Huawei Exam H13-723_V2.0 Topic 1 Question 17 Discussion

Actual exam question for Huawei's H13-723_V2.0 exam

Question #: 17
Topic #: 1

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)

Asc.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)

Bsc.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)

Cval 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)

Dval 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)

Show Suggested Answer

Suggested Answer: A, C, D

by Dulce at Feb 27, 2023, 08:19 PM

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Helaine

1 months ago

Option B is the way to go, like a boss! It's the 'belle of the ball' when it comes to this business scenario.

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I think option A is correct because it filters out female netizens who spend more than two hours online.

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