Free Huawei H13-723_V2.0 Practice Exam with Questions & Answers | Set: 6

Real-time online data analysis.

Data mining, such as user behavior analysis, interest division, regional display.

Data summary, such as daily and weekly user clicks, click ranking.

Non-real-time analysis, such as log analysis, statistical analysis.

mouthIbClient.setRequestWriter(new BinaryRequestWriterO);

mouthif(updateRequest.getDocumentsMapO.size)>=10000){

cloudSolrClient.request(updateRequest,collName);updateRequest.clear);

mouthif(updateRequest.getDocuments).size(O>=1000){

cloudSolrClient.request(updateRequest,collName);updateRequest.clearO;

S8tW9H2xgntdc=new SolrInputDocument);

doc.addField("id",i.tostring( )doc.addField("name", "Zhang San4i);

doc.addField("features","test"+i):

doc.addreldc"price, (float)*1.oi);

cloudSolrClient.add(doc);

cloudSolrClient.commitO:

taildir

Log

JMS

Thrift

mouthJDB, Cinterface

mouthODB, Cinterface

mouthPythoninterface

mouthRubyinterface

requires fullA, CIDFeature application scenarios

Mass data application scenarios

High throughput application scenarios

Semi-structured data application scenarios

When the client initiates a scan request, it willscan cachingset too large

Initiate by client-specified methodFlushdo

RegionServerTotal memory exceeds threshold

RegionofMemStoreset over threshold

ResourceManager

container

AppMaster

NodeManager

Produceris a message producer

ProducerProduction data needs to be specifiedTopic

Can play multiple at the same timeProducerprocess to the sameTopicsend data

ProducerNeed to connect first when producing dataZooKeeper, and then connectBroker

lines.flatMap(_.split(" ")).map(word =>(word,1)).reduce(_+_).print( )

lines.flatMap(_.split(" ")).map(word =>(word,word.length())).reduceByKey

(_+_).print( )

lines.flatMap(_.split(" ")).map(word =>(word,1)).reduceByKey(_+_).print

( )

lines.flatMap(_.split(" ")).flatmap(word =>(word,1)).groupByKey(_+_).print

( )

Create an index on solr, save the data, and return all the data during full-text search

Store data on HBase, and satisfy fuzzy matching queries through HBase's filtering feature

When storing data, build an index on solr, and store complete data in HBase: query full text through solr

Retrieve the key information of the record, and obtain the complete record on HBase through the key information

broadcast variable in everyTasksave a copy

broadcast variable in eachExecutorsave a copy

Broadcast variables are read-only

broadcast variable viaSparkContext.broadcast() method to generate

The client caches the topology information of the cluster

The server caches the topology information of the cluster

both are

more than two

HBase

Spark

MapReduce

Streaming

Producer

Broker

Consumer

ZooKeeper

True

False