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EMC E20-007 Exam format are as follow
Format: Multiple choices, multiple answers
- Length of Examination: 90 minutes
- Language: English
- Passing score: 60%
- Number of Questions: 60
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EMC E20-007 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Management and Processing | - Structured vs unstructured data handling - Data ingestion and data preparation techniques - Hadoop ecosystem overview (HDFS, MapReduce) |
| Machine Learning and Predictive Analytics | - Supervised and unsupervised learning concepts - Model evaluation and validation basics - Classification and regression techniques overview |
| Data Visualization and Interpretation | - Exploratory data analysis (EDA) - Communicating insights from data - Data visualization techniques and tools |
| Statistical and Analytical Methods | - Data sampling and distributions - Descriptive statistics and probability basics - Inferential statistics fundamentals |
| Big Data and Data Science Fundamentals | - Roles and responsibilities in data science projects - Big Data concepts and characteristics (Volume, Velocity, Variety) - Data Science lifecycle and methodologies |
| Ethics, Governance, and Business Applications | - Business use cases of data science - Data privacy and ethical considerations - Data governance principles |
