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Huawei HCIP-Big Data Developer V1.0 Sample Questions:

1. 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) 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)
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) }. 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) 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)

2. In FusionInsight HD, use the Streaming command line to submit the om.huawei.examole.WordCount task in example.jar. The task name is wcTest. Which of the following commands is correct?

A) storm jar example .jar wcTest om.huawei.example.WordCount
B) storm jar example.jar WordCount wcTest
C) storm jar example .jar wcTest WordCount
D) storm jar example .jar om.huawei.example.WordCount wcTest

3. In MapReduce application development, which of the following JAVA classes is responsible for managing and running a computing task?

A) FileSystem
B) lob
C) Context
D) Configuration

4. Regarding the disaster tolerance of Streaming, which of the following statements is correct? (multiple choice)

A) After Nimbus fails, the standby Nimbus will automatically take over, without affecting the running business.
B) After the Supervisor process exits, it can be automatically recognized and pulled up by Nimbus without affecting the running business.
C) Worker can be automatically pulled up by Supervisor after abnormal exit without manual intervention.
D) When a node fails, tasks on that node will be reassigned to other normal nodes without manual intervention.

5. There are scenarios where 500G of new data is generated by the online system every day, and these data need to be statistically summarized in dimensions such as days, weeks, and months.
Which table is suitable for Hive processing?

A) Bucket table, according to talent
B) Partition + bucket table, partitioned by time, 2560 buckets per partition
C) Partition table, partition by day
D) Tilt table, select the date in the tilt field, and the tilt value is random

Solutions: