DT-Tech-Pro Exam Information and Outline
Digital Transformation Technology Professional
Syllabus Update Checked on: November 5, 2026
DT-Tech-Pro Exam Syllabus & Study Guide
Before you start practicing with our exam simulator, it is essential to understand the
official DT-Tech-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
- Note: Fundamental Blockchain and Fundamental IoT are alternatives (one required)
- 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 Cloud Computing
- Cloud terminology, concepts and virtualization basics
- Cloud characteristics: on-demand usage, elasticity, resiliency, measured usage
- Benefits, challenges, risks and cloud roles
- Delivery models: SaaS, PaaS, IaaS
- Deployment models: public, private, hybrid, community
- Cost metrics and SLA quality-of-service formulas
- Module 4: Fundamental Blockchain
- Benefits, challenges and drivers
- Decentralized model, distributed ledger, blocks and chains
- Merkle trees and consensus algorithms (PoW, PoS)
- Public vs. private, permissioned vs. permissionless chains
- Coins, tokens, smart contracts, hashing and forks
- Module 5: Fundamental IoT
- IoT business domains, use cases and concepts
- Sensors, microcontrollers, gateways and low-power networks
- Edge and fog computing; IoT platforms and architecture layers
- Messaging: REST, HTTP, CoAP, MQTT; JSON and Protocol Buffers
- Module 6: Fundamental AI Architecture & Design
- AI architecture vs. AI engineering; product vs. custom architectures
- Architecture scopes, operational modes and system types (monolithic, modular, hybrid)
- Core modules: data ingestion, preprocessing, feature engineering, inference engine, model repository
- Operations, data, model and ancillary monitors