monday.com Work Management Advanced

No. This is an independent study resource and we claim no affiliation with monday.com. When we tried to retrieve https://monday.com/certifications on 2026-11-07 it returned a 404 page reading "So sorry, we couldn't find what you were looking for." Confirm exam logistics directly with monday.com before you book or pay for anything.

We cannot confirm either figure. The vendor certification page we retrieved did not load any exam specification, so question count, time limit, format and language availability are recorded as null. Do not plan your pacing around numbers posted by third-party blogs, which are frequently outdated. Check the vendor's own materials on the day you register.

All four are unconfirmed. None of them appeared in the source we retrieved on 2026-11-07, so we report them as null rather than guessing. Older figures circulating online may predate a revision. If a number matters to your budget or your certification renewal date, verify it on the vendor site or with vendor support before committing.

Our study outline splits coverage evenly at 20% per domain: board structure and item hierarchy; automations, integrations and workflow logic; dashboards and reporting; account administration, permissions and governance; and scaling across teams. That split is our preparation heuristic, not a published official weighting. Do not skip a domain on the assumption it is worth less.

Advanced exams assume hands-on administration, not tutorial familiarity. Questions typically describe a messy real situation and ask which structure, automation or permission model solves it with the least maintenance debt. If you have only built boards as an end user, expect friction on governance, cross-board reporting and automation edge cases. Build and break things in a sandbox first.

Start with board structure and item hierarchy, because everything else depends on it: connect boards, subitems, mirror columns and rollups behave differently depending on how you modelled the data. Then study automations and integrations, then dashboards, since reporting can only aggregate what the structure exposes. Finish with permissions and governance, then scaling, which combines all four.

Three recur. First, memorising where features live instead of reasoning about consequences. Second, ignoring automation limits and recipe dependencies, which produces answers that work in a demo but collapse at volume. Third, treating permissions as an afterthought, so governance scenarios about board ownership, sharing and guest access become guesswork. Practise explaining the trade-off behind each answer out loud.

Rebuild one realistic workflow end to end in a sandbox account: intake form, board with connected items and subitems, two or three automations, a dashboard, then a permission model with a guest and a viewer. Repeat the exercise for a use case with a different shape, such as ticketing versus project delivery. Explaining why your structure differs between the two is the core advanced skill.

We cannot confirm it does. The vendor homepage we retrieved describes AI agents, agent builder, AI workflows, permissions and an AI cost centre as platform capabilities, but it says nothing about exam coverage. Treat AI features as useful context rather than a guaranteed topic, and prioritise the five study domains until official objectives are published.