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Huawei HCIP-Big Data Developer Sample Questions:

1. In Spark, assuming that lines is a DStream object, which of the following statements can periodically count the number of words on this stream?

A) Iines.flatMap(_.split (" " )).flatMap(word => (word, 1)).groupByKey(_ +_).print()
B) Iines.flatMap(_.split (" " )).map(word => (word,word.Iength())).reduceByKey (_ +_).print()
C) Iines.fIatMap(_.spIit (" " )).map(word => (word, 1)).reduceByKey(_ +_).print()
D) Iines.flatMap(_.split (" " )).map(word => (word, 1)).reduce(_ +_).print()

2. In Spark 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 (word => (word, 1)).groupByKey ()
C) val counts = textFile.map (line=>line.split (" ")).map (word => (word, 1)).groupByKey ()
D) val counts = textFile.flatMap (line=>line.split (" ")).map (word => (word, 1)).reduceByKey(_ +_)

3. 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 '" ).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 ' group by name " ).filter( " stayTime >= 120 " ).collect().foreach(println)

4. On the client of FusionInsight HD, execute the kinit {account} command to get what item of KDC?

A) TGT
B) Krb5.conf
C) jaas.conf
D) ST

5. In FusionInsight HD's Hive, the user-defined UDF can have the same name as the Hive built-in UDF. In this case, the user-defined UDF will be used.

A) False
B) True

Solutions: