AA Advanced RPA study plan

Define RPA, intelligent document processing, and agentic automation, and distinguish each with a concrete example

Diagram the reference architecture of an attended vs unattended bot, labeling orchestrator, robot, and credential store

Classify ten common business processes as suitable or unsuitable for automation using a documented scoring rule

Explain how OCR, NLP, and ML models plug into an RPA workflow at the activity level

Compare selector strategies (UI attributes, anchors, computer vision, API integration) and state when each fails

Build a decision table mapping process characteristics to the correct advanced technique (queue, API, document understanding, attended trigger)

Describe how to design idempotent transactions and retry logic for unreliable external systems

Identify data privacy and model-drift risks introduced when AI components are embedded in a bot

Design a dispatcher/performer queue architecture for a high-volume batch process

Write pseudocode for exception handling that separates business, application, and system exceptions

Specify logging, screenshot-on-failure, and audit-trail requirements for a single transaction

Draft a test plan covering happy path, boundary, and negative cases for one workflow

Apply a reusable component and framework layering standard to an existing project structure

Define the code review checklist items a bot build must pass before promotion

Map the environments (dev, test, prod) and deployment gate criteria between them

Draft a rollback and versioning approach for a bot release

Configure a CI/CD pipeline stage sequence including package build, test execution, and artifact promotion

Design monitoring dashboards tracking success rate, queue backlog, and average handling time

Write an incident triage runbook for a failed production bot

Explain how bot performance metrics feed back into the automation pipeline prioritization

Define the CoE operating model roles and decision rights across business, IT, and automation teams

Draft an automation intake and prioritization process with scoring criteria and approval gates

Describe the change management steps required before a bot goes live in a business unit

Outline a citizen-developer guardrail policy with review and promotion requirements

Build a scaling roadmap from pilot to enterprise program with stage gates and KPIs

Identify governance controls for AI-enabled automation including human-in-the-loop and model review

Define an audit and compliance evidence trail for regulated processes

Calculate a business case with cost, FTE savings, and payback period for a candidate process

Synthesize all four domains into a single end-to-end solution proposal for a new scenario

Complete a timed 60-question practice set and log every miss by domain

Re-study the two weakest domains using targeted notes until practice accuracy exceeds 80%

Write a one-page summary of the ten concepts most likely to be tested