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Huawei H13-711_V3.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Spark Distributed Computing Framework | 12% | - Spark architecture and RDD concept - Spark task scheduling and optimization - Spark SQL and Spark Streaming |
| HBase Distributed Database | 10% | - HBase read/write process - HBase architecture and data model - HBase table design and application scenarios |
| LDAP & Kerberos Security | 5% | - Unified authentication principles - Kerberos authentication process |
| MapReduce & YARN | 12% | - YARN architecture and resource scheduling - MapReduce programming model and workflow - Task execution and resource management |
| Big Data Development Trend & Kunpeng Big Data Solution | 3% | - Big Data industry development trends - Huawei Kunpeng big data overview - Characteristics of big data |
| Flink Stream Processing Framework | 8% | - Event time and window mechanism - Stream processing scenarios - Flink architecture and data flow model |
| Kafka Messaging System | 9% | - Kafka architecture and core concepts - Message production and consumption |
| Redis In-Memory Database | 5% | - High availability and application scenarios - Data types and storage structure |
| 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 |
| Elasticsearch Search Engine | 5% | - Full-text search and analysis - Architecture and indexing mechanism |
| 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 |
| Hive Distributed Data Warehouse | 10% | - Hive data storage and query execution - Hive data model and SQL - Hive architecture and components |
Huawei HCIA-Big Data V3.0 Sample Questions:
1. 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
2. The underlying data of HBase exists in the form of?
A) real-time storage
B) column store
C) row storage
D) keyvalue
3. 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
4. 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
5. All Zookeeper nodes can process requests
A) False
B) True
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: D | Question # 3 Answer: C,D | Question # 4 Answer: A,B,C,D | Question # 5 Answer: B |
