Graded Quiz: CrewAI Fundamentals and Advanced Applications :Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI (BM RAG and Agentic AI Professional Certificate) Answers 2025
Question 1
What strategy should Lisa use to streamline workflow with CrewAI?
❌ Train new team members
❌ Develop new AI algorithms
✅ Integrate CrewAI to automate task scheduling and resource allocation
❌ Manage all team communications
Explanation:
CrewAI shines when automating coordination tasks—reducing manual overhead and speeding development cycles.
Question 2
How can CrewAI streamline end-to-end AI workflow?
✅ Automating repetitive tasks + integrating with existing systems
❌ No-code AI platform
❌ Business analytics
❌ Replace all manual processes
Explanation:
CrewAI optimizes workflows but does not replace every human process.
Question 3
How does CrewBase standardize multi-agent setup?
❌ Add visualization libraries
✅ Define team roles and responsibilities inside the class
❌ Automate all tasks
❌ Store deadlines
Explanation:
CrewBase provides a reusable structure for roles, agents, tasks, and workflow logic.
Question 4
Key advantage of structured outputs:
❌ Removes need for databases
✅ Ensures consistent data handling across modules
❌ Auto-generates UIs
❌ Simplifies debugging
Explanation:
Structured outputs ensure predictable, machine-readable responses across the CrewAI pipeline.
Question 5
How do YAML configs simplify CrewAI setup?
❌ Auto-optimize code
✅ Provide human-readable, standardized configuration
❌ Encrypt data
❌ Assign random crews
Explanation:
YAML keeps roles, tasks, and dependencies clean and easy to share or modify.
Question 6
How to use CrewAI custom functions in development?
❌ Create new programming languages
❌ Build hardware interfaces
✅ Automate routine code generation and API tasks
❌ Redesign architecture
Explanation:
Custom functions let developers delegate repetitive engineering tasks to agents.
Question 7
How can custom functions help data processing?
❌ Manage user roles
❌ Build UI
❌ Optimize networks
✅ Integrate custom functions to preprocess datasets (clean, transform, enrich)
Explanation:
Data pipelines benefit directly from automated preprocessing using custom functions.
🧾 Summary Table
| Q No. | Correct Answer | Key Concept |
|---|---|---|
| 1 | Automate scheduling & resource allocation | CrewAI workflow improvement |
| 2 | Automate repetitive tasks | End-to-end AI workflow |
| 3 | Define roles & responsibilities | CrewBase standardization |
| 4 | Consistent data handling | Structured outputs |
| 5 | Human-readable config | YAML standardization |
| 6 | Automate coding tasks | CrewAI custom functions |
| 7 | Preprocess datasets | Data processing automation |