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H13-711_V3.0
HCIA-Big Data V3.0 Questions and Answers

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Viewing questions 76-90 out of questions

Questions # 76:

Which of the following scenarios does Hive not apply to?

Options:

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

data mining. Such as user behavior analysis, interest analysis, regional display

Data summary. such as clicks per user per day,Click to rank

Real-time online data analysis

Answer

Questions # 77:

Which two roles are responsible for the active and standby status management of HDFS NameNode nodes and the merging of metadata files?

Options:

ZKFC and standby NameNode

Primary NameNode and Standby NameNode

ZKFC and the main NameNode

Primary NameNode and JournalNode

Answer

Questions # 78:

In Hive, which of the following statements about partitions is incorrect

Options:

There can be further partitions or buckets under the partition

The data table can be partitioned by the value of a field

Each partition is a directory

The number of partitions is fixed

Answer

Questions # 79:

When planning and deploying a Fusionlnsight cluster, it is recommended that the management node be best deployed( ), the control node needs to be deployed at least( )Piece,Data nodes need to be deployed at least( )Piece.

Options:

1.2, 2

1, 3, 2

2, 3, 1

2, 3, 3

Answer

Questions # 80:

Which statement about the DataNodel of HDFS in Huawei Fusioninsight HD system is correct?

Options:

Does not check the validity of the data

Periodically send the block-related information of this node to the NameNode

Blocks stored in different DataNodes must be different

Blocks on a DataNode. can be the same

Answer

Questions # 81:

Which of the following is not a characteristic of the MapReduce component in Hadoopl?

Options:

easy to program

good scalability

real-time computing

High fault tolerance

Answer

Questions # 82:

Which description about HIVE is incorrect?

Options:

The best use case for Hive is batch jobs with large datasets

Hive can realize low-latency and fast query on large-scale data sets

Hive is built on top of Hadoop based on static batch processing, Hadoop usually has high latency andC. A lot of overhead is required for committing and scheduling

The Hive query operation process strictly follows the function execution model of Hadoop MapReduce. Hive converts the user's HiveQL statement into Map through the interpreter Reduce on Hadoop cluster

Answer

Questions # 83:

When the Loader of MRS creates a job, what is the role of the connector?

Options:

Configure how jobs connect to external data sources

Configure how jobs connect to internal data sources

Provide optimization parameters to improve data import and export performance

Make sure there are conversion steps

Answer

Questions # 84:

Which of the following is not a role or service involved in the process of reading data in HBasei?

Options:

HDFS

Zookeeper

HMaster

HRegionServer

Answer

Questions # 85:

F1ink in( )interface for streaming data processing,( )interface for batch processing?

Options:

Datastream API, DataSet API

Data batch API.DataStream API

Stream API.Batch API

Batch API, Stream API

Answer

Questions # 86:

What is the file format of data storage in HBase?

Options:

HFile

HLog

TextFile

SequenceFile

Answer

Questions # 87:

In Hadoop, if yarn.scheduler.capacity.root.QueueA. minimum-user-limit-percenti is set to 50, which of the following statements is wrong?

Options:

A user-submitted task can use 100% of QueueA's resources

Each user in QueueA can only get up to 50% of the resources

If there are already 2 user tasks running in QueueA, then the task submitted by the third user needs to wait for the release of resources

QueueA must ensure that each user gets at least 50% of the resources

Answer

Questions # 88:

Regarding the basic operation of Hive table building, which is the correct description?

Options:

When creating an external table, you need to specify the external keyword

Once the table is created, the table name cannot be changed

Once the table is created, the column names cannot be changed

Once the table is created, no new columns can be added

Answer

Questions # 89:

The Fusioninsight HD cluster planned by a bank has 90 nodes. If three control nodes are planned, it is recommended to plan only one data node in the cluster.

Options:

Answer

Questions # 90:

In many small file scenarios, Spark will start many tasks. When there is a Shuffle operation in the SQL logic, the number of hash buckets will be greatly increased, which will seriously affect the performance. In Fusioninsight, scenarios for small files usually use the( )Operator to merge partitioni generated by small files in Tabler, reduce the number of partitions, avoid generating too many hash buckets during shuffle, and improve performance?