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Amazon Exam BDS-C00 Topic 6 Question 98 Discussion

Actual exam question for Amazon's BDS-C00 exam
Question #: 98
Topic #: 6
[All BDS-C00 Questions]

A social media customer has data from different data sources including RDS running MySQL, RedShift, and Hive on EMR. To support better analysis, the customer needs to be able to analyze data from different data sources and to combine the results.

What is the most cost-effective solution to meet these requirements?

Show Suggested Answer Hide Answer
Suggested Answer: C

Contribute your Thoughts:

Isadora
4 days ago
Ooh, option C sounds interesting! Elasticsearch and Kibana could give us some really slick data visualization capabilities. But I'm not sure if it's the most cost-effective solution, especially with the need to set up a whole new cluster.
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Cherry
10 days ago
I'm leaning towards option D. Sure, it might require a bit more work, but having a dedicated program to query the different systems and aggregate the results could give us more control and flexibility. Plus, it's always fun to write your own code, am I right?
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Sommer
11 days ago
Hmm, I think option B is the way to go. Presto can query across different data sources without the need for data movement. Plus, it's probably the most cost-effective solution since we don't have to spin up any additional resources like EC2 or Elasticsearch.
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Huey
12 days ago
I personally think option C could be a good solution. Setting up an Elasticsearch cluster and using Kibana for analysis might provide a more flexible approach.
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Markus
26 days ago
I disagree, I believe option A is more cost-effective. Loading data to S3 and using Redshift COPY command for analysis seems simpler and efficient.
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Ivette
27 days ago
I think option B is the best solution. Installing Presto on the EMR cluster seems like a cost-effective way to analyze data from different sources.
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