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Amazon CLF-C02 Exam - Topic 4 Question 60 Discussion

A company wants a time-series database service that makes it easier to store and analyze trillions of events each day.Which AWS service will meet this requirement?
B) Amazon Timestream
A) Amazon Neptune
C) Amazon Forecast
D) Amazon DocumentDB (with MongoDB compatibility)

Amazon CLF-C02 Exam - Topic 4 Question 60 Discussion

Actual exam question for Amazon's CLF-C02 exam
Question #: 60
Topic #: 4
[All CLF-C02 Questions]

A company wants a time-series database service that makes it easier to store and analyze trillions of events each day.

Which AWS service will meet this requirement?

Show Suggested Answer Hide Answer
Suggested Answer: B

Amazon Timestream is a fast, scalable, and serverless time-series database service for IoT and other operational applications that makes it easy to store and analyze trillions of events per day up to 1,000 times faster and at as little as 1/10th thecost of relational databases1.Amazon Timestream saves you time and cost in managing the lifecycle of time series data, and its purpose-built query engine lets you access and analyze recent and historical data together with a single query1.Amazon Timestream has built-in time series analytics functions, helping you identify trends and patterns in near real time1.

The other options are not suitable for storing and analyzing trillions of events per day. Amazon Neptune is a graph database service that supports highly connected data sets. Amazon Forecast is a machine learning service that generates accurate forecasts based on historical data. Amazon DocumentDB (with MongoDB compatibility) is a document database service that supports MongoDB workloads.

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1: Time Series Database -- Amazon Timestream -- Amazon Web Services


Contribute your Thoughts:

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Ty
21 days ago
I was torn between B and C, but Timestream is more focused on time-series.
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Elli
26 days ago
Agreed! Timestream is perfect for handling trillions of events.
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Lucina
1 month ago
I think it's B) Amazon Timestream. It's designed for time-series data.
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Tien
1 month ago
I’m not so sure about Timestream. Can it really handle that much data?
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Venita
1 month ago
B is the right choice, no doubt! It handles trillions of events well.
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Allene
2 months ago
Wait, is Timestream really the best option? I thought Forecast was for predictions.
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Gearldine
2 months ago
I thought it was A) Amazon Neptune at first, but Timestream makes more sense.
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Berry
2 months ago
Definitely B) Amazon Timestream! It's built for time-series data.
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Sharen
2 months ago
I feel like Amazon Forecast is more about predictions rather than storing events, so I’m leaning towards Timestream for this one.
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Olga
2 months ago
I’m a bit confused because I thought Amazon Neptune was for graph databases. Does it have any time-series capabilities?
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Mauricio
2 months ago
I remember practicing a question about AWS services for analytics, and Timestream was mentioned as a good fit for handling large volumes of time-series data.
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Artie
3 months ago
I think the answer might be Amazon Timestream since it’s designed specifically for time-series data, but I’m not completely sure.
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