WorksheetsAI Challenges and Solutions in 2025
Total questions: 20
Worksheet time: 10mins
What is the biggest challenge AI stacks face in 2025, according to the article?
Lack of data
Poor model performance
Disconnected tools and systems
Limited cloud storage
What percentage of companies say their AI investments aren’t delivering expected results in 2025?
25%
45%
Over 68%
90%
What does MCP stand for?
Model Context Protocol
Modular Connection Pipeline
Machine Control Program
Model Coordination Platform
What is the primary function of MCP?
Train AI models
Optimize neural networks
Connect and coordinate AI systems
Manage cloud infrastructure
MCP acts like which common analogy?
Remote control for AI
Diplomatic translator for AI systems
Firewall for data security
Compiler for AI code
What does MCP replace to simplify system integration?
Training datasets
Hardware accelerators
Fragile APIs and brittle scripts
UI components
Which of the following is NOT a core feature of MCP?
Smart tool discovery
Automatic model training
Persistent context sharing
Common communication protocol
What is 'MCP Host'?
The protocol itself
An AI assistant or app using MCP
A database connector
An external API
What role does the 'MCP Client' play?
Executes AI queries
Forwards requests from host to server
Stores contextual data
Generates reports
What is the 'MCP Server' responsible for?
Training AI agents
Wrapping tools, databases, or APIs for access
Filtering input data
Encrypting data logs
MCP allows AI systems to collaborate without:
Constant human oversight
Any training
GPU acceleration
Cloud dependency
Which of the following is a benefit of MCP?
Requires frequent manual configuration
Enables real-time tool discovery and integration
Only works with OpenAI tools
Prevents data sharing
What happens when a new tool is added to an MCP-enabled stack?
Manual code must be added
The AI system can use it immediately
Old tools stop working
System must reboot
Which AI platforms are starting to support MCP?
Only ChatGPT
None yet
Claude, ChatGPT, Replit, Cursor
Only enterprise-only platforms
MCP helps teams avoid:
Working with AI at all
Vendor lock-in and spaghetti stacks
Using open-source tools
Model fine-tuning
What is one real-world use case given for MCP in the article?
Coordinating tools like Zendesk, Salesforce, and Google Sheets for research
Powering gaming engines
Running security cameras
Developing AR/VR apps
How does MCP reduce development time?
Uses faster GPUs
Reduces training epochs
Automates integration across tools
Converts code to Python
MCP is compared to which common technology interface?
HDMI
USB-C
Ethernet
Bluetooth
What makes MCP scalable?
Modular design and plug-in architecture
Centralized database system
Requires less memory
Built-in cloud hosting
What kind of roadmap is mentioned at the end of the article?
AI Ethics Roadmap
4-Phase MCP Integration Roadmap
Neural Net Deployment Plan
API Optimization Guide
