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Huawei H13-731_V2.0 Exam Syllabus Topics:

Section	Objectives
Topic 1: Big Data Security and Governance	- Data governance 1. Metadata management 2. Data quality management - Data security mechanisms 1. Data encryption and protection 2. Authentication and authorization
Topic 2: Data Storage and Processing Technologies	- Distributed computing frameworks 1. MapReduce processing model 2. Spark architecture and execution model - Distributed storage systems 1. HDFS data storage mechanism 2. NoSQL databases overview
Topic 3: Big Data Platform Deployment and Operations	- Monitoring and maintenance 1. System monitoring tools 2. Fault diagnosis and troubleshooting - Cluster deployment 1. Hadoop/Spark cluster installation 2. Configuration and tuning
Topic 4: Data Mining and Machine Learning	- Data mining techniques 1. Association rule mining 2. Clustering algorithms 3. Classification algorithms - Feature engineering 1. Feature selection and transformation 2. Data preprocessing
Topic 5: Big Data Architecture and Ecosystem	- Big Data fundamentals 1. Big data processing architecture 2. Characteristics of big data - Hadoop ecosystem overview 1. YARN resource management 2. HDFS principles and architecture