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Huawei H13-723_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data Real-time Retrieval Scenario-based Solution | 30% | - Apache Phoenix and secondary indexes - CarbonData and GaussDB(DWS) basics - HBase architecture, row-key design and optimization - Elasticsearch indexing, query and cluster management |
| Topic 2: Big Data Offline Batch Processing Scenario-based Solution | 25% | - Spark Core, Spark SQL and Catalyst optimization - Hive development, optimization and ACID transactions - HDFS and YARN principles and configuration - Data ingestion tools: Loader, Sqoop, Flume |
| Topic 3: Big Data Application Development Overall Guide | 15% | - Scenario-based solution design overview - Mainstream big data technologies and ecosystem - FusionInsight HD architecture and components - Application development process and specifications |
| Topic 4: Big Data Real-time Stream Computing Scenario-based Solution | 30% | - Kafka architecture, transactions and configuration - Flink SQL and complex event processing - Apache Flink: event time, watermark, windowing and state management - Spark Structured Streaming fundamentals |
Huawei HCIP-Big Data Developer V2.0 Sample Questions:
1. Regarding the Hive service of the FusionInsight HD platform and its WebHCat development interface, the following description does not the correct one is
A) Support for REST-based query requests
B) WebHCat provides external services based on HTTP and HTTPS protocols
C) The returned data format of WebHCat is XML
D) You can create tables, query and other operations through WebHCat
2. Solris a high-performance, basedLucenefull-text search service.SolrrightLuceneexpanded, provides a ratioLuceneA richer query language and a powerful full-text search function are implemented, with a high degree of reliability.
Extensibility. At the same time fromSolr 4.0Version starts, supportsSolrCloudmodel.
A) False
B) True
3. existSpark, which of the following is trueDataFrameThe operator that takes the intersection?
A) intersect (other: Data Frame): Data Frame
B) filter (condifionExpr: String): DataFrame
C) dropDuplicates (): DataFrame
D) join (right: DataFrame, join Exprs: Column): DataFrame
4. which come downRedisIs the command an atomic operation?
A) LPUSH(for linked listspushoperate)
B) All of the above
C) HINCRBY(for the hash tablekeydomain infieldvalue plus incrementincrement)
D) INCR(increment the stored digital value by one)
5. SparkandHadoopNeither is suitable for iterative calculation scenarios.
A) False
B) True
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: A |
