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Huawei HCIP-Big Data Developer V2.0 Sample Questions:

1. Flumesupport real-time data collection source Which is the type?
Taildir Log4jJMSThrift 12.FusionInsight HDofHive, user-definedUDFcan andHiveBuilt-inUDFrepeat name, In this case, the user-definedUDF.

A) True
B) False

2. existSolrWhen indexing, which of the following code snippets can significantly improve indexing performance? (multiple choice)

A) IbClient.setRequestWriter(new BinaryRequestWriter())
B) if(updateRequest.getDocuments( ).size( )>= 1000){
cloudSolrClient.request(updateRequest,collName);updateRequest.clear();}
C) if(updateRequest.getDocumentsMap(O.size( )>= 10000)cloudSolClient.request (updateRequest,collName);updateRequest.clear();}
D) SolrInputDocument doc = new SolrInputDocument();doc.addField("id",i.toString ());doc.addField("name", "Zhang San"+ i);doc.addField("features","test"+ i);doc.addField ("price", (float)i*1.01);cloudSolrClient.add(doc);cloudSolrClient.commit();

3. existSparkmiddle,SparkSQLis an independent module that does not depend onSparkCoretstandtasQaon.eaR.
operation, etc.

A) True
B) False

4. There are the following scenarios: new data is generated by the online system every day500G, you need to make statistics on these data by day, week, month and other dimensions summary.
ask if it is suitable for useHiveWhat kind of table to handle?

A) Bucket table, bucket according to day
B) skew table, skew field select date, skew value random
C) partition+Bucket table, partitioned by time, each partition2560buckets
D) Partition table, partitioned by day

5. Spark StreamingAs a micro-batch stream processing engine, it converts the data of each time slice into aRDDone of partitions are calculated.

A) True
B) False

Solutions: