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Huawei H13-723_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data Application Development Overall Guide | 15% | - FusionInsight HD architecture and components - Mainstream big data technologies and ecosystem - Scenario-based solution design overview - Application development process and specifications |
| Topic 2: Big Data Offline Batch Processing Scenario-based Solution | 25% | - HDFS and YARN principles and configuration - Data ingestion tools: Loader, Sqoop, Flume - Hive development, optimization and ACID transactions - Spark Core, Spark SQL and Catalyst optimization |
| Topic 3: Big Data Real-time Retrieval Scenario-based Solution | 30% | - Apache Phoenix and secondary indexes - Elasticsearch indexing, query and cluster management - HBase architecture, row-key design and optimization - CarbonData and GaussDB(DWS) basics |
| Topic 4: Big Data Real-time Stream Computing Scenario-based Solution | 30% | - Flink SQL and complex event processing - Spark Structured Streaming fundamentals - Apache Flink: event time, watermark, windowing and state management - Kafka architecture, transactions and configuration |
Huawei HCIP-Big Data Developer V2.0 Sample Questions:
1. HDFSRuntime,NameNodewill load all the metadata of the file system from disk into memory, so the file system can The total number of files stored is limited byNameNodememory capacity.
A) True
B) False
2. FusionInsight HDmiddle,HiveWhich of the following parameters of the client is used to controlreduceConcurrency? (multiple choice)
A) hive.exec.max.dynamic.partitions
B) hive.exec-ducers.max
C) hive.exec.max.dynamic.partitions.pernode
D) hive.exec.reducers.bytes.per.reducer
3. HBasetablerowkeyDesign is a very important development and design link.
A) Phone number+Name
B) date+Phone number
C) Name+Phone number
D) Phone number+date
4. existFusionInsight HD where can I viewMapReduceThe result of running the application?
A) FusionInsight Managerofwebinterface
B) Yarn Webinterface
C) Loader Webinterface
D) Solr webinterface
5. aboutKafkaInsufficient disk capacity alarm, which of the following analysis is incorrect for the possible reasons?
A) The disk configuration (such as the number of disks, disk size, etc.) used to store Kafka data cannot meet the current industry requirements.
service data traffic, causing the disk usage to reach the upper limit
B) Unreasonable business planning results in uneven data distribution and some disks reach the upper limit of usage
C) Broker node failure caused
D) The data storage time is configured too long, and the accumulated data reaches the upper limit of the disk usage.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B,D | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: C |
