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

1. In FusionInsight HD, when using SparkSQL, which of the following methods (or tools) can be used to execute SQL statements? (multiple choice)

A) JDBC
B) spark-beeline
C) spark-sql

2. 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) 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)
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) 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)

3. What distributed computing framework does the FusionInsigt HD big data platform provide? (multiple choice)

A) HBase
B) Spark
C) MapReduce
D) Streaming

4. In FusionInsigt HD, which of the following components can be used for data collection? (multiple choice)

A) Loader
B) MapReduoe
C) HBase
D) Flume

5. Which of the following measures can improve the query performance of HBase? (multiple choice)

A) Query frequent attributes are placed in front of rowkey
B) Use secondary indexes to adapt to more query scenarios
C) The data read at the same time are stored in the same cell
D) Pre-divide regions to make regions evenly distributed and improve concurrency

Solutions: