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Exam AWS Certified Solutions Architect - Associate SAA-C03 topic 1 question 107 discussion

Exam question from Amazon's AWS Certified Solutions Architect - Associate SAA-C03
Question #: 107
Topic #: 1
[All AWS Certified Solutions Architect - Associate SAA-C03 Questions]

A bicycle sharing company is developing a multi-tier architecture to track the location of its bicycles during peak operating hours. The company wants to use these data points in its existing analytics platform. A solutions architect must determine the most viable multi-tier option to support this architecture. The data points must be accessible from the REST API.
Which action meets these requirements for storing and retrieving location data?

  • A. Use Amazon Athena with Amazon S3.
  • B. Use Amazon API Gateway with AWS Lambda.
  • C. Use Amazon QuickSight with Amazon Redshift.
  • D. Use Amazon API Gateway with Amazon Kinesis Data Analytics.
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Suggested Answer: D 🗳️
by Stiffler1 at Oct. 12, 2022, 1:48 a.m.
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ArielSchivo
Highly Voted 2 years, 8 months ago
Selected Answer: B
API Gateway is needed to get the data so option A and C are out. “The company wants to use these data points in its existing analytics platform” so there is no need to add Kynesis. Option D is also out. This leaves us with option B as the correct one.
upvoted 105 times
Tsige
8 months, 3 weeks ago
While API Gateway and Lambda can work together for processing requests, this setup doesn't efficiently handle continuous real-time data streaming and analysis, which is required for tracking the bicycle locations. Lambda is stateless and is better suited for on-demand execution, not for real-time analytics of streaming data. So, the correct option is D
upvoted 10 times
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alfonso_ciampa
2 years ago
You are right, but it clearly say "store data". AWS Lambda don't store data, Kinesis could.
upvoted 11 times
FlyingHawk
5 months, 3 weeks ago
AWS Lambda provides a serverless way to process incoming requests and interact with a storage backend. This solution can store location data in a service like Amazon DynamoDB or Amazon S3 and use Lambda functions to retrieve and serve this data through the API Gateway. This is cost-effective, scalable, and straightforward for real-time queries.
upvoted 2 times
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MutiverseAgent
1 year, 12 months ago
B might work but D works better. B requieres API gateway + lambda for data input & output, whereas D is a broader solution, as Kinesis Data Analytics APIs can be used to extract and process data better that API Gateway + Lambdas. Also, Kinesis is highly recommended for telemetry data which is the question scenario. @See Kinesys flexible API (https://aws.amazon.com/documentation-overview/kinesis-data-analytics/)
upvoted 12 times
MutiverseAgent
1 year, 12 months ago
Also by using kinesis the analytics platform will have a storing buffer to take & process data through the kinesys API. The lambda aproach in the B scenario is to wide and leaves many loose ends.
upvoted 5 times
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bullrem
2 years, 5 months ago
AWS Lambda is a serverless compute service that can be used to run code in response to specific events, such as changes to data in an Amazon S3 bucket or updates to a DynamoDB table. It could be used to process the location data, but it doesn't provide storage solution. Therefore, it would not be the best option for storing and retrieving location data in this scenario.
upvoted 13 times
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Six_Fingered_Jose
Highly Voted 2 years, 8 months ago
Selected Answer: D
I dont understand why you will vote B? how are you going to store data with just lambda? > Which action meets these requirements for storing and retrieving location data In this use case there will obviously be a ton of data and you want to get real-time location data of the bicycles, and to analyze all these info kinesis is the one that makes most sense here.
upvoted 81 times
a070112
2 years, 6 months ago
Lambda isn't storing the data themselves. It's triggering the data store to the company's "existing data analytics platform"
upvoted 10 times
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kmliuy73
2 years, 6 months ago
Real-time analytics on Kinesis Data Streams & Firehose using SQL, not store db ...
upvoted 5 times
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Six_Fingered_Jose
2 years, 8 months ago
https://aws.amazon.com/blogs/aws/real-time-hotspot-detection-in-amazon-kinesis-analytics/
upvoted 5 times
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UWSFish
2 years, 8 months ago
I don't think you need to worry about storing data. The question states their is an existing platform.
upvoted 4 times
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TEC65
Most Recent 2 months, 3 weeks ago
Selected Answer: D
better for streaming data
upvoted 1 times
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Vivobook11
3 months, 1 week ago
Selected Answer: D
