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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

  1. What is the primary benefit of using Appian's native IDP (Intelligent Document Processing) over custom-built OCR solutions?

    Answer: IDP is pre-integrated with Appian workflows, enabling extracted data to flow directly into processes without custom code

    Native IDP integration eliminates data handoff complexity by directly populating process variables with extracted document fields.

  2. In Appian, what does 'attended automation' mean in the context of RPA?

    Answer: A bot that runs on a human's machine and assists them during live work sessions

    Attended RPA bots work alongside a human user, automating specific UI tasks on demand while the user remains in control of the session.

  3. How does Appian ensure that AI-driven decisions in regulated industries remain auditable?

    Answer: All AI decisions, model inputs, and outputs are stored in the process audit trail alongside human actions

    Appian's unified process audit trail captures all actions including AI-driven ones, giving regulators a complete record of how decisions were reached.

  4. Which Appian Smart Service can be used to call an AI classification model and route a process based on the returned category?

    Answer: Call Integration Smart Service combined with a conditional gateway based on the returned value

    Calling an integration to get an AI classification result, then using a conditional gateway to route based on that value, is the standard Appian pattern.

  5. What is a key consideration when deploying RPA bots in Appian to interact with third-party web applications?

    Answer: UI changes in the target application can break selectors, requiring bot maintenance

    RPA bots are fragile to UI changes because they rely on element selectors; any redesign of the target application may require bot updates.

  6. In the context of Appian AI, what is a 'training dataset' used for?

    Answer: A labeled set of historical examples used to train an ML model that Appian will call for predictions

    Training datasets contain labeled examples that machine learning algorithms learn from, producing a model that Appian can later call for real predictions.