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Exam AWS Certified Solutions Architect - Associate SAA-C03 All Questions

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Exam AWS Certified Solutions Architect - Associate SAA-C03 topic 1 question 631 discussion

A social media company wants to store its database of user profiles, relationships, and interactions in the AWS Cloud. The company needs an application to monitor any changes in the database. The application needs to analyze the relationships between the data entities and to provide recommendations to users.

Which solution will meet these requirements with the LEAST operational overhead?

  • A. Use Amazon Neptune to store the information. Use Amazon Kinesis Data Streams to process changes in the database.
  • B. Use Amazon Neptune to store the information. Use Neptune Streams to process changes in the database.
  • C. Use Amazon Quantum Ledger Database (Amazon QLDB) to store the information. Use Amazon Kinesis Data Streams to process changes in the database.
  • D. Use Amazon Quantum Ledger Database (Amazon QLDB) to store the information. Use Neptune Streams to process changes in the database.
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Suggested Answer: B 🗳️

Comments

Chosen Answer:
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pentium75
Highly Voted 9 months, 2 weeks ago
Selected Answer: B
Relationships between entities = Graph data = Neptune
upvoted 6 times
awsgeek75
9 months, 1 week ago
Also, Neptune Streams can monitor changes in the data and create a changelog
upvoted 5 times
MatAlves
4 weeks, 1 day ago
I come looking for one of you guys comments. Nice.
upvoted 2 times
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TariqKipkemei
Highly Voted 10 months, 2 weeks ago
Selected Answer: B
Amazon Neptune Database is a serverless graph database designed for superior scalability and availability. Neptune Database provides built-in security, continuous backups, and integrations with other AWS services. Suitable for social media. With the Neptune Streams feature, you can generate a complete sequence of change-log entries that record every change made to your graph data as it happens.
upvoted 6 times
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KennethNg923
Most Recent 4 months ago
Selected Answer: B
Normally Amazon Quantum Ledger Database use in blockchain DB more. So i will go for B using Neptune and Neptune Stream for relationship between entities.
upvoted 1 times
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haci
7 months, 1 week ago
Selected Answer: C
Amazon QLDB tracks and maintains a sequential history of every application data change using an immutable and transparent log. It trusts the integrity of your data. Built-in cryptographic authentication provides third-party verification of data changes. QLDB ACID transactions can create accurate, event-driven systems with support for real-time streaming to Amazon Kinesis.
upvoted 1 times
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NickGordon
11 months, 1 week ago
Selected Answer: B
B Social network -> Graph Structure -> Neptune
upvoted 2 times
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ekisako
11 months, 1 week ago
Selected Answer: B
Keyword: analyze the relationships With Amazon Neptune, you can create sophisticated, interactive graph applications that can query billions of relationships in milliseconds. https://aws.amazon.com/neptune/features/
upvoted 4 times
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potomac
11 months, 2 weeks ago
Selected Answer: C
Amazon Neptune is primarily used for managing highly connected graph data, making it well-suited for graph-based applications. In contrast, Amazon QLDB is designed for applications that require an immutable and auditable transaction history to ensure data integrity.
upvoted 2 times
pentium75
9 months, 2 weeks ago
Exactly, thus B. "Relationships between the data entities" is "graph data".
upvoted 1 times
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warp
11 months, 2 weeks ago
Selected Answer: B
Neptune is a graph type database and Neptune streams provides view on changes into the database: https://docs.aws.amazon.com/neptune/latest/userguide/streams.html
upvoted 2 times
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AF_1221
11 months, 2 weeks ago
C is the correct answer provides a well-suited, managed, and scalable solution for storing and monitoring the database with the least operational overhead, meeting the requirements of the social media company.
upvoted 2 times
awsgeek75
8 months, 4 weeks ago
AQLB is like a blockchain database. Are you sure this is the correct option for graph data?
upvoted 1 times
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C (25%)
B (20%)
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