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Huawei H13-723_V2.0 Exam Syllabus Topics:

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

1. 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) Bucket table, bucket according to day
B) skew table, skew field select date, skew value random
C) partition+Bucket table, partitioned by time, each partition2560buckets
D) Partition table, partitioned by day

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

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

3. existKafka, as follows aboutProducerWhat is wrong with the statement of sending data?
(multiple choice)

A) ProducerResponsible for production data,Consumerresponsible for consuming data,ProducerandConsumerneed between
B) Producercan either send data toBroker, and can send data toConsumersuperiorProducer
C) As a message producer, you can directly write data toZooKeeper Producerconnect any normalBrokerInstances can produce data
D) EstablishSocketconnect

4. Which of the following business applications is notHiveApplicable scenarios?

A) Data mining (user behavior analysis, interest division, regional display)
B) Real-time real-time online data analysis
C) Non-real-time analysis (log analysis, statistical analysis)
D) Data Aggregation (Daily/Weekly user clicks, click ranking)

5. existBaseIn application development, when a table'sRowkeyRange and distribution are known, pre-score is recommendedregion, Please call the following code (fragment) to pre-sort a tableregionAfter this table will create severalregion?
splits0=Bytes.toBytes("A");splits1=Bytes.toBytes("H");splits2
=Bytes.toBytes("O");splits3=Bytes.toBytes("U");admin.createTable(htd,splits);

A) 4
B) 5
C) 6
D) 3

Solutions: