The agent retrieved core positioning, training offerings, and credential types from the homepage and credentials page, and found explicit pricing information in the FAQ. However, it could not complete a full competitive analysis or access detailed exam pricing, leaving the answer partial and reliant on model memory for the alternatives comparison.

• ›Step [0] homepage provided comprehensive high-level positioning (what it does, who it's for, main sections) in a single fetchable response, making immediate sense of the site's structure.
• ›Step [3] FAQ explicitly stated 'Microsoft Learn training is free and available to anyone,' directly answering a core pricing question, and clarified the distinction between Achievements and Credentials, reducing ambiguity.
• ›Step [2] credentials page revealed two credential types (Certifications and Applied Skills) with benefits and use-cases, but did not include exam pricing or Applied Skills cost.
• ›Step [1] training browse page returned only metadata headers and no visible course listings or filtering details, rendering it non-content-bearing and preventing the agent from assessing training scope or structure.
• ›The agent correctly identified gaps it could not fill from the site (exam pricing, competitive positioning, instructor-led course pricing) and attributed those to model memory rather than claiming false retrieval, demonstrating transparent uncertainty.