exam questions

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 132 discussion

A company needs to quickly make sense of a large amount of data and gain insight from it. The data is in different formats, the schemas change frequently, and new data sources are added regularly. The company wants to use AWS services to explore multiple data sources, suggest schemas, and enrich and transform the data. The solution should require the least possible coding effort for the data flows and the least possible infrastructure management.
Which combination of AWS services will meet these requirements?
A.
✑ Amazon EMR for data discovery, enrichment, and transformation
✑ Amazon Athena for querying and analyzing the results in Amazon S3 using standard SQL
✑ Amazon QuickSight for reporting and getting insights
B.
✑ Amazon Kinesis Data Analytics for data ingestion
✑ Amazon EMR for data discovery, enrichment, and transformation
✑ Amazon Redshift for querying and analyzing the results in Amazon S3
C.
✑ AWS Glue for data discovery, enrichment, and transformation
✑ Amazon Athena for querying and analyzing the results in Amazon S3 using standard SQL
✑ Amazon QuickSight for reporting and getting insights
D.
✑ AWS Data Pipeline for data transfer
✑ AWS Step Functions for orchestrating AWS Lambda jobs for data discovery, enrichment, and transformation
✑ Amazon Athena for querying and analyzing the results in Amazon S3 using standard SQL
✑ Amazon QuickSight for reporting and getting insights

Show Suggested Answer Hide Answer
Suggested Answer: A

Comments

Chosen Answer:
This is a voting comment (?). It is better to Upvote an existing comment if you don't have anything to add.
Switch to a voting comment New
knightknt
Highly Voted 3 years, 4 months ago
I would choose C.
upvoted 49 times
...
ovokpus
Highly Voted 3 years, 1 month ago
Answer here is C. Glue, Athena and Quicksight are serverless and need little code (only SQL)
upvoted 12 times
...
MultiCloudIronMan
Most Recent 10 months, 3 weeks ago
C is the right answer
upvoted 2 times
...
ArunRav
1 year, 2 months ago
Answer is C, all serverless
upvoted 2 times
...
Noname3562
1 year, 4 months ago
I woul choose C as well
upvoted 2 times
...
endeesa
1 year, 8 months ago
In the presence of AWS Glue, with a goal to minimise coding efforts. C is the correct answer
upvoted 1 times
...
u_b
1 year, 9 months ago
I also chose C. A has code/infra overhead of EMR. B is wrong b/c you dont query S3 with redshift D is overhead from orchestrating lambda jobs with step funcs
upvoted 3 times
...
qsergii
1 year, 9 months ago
AWS Glue CROWLER for data discovery
upvoted 1 times
...
Snape
1 year, 9 months ago
C is correct
upvoted 2 times
...
jopaca1216
1 year, 11 months ago
The correct is C
upvoted 1 times
...
Mickey321
1 year, 11 months ago
Why no voting option? It is option C
upvoted 4 times
...
kazivebtak
2 years ago
C is correct
upvoted 2 times
...
ADVIT
2 years, 1 month ago
I think it's C
upvoted 1 times
...
mixonfreddy
2 years, 2 months ago
Answer is C, all serverless
upvoted 1 times
...
Ahmedhadi_
2 years, 4 months ago
answer is c as data sources varies alot so requires glue crawler
upvoted 1 times
...
mite_gvg
2 years, 4 months ago
C Is correct, you use Glue for ingestion
upvoted 2 times
...
codehive
2 years, 4 months ago
Option C is the most suitable choice to meet the given requirements. AWS Glue is a fully managed extract, transform, and load (ETL) service that allows users to discover, enrich, and transform data easily, without the need for extensive coding. It supports different data sources, schema detection, and schema evolution, which makes it an ideal choice for the given scenario. Amazon Athena, a serverless interactive query service, allows users to run standard SQL queries against data stored in Amazon S3, which makes it easy to analyze the enriched and transformed data. Amazon QuickSight is a cloud-based business intelligence service that can connect to various data sources, including Amazon Athena, to create interactive dashboards and reports, which makes it a suitable choice for gaining insights from the data.
upvoted 1 times
codehive
2 years, 4 months ago
Option A is not an ideal choice because Amazon EMR is a heavy-weight service and requires more infrastructure management than AWS Glue.
upvoted 1 times
...
...
Community vote distribution
A (35%)
C (25%)
B (20%)
Other
Most Voted
A voting comment increases the vote count for the chosen answer by one.

Upvoting a comment with a selected answer will also increase the vote count towards that answer by one. So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.

SaveCancel
Loading ...