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

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

A) Split the input data into individualsplit, and willsplitfurther split into<KEY,VALUE>right, then asmapinput to the function
B) put allmapThe results of the stages are merged to get the final result
C) rightmapThe results of the stages are sorted, merged,
D) mergemapThe result of the stage has the samekeyvalue key-value pair

2. HDFSSupport large file storage, support for multiple users to write operations to the same file at the same time, and can be modified anywhere in the file.

A) True
B) False

3. FusionInsightHDin, aboutHivepartition (partation) function, which is wrong as described below?

A) Partition fields can be used aswherecondition of the sentence
B) There can only be one partition field, and multi-level partitions cannot be created
C) Partition fields are defined when the table is created
D) Using partitions can reduce the data scan range of some queries, thereby improving query efficiency

4. forSpark Streamingapplication, in aJVM, there can only be one at a timeStreamingContextactive condition.

A) True
B) False

5. There are the following business scenarios: User online log files have been stored inHDFSabove, the log file content format the formula is: each online record has three fields, namely name, gender, and online time, and the fields are separated by ","; It is required to print out all female netizens who spend more than two hours online. Which of the following code snippets can achieve The above business scenario? (multiple choice)

A) sc.textFile("/data/file/path").map(.split(",")).map(p=>FemaleInfo(p
(O),p(1),p(2).trim.toInt)).toDF.registerTemp Table("FemaleinfoTable")sqlContext.sql ("select name,sum(stay Time)as stay Time from FemaleInfoTable where gender= female'group by name").filter("stay Time >=120").collect).foreach(printin)
B) val text=sc.textFile("/data/fle/path")
val data=text.filter(_.contains("female"))
Val fermaleData:RDD(String,Int) =data.map{line=>val t=line.split(',')
(t(0),t(2).toInt)
}.reduceByKey(_+_)
Val result=femaleData.filter(line=>line.2>120)
Rusult.collect.map(x=>x._1 + ',' + x._2).foreach(println)
C) sc.textFile("/data/file/path").map(.split(",")).map(p=>FemaleInfo
(p(O),p(1),p(2).trim.toInt)).toDF.registerTemp Table("Female infoTable") sqlContext.sq(l "select name, sum(stay Time)as stay Time from FemaleInfoTable where gender=female).filter("stay Time >=120").collect).foreach(printin)
D) val text=sc.textFile("/data/fle/path")
val data=text.filter(_.contains("female"))
Val fermaleData:RDD(String,Int) =data.map(line=>val t=line.split(',')
(t(0),t(2).toInt)
}
Val result=femaleData.filter(line=>line.2>120)
Rusult.collect.map(x=>x._1 +','+ x._2).foreach(println)

Solutions: