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CV0-004 Practice Question: Which deployment strategy minimizes risk by…

Which deployment strategy minimizes risk by gradually shifting a small percentage of traffic to a new version before full rollout?

⚠ Common exam trap

CompTIA often tests the distinction between canary and rolling deployments, where candidates mistakenly think rolling deployment also uses a small traffic percentage, but rolling updates instances sequentially without the deliberate traffic-splitting and validation phase that defines a canary.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

Canary deployment

A canary deployment minimizes risk by routing a small percentage of traffic (e.g., 5-10%) to the new version while the majority continues to use the stable version. This allows real-world validation of the new version under production load before a full rollout, and if issues are detected, traffic can be instantly redirected back to the old version. The strategy is named after the 'canary in a coal mine' concept, where early detection of problems prevents widespread impact.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✓

    Canary deployment

    Why this is correct

    A canary deployment routes a small, controlled percentage of live traffic to the new version while the majority continues to the stable release. Monitoring that subset exposes defects with limited blast radius, allowing rollback before full rollout, which is precisely the gradual, risk-minimising shift the question describes.

  • ✗

    In-place deployment

    Why it's wrong here

    In-place deployment updates the existing instances directly, so the new version receives all traffic immediately and rollback requires redeployment. It suits simple environments where downtime and full exposure are acceptable, not gradual traffic shifting to limit risk.

  • ✗

    Rolling deployment

    Why it's wrong here

    Rolling deployment replaces instances in batches, so old and new versions coexist but traffic is not deliberately weighted to a small percentage for evaluation. It suits zero-downtime updates of stateless fleets, not controlled canary-style risk reduction with measured traffic shifting.

  • ✗

    Blue-green deployment

    Why it's wrong here

    Blue-green runs two full environments and switches all traffic at once after testing, so no small percentage reaches the new version during validation. It suits instant cutover with rapid rollback, not gradual percentage-based exposure of a new version.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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