CertNexus CET study guide
CertNexus CET · Work through your exam, one topic at a time.
The CertNexus CET sits in a portfolio of vendor-neutral credentials that CertNexus describes as validating practical knowledge in the technology areas reshaping the workforce: artificial intelligence, cybersecurity, data science, data ethics, and the Internet of Things. Because the dedicated CET page returned a "No Results Found" error when retrieved, this page cannot state the exam's item count, time limit, passing score, fee, format, delivery method, or domain weightings; those fields are deliberately left blank pending verification rather than filled from memory. What the public site does establish is the surrounding design philosophy: certifications focus on transferable concepts rather than one vendor or platform, are built around knowledge professionals can apply in real business and technical environments, and select credentials are accredited by the ANSI National Accreditation Board under ISO/IEC 17024 - currently Certified Artificial Intelligence Practitioner, CyberSec First Responder, and Certified Data Science Practitioner. Candidates typically prepare through certification-aligned training, self-study resources, or instruction from a CertNexus Authorized Training Partner offering classroom, virtual, and self-paced options. The CertNexus CET study guide has 5 sections and about 1,863 words.
01Cybersecurity
This domain tests the vocabulary and judgment behind protecting systems, data, and people. Expect questions on the CIA triad, identity and access management, threat types, network defenses, cryptography basics, and incident response.
401 words, about 2 min02Internet of Things
This domain tests how connected devices sense, communicate, and are managed, and where they fail. CET questions cover architecture layers, sensors and actuators, wireless protocols, edge versus cloud processing, and the security and lifecycle risks of constrained devices.
352 words, about 2 min03Artificial Intelligence
This domain tests what AI is, how machine-learning models are built and judged, and where AI creates risk. CET questions emphasize supervised versus unsupervised learning, classification versus regression, evaluation metrics, data quality, and generative-AI limits.
366 words, about 2 min04Data Science
This domain tests the end-to-end practice of turning data into defensible decisions. CET questions cover the data lifecycle, data types, descriptive statistics, sampling and bias, visualization choice, and basic inference.
380 words, about 2 min05Data Ethics
This domain tests how to use data and AI responsibly when legal compliance alone is not enough. CET questions cover ethical principles, consent and privacy, bias and fairness, transparency, accountability, and governance.
364 words, about 2 min