Certified DataPower Gateway v10.x Administrator Intermediate Practice Exam: Medium Difficulty 2025

A team is deploying DataPower Gateway in a container platform. They need configuration and certificates to persist across pod restarts and to promote the same configuration through dev/test/prod with minimal manual steps. Which approach best meets these requirements?

A customer requires that management access to DataPower be isolated from application traffic and restricted to an internal network. They also want application services reachable from a DMZ network. What is the best design on the DataPower appliance/instance to meet these requirements?

You are configuring a new Multi-Protocol Gateway (MPGW) that must route requests to different backends based on a URL path segment and rewrite a header before forwarding. Which MPGW configuration approach is most appropriate?

A REST API on DataPower must enforce a maximum request payload size, validate JSON content, and return a clear error to the client when the payload is too large. What is the best way to implement this in a production-ready manner?

A team wants to promote a set of services from test to production while ensuring object dependencies (crypto objects, policies, and stylesheets) are included and environment-specific endpoints are adjusted during import. Which approach best supports this?

An HTTPS front-side handler must require mutual TLS (client certificate authentication). Only clients with certificates issued by a specific internal CA should be allowed. What configuration is required on DataPower?

A service must accept inbound requests with a JWT in the Authorization header, validate the token signature, and enforce that a specific claim (role) is present before routing to the backend. What is the most appropriate DataPower implementation pattern?

A company needs to allow inbound HTTPS from the internet while preventing disclosure of backend TLS details. The backend requires TLS with its own CA trust chain, and the company wants separate control of client-facing and server-facing TLS settings. Which configuration best meets this need?

Users report intermittent slow responses through DataPower. You suspect the issue is related to backend latency rather than DataPower processing. Which combination of DataPower diagnostics is most appropriate to confirm this with minimal disruption?

After a change, a service begins returning HTTP 500 errors only for certain requests. You need to identify which processing rule/action is failing and capture the context of the failing transaction without broadly impacting other services. What is the best approach?