Search the practice set
126 questions, 454 terms and 400 topics in 20 areas.
10 results for “Prompt Injection Defence”
Prompt Injection
An attack in which text from an untrusted source is interpreted by the model as instructions rather than as data.
Prompt Registry
A versioned store of production prompts with their model bindings, parameters and evaluation results, so a prompt change is a reviewable, traceable, reversible deployment.
Prompt Versioning
Treating prompts as versioned, reviewed, tested artefacts rather than as strings edited in place.
Context Window
The maximum number of tokens a model can attend to in one request, holding the system prompt, history, retrieved context, tools and the answer.
You are asked to give an internal AI agent access to the customer database, the ticketing system and outbound email so it can resolve support tickets. What is your response?
What the interviewer is testing Whether you recognise a specific and well documented security pattern, and whether you can propose a workable design instead of
An LLM feature that worked last week now gives worse answers. Nothing was deployed. How do you find out what changed, and what should have been in place?
What the interviewer is testing Whether you treat an AI feature as a system with configuration and dependencies, or as a black box that mysteriously drifts. Wha
Prompt Injection Defence
Breaking the private-data, untrusted-input, outbound-channel combination.
Prompt & Version Management
Prompts as reviewed, versioned, evaluated production configuration.
Chaos Engineering
Hypothesis-driven failure injection with a bounded blast radius.
Secrets Management
Runtime injection, dynamic credentials and rotation applications survive.