Topic 1 Question 239
A company is developing a gene reporting device that will collect genomic information to assist researchers with collecting large samples of data from a diverse population. The device will push 8 KB of genomic data every second to a data platform that will need to process and analyze the data and provide information back to researchers. The data platform must meet the following requirements:
• Provide near-real-time analytics of the inbound genomic data • Ensure the data is flexible, parallel, and durable • Deliver results of processing to a data warehouse
Which strategy should a solutions architect use to meet these requirements?
Use Amazon Kinesis Data Firehose to collect the inbound sensor data, analyze the data with Kinesis clients, and save the results to an Amazon RDS instance.
Use Amazon Kinesis Data Streams to collect the inbound sensor data, analyze the data with Kinesis clients, and save the results to an Amazon Redshift cluster using Amazon EMR.
Use Amazon S3 to collect the inbound device data, analyze the data from Amazon SQS with Kinesis, and save the results to an Amazon Redshift cluster.
Use an Amazon API Gateway to put requests into an Amazon SQS queue, analyze the data with an AWS Lambda function, and save the results to an Amazon Redshift cluster using Amazon EMR.
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コメント(8)
- 正解だと思う選択肢: B
B is correct B - Kinesis Data Streams is a real-time streaming service and provide near-real-time analytics. Also the question "Deliver results of processing to a data warehouse" and this option has redshift cluster which is a powerful data warehousing solution that can handle large-scale analytics workloads.
A - incorrect because Kinesis Data Firehose is NOT ideal for near-real-time analytics and may introduce some latency in the data processing pipeline. Additionally, saving the results to an Amazon RDS instance may not provide the scalability and flexibility required for processing and analyzing large volumes of genomic data.
👍 4bhanus2023/06/21 - 正解だと思う選択肢: B
B. Real-time is either firehose (A) or streams (B). But they require a data warehouse and that's RedShift not RDS.
👍 3SmileyCloud2023/06/26 Answer B is the right one
👍 2MoussaNoussa2023/06/22
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