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HCIA-Big-Data-DUMPS-147-QUESTIONS.pdf
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HCIA BIGDATA H13-711 V2.0 EXAM DUMPS
HDFS
Q1
Which of the following are distributed storage components in the Hadoop
platform? CD
A. MapReduce
B. Spark
C. HDFS
D. HBase
Q2
In HDFS, data blocks are stored with multiple replicas. If a data block on a
node is lost, you need to manually copy a data replica to the node.
F
128MB -OneBlock
Q3
Which of the following HDFS component is responsible for storing user data?
B
A. NameNode
B. DataNode
C. ZooKeeper
D. JobTracker
Q4
NameNodes of HDFS store metadata of file systems T
Q5
Which statements about HDFS are correct? ACD
A. HDFS consists of NameNodes, DataNodes, and Clients.
B. Metadata on the standby NameNode of HDFS is directly synchronized from the
active NameNode. F
C. HDFS stores the first replica on the nearest node.
D. HDFS is ideal for Write Once Read Many (WORM) tasks.
Q6
Which statements are correct about the functions of the standby NameNode in
HDFS? AC
^^^^A. Hot spare for the active NameNode
^^^^B. The standby NameNode does not have specific memory requirements. ^^^^C.
The standby NameNode helps the active NameNode merge edit logs, reducing the
startup time of the active NameNode.
^^^^D. The active and standby NameNodes must be deployed on the same node.
Q7
Which statement is correct about uploading files from a client to HDFS?
B
^^^^A. The file data of the client is transmitted to DataNodes via NameNodes.
^^^^B. The client divides files into multiple blocks and writes data blocks
to each DataNode based on the DataNode address sequence. ^^^^C. The client
writes files to each DataNode based on the DataNode address sequence, and
then the DataNodes divide files into multiple blocks.
^^^^D. The client only uploads data to one DataNode, and the NameNode copies
blocks.
1.
block1 = 0 192.168.0.1=ip1 block2 = 2
192.168.0.2=ip2 block3 = 2
192.168.0.3=ip3
2. array
address_list = [ip1,ip2,ip3]
Q8
In HDFS, the NameNode manages metadata, and the client reads metadata from the
metadata disk of the NameNode every time when the client sends a read request
to obtain the location information about the file that is being read in the
DataNode.
NameNode memory
Q9
Which of the following statements are correct about HDFS Federation? ACD
^^^^A. A namespace uses a block pool to manage data blocks.
^^^^B. A namespace uses multiple block pools to manage data blocks. ^^^^C. The
disk space of each block pool is physically shared, but the logical space is
isolated.
^^^^D. The NameNode and namespace can be scaled-out.
Q10
When the Client writes files to HDFS, the NameNode determines the location
where the first replica is written to, and the DataNode determines the location
where other replicas are written to. F
Q11
Which of the following statements is correct about the HDFS DataNode in
FusionInsight HD? B
^^^^A. Data validity is not checked.
^^^^B. The DataNode periodically sends its block information to the
NameNode.
^^^^C. Blocks stored on different DataNodes must be different.
^^^^D. Blocks on a DataNode can be the same.
Q12
which of the following commands is used to check the integrity of data
blocks in HDFS. A
^^^^A. hdfs fsck /
^^^^B. hdfs fsck / -delete
^^^^C. hdfs dfsadmin -report
^^^^D. hdfs balancer -threshold 1
Q13
Which is the default block size of HDFS in FusionInsight HD? C
^^^^A. 32 MB
^^^^B. 64 MB
^^^^C. 128 MB
^^^^D. 256 MB
Q14
How many copies of a block are stored in HDFS of FusionInsight HD by default?
A
^^^^A. Three copies
^^^^B. Two copies
^^^^C. One copy
^^^^D. Uncertain
Q15
MapReduce
Which one is not a feature of MapReduce in Hadoop? C
^^^^A. Easy to program
^^^^B. Outstanding scalability
^^^^C. Real-time computing
^^^D. High fault tolerance
Q16
Which of the following computing tasks is MapReduce good at dealing with?
