Exam AWS Certified Solutions Architect - Professional SAP-C02 All Questions

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Exam AWS Certified Solutions Architect - Professional SAP-C02 topic 1 question 323 discussion

Exam question from Amazon's AWS Certified Solutions Architect - Professional SAP-C02

Question #: 323
Topic #: 1

[All AWS Certified Solutions Architect - Professional SAP-C02 Questions]

A company processes environmental data. The company has set up sensors to provide a continuous stream of data from different areas in a city. The data is available in JSON format.

The company wants to use an AWS solution to send the data to a database that does not require fixed schemas for storage. The data must be sent in real time.

Which solution will meet these requirements?

A. Use Amazon Kinesis Data Firehose to send the data to Amazon Redshift.
B. Use Amazon Kinesis Data Streams to send the data to Amazon DynamoDB.
C. Use Amazon Managed Streaming for Apache Kafka (Amazon MSK) to send the data to Amazon Aurora.
D. Use Amazon Kinesis Data Firehose to send the data to Amazon Keyspaces (for Apache Cassandra).

Show Suggested Answer

Suggested Answer: B 🗳️

by cypkir at Nov. 21, 2023, 8:25 p.m.

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Comments

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shaaam80

Highly Voted 1 year, 6 months ago

Selected Answer: B

Kinesis Data streams is real-time. Firehose is near real-time. DynamDB is not a relational DB and does not enforce fixed schemas on its tables. Answer is B

upvoted 9 times

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FZA24

Most Recent 5 months ago

Selected Answer: B

Ok B but there is not built-in directly connector between KDS and DynamoDB. All designs show a Lambda between them. Any link to illustrate this design?

upvoted 2 times

GabrielShiao

5 months ago

There is no exact correct answer. B is the only the incomplete approach

upvoted 1 times

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AzureDP900

7 months ago

B is correct Amazon DynamoDB is designed to handle high-traffic, real-time data streams and can store JSON-formatted data without requiring fixed schemas. Kinesis Data Streams can capture and transform the data in real-time, and by sending it directly to DynamoDB, you can leverage DynamoDB's NoSQL key-value store with flexible schema support. In fact, using Kinesis Data Streams to feed DynamoDB is a common pattern for building scalable, high-traffic applications that require real-time data processing.

upvoted 1 times

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053081f

11 months, 2 weeks ago

Selected Answer: D

By using Amazon Kinesis Data Firehose to send the data to Amazon Keyspaces, the company can efficiently stream real-time data and store it in a schema-less database, meeting the requirement for flexibility and real-time processing. Option B is not correct: While Amazon Kinesis Data Streams can handle real-time data, it does not directly integrate with Amazon DynamoDB. Additional steps are needed to process and insert the data into DynamoDB. Additionally, DynamoDB, though flexible, typically benefits from having a defined schema for efficient access patterns.

upvoted 1 times

helloworldabc

10 months, 1 week ago

just B

upvoted 2 times

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anubha.agrahari

1 year ago

B, Firehose+ DynamoDB https://aws.amazon.com/blogs/database/working-with-json-data-in-amazon-dynamodb/

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9f02c8d

1 year ago

Option D - By using Amazon Kinesis Data Firehose to send the environmental data to Amazon Keyspaces (for Apache Cassandra), you can leverage a fully managed streaming data ingestion service and a schema-flexible NoSQL database, meeting the requirements for real-time processing and storage of data without a fixed schema.

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vibzr2023

1 year, 5 months ago

Answer: B Option B leverages the strengths of both Kinesis Data Streams and DynamoDB to provide a scalable and real-time solution for ingesting and storing JSON-format data without fixed schemas. Option A: Kinesis Data Firehose: While suitable for real-time data delivery, it has a limited set of destinations, not including DynamoDB.

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