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AWS Certified Big Data Specialty (Expired on July 1, 2020) Exam Questions

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AWS Certified Big Data Specialty (Expired on July 1, 2020)

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Question 190:

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 multiple java based web applications and other web framework 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 kinesis data streams (KDS) to collect events and transaction logs and process the stream. Multiple departments from HH use different streams to address real-time integration and induce analytics into their applications and uses
Kinesis as the backbone of real-time data integration across the enterprise.
HHunderstand that Monitoring plays a major role in monitoring and managing the streaming platform. HH using kinesis agent to process events and uses consumer library KCL o collect and disseminate streams. What kind of monitoring is enabled by KCL Library? select 3 options.

Answer options:

A.Metrics configured for streams are automatically collected and pushed to CloudWatch every minute
B.Per-KCL-Application Metrics, The metrics that are aggregated across all KCL workers within the scope of the application, as defined by the Amazon CloudWatch namespace.
C.Per-Worker Metrics, These metrics are aggregated across all record processors consuming data from a Kinesis data stream, such as an Amazon EC2 instance.
D.The KCL publishes Bytes sent, number of records attempted, number of records that returned failure and the number of calls to PutRecords that resulted in a service error
E.Per-Shard Metrics, The metrics are aggregated across a single record processor.