Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions

Amazon Exam DVA-C02 Topic 7 Question 27 Discussion

Actual exam question for Amazon's DVA-C02 exam
Question #: 27
Topic #: 7
[All DVA-C02 Questions]

A company has installed smart motes in all Its customer locations. The smart meter's measure power usage at 1minute intervals and send the usage readings to a remote endpoint tot collection. The company needs to create an endpoint that will receive the smart meter readings and store the readings in a database. The company wants to store the location ID and timestamp information.

The company wants to give Is customers low-latency access to their current usage and historical usage on demand The company expects demand to increase significantly. The solution must not impact performance or include downtime write seeing.

When solution will meet these requirements MOST cost-effectively?

Show Suggested Answer Hide Answer
Suggested Answer: D

AWS STS AssumeRole:The central operation for assuming temporary security credentials, commonly used for cross-account access.

MFA Integration:TheAssumeRolecall can include MFA information to enforce multi-factor authentication.

Credentials for S3 Access:The returned temporary credentials would provide the necessary permissions to access the S3 bucket in the other account.


AWS STS AssumeRole Documentation:https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRole.html

Contribute your Thoughts:

Jose
14 days ago
I'm leaning towards option B as well. DynamoDB seems like the most straightforward and scalable solution for this use case. Although, I wonder if they'll have to deal with any 'smart mote' puns from their customers.
upvoted 0 times
...
Clarinda
16 days ago
Haha, storing the data in Amazon S3 and using Athena to filter it? That's like trying to find a needle in a haystack with a toothpick!
upvoted 0 times
Virgina
2 days ago
A) Store the smart meter readings in an Amazon RDS database. Create an index on the location ID and timestamp columns Use the columns to filter on the customers 'data.
upvoted 0 times
...
...
Rebbecca
20 days ago
Option C with Amazon ElastiCache for Redis looks interesting, but I'm not sure if the Sorted set key approach will be as efficient as the composite key in DynamoDB for filtering the customer data.
upvoted 0 times
...
Margart
21 days ago
I think option B is the most cost-effective solution. DynamoDB provides low-latency access and can handle the expected increase in demand without impacting performance or causing downtime during writes.
upvoted 0 times
...
Kattie
2 months ago
That's a good point, but I still think using Amazon RDS with an index would be more efficient.
upvoted 0 times
...
Enola
2 months ago
I disagree, I believe option B is better because DynamoDB can handle high traffic without downtime.
upvoted 0 times
...
Kattie
2 months ago
I think option A is the most cost-effective solution.
upvoted 0 times
...

Save Cancel