Exam AWS Certified Machine Learning - Specialty All Questions

View all questions & answers for the AWS Certified Machine Learning - Specialty exam

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

Exam question from Amazon's AWS Certified Machine Learning - Specialty

Question #: 37
Topic #: 1

[All AWS Certified Machine Learning - Specialty Questions]

A Machine Learning Specialist working for an online fashion company wants to build a data ingestion solution for the company's Amazon S3-based data lake.
The Specialist wants to create a set of ingestion mechanisms that will enable future capabilities comprised of:
✑ Real-time analytics
✑ Interactive analytics of historical data
✑ Clickstream analytics
✑ Product recommendations
Which services should the Specialist use?

A. AWS Glue as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for real-time data insights; Amazon Kinesis Data Firehose for delivery to Amazon ES for clickstream analytics; Amazon EMR to generate personalized product recommendations
B. Amazon Athena as the data catalog: Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for near-real-time data insights; Amazon Kinesis Data Firehose for clickstream analytics; AWS Glue to generate personalized product recommendations
C. AWS Glue as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for historical data insights; Amazon Kinesis Data Firehose for delivery to Amazon ES for clickstream analytics; Amazon EMR to generate personalized product recommendations
D. Amazon Athena as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for historical data insights; Amazon DynamoDB streams for clickstream analytics; AWS Glue to generate personalized product recommendations

Show Suggested Answer

Suggested Answer: A 🗳️

by rsimham at Dec. 9, 2019, 9:19 p.m.

Disclaimers:

- ExamTopics website is not related to, affiliated with, endorsed or authorized by Amazon.
- Trademarks, certification & product names are used for reference only and belong to Amazon.

Comments

Submit Cancel

rsimham

Highly Voted 2 years, 9 months ago

Ans: A seems to be reasonable

upvoted 38 times

...

cybe001

Highly Voted 2 years, 9 months ago

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

upvoted 13 times

ZSun

1 year, 2 months ago

AWS Glue as data catalog, then you can analyze historical data, such as running sql with Athena.

upvoted 1 times

...

planhanasan

2 years, 7 months ago

Once you insert real-time data to ES, you can see historical data from Kibana dashboard.

upvoted 1 times

...

eji

2 years, 8 months ago

but C is missing for "real-time analythics"

upvoted 1 times

eji

2 years, 8 months ago

and also C is saying historical data analytics for Kinesis Data analytics which is real-time analytics not historical, so the answer might not C but the answer is A

upvoted 1 times

...

loict

Most Recent 9 months, 3 weeks ago

Selected Answer: A

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

upvoted 3 times

...

kaike_reis

11 months ago

Selected Answer: A

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.

upvoted 2 times

...

Valcilio

1 year, 3 months ago

Selected Answer: A

All are bad options, but A can do it.

upvoted 2 times

...

hug_c0sm0s

1 year, 4 months ago

Selected Answer: A

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.

upvoted 2 times

...

gamaX

2 years, 8 months ago

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

upvoted 2 times

...

harmanbirstudy

2 years, 8 months ago

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

upvoted 5 times

...

ybad

2 years, 8 months ago

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?

upvoted 2 times

...