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Huawei HCIP-Big Data Developer Sample Questions:

1. When the HDFS client writes files to HDFS with N copies, if one of the copies fails to write, all copies will return the write failure.

A) False
B) True

2. In FusionInsight HD, regarding Ooze job management, which of the following operations can be performed on suspended jobs? (multiple choice)

A) resume
B) run
C) kill
D) submit

3. For files stored in N (N>1) copies, the HDFS client initiates a file read request. If the read copy node fails, it will directly return to failure and will not go to other copy nodes for reading.

A) False
B) True

4. Regarding the characteristics of the data collected by Flume, which of the following descriptions is correct?

A) Support distributed and streaming collection
B) Use external timing tasks to trigger data collection
C) Parallel collection with MapReduce tasks
D) Only structured data can be collected

5. There are the following business scenarios: the user's online log files have been stored on HDFS, and the log file content format is: each online record has three fields, namely name, gender, and online time, separated by "," between the fields; All female netizens who spend more than two hours online are required to print out.
Which of the following code fragments can achieve the above business scenarios? (multiple choice)

A) val text = sc.textFile("/data/file/path") val data = text.filter(_.contains("female")) val femaleData:RDD[(String,Int)] = data.map{Iine => val t = line.split( ' , ' ) (t(0),t(2).tolnt) }. val result = femaleData.filter(line => line._2> 120) result.collect().map(x => x._1 + ' , ' + x._2).foreach(println)
B) val text = sc.textFile("/data/file/path") val data = text.filter(_.contains("female")) val femaleData:RDD[(String,Int)] = data.map{Iine => val t = line.split( ' , ' ) (t(0),t(2).tolnt) }.reduceByKey(_ + _) val result = femaleData.filter(line => line._2> 120) result.collect().map(x => x._1 + ' , ' + x._2).foreach(println)
C) sc.textFile( " /data/file/path " .map(_.split( " , " ).map(p => Femalelnfo(p(0), p(1), p (2) .trim.tolnt)).toDF.registerTempTable("FemalelnfoTable") sqlContext.sql("select name,sum(stayTime) as stayTime from FemalelnfoTable where gender = ' Female ' group by name " ).filter( " stayTime >= 120 " ).collect().foreach(println)
D) sc.textFile( " /data/file/path " .map(_.split( " , " ).map(p => Femalelnfo(p(0), p(1), p (2) .trim.tolnt)).toDF.registerTempTable("FemalelnfoTable") sqlContext.sql("select name,sum(stayTime) as stayTime from FemalelnfoTable where gender = ' Female '" ).filter( " stayTime >= 120 " ).collect().foreach(println)

Solutions: