Professional Credentials & Global Market Recognition

Validates the operational skills required to install, configure, operate, and secure Red Hat OpenShift clusters in enterprise production environments.

Key skills evaluated during the exam:

✓ Deploy, configure, and maintain zero-downtime OpenShift cluster updates

✓ Configure enterprise identity management and fine-grained RBAC policies

✓ Manage persistent storage (CSI, ODF) and network isolation with NetworkPolicies

✓ Enforce robust workload security contexts with Security Context Constraints (SCC)

✓ Declarative configuration management using Kustomize and Helm charts

✓ Node troubleshooting and automated lifecycle management via OLM

Validates enterprise application containerization, declarative CI/CD pipeline creation with Tekton, and microservices deployment on OpenShift.

Key skills evaluated during the exam:

✓ Build secure, rootless container images with Podman and Containerfiles

✓ Automate multi-stage application builds with Source-to-Image (S2I)

✓ Design cloud-native CI/CD pipelines using OpenShift Pipelines (Tekton)

✓ Deploy resilient multi-container workloads with Liveness/Readiness health probes

✓ Manage externalized configurations, secrets, and environment bindings

✓ Troubleshoot runtime application deployment issues in production

Validates the deployment and operation of AI infrastructure with Red Hat OpenShift AI: LLM serving (vLLM, KServe), Kubeflow MLOps pipelines, and TrustyAI monitoring.

Key skills evaluated during the exam:

✓ Deploy and administer Red Hat OpenShift AI (RHOAI) in production

✓ High-performance LLM model serving using vLLM and KServe runtime engines

✓ Automate reproducible MLOps/LLMOps workflows using Kubeflow Pipelines

✓ Configure GPU hardware acceleration (NVIDIA GPU Operator, MIG, Time-Slicing)

✓ Enforce AI safety, bias mitigation, and model monitoring with TrustyAI

✓ Integrate enterprise RAG architectures and secure Data Science workbenches