Supported Downstream Applications
Question
HikeHills.com (HH) is an online specialty retailer that sells clothing and outdoor refreshment gear for trekking, go camping, boulevard biking, mountain biking, rock hiking, ice mountaineering, skiing, avalanche protection, snowboarding, fly fishing, kayaking, rafting, road and trace running, and many more. HHruns their entire online infrastructure on java based web applications running on AWS.
The HH is capturing click stream data and use custom-build recommendation engine to recommend products which eventually improve sales, understand customer preferences and already using AWS Streaming capabilities to collect events and transaction logs and process the stream. HHprefers to use Kinesis Analytics to process streams using SQL queries and then send the feeds to downstream applications.
What kind of downstream applications are supported? select 3 options.
Answers
Explanations
Click on the arrows to vote for the correct answer
A. B. C. D. E. F.Answer: A,B,C.
Kinesis Data Analytics supports Amazon Kinesis Data Firehose (Amazon S3, Amazon Redshift, and Amazon Elasticsearch Service), AWS Lambda, and Amazon Kinesis Data Streams as destinations.
https://docs.aws.amazon.com/kinesisanalytics/latest/dev/what-is.htmlHikeHills.com (HH) is an online retailer that sells outdoor gear and collects clickstream data to understand customer preferences and recommend products using a custom-built recommendation engine. They are using AWS Streaming capabilities to collect events and transaction logs and process the stream, and they prefer to use Kinesis Analytics to process streams using SQL queries.
Kinesis Analytics is a service that enables you to analyze data streams in real-time using SQL queries. It can help you uncover patterns and insights in your data, and you can use the results to make better decisions or take action. Once you have analyzed the data, you may want to send it to downstream applications for further processing.
The following are the downstream applications that are supported by Kinesis Analytics:
A. Allow AWS Lambda to access the data feed directly AWS Lambda is a compute service that enables you to run code without provisioning or managing servers. You can use it to process data from Kinesis Analytics in real-time. By allowing AWS Lambda to access the data feed directly, you can perform additional data processing, such as filtering or transformation, before sending it to another service.
B. Send data feed to Amazon Kinesis Data Streams directly Amazon Kinesis Data Streams is a service that enables you to collect, process, and analyze real-time streaming data. By sending the data feed from Kinesis Analytics to Kinesis Data Streams, you can process it further or store it for later analysis.
C. Send data feed to Amazon Kinesis Firehose directly Amazon Kinesis Firehose is a service that enables you to load streaming data into AWS data stores, such as Amazon S3, Amazon Redshift, or Amazon Elasticsearch. By sending the data feed from Kinesis Analytics to Kinesis Firehose, you can store it in a durable and scalable way, without having to write any additional code.
D. Send data feed to Amazon Redshift directly Amazon Redshift is a fast, fully managed data warehouse that enables you to store and analyze large amounts of structured data. By sending the data feed from Kinesis Analytics to Amazon Redshift, you can use it to build reports and dashboards, or perform ad-hoc queries to gain insights into your data.
E. Send data feed to Amazon Elasticsearch directly Amazon Elasticsearch is a search and analytics engine that enables you to analyze and visualize data in real-time. By sending the data feed from Kinesis Analytics to Amazon Elasticsearch, you can use it to build real-time dashboards, perform text-based searches, or analyze log data.
F. Send data feed to AWS S3 directly Amazon S3 is an object storage service that enables you to store and retrieve any amount of data from anywhere. By sending the data feed from Kinesis Analytics to AWS S3, you can store it in a durable and scalable way, and use it for further analysis or backup purposes.
In summary, the downstream applications that are supported by Kinesis Analytics are AWS Lambda, Amazon Kinesis Data Streams, Amazon Kinesis Firehose, Amazon Redshift, Amazon Elasticsearch, and AWS S3. HH can choose the most appropriate downstream application based on their specific needs and use case.
