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Huawei H13-723_V2.0 Exam Syllabus Topics:

SectionObjectives
Data Storage and Messaging- Distributed Storage Systems
  • 1. HDFS data storage mechanisms
    • 2. Data reliability and replication
      - Messaging Systems
      • 1. Data ingestion pipelines
        • 2. Kafka architecture and usage
          Big Data Fundamentals- Big Data Concepts and Architecture
          • 1. 5V characteristics of big data
            • 2. Big data ecosystem overview
              - Hadoop Ecosystem Basics
              • 1. HDFS architecture and principles
                • 2. YARN resource management
                  Distributed Data Processing Frameworks- Stream Processing
                  • 1. Real-time data processing principles
                    • 2. Flink architecture
                      - Spark Framework
                      • 1. RDD/DataFrame basics
                        • 2. Spark SQL and performance optimization
                          Big Data Application and Operations- Data Processing Pipeline Design
                          • 1. ETL workflow design
                            • 2. Batch vs stream processing design
                              - Security and Maintenance
                              • 1. Cluster monitoring and optimization
                                • 2. Big data security mechanisms

                                  Huawei HCIP-Big Data Developer V2.0 Sample Questions:

                                  Question #1

                                  existMapReduceIn the development framework,InputFormatWhat is the function of the class?

                                  • A. put allmapThe results of the stages are merged to get the final result
                                  • B. mergemapThe result of the stage has the samekeyvalue key-value pair
                                  • C. rightmapThe results of the stages are sorted and merged
                                  • D. Split the input data into individualsplit, and willsplitfurther split into<key,value>yes, then asmapletter input of numbers
                                  Answer: D
                                  Question #2

                                  in aMapReduceapplication,mapThe output of the function is viaMapReduce? ?After processing, send toreduceletter number. This process belongs to? ?Sort and group pairs.

                                  • A. True
                                  • B. False
                                  Answer: A
                                  Question #3

                                  existSparkIn application development, which of the following codes can correctly count words?

                                  • A. val counts=textFile.map(line=>line.split(" ')).map(-rd=>(word,1)).reduceByKey(_+_)
                                  • B. val counts=textFile.flatmap(line=>line.split(" ")).map(-rd=>(word,1)).reduceByKey()
                                  • C. val counts=textFile.flatMap(line=>line.split(" ")).map(word=>(word,1)).reduceByKey(_+_)
                                  • D. val counts=textFile.map(line=>line.split(" ")).map(word=>(word,1)).groupByKey()
                                  Answer: C
                                  Question #4

                                  existHBaseWhile the application is running, the application can write data while creating the table.

                                  • A. True
                                  • B. False
                                  Answer: B
                                  Question #5

                                  FusionInsight HDofHBasesave a user information table inmeg table, Rowkeyfor usersid, One of the columns is the user's nickname, now write three to this column in orderKeyValue:001:Li,001:Mary,
                                  001:Lily,Excuse mescan'meg table,{VERSIONS=>2}What data will be returned?

                                  • A. 001:Li,001:Mary,001:LiLy
                                  • B. 001:Lily
                                  • C. 001:Li
                                  Answer: A

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