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.
HHis planning to use Kinesis Analytics to build SQL capabilities on streaming data. What kind of queries is supported in Kinesis Analytics? Select 2 options.

Answer options:

A.Continuous Queries, Queries over a stream executes continuously over streaming data generally supports continuously query a stream and generate alerts.
B.Windowed Queries, Queries over a stream executes continuously over streaming data generally supports continuously query a stream and generate alerts
C.Continuous Queries, SQL queries in your application code execute continuously over in- application streams which represents unbounded data that flows continuously through your application. Stagger, Tumbling and Sliding are some of the types
D.Windowed Queries, SQL queries in your application code execute continuously over in- application streams which represents unbounded data that flows continuously through your application. Stagger, Tumbling and Sliding are some of the types

Answer: A,D
Option A is correct - Continuous Query is a query over a stream executes continuously over streaming data. This continuous execution enables scenarios, such as the ability for applications to continuously query a stream and generate alerts.
https://docs.aws.amazon.com/kinesisanalytics/latest/dev/continuous-queries- concepts.html
Option B is incorrect - SQL queries in your application code execute continuously over in-applicationstreams. An in-application stream represents unbounded data that flows continuously through your application. Therefore, to get result sets from this continuously updating input, you often bound queries using a window defined in terms of time or rows. These are also called windowed SQL. You have stagger windows, Tumbling windows and Sliding windows query sub types.
https://docs.aws.amazon.com/kinesisanalytics/latest/dev/windowed-sql.html
Option C is incorrect -Continuous Query is a query over a stream executes continuously over streaming data. This continuous execution enables scenarios, such as the ability for applications to continuously query a stream and generate alerts.
https://docs.aws.amazon.com/kinesisanalytics/latest/dev/continuous-queries- concepts.html
Option D is correct -SQL queries in your application code execute continuously over in-applicationstreams. An in-application stream represents unbounded data that flows continuously through your application. Therefore, to get result sets from this continuously updating input, you often bound queries using a window defined in terms of time or rows. These are also called windowed SQL. You have stagger windows, Tumbling windows and Sliding windows query sub types.
https://docs.aws.amazon.com/kinesisanalytics/latest/dev/windowed-sql.html