visualization - Centrality, connectivity, and influence measures - Community detection algorithms - Graph theory and network metrics |
| Topic 2: Data Visualization | 12% | - Visualization principles and best practices - Tools for visualization implementation - Interactive dashboards and reporting - Chart selection and data storytelling |
| Topic 3: Hadoop Ecosystem and NoSQL | 15% | - NoSQL databases: Cassandra, MongoDB - Data models and scalable storage solutions - Hive, Pig, Spark processing frameworks - HDFS, YARN, MapReduce architecture |
| Topic 4: Data Science Theory and Methods | 15% | - Model evaluation and validation metrics - Ethics and data governance - Statistical inference and hypothesis testing - Regression, classification, clustering algorithms |
| Topic 5: Advanced Analytics Implementation | 15% | - Distributed computing and optimization - Machine learning model deployment - Performance tuning and scalability |
| Topic 6: Natural Language Processing (NLP) | 20% | - NLP pipelines and applications - Sentiment analysis and topic modeling - Named entity recognition - Text preprocessing and feature extraction |
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