B
^^^^A. Iterative computing
^^^^B. Offline computing
^^^^C. Real-time interactive computing
^^^^D. Stream computing
Q17
YARN manages cluster resources based on Resource Manager. Which of the
following are main functions of YARN? AB
^^^^A. Cluster resource scheduling
^^^^B. Application program management
^^^^C. Log management -- node manager
^^^^D. None of the above
Q18
Which is the encapsulation of the YARN resources in Hadoop? C
^^^^A. Memory
^^^^B. CPU
^^^^C. Container
^^^^D. Disk space
Q19
Which resources can be managed by YARN in Hadoop? AB
^^^^A. Memory
^^^^B. CPU
^^^^C. Network
^^^^D. Disk space
Q20
In Hadoop, you can set the yarn.app.mapreduce.am.resource.mb parameter to
configure the memory size allocated to a container by YARN. F - AM'S
Memory
Q21
Which of the following is the correct sequence of the resource allocation
initiated by the YARN scheduler? C
^^^^A. Any host > Same rack > Local resources
^^^^B. Any host > Local resources > Same rack
^^^^C. Local resources > Same rack > Any host
^^^^D. Same rack > Any host > Local resources
Q22
If the number of replicas in HDFS is set as 3, file segments to be processed
must be transferred from hosts with three replicas every time when a task is
running. F
Q23
Which are the main features of the YARN scheduler? ABCD
^^^^A. Capacity assurance
^^^^B. Flexibility
^^^^C. Multi-leasing
^^^^D. Dynamic update of configuration files -- FusionInsight Manager
Q24
Which parameter should you configure to set the capacity of QueueA in
YARN to 30%? C
^^^^A. yarn.scheduler.capacity.root.QueueA.user-limit-factor
^^^^B. yarn.scheduler.capacity.root.QueueA.minimum-user-limit-percent
^^^^C. yarn.scheduler.capacity.root.QueueA.capacity
^^^^D. yarn.scheduler.capacity.root.QueueA.state
Q25
If a YARN cluster has sub-queues Default, QueueA, and QueueB, the capacity of
the sub-queues can be set to 60%, 25%, and 22%, respectively. F sub-queues +
QA+QB = 100%
60%+25%+22% = 97%
Q26
Which statement is incorrect if you set
yarn.scheduler.capacity.root.QueueA.minimum-user-limit-percent to 50 in
YARN? B
^^^^A. When a user submits a task, the user can use 100% of QueueA resources.
^^^^B. Each user of QueueA can obtain a maximum of 50% of QueueA resources.
^^^^C. If tasks of two users of QueueA are running, tasks of the third user
can be executed only after the resources are released. ^^^^D. Each user of
QueueA obtains 50% of resources at least.
Q27
Which command is used to view information about an application of YARN in
Hadoop? D
^^^^A. container
^^^^B. application -attempt
^^^^C. jar
^^^^D. application
Q28
Which parameter should you configure to enable the YARN log aggregation
function in Hadoop? D
^^^^A. yarn.nodemanager.local-dirs
^^^^B. yarn.nodemanager.log-dirs
^^^^C. yarn.acl.enable
^^^^D. yarn.log-aggregation-enable
Q29
Spark
Both Spark and Hadoop are not applicable to iterative computing. F
Q30
In which programming language is Spark developed? D
^^^^A. C
^^^^B. C++
^^^^C. JAVA
^^^^D. Scala - 30000 lines
Q31
Which functions are provided by Spark? AD
^^^^A. Distributed memory computing engine
^^^^B. Distributed file system -hdfs
^^^^C. Distributed data warehouse -hive
^^^^D. Stream data processing
Q32
Resilient Distributed Datasets (RDDs) are generated in file systems compatible
with Hadoop, and then the generated RDDs can be partially upgraded by invoking
RDD operators. F -- read only
Which is not the transformation operation in Spark? D
^^^^A. join
^^^^B. distinct
^^^^C. reduceByKey
^^^^D. reduce
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