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HCIP-Big Data Developer V2.0 H13-723_V2.0 exam torrent materials
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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 - Application development process and specifications - Scenario-based solution design overview - Mainstream big data technologies and ecosystem |
| Topic 2: Big Data Real-time Retrieval Scenario-based Solution | 30% | - CarbonData and GaussDB(DWS) basics - HBase architecture, row-key design and optimization - Elasticsearch indexing, query and cluster management - Apache Phoenix and secondary indexes |
| Topic 3: Big Data Real-time Stream Computing Scenario-based Solution | 30% | - Apache Flink: event time, watermark, windowing and state management - Kafka architecture, transactions and configuration - Flink SQL and complex event processing - Spark Structured Streaming fundamentals |
| Topic 4: Big Data Offline Batch Processing Scenario-based Solution | 25% | - Spark Core, Spark SQL and Catalyst optimization - Data ingestion tools: Loader, Sqoop, Flume - HDFS and YARN principles and configuration - Hive development, optimization and ACID transactions |
Huawei HCIP-Big Data Developer V2.0 Sample Questions:
1. which is notflumeofchannelTypes of?
A) File Channel
B) JDB, C Channel
C) Memory Channel
D) HDFS Channel
2. Fusionlngight HDin the system,SolkaExample projectsdk-sxamgelconlf\udlr-eamgple propertyamiddleZX.URLandZ0OKEEPER DEFAULT SERVER PRINCIPLThe value can be obtained from the following Which is the quickest pick?
A) existsdr-ecawnpletconftsolr-esamole-properts, has always defaulted to these two parameters
B) fromSolr Adimin Ulinterface acquisition
C) fromFuwnloninuight Manager SoService configuration interface acquisition
3. there are the following scenarios: new data is generated by the online system every day500G, it is necessary to analyze these data by day, week, Monthly and other dimensions for statistical summary. ask if it is suitable for useHiveWhat kind of table to handle?
A) Partition table, partitioned by day
B) skew table, skew field select date, skew value random
C) partition+Bucket table, partitioned by time, each partition2560buckets
D) Bucket table, bucket according to day
4. Which of the following components must depend onZooKeeperto run()?
(multiple choice)
A) HBase
B) HDFS
C) Spark
D) YARN(streaming)
5. FusionInsight HDproduct, aboutKafkaThe component statement is correct?
(multiple choice)
A) KafkaofProducerWhen sending a message, you can specify which message is sent byConsumerConsumption.
B) KafkaAfter the installation is complete, you can no longer configure the data storage directory.
C) KafkaMetadata information will be stored inZooKeepersuperior.
D) while creatingTopc, the number of replicas must not be greater than the currently survivingBrokerThe number of instances, otherwise createTopicWill will fail.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: A,B,D | Question # 5 Answer: C,D |
