AI & Intelligent Automation Flashcards
6 cards from real ACA practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 AI & Intelligent Automation flashcards as text
Which Appian feature allows business analysts to define and test AI-powered document schemas without writing code?
Answer: Appian IDP Document Designer for defining extraction templates
The IDP Document Designer lets analysts configure which fields to extract from documents using a visual template interface, with no code required.
What is 'unattended automation' in Appian RPA?
Answer: A bot that runs autonomously on a server without any human present, triggered by schedule or event
Unattended bots execute fully autonomously on dedicated server infrastructure, typically triggered by process events or schedules.
How does Appian's process mining capability help analysts improve workflows?
Answer: It analyzes historical process execution data to identify bottlenecks, deviations, and optimization opportunities
Process mining in Appian uses actual execution logs to reveal where processes deviate from the intended flow or accumulate delays.
In Appian, which approach is recommended for integrating a third-party AI service like OpenAI or Azure Cognitive Services?
Answer: Create an Appian Connected System and Integration Object pointing to the AI service's REST API
Appian's Connected System and Integration Object framework is the standard, secure way to call any external REST-based AI service.
What benefit does combining Appian RPA with Appian's process orchestration layer provide over standalone RPA tools?
Answer: Bots are managed as part of an end-to-end automated workflow with full visibility, audit trails, and exception handling in one platform
Integrating RPA into Appian's workflow engine means bot tasks inherit process-level monitoring, error handling, and audit capabilities automatically.
Which Appian AI concept refers to continuously improving model accuracy by incorporating feedback from human reviewers on bot or model decisions?
Answer: Active Learning / Continuous Training Loop
Active learning uses human corrections on model predictions as new labeled training data, allowing the model to improve over time with real-world feedback.