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Quiz 1: MCP Fundamentals

Test your knowledge of the core concepts of Model Context Protocol.

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Q1: What is the primary purpose of Model Context Protocol (MCP)?

To limit the training data of AI models To enable AI models to connect with external data sources, tools, and environments To replace prompting when using Large Language Models To create a new programming language for AI

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Q2: What problem does MCP primarily aim to solve?

The lack of AI models The high cost of training LLMs The M×N Integration Problem The difficulty in creating new AI algorithms

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Q3: Which of the following is a key benefit of MCP?

Reduced AI model accuracy Increased complexity in AI development Standardization and interoperability in the AI ecosystem Isolation of AI models from external systems

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Q4: In MCP terminology, what is a “Host”?

The external program exposing capabilities The user-facing AI application A read-only data source A pre-defined template for interactions

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Q5: What does “M×N Integration Problem” refer to in the context of AI applications?

The difficulty of training M models with N datasets The challenge of connecting M AI applications to N external tools without a standard The problem of managing M users across N applications The complexity of developing M features for N different user segments

Congrats on finishing this Quiz 🥳! If you need to review any elements, take the time to revisit the chapter to reinforce your knowledge.

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