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EMC D-AA-OP-23 Exam Overview:
| Certification Vendor: | Dell Technologies |
|---|---|
| Exam Name: | Data Scientist Advanced Analytics Optimize 2023 |
| Exam Number: | D-AA-OP-23 |
| Exam Format: | Scenario-based questions, Multiple choice |
| Exam Duration: | 90 minutes |
| Available Languages: | French, English |
| Related Certifications: | Data Science Foundations Data Engineering Optimize |
| Recommended Training: | Advanced Methods in Data Science and Big Data Analytics |
| Exam Registration: | Dell Technologies Certification Portal |
| Exam Way: | Proctored exam (online via OnVUE or test center via Pearson VUE) |
| Pre Condition: | Recommended: completion of Data Science Foundations or equivalent experience in data science and big data analytics |
| Official Syllabus URL: | https://learning.dell.com/content/dell/en-us/home/certification-overview/available-exams/data-scientist-advanced-analytics-optimize.html |
EMC D-AA-OP-23 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Visualization | 12% | - Perception and visualization principles - Multivariate data visualization |
| Topic 2: MapReduce | 15% | - YARN resource management - Hadoop MapReduce framework and implementation - HDFS (Hadoop Distributed File System) |
| Topic 3: Hadoop Ecosystem and NoSQL | 15% | - Spark ecosystem overview - Hive - NoSQL databases - Pig - HBase |
| Topic 4: Social Network Analysis (SNA) | 23% | - Network problems and tools - Community detection - Graph theory fundamentals |
| Topic 5: Natural Language Processing (NLP) | 20% | - Text preprocessing - NLP ambiguity concepts - Language modeling |
| Topic 6: Data Science Theory and Methods | 15% | - Multinomial Logistic Regression - Random Forests - Maximum Entropy models - Simulation methods |
By Hilary
