Continuous Delivery Pipeline and DevOps Flashcards
6 cards from real SAFE practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 Continuous Delivery Pipeline and DevOps flashcards as text
What are the four aspects of the SAFe Continuous Delivery Pipeline?
Answer: Continuous Exploration, Continuous Integration, Continuous Deployment, Release on Demand
SAFe's Continuous Delivery Pipeline consists of Continuous Exploration (CE), Continuous Integration (CI), Continuous Deployment (CD), and Release on Demand.
What is the purpose of 'Continuous Exploration (CE)' in the SAFe Continuous Delivery Pipeline?
Answer: Continuously researching customer needs, market dynamics, and emerging technologies to shape the backlog
CE is the ongoing process of hypothesizing, researching, and discovering customer needs to fill the Program Backlog with high-value Features.
In SAFe, what does 'Continuous Integration (CI)' require teams to do?
Answer: Frequently integrate code changes into a shared mainline with automated build and test verification
CI requires developers to integrate code into the shared mainline multiple times daily, with automated builds and tests catching integration failures immediately.
What is the difference between 'Continuous Deployment' and 'Release on Demand' in SAFe?
Answer: Continuous Deployment pushes to production automatically; Release on Demand activates features for customers when the business decides
CD deploys code to production continuously, while Release on Demand is the business decision to make features available to customers — often enabled by feature toggles.
What is the 'CALMR' approach in SAFe's DevOps health radar?
Answer: Culture, Automation, Lean Flow, Measurement, Recovery — five dimensions of DevOps health
CALMR is SAFe's DevOps framework: Culture (collaboration), Automation (CI/CD), Lean Flow (reduce WIP), Measurement (outcomes), Recovery (fast failure recovery).
What does 'Hypothesis-Driven Development' mean in SAFe's Continuous Exploration?
Answer: Framing features as hypotheses, testing them with users, and using data to decide whether to pivot or persevere
Hypothesis-Driven Development treats each feature as an experiment — defining the hypothesis, measuring outcomes, and pivoting or persevering based on real data.