enterprise
FDE interview questions tagged enterprise, across every topic.
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Concepts behind "enterprise"
The curriculum that explains the ideas these questions test.
Advanced
VPC and Air-Gapped DeploymentLarge enterprises will not let their data leave their security boundary, so you deploy your software inside the customer's private VPC, reach their data over PrivateLink instead of the public internet, authenticate through their SSO, and encrypt everything at rest and in transit. For air-gapped environments you ship self-hosted models too. This is core Forward Deployed Engineer work.⚙️ System Design for AI in Production🔒 Premium
Advanced
Multi-Tenancy and Data IsolationMulti-tenancy is serving many customers from shared infrastructure while guaranteeing no tenant can ever see another's data. The isolation strategies run a spectrum from row-level filtering to fully separate databases, trading cost against blast radius. The non-negotiable rule for AI systems: tenant scope is enforced below the model, in code that filters queries and scopes credentials, never by instructing the model in a prompt. A single prompt-injected document is enough to break prompt-level isolation.🛡️ AI Security, Privacy & Governance🔒 Premium
Advanced
Model Selection for Enterprise DeploymentsChoosing a model in a customer environment is rarely a benchmark question. Deployment location, data handling terms, procurement status and version stability usually eliminate most of the field before quality enters the conversation, and the model that wins is the best one inside the constraints rather than the best one available.🧠 Foundations of LLMs & GenAI🔒 Premium
Advanced
MCP (Model Context Protocol)MCP is an open standard for connecting an agent to external tools and data through a uniform interface, so a tool written once works with any compatible client. It turned the N-times-M integration problem into N-plus-M, and by 2026 shipping an MCP server is a routine part of a forward deployed engagement rather than a novelty.🤖 Retrieval & Agents🔒 Premium
Advanced
Permission-Aware RAGEnterprise RAG usually fails on permissions before it fails on relevance. If the index does not know who may see each chunk, the system will eventually quote a document to someone who was never allowed to open it, and that is a breach rather than a bad answer.🤖 Retrieval & Agents🔒 Premium
Advanced
The Ontology (Semantic Layer)An ontology is a shared model of a business in objects, links and actions: the nouns a company argues about, how they relate, and what may be done to them. Palantir productized the idea in Foundry and the rest of the industry has since copied it, because grounding an AI system in a customer's own vocabulary is what makes it usable and auditable.⚙️ System Design for AI in Production🔒 Premium
