H13-723_V2.0 Practice Exam Questions with Answers HCIP-Big Data Developer V2.0 Certification

to emit

execute

open

nextTuple

Assign this user accountglobalread permission

Give this user accountNamespace1read and write permissions

Assign this user accountTable1andTable2read and write permissions

Assign this user accountNamespace1andNamespace2read and write permissions

eachDataNodemaximum storage1copy.

Support multiple users to write to the same file at the same time.

The first copy of the data block is placed preferentially on the node where the client writing the data block is located.

Copied file blocks all exist on the same rack by default.

HMaster

DataNode

HRegionServer

ZooKeeper

Active and standbyNameNodeof metadata is running out of disk space.

The number of missing blocks exceeds the threshold.

Lost replicas exceed the threshold.

The corrupted copy exceeds the threshold.

used to filter data

Used to optimize random performance

will increase storage consumption

Can accurately determine that a certain data does not exist

NodeManager

Resource Manager

Data Node

NameNode

True

False

priority from the nearestDataNodeDownload data.

file data fromDataNodeback toNameNode, then fromNameNodeDown to the client.

If the client and the connectedDataNodeIf there is a failure in reading, then the client will give up the applause node and connect the node where other replicas are located.

Supports multiple clients fromDataNoderead the same file data.

True

False

True

False

Active and standbyNameNodeThe disk space where the metadata is located is insufficient.

The number of missing blocks exceeds the threshold.

Lost replicas exceed the threshold.

The corrupted replica exceeds the threshold.

True

False

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

Initiate by client-specified methodFlushdo

RegionServerTotal memory exceeds threshold

RegionofMemStoreset over threshold

OneTopologyis made up of a group ofSpoutcomponents andBoltcomponents passStream GroupingsA connected directed acyclic graph (DAG)

Topologywill run until it is explicitlykill

Business logic is encapsulatedTopologymiddle

OneTopologyOnly one can be specified to startWorkerprocess

Mass data storage

Lots of small file storage

large file storage

Streaming file storage

INCR(increment the stored digital value by one)

HINCRBY(for the hash tablekeydomain infieldvalue plus incrementincrement)

LPUSH(for linked listspushoperate)

All of the above

index name

index column

index column type

The name of the column family to which the indexed column belongs

CRC

Parquet

RCFile

TextFile

True

False

split

combine

partition

sort

twoworkerone of theworkerdistribute two

twoworkerone for each

no fixed rules

In a network isolation environment,ZooKeeperofIPCan be configured as a businessIP, can also be configured to manageIP.

HiveUnlike traditional databases, soJDB, CThe established connection does not need to be closed.

In a secure cluster environment, establish andHiveBefore connecting, you need to use unified authentication to log in.

useJDB, CsubmitSQL, you canSQLA semicolon ";" is added after the statement.

True

False

yarn.nodemanager.local-dirs

yarn.nodemanager.log-dirs

yarn.acl.enable

yarn.log-aggregation-enable

True

False

INCR(increment the stored digital value by one)

HINCRBY(for the hash tablekeydomain infieldvalue plus incrementincrement

LPUSH(for linked listspushoperate)

All of the above

YARN

HDFS

Hive

HBase

True

False

HDFS

HBase

Kafka

Redis

True

False

Client

Application Master

Executor

Driver

True

False

True

False

True

False

twenty two

storm jar example jar wcTest om huawei example WordCount

storm jar example jar wcTest WrodCount

storm jar example jar om huawei example WordCount wcTest

storm jar example jar WorkCount wcTest

True

False

read only

partition

fault tolerance

efficient

Producer

Broker

Consumer

ZooKeeper

True

False

Both are available externallySQLor classSQLability

Both can run onMapReduceon the computational framework

Both are available via table fields andHBaseAccess by field mappingHBasedata on

Both can run onSparkon the computational framework

True

False

Support based onRESTquery request

WebHCatThe return data format isSML

WebHCatbased onHTTPandHTTPSAgreement to provide services to the outside world

able to passWebHCatCreate tables, query, etc.

