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

1. Regarding Streaming's topology, what is wrong in the following description?

A) Business logic is encapsulated in Topology
B) A Topology can only specify to start one Worker process
C) A Topology is a directed acyclic graph (DAG) connected by a set of Spout components and Bolt components through Stream Groupings
D) Topology will keep running until it is explicitly killed

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

3. In FusionInsight HD, regarding Oozie's job operation commands, which of the following descriptions are correct? (multiple choice)

A) The kill command can be used on jobs in PREP/SUSPEND/RUNNING status
B) The run command can make the job status RUNNING
C) The start command can make the job in the PREP state become RUNNING
D) The submit command can change the status of the job to PREP

4. 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) 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)
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)

5. In Kafka, Consumer can support both offline and online message consumption, but the consumption of data is sequential consumption.

A) True
B) False

Solutions: