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Huawei H13-723 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Real-time Data Processing | - Stream Processing Concepts - Flink/Spark Streaming Basics |
| Topic 2: Hadoop Ecosystem Technologies | - HDFS and Data Management - YARN Resource Scheduling |
| Topic 3: Distributed Data Processing | - MapReduce Principles - Spark Computing Framework |
| Topic 4: Big Data Fundamentals | - Big Data Architecture and Ecosystem Overview - Data Storage and Processing Concepts |
| Topic 5: Data Development and Engineering Practices | - Data Pipeline Development - ETL Design and Implementation |
Huawei HCIP-Big Data Developer V1.0 Sample Questions:
1. There is a file test.txt in the root directory of the HDFS cluster. Which of the following commands can check the DatNode node information stored in this file?
A) hdfs fsck /test.txt -locations
B) hdfs fsck /test.txt -blocks
C) hdfs fsck /test.txt -list -corruptfileblocks
D) hdfs fsck /test.txt -files
2. In FusionInsight HD, Oozie needs to upload the configuration files and jar packages that the job relies on to HDFS before submitting the job
A) False
B) True
3. 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) 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 ' group by name " ).filter( " stayTime >= 120 " ).collect().foreach(println)
4. On the client of FusionInsight HD, execute the kinit {account} command to get what item of KDC?
A) Krb5.conf
B) TGT
C) ST
D) jaas.conf
5. An application needs to interact with two FusionInsight clusters at the same time: it needs to access both the HBase service of cluster 1 and the Hive service of cluster 2;
So which of the following operations are necessary? (multiple choice)
A) Cluster 1 and cluster 2 complete mutual trust operation
B) Create an account with the same name in option A on cluster 2, and set this account to access the Hive service of this cluster
C) The accounts created by option A and option B must belong to the supergroup group
D) Create the account required for this application on cluster 1, and set this account to access the HBase service of the cluster
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: C,D | Question # 4 Answer: B | Question # 5 Answer: A,B,D |


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