Testing, Deployment, and Maintenance10% of the exam

Testing Center evaluations and test results

What each Testing Center evaluation compares, how default, quality and custom scorers are judged and scored, why non-deterministic agents still need evaluation at scale, and how to read a run and act on failed test cases.

Official exam objective
Explain how Testing Center evaluations work.

~7 min read · 8 practice questions ·

What the exam expects

  • Explain what each default evaluation compares: subagent, actions and response, expected against actual.
  • Predict the result when an agent runs only some of the expected actions.
  • Name the quality scorers (completeness, coherence, conciseness, latency, instruction adherence) and say what custom scorers add.
  • Explain why non-deterministic output is a reason to evaluate at scale, not a reason to skip it.
  • Read a finished run and choose the right fix for a failed test case: change the agent or change the test.
  • Key terms: evaluation / scorer (a check run on every test case; the Studio Testing Center says scorer); assertion (a pass or fail comparison of expected and actual subagent or actions); LLM-as-judge (one model scores another model's output against criteria); expected response (the answer you expect the agent to give); pass rate (the share of test cases that passed one evaluation in a run).

Key facts

Default scorers
Detail
Turn-level: response, subagent, action; conversation-level: task resolution, subagent, actions; always run
Default evaluation scores
Detail
Subagent and action: 1 pass or 0 fail; Response Evaluation: LLM-judged, 3 to 5 generally succeeds
Action assertion
Detail
Fails if any expected action is missing or a wrong action is chosen
Conversation-level actions
Detail
Pass if all expected actions occurred, extra actions allowed
Response evaluation
Detail
LLM judge compares agent response with expected response
Expected response content
Detail
The response you expect, not instructions about it
Quality scorer threshold
Detail
0-5 scale, 3 or higher passes
Custom scorer output
Detail
Labels (with fallback label) or free-form; you set the threshold
Run overview
Detail
Subagent, Action and Response Evaluation Pass %
Sources for this section (5)
  • What does each default evaluation compare?
  • Why can a correct answer fail response evaluation?
  • When should you add a custom scorer?
  • Why does non-determinism make evaluation at scale more important?
  • How are quality scorers such as completeness scored?

The questions are free to read. Answers with their sources and self-grading are included with the pack.

Keep reading with the Agentforce Specialist pack

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