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DevOps and Release on Demand Flashcards

6 cards from real RTE practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 6 DevOps and Release on Demand flashcards as text
  1. What is a 'dark launch' in DevOps and why is it useful for the ART?

    Answer: Deploying a feature to production in a hidden state to test performance and behavior before activating it for users

    A dark launch deploys code to production without activating it for users, allowing the ART to test performance and behavior at scale before a full release.

  2. What is a Kanban system and how does it support ART DevOps practices?

    Answer: A visual workflow management system that limits WIP and makes the flow of work and blockers visible

    Kanban visualizes workflow, limits WIP, and makes bottlenecks and blockers visible, helping the ART identify and resolve flow impediments in its delivery pipeline.

  3. What is the relationship between technical debt and DevOps in SAFe?

    Answer: Unmanaged technical debt slows delivery, degrades quality, and makes continuous delivery increasingly difficult over time

    Accumulated technical debt degrades code quality and makes the Continuous Delivery Pipeline slower and less reliable, so the RTE should advocate for regular enabler work to pay it down.

  4. What is 'infrastructure as code' (IaC) and how does it support Release on Demand?

    Answer: The practice of managing and provisioning infrastructure through code, enabling repeatable, automated environment creation

    IaC enables the ART to provision and manage environments automatically and consistently, reducing manual errors and supporting rapid, reliable deployments.

  5. What does the RTE focus on when assessing ART DevOps maturity?

    Answer: The ART's ability to deploy on demand, the quality of its automated test coverage, and the speed of its delivery pipeline

    DevOps maturity assessment focuses on deployment frequency, automated test coverage, pipeline speed, and the ART's ability to release on demand with quality and confidence.

  6. What is the significance of 'mean time to restore' (MTTR) for an ART?

    Answer: It measures how quickly the ART can recover from a production failure, indicating operational resilience

    MTTR measures how quickly the ART can recover from production failures, reflecting the maturity of its DevOps practices, monitoring, and incident response capabilities.

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Sources & references

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  1. support.scaledagile.com — Test delivery, eligibility, fees, time limit, renewal, exam information · verified Nov 2026