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MLA-C01 deep review — September 28, 2026

The complete guide was read and updated, with 70 detailed skills mapped against AWS's accessible static PDF version 1.0. Current C01 HTML pages and the docs-hosted PDF returned 404. This review therefore retains an explicit source blocker; it does not certify that the old PDF contains every later change.

Changes for learners

  • Replace broken reader-facing domain links with the labeled official PDF fallback, while leaving the monitored HTML source visibly unresolved.
  • Distinguish the English September 28 cutoff from the other three language versions. January 14, 2027 is the September announcement's GA plan; the credential table still says TBD.
  • Qualify Clarify, Debugger and Model Monitor as existing-customer features, and add available learning alternatives. Retain the underlying bias, drift, observability and labeling concepts.
  • Add four original worked examples: historical feature availability, threshold/review-capacity tradeoffs, endpoint/canary sizing and delayed-label denominators. Add explanations for all 40 existing knowledge checks.
  • Strengthen extraction bottlenecks, ensemble/size tradeoffs, edge compatibility and branch/promotion guidance.

Article and resource intake

The AWS/GoDaddy point-in-time article (June 22, 2021) is useful for timestamp semantics. The guide adds an original availability-cutoff exercise and distinguishes corrected history from an original-decision replay. The article's old Spark/SDK code was not executed.

Public course pages were inspected. Pluralsight still lists five courses, eight labs and 20 hours. Blocked provider pages and sign-in/video shells do not establish content, quality or present runtime; the guide labels planning estimates and verification gaps. Paid lessons were not accessed.

Evidence and limits

Operational receipt records the prior catalog entries, dated fetch outcomes, objective hashes and section mapping. Full copyrighted outlines are not republished. The candidate automated scan reports a C01 fetch error; accepted objective snapshots were not advanced. AWS's automated extractor captures broad domains rather than the complete detailed skills.

Twelve local assertions checked the original examples. Proposed AWS labs remain unexecuted; independent human review is pending. Repository, learning-catalog and strict-site checks are recorded in the receipt after completion.