Red Hat Certified Specialist in Service Mesh for Resilient Microservices Exam

Exam description

The Red Hat Certified Specialist in Building Resilient Microservices exam (EX328) tests your skills and knowledge with regard to creating and managing a resilient mesh of microservices, using Red Hat OpenShift Container Platform and Red Hat OpenShift Service Mesh. The exam focuses on the basic skills required to use Red Hat Service Mesh to configure and manage the resilient operation of an application composed of several microservices with a persistent data store.

By passing this exam, you become a Red Hat Certified Specialist in Building Resilient Microservices, which also counts toward earning a Red Hat Certified Architect (RHCA®) certification.

Objectives listed for this exam are based on the most recent Red Hat product version available. Click “Get started” to view all versions of this exam available for purchase.

Audience for this exam

The following audiences may be interested in earning the Red Hat Certified Specialist in Building Resilient Microservices credential:

• Administrators or architects in a DevOps role who are responsible for managing a Red Hat OpenShift Container Platform environment
• Administrators or architects in a DevOps role who are responsible for implementing a Red Hat OpenShift Container Platform environment
• Application developers who are responsible for managing multiple microservices or supporting an existing group of microservices on the Red Hat OpenShift Container Platform

Prerequisites for this exam

The prerequisites for this exam are a working knowledge of Red Hat OpenShift applications such as that provided by the Red Hat OpenShift Development II: Containerizing Applications (DO288) and Building Resilient Microservices with Istio and Red Hat OpenShift Service Mesh (DO328) courses. Specifically, candidates for this exam should able to use Red Hat OpenShift Container Platform to:

• Create and work with multiple Red Hat OpenShift projects
• Deploy applications
• Work with container images
• Work with Kubernetes resources written in either JSON or YAML format
• Understand the Kubernetes Custom Resource Definitions (CRD)