AA Advanced RPA study guide
AA Advanced RPA · Work through your exam, one topic at a time.
The Advanced Certification is one of the credentials offered through Automation Anywhere University, the training and certification arm of Automation Anywhere. Where the Essentials Certification covers automation and AI fundamentals for beginners, the Advanced Certification is positioned for practitioners who want to go further: the vendor describes it as unlocking "advanced techniques and strategies in automation and AI" and elevating existing expertise. The AA Advanced RPA study guide has 4 sections and about 1,323 words.
01Automation and AI Fundamentals
Advanced RPA work sits on a layered stack: deterministic rule-based automation at the base, then orchestration, then intelligence (OCR/IDP, classification, ML scoring, LLM-based extraction or summarisation). Candidates should be able to distinguish deterministic tasks (fixed rules, structured input) from probabilistic ones (unstructured documents, judgement, ambiguity) and explain why the latter needs confidence thresholds, human-in-the-loop review, and exception routing rather than silent auto-approval.
337 words, about 2 min02Advanced Automation Techniques and Strategies
Advanced programmes move beyond single-bot scripts to reusable components, queue-based asynchronous design, and hybrid automation that combines RPA with APIs, IDP, rules engines, and AI services. Candidates must understand the Dispatcher–Performer pattern, transaction queues with retry and dead-letter handling, and idempotency so a retried transaction does not double-post.
338 words, about 2 min03Bot Design, Build, and Deployment
This domain tests engineering discipline: modular framework design (separation of business logic, config, and UI selectors), robust selector strategy, credential and asset management via a secure vault, comprehensive logging, and structured exception handling (business vs system exceptions). Candidates should know the PDD/SDD artefact chain, code review and peer review gates, version control, and packaging for release.
298 words, about 1 min04Governance, CoE Practices, and Scaling Automation
Scaling is a governance problem as much as a technical one. Candidates must understand the CoE operating models (centralised, federated, hybrid), the automation lifecycle from intake and prioritisation through build, run, and retirement, and the artefacts that gate each stage: idea backlog, PDD, SDD, test evidence, change request, and decommission record.
350 words, about 2 min