Home › Forums › AWS › AWS Certified Generative AI Developer – Professional AIP-C01 › The following question has wrong answer choices
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You can’t increase the AgentCore memory or increase the AgentCore processing or upgrade AgentCore storage capacity.
AgentCore does not support any of these.
The answer should be related to the Instances where the model endpoint deployed.
A finance company has deployed a generative AI model using Amazon Bedrock to power its customer support chatbot. The model is designed to handle various customer inquiries and deliver real-time responses. However, the company has encountered issues where the model intermittently fails to process complex queries and crashes when handling a high volume of requests. The investigation reveals that the model’s performance suffers significantly when multiple complex queries are processed simultaneously, causing memory-related errors.
The company needs to enhance its Bedrock deployment to better manage higher memory demands during peak usage, ensuring that the model can handle more complex queries without performance degradation or crashes.
Which solution will resolve this issue and improve the model’s stability?
Hence, the correct answer is: Expand the memory capacity of the Bedrock AgentCore agent.
The option that says: Increase the number of Bedrock AgentCore agent instances is incorrect because it is only a scaling solution, which may distribute the load but does not directly address the core issue of insufficient memory.
The option that says: Add more processing power to the Bedrock AgentCore agent is incorrect because it is primarily a solution for improving the speed of computations. It does not resolve memory-related issues that cause crashes or performance degradation.
The option that says: Upgrade the storage capacity of the Bedrock AgentCore agent is incorrect because it focuses on expanding storage, which does not directly impact the memory limitations. The problem here is insufficient memory, not storage.
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Thank you for bringing this to our attention. This is a great catch and your feedback is absolutely valid. We truly appreciate you taking the time to point it out.
Our team has already flagged the question for review, and we will update it in the next content review cycle. We will also include additional supporting details to make the scenario clearer and ensure it aligns with both the exam context and real-world best practices.
If you have any questions or concerns, feel free to message us. We are always happy to assist.
Regards, Ace Tutorials Dojo
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