Huawei
H13-831_V2.0 · Question #2489
A city library currently uses a local Hadoop cluster for data analysis and plans to migrate it to Huawei Cloud's MapReduce service. The current volume of business data is large, but the timeliness…
The correct answer is A. Create a cluster on the MRS service, import local data into HDFS, create a Hive table on MRS, and. See the full explanation below for the reasoning.
Big Data, AI, and IoT Architecture Design
Question
A city library currently uses a local Hadoop cluster for data analysis and plans to migrate it to Huawei Cloud's MapReduce service. The current volume of business data is large, but the timeliness of business processing is not a high priority. Which of the following solutions is most recommended?
Options
- ACreate a cluster on the MRS service, import local data into HDFS, create a Hive table on MRS, and
- BImport local data into the OBS service and analyze and process the data in OBS using the Flume
- CCreate a cluster with the MRS service, import local data into HDFS, and use the MRS service to call
- DUse the CDM service to migrate local data directly to the data warehouse, create a cluster in the MRS
How the community answered
(36 responses)- A78% (28)
- B11% (4)
- C6% (2)
- D6% (2)
Topics
#MRS#Hadoop migration#HDFS#Hive
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