The client caches the topology information of the cluster

The server caches the topology information of the cluster

both are

more than two

priority from the nearestDataNodeDownload data.

file data fromDataNodeback toNameNode, then fromNameNodeDown to the client.

If the client and the connectedDataNodeIf there is a failure in reading, then the client will give up the applause node and connect the node where other replicas are located.

Supports multiple clients fromDataNoderead the same file data.

JDB, C

spark-beeline

spark-sql

mergemapThe result of the stage has the samekeyvalue key-value pair

put allmapThe results of the stages are merged to get the final result

rightmapThe results of the stages are sorted and merged

Split the input data into individualsplit, and willsplitfurther split intoyes, then asmapletter

input of numbers

krb5.confconfiguration file

existFusionInsight ManagerUser account applied on

user accountkeytabdocument

jaas.confconfiguration file

available fromHDFSdirectly into thehivesurface

available fromHiveServerThe local hard disk of the node is directly loaded into thehivesurface

It can be directly loaded from the local hard disk of the node where the client is located.hivesurface

HiveThe data loading process will not parse the specific file content, mainly the process of file transfer

True

False

KafkaIt is a high-throughput, distributed, publish-subscribe-based messaging system

KafkaPersistence of messages

KafkaApplicable to offline and online message consumption scenarios

Kafkaguarantee eachPartitionmessages in order

In a network isolation environment,ZooKeeperofIPCan be configured as a businessIP, can also be configured to manageIP.

HiveUnlike traditional databases, soJDB, CThe established connection does not need to be closed.

In a secure cluster environment, establish andHiveBefore connecting, you need to use unified authentication to log in.

useJDB, CsubmitSQL, you canSQLA semicolon ";" is added after the statement.

Versions

TTL

Coprocessor

Compression

SupervisorAfter the process exits, it can beNimbusAutomatically identify and pull up without affecting running business.

WorkerCan be used after abnormal exitSupervisorPulls up automatically without manual intervention.

When a node fails, the tasks on the node will be reassigned to other normal nodes without manual intervention.

NimbusAfter the failure, the backupNimbusIt will take over automatically without affecting the running business.

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 ( )

Partition Table

bucket table

Tilt table

partition+bucket table

Client

Application Master

Executor

Driver

HDFS

HBase

Hive

Flink

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:

user definedUDFBefore being used, it needs to beHivecreate this in the systemUDF.

user definedUDF, information such as summary and status is not allowed.

user definedUDF, can be added according to the actual situationdeterministicandstatefulletc. Annotation

Under the secure cluster, user-definedUDF, it is recommended to create it once before each use.

Give this user accountglobelread permission

Give this user accountNamespace1read and write permissions

Give this user accountTable1andTable2read and write permissions

Give wave user accountNamespace1andNamespace2read and write permissions,

Shuffle Grouping

Field Grouping

Laal Gg

Direct Grouping

mouthShuffle Groupingrandom grouping

mouthField Groupingfield grouping

mouthLocal Groupinglocal grouping

mouthDirect Groupingdirect grouping

True

False

HDFSDepend onNameNode,DataNode,Clientcomposition.

HDFSprepareNameNodeThe metadata on theNameNodeSync the past directly.

HDFSThe first copy of the data can be stored by using the rack node close to the client.

HDFSIt is suitable for the scenario of writing once and reading many times.

mergemapThe result of the stage has the samekeyvalue key-value pair

put allmapThe results of the stages are merged to get the final result

rightmapThe results of the stages are sorted, merged,

Split the input data into individualsplit, and willsplitfurther split intoright, then asmapinput to the function

True

False

FusionInsight ManagerofWebinterface

Loader Webinterface

Solr Webinterface

Yarn Webinterface

True

False

True

False

ZooKeeper

HDFS

HMaster

RegionServer

Table Name

table names and columns

Table names and column families

can be empty

True

False