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

1. In FusionInsight HD, which of the following are the configuration items of Oozie's MapReduce Action? (multiple choice)

A) mapred.mapper.class
B) job-tracker
C) name-node
D) source

2. In the Fusioninsight HD product, what is wrong about the Kafka secure and non-secure port description?
(Note: The old API refers to the old Producer API and the old Consumer API. Among them, the old Consumer API: refers to the interface defined in kafka.consumer.ConsumerConnector; the old Producer API: refers to the interface defined in kafka.producer.Producer.)

A) For topics with ACL set, you can use the old API to connect to port 21005 for access.
B) The old API only supports access to port 21005; the new API is compatible with access to non-secure port 21005 and secure port 21007.
C) Kafka cluster security access port defaults to 21007, non-secure access port defaults to 21005.
D) The premise for the old API to access a topic through port 21005 is that the server parameter allow.everyone.if.no.acl.found is set to true, and the topic does not have ACL attributes set

3. In FusionInsight HD, regarding the secondary development of Hive UDF, which of the following descriptions is correct? (multiple choice)

A) User-defined UDF is not allowed to add information such as summary and status.
B) User-defined UDF can add deterministic and statefull annotations according to the actual situation.
C) In a secure cluster, user-defined UDFs are recommended to be created before each use.
D) Before the user-defined UDF is used, it needs to be created in the Hive system.

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) }.reduceByKey(_ + _) 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) }. 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. The rowkey design of HBase table is a very important development and design link.
Suppose there are the following scenarios. The most frequent query scenario is based on the mobile phone number to query the historical call records every month and every six months. Which of the following rowkey designs is the best?

A) Mobile phone number + name
B) Mobile number + date
C) Date + mobile phone number
D) Name + mobile phone number

Solutions: