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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data Application Development Overall Guide | 15% | - Application development fundamentals - Big data concepts and architecture - Big data scenario-based solutions |
| Topic 2: Big Data Real-time Stream Computing Scenario-based Solution | 30% | - Streaming use cases and configuration - Stream data ingestion and processing - Real-time stream processing frameworks (Flume, Kafka, Spark Streaming, Flink) |
| Topic 3: Big Data Offline Batch Processing Scenario-based Solution | 25% | - HDFS and Hive fundamentals - Spark SQL and data ingestion tools (Loader, Sqoop, Kettle) - Offline batch processing solutions |
| Topic 4: Big Data Real-time Retrieval Scenario-based Solution | 30% | - Real-time retrieval solution components - Real-time query optimization - Distributed database concepts (HBase, Elasticsearch, GES) |
Question 1
For HBase column family, which of the following attributes can be set? (multiple choice)
A. Compression
B. TTL
C. Coprocessor
D. Versions
Question 2
The calculation logic of the Spark application will be parsed into DNG. Which of the following functional modules will complete this parsing operation?
A. Executor
B. Driver
C. Client
D. Application Master
Question 3
Which of the following business applications is not suitable for Hive?
A. Non-real-time analysis (log analysis, statistical analysis)
B. Real-time online data analysis
C. Data mining (user behavior analysis, interest division, regional display)
D. Data summary (number of user clicks per day/week, click ranking)
Question 4
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. True
B. False
Question 5
When indexing in Solr, which of the following code snippets can significantly improve indexing performance? (multiple choice)
A. if (updateRequest.getDocumentsMap().size() >= 10000) { cloudSolrClient.request (updateRequest, collName); updateRequest.clear(); }
B. lbClient.setRequestWriter (new BinaryRequestWriter());
C. if (updateRequest.getDocuments().size() >= 1000) { cloudSolrClient.request (updateRequest, collName); updateRequest.clear(); }
D. SolrlnputDocument doc = new SolrlnputDocument(); doc.addField ("id", i.toString()); doc.addField ("name", "Zhang San" + i); doc.addField ("features", "test" + ); doc.addField ("price", (float) i * 1.01); cloudSolrClient.add (doc); cloudSolrClient.commit();
Solutions:
| Question 1 Answer: A,B,D | Question 2 Answer: B | Question 3 Answer: B | Question 4 Answer: A | Question 5 Answer: A,B |
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Open ROADS Associate
HCIP-Big Data Developer V1.0
Open ROADS Consultant - Innovation & Lean Delivery
HCIE-Big Data-Data Mining V2.0
HCIA-Routing & Switching V2.2
Open ROADS Consultant - Digital Culture-Talent & Skills
HCIE-Carrier IP (Written) V2.0
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Open ROADS Consultant - Strategic Dynamism
HCIP-Big Data Developer V2.0
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