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Huawei HCIP-Big Data Developer Sample Questions:

1. Suppose there is an application, there are 10 tables, each table has tens of millions of records, and the number of fields is about 20.
Now Redis is used to cache the data of these 10 tables. For the design of the data structure, which of the following is the best design?

A) Using string structure, each row of each table uses a KEY, and value is the concatenated value of all the fields in a row of the table.
B) Using a hash structure, each row record of each table uses a hash KEY, the field of the hash KEY corresponds to the field of the table record, and each table is designed with a different prefix to distinguish it.
C) Using string structure, each field in each row of each table uses a KEY.
D) A hash structure is adopted, and a table uses a hash KEY, and a row in the table records a field for the hash KEY.

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

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

3. In FusionInsight HD, for the creation and read-write permissions of various resources in Solr, which of the following statements is wrong?

A) Users of the Solr user group can create Collection
B) Collection creator, role with read and write access to the collection, and Solr admin role can update the collection
C) Solr user group users can create a configuration set and specify the configuration set when creating a Collection
D) Only the collection creator and Solr admin roles can delete a collection

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 '" ).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)

5. In a MapReduce application, the output of the map function is processed by the MapReduce framework and sent to the reduce function. This process is based on key-value pairs for sorting and grouping.

A) True
B) False

Solutions: