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DT-IA-Pro Exam Format | Course Contents | Outline | Syllabus | Objectives

DT-IA-Pro Exam Information and Outline

Digital Transformation IA Professional

Syllabus Update Checked on: November 10, 2026

DT-IA-Pro Exam Syllabus & Study Guide

Before you start practicing with our exam simulator, it is essential to understand the official DT-IA-Pro exam objectives. This course outline serves as your roadmap.

The information below reflects the 2026 syllabus defined by Arcitura.

Below are complete topics detail with latest syllabus and course outline, that will help you good knowledge about exam objectives and topics that you have to prepare. These contents are covered in questions and answers pool of exam.

  • Exam Format
    • Online-proctored multiple-choice certification exam (Pearson VUE) covering the modules below
    • Practice exam questions provided with the certification bundle
  • Module 1: Fundamental Digital Transformation
    • Benefits, challenges, business and technology drivers
    • Customer-centricity, omni-channel interaction and customer journeys
    • Data intelligence: sources, collection and utilization
    • Manual vs. automated and real-time decision-making
  • Module 2: Digital Transformation in Practice
    • Distributed solution design and data ingress (file, API, streaming)
    • Cloud, blockchain, IoT, RPA, big data, ML and AI with their risks
    • Step-by-step customer-centric DT solution
  • Module 3: Fundamental Predictive AI
    • Business and technology drivers, benefits and risks
    • Predictive AI types and business problem categories
    • Learning approaches: supervised, unsupervised, semi-supervised, reinforcement
    • Model training loop; AI models and neural networks
    • Functional designs: computer vision, NLP, speech recognition, robotics
  • Module 4: Fundamental RPA
    • RPA drivers, goals, benefits and risks
    • Front-end and back-end integration
    • Components, bot runners, architecture layers and lifecycle
    • Use cases: data entry, routing, web search, digitization, UAT

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