D. Use Amazon API Gateway with Amazon Kinesis Data Analytics. Why? Real-time Data Processing: Amazon Kinesis Data Analytics can process streaming data (e.g., bicycle locations) in real-time. REST API Access: Amazon API Gateway can provide a secure REST API for accessing the processed data. Scalability & Performance: Kinesis efficiently ingests large volumes of data during peak hours. Integration with Analytics: The processed data can be stored in Amazon S3, DynamoDB, or Redshift for further analytics.
upvoted 2 times
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Faraz999
3 months, 1 week ago
Selected Answer: B
API Gateway is needed to get the data so option A and C are out. “The company wants to use these data points in its existing analytics platform” so there is no need to add Kynesis. Option D is also out. This leaves us with option B as the correct one.
upvoted 1 times
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CloudExpert01
3 months, 1 week ago
Selected Answer: B
when choosing between B and D: "The company wants to use these data points in its existing analytics platform." so need for Lambda to integrate data points in its existing analytics platform
upvoted 1 times
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Faraz999
3 months, 2 weeks ago
Selected Answer: B
API Gateway is needed to get the data so option A and C are out. “The company wants to use these data points in its existing analytics platform” so there is no need to add Kynesis. Option D is also out. This leaves us with option B as the correct one.
upvoted 1 times
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Faraz999
3 months, 2 weeks ago
Selected Answer: B
API Gateway is needed to get the data so option A and C are out. “The company wants to use these data points in its existing analytics platform” so there is no need to add Kynesis. Option D is also out. This leaves us with option B as the correct one.
upvoted 1 times
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Saloniip
4 months, 3 weeks ago
Selected Answer: B
lambda can store data in db which is not mentioned but can be implemented, wherein kinesis data analytics would be more complex to implement just for simple location tracking. Also, a data analytics tool is already there. Hence, B is more suitable.
upvoted 1 times
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tch
5 months ago
Selected Answer: D
Amazon Kinesis Data Analytics allows you to build more complex analytics applications that support flexible processing choices and robust fault-tolerance with exactly-once processing without duplicates, and analytics that can be performed over an entire data stream across multiple logical partitions. With KDA, you can analyze data over multiple types of aggregation windows (tumbling window, stagger window, sliding window, session window) using either the event time or the processing tim
upvoted 1 times
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zdi561
5 months, 1 week ago
Selected Answer: D
Lambda is not most viable, or real time
upvoted 1 times
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FlyingHawk
5 months, 3 weeks ago
Selected Answer: B
Given that the company already has an existing analytics platform and needs a solution for storing and retrieving location data that can be accessed through a REST API, the best choice is: B. Use Amazon API Gateway with AWS Lambda
upvoted 3 times
FlyingHawk
5 months, 3 weeks ago
D. Amazon API Gateway with Amazon Kinesis Data Analytics: Kinesis Data Analytics is for continuous real-time stream processing. If the requirement focuses only on storing and retrieving (not streaming) data, this adds unnecessary complexity.
upvoted 1 times
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FlyingHawk
5 months, 3 weeks ago
Selected Answer: D
Kinesis is specifically designed for telemetry data, making it a better fit for tracking bicycle locations.
upvoted 3 times
FlyingHawk
5 months, 3 weeks ago
I changed my mind to B now as there is existing analytic platform already, the data will be stored in the existing analytic platform, so you can use Lambda to process and store data in the existing analytic platform.
upvoted 1 times
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Rcosmos
5 months, 4 weeks ago
Selected Answer: D
B. Amazon API Gateway com AWS Lambda: Essa combinação é útil para fornecer APIs REST, mas o Lambda não é otimizado para ingestão contínua de dados de localização em tempo real. Ele seria mais adequado para processos eventuais ou tarefas específicas.
upvoted 2 times
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hashepsut
6 months, 1 week ago
Selected Answer: B
the best answer is B: Use Amazon API Gateway with AWS Lambda Reasoning: API Gateway provides the required REST API endpoint Lambda can handle real-time processing of location data This combination is cost-effective and scalable Can easily integrate with other AWS services for analytics Provides the necessary multi-tier architecture (API Layer, Processing Layer, Storage Layer)
upvoted 1 times
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EllenLiu
6 months, 4 weeks ago
Selected Answer: D
A common use is the real-time aggregation of data followed by loading the aggregate data into a data warehouse or map-reduce cluster. https://docs.aws.amazon.com/streams/latest/dev/introduction.html#using-the-service
upvoted 1 times
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kimm_10
7 months ago
Selected Answer: D
D is the most viable multi-tier option, as it supports real-time data ingestion, analytics, and accessibility through a REST API.
upvoted 1 times
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