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Huawei H13-711_V3.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| MapReduce & YARN | 12% | - YARN architecture and resource scheduling - MapReduce programming model and workflow - Task execution and resource management |
| Kafka Messaging System | 9% | - Kafka architecture and core concepts - Message production and consumption |
| Loader Data Conversion | 5% | - Loader functions and use cases - Data import/export process |
| Huawei Big Data Solution | 4% | - FusionInsight HD/MRS overview - Platform functions and industry cases |
| HDFS & ZooKeeper | 12% | - HDFS data storage and fault tolerance - ZooKeeper architecture and coordination mechanism - HDFS architecture and principles |
| Flume Log Collection | 7% | - Data collection workflow - Flume architecture and components |
| Spark Distributed Computing Framework | 12% | - Spark architecture and RDD concept - Spark task scheduling and optimization - Spark SQL and Spark Streaming |
| Redis In-Memory Database | 5% | - High availability and application scenarios - Data types and storage structure |
| Big Data Development Trend & Kunpeng Big Data Solution | 3% | - Big Data industry development trends - Huawei Kunpeng big data overview - Characteristics of big data |
| LDAP & Kerberos Security | 5% | - Unified authentication principles - Kerberos authentication process |
| Flink Stream Processing Framework | 8% | - Event time and window mechanism - Stream processing scenarios - Flink architecture and data flow model |
| Elasticsearch Search Engine | 5% | - Full-text search and analysis - Architecture and indexing mechanism |
| Hive Distributed Data Warehouse | 10% | - Hive data storage and query execution - Hive data model and SQL - Hive architecture and components |
| HBase Distributed Database | 10% | - HBase read/write process - HBase architecture and data model - HBase table design and application scenarios |
Huawei HCIA-Big Data V3.0 Sample Questions:
Which of the following scenarios does Hive not apply to?
- A. Data summary. such as clicks per user per day,Click to rank
- B. Non-real-time analysis. Such as log analysis, statistical analysis
- C. data mining. Such as user behavior analysis, interest analysis, regional display
- D. Real-time online data analysis
Correct Answer: D 🗳️
The underlying data of HBase exists in the form of?
- A. real-time storage
- B. column store
- C. row storage
- D. keyvalue
Correct Answer: D 🗳️
The following description about the flink window is wrong
- A. Time points overlap between sliding windows
- B. Rolling windows are non-overlapping in time
- C. There is no overlap of time points between sliding windows
- D. Rolling windows are overlapping in time
Correct Answer: C,D 🗳️
Which description about HBase components is correct?
- A. is distributed
- B. is a NoSQL data
- C. The stored data is in the form of KV
- D. is column oriented
Correct Answer: A,B,C,D 🗳️
All Zookeeper nodes can process requests
- A. False
- B. True
Correct Answer: B 🗳️
