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

1. In FusionInsight HD, which parts of a complete Streaming CQL application include at least? (multiple choice)

A) Application submission statement
B) Business operation statements (such as SELECT, INSERT, JION, etc.)
C) Create an input stream
D) Create an output stream

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) 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)
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 ' group by name " ).filter( " stayTime >= 120 " ).collect().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) }. val result = femaleData.filter(line => line._2> 120) result.collect().map(x => x._1 + ' , ' + x._2).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. Which Redis commands are atomic operations?

A) HINCRBY (add incremental increment to the field value in the hash table key)
B) LPUSH (push operation on linked list)
C) INCR (increase the stored digital value by one)
D) All of the above

4. In the HBase table design, for multiple businesses sharing the rowkey, which leads to data access contradictions, what strategies can be used to deal with it?

A) Compromise method (rowkey design takes into account the business needs of A and B)
B) Create a secondary index
C) Redundancy method (use space for time plant efficiency)
D) Pre-division region

5. In Spark, assuming that lines is a DStream object, the filter statement can filter out 80% of the data. Which statement is correct for the following two statements:
X: lines.filter(...).groupByKey(...)
Y: lines.groupByKey(...).filter(...)

A) X has higher performance than Y
B) X and Y have the same performance
C) It is impossible to determine the performance difference between X and Y
D) X has lower performance than Y

Solutions: