aws-certified-data-analytics-specialty-das-c01 question 151 discussion

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Question 151

A mobile gaming company wants to capture data from its gaming app and make the data available for analysis immediately.
The data record size will be approximately 20 KB. The company is concerned about achieving optimal throughput from each
device. Additionally, the company wants to develop a data stream processing application with dedicated throughput for each
consumer.
Which solution would achieve this goal?

  • A. Have the app call the PutRecords API to send data to Amazon Kinesis Data Streams. Use the enhanced fan-out feature while consuming the data.
  • B. Have the app call the PutRecordBatch API to send data to Amazon Kinesis Data Firehose. Submit a support case to enable dedicated throughput on the account.
  • C. Have the app use Amazon Kinesis Producer Library (KPL) to send data to Kinesis Data Firehose. Use the enhanced fan- out feature while consuming the data.
  • D. Have the app call the PutRecords API to send data to Amazon Kinesis Data Streams. Host the stream-processing application on Amazon EC2 with Auto Scaling.
Answer:

D

User Votes:
A
50%
B
50%
C
50%
D
50%
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krishna1234
5 months, 4 weeks ago

A company analyzes its data in an Amazon Redshift data warehouse, which currently has a cluster of three dense storage nodes. Due to a recent business acquisition, the company needs to load an additional 4 TB of user data into Amazon Redshift. The engineering team will combine all the user data and apply complex calculations that require I/O intensive resources. The company needs to adjust the cluster's capacity to support the change in analytical and storage requirements. Which solution meets these requirements?

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