Exam AWS Certified Machine Learning - Specialty topic 1 question 37 discussion

Ans: A seems to be reasonable

A looks correct but it is missing for "Interactive analytics of historical data"

A. YES - Amazon Kinesis Data Analytics is for real-time data insights B. NO - Amazon Athena has no data catalog C. NO - Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics is not for historical data insights D. NO - Amazon Athena has no data catalog

Athena can not be used for data catalog, so B and D are wrong. A and C are equals, but it's well known that Kinesis DS and Analytics are used together for real time solutions, which is mentioned in the question / answer, but lack on C.

All are bad options, but A can do it.

AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to move data between data stores. It can be used as a data catalog to store metadata information about the data in the data lake. Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics can be used together to collect, process, and analyze real-time streaming data. Amazon Kinesis Data Firehose can be used to deliver streaming data to destinations such as Amazon ES for clickstream analytics. Finally, Amazon EMR can be used to run big data frameworks such as Apache Spark and Apache Hadoop to generate personalized product recommendations.

A or C https://aws.amazon.com/blogs/big-data/retaining-data-streams-up-to-one-year-with-amazon-kinesis-data-streams/

Athena can do Interactive analytics on Historical data, but here its only use is "Athena as the data catalog" and this is the work of Glue data catalog using its crawlers, so it cannot be B or D. --So its either A or C -- Now Kinesis data Streams/Analytics is know for real time data analytics but if it is reading from data already stored in S3 using DMS then we can say it is getting historical data. -- Here I am not very clear if Kinesis part will happen on incoming data before S3 or After data persists to S3 and Kinesis reads it through S3-->DMS--Kinesis data stream -- Kinesis analytics-->Firehose. But still insights are always on real-time/current data based on historical data trends , so the statement in C "Analytics for historical data insights" is in-correct in general . Hence ANSWER is :A

A is correct, for those asking the difference between A and D, D talks about using kinesis stream and data analytics to create historical analysis.... waste of money no?

Answer = A

A it is

it's A, ES can perform clickstream analytics and EMR can handle spark job recomendation at scale

Only C and D mention interactive analytics of historical data. Glue won't provide personalised recommendation so it is C

What is the difference between the solution in A or C ????

Looks like C Amazon ES has KIbana which supports click stream