Question 260
A shared embedding collection leaks document snippets from another department despite search similarity working normally. Which observed result BEST confirms that the security requirement is met?
Explanation
Correct Answer
Poisoned documents or swapped model dependencies fail integrity or access checks before affecting sensitive answers. This is an observable acceptance condition, rather than an assumption that enabling a feature alone proves security. A vector store can surface semantically similar but unauthorized or poisoned content; relevance scores are not authorization proof. Situation: A shared embedding collection leaks document snippets from another department despite search similarity working normally.
Incorrect Answers
A hostile document can be summarized without causing the assistant to reveal credentials or invoke unapproved tools. This outcome tests Prompt injection trust boundary and is not sufficient proof of the stated requirement. Here the relevant validation is: Poisoned documents or swapped model dependencies fail integrity or access checks before affecting sensitive answers. Situation: A shared embedding collection leaks document snippets from another department despite search similarity working normally.
One failed perimeter control does not provide unmonitored unrestricted access to sensitive workloads. This outcome tests Defense in depth and Cisco SAFE and is not sufficient proof of the stated requirement. Here the relevant validation is: Poisoned documents or swapped model dependencies fail integrity or access checks before affecting sensitive answers. Situation: A shared embedding collection leaks document snippets from another department despite search similarity working normally.
Protected traffic crosses the tunnel with authenticated peers and encrypted data even behind the intended NAT device. This outcome tests IPsec IKE and NAT traversal and is not sufficient proof of the stated requirement. Here the relevant validation is: Poisoned documents or swapped model dependencies fail integrity or access checks before affecting sensitive answers. Situation: A shared embedding collection leaks document snippets from another department despite search similarity working normally.


