Guide-linked quiz · Medium Level
Prompt Chaining Quiz
Check your understanding of how prompt chains pass outputs forward, how gates catch errors, and how chains differ from autonomous agents.
Question 1 of 8
What is the defining feature of prompt chaining?
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- What is the defining feature of prompt chaining?
- One very long prompt that contains every instruction
- A fixed sequence of prompts where each step's output feeds the next
- A model that picks its own tools at run time
- Sending the same prompt to many models at once
- How does a prompt chain differ from an autonomous agent?
- Chains cannot use JSON
- Agents never call tools
- In a chain the developer hard-codes the steps, while an agent decides its next step at run time
- Chains always use more expensive models
- In Anthropic's "Building Effective Agents" essay, what are "gates" in a prompt chain?
- Programmatic checks between steps
- Paid access tiers for the API
- Security firewalls around the model
- Parts of the model's neural network
- What trade-off does prompt chaining typically make?
- Lower accuracy for lower cost
- No trade-off at all
- Less debuggability for more speed
- Extra latency for higher accuracy
- If each of four chained steps is 95 percent reliable and failures are independent, roughly how reliable is the whole chain?
- 95 percent
- About 81 percent
- About 50 percent
- 99 percent
- Why should each step pass forward only the information the next step needs?
- To avoid bringing back the context bloat chaining was meant to reduce
- Because APIs reject long inputs
- So the model forgets its instructions
- To make logging impossible
- In Prompt Chaining: which statement does the guide describe as a misconception?
- Intermediate outputs should be logged
- Independent steps can run in parallel
- You need a special framework to build a prompt chain
- Structured output makes validation easier
- How can prompt chaining sometimes lower costs instead of raising them?
- It removes the need for output tokens
- Providers give chains free credits
- It avoids sending any input tokens
- Easy steps can run on smaller, cheaper models
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