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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% | - HBase architecture, row-key design and optimization - Apache Phoenix and secondary indexes - CarbonData and GaussDB(DWS) basics - Elasticsearch indexing, query and cluster management |
| Topic 2: Big Data Real-time Stream Computing Scenario-based Solution | 30% | - Apache Flink: event time, watermark, windowing and state management - Kafka architecture, transactions and configuration - Spark Structured Streaming fundamentals - Flink SQL and complex event processing |
| Topic 3: Big Data Application Development Overall Guide | 15% | - Mainstream big data technologies and ecosystem - FusionInsight HD architecture and components - Scenario-based solution design overview - Application development process and specifications |
| Topic 4: Big Data Offline Batch Processing Scenario-based Solution | 25% | - Spark Core, Spark SQL and Catalyst optimization - Data ingestion tools: Loader, Sqoop, Flume - Hive development, optimization and ACID transactions - HDFS and YARN principles and configuration |
Huawei HCIP-Big Data Developer V2.0 Sample Questions:
Question 1
A large-scale production enterprise plans to transform its internal logistics data and sales data into big data.
The design department gives
Based on the analysis of the data storage scheme, which of the following statements are correct?
(multiple choice)
A. HBaseIt can store massive data and support dynamic expansion, which can fulfill the storage requirements of logistics and sales data.
B. HBaseIt can be built on ordinary commercial servers, and the construction cost is relatively low.
C. Logistics data is very sparse,HBaseCan handle sparse data efficiently.
D. HbaseIt supports efficient random reading, and can complete real-time analysis and command of the logistics situation through reasonable design.
Question 2
HDFSclient withNcopy toHDFSWhen writing a file, if one of the replicas fails to write, all replicas will return write failure
A. False
B. True
Question 3
useFusionInsight HDofHiveQuery data, when the amount of data in the intermediate results of the query is large, you can choose to compress the intermediate data Structured data for better performance.
Which of the following areHiveRelevant parameters for intermediate result compression? (multiple choice)
A. hive.intermediate.compression.codec
B. hive.exec.compress.output
C. hive.exec.compress.intermediate
D. hive.intermediate.compression.type
Question 4
FusionInsigt HDWhat distributed computing frameworks do big data platforms provide?
(multiple choice)
A. Sparkmemory-based distributed computing
B. StreamingDistributed stream computing engine
C. HBase
D. MapReduceDistributed offline batch computing engine
Question 5
FusionInsightHDin, aboutHivepartition (partition) function, which is wrong as described below?
A. There can only be one partition field, and multi-level partitions cannot be created
B. Using partitions can reduce the data scan range of some queries, thereby improving query efficiency
C. Partition fields are defined when the table is created
D. Partition fields can be used aswherecondition of the sentence
Solutions:
| Question 1 Answer: A,B,C,D | Question 2 Answer: A | Question 3 Answer: A,C,D | Question 4 Answer: A,B,D | Question 5 Answer: A |
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