Rolling deployments ramp traffic to reduce risk, while holdbacks preserve a control to measure long-run impact. See how to execute both with rigor.
A rolling (graduated) rollout typically increases treatment traffic in planned ______.
one instant jump to 100%
random leaps only
unbounded spikes
stages (e.g., 1%→5%→25%→50%→100%)
Sticky assignment during rollout prevents users from ______ buckets across visits.
encrypting
compressing
caching
switching between
An always-on holdback keeps a small share (e.g., 1–5%) on control to estimate ______ drift.
CSS
pixel
GPU
long-term
Guardrail metrics during ramps are used to detect ______ issues quickly.
image aliasing
font ligature
safety or performance
hex color
Geo-based ramping is useful when treatments are hard to randomize at the ______ level.
user
port
pixel
byte
A kill switch in the feature flag allows teams to ______ the change instantly if metrics tank.
recolor
dither
minify
roll back
During ramping, analysts often compare cohorts by first-exposure date to separate novelty from ______ performance.
steady-state
vector
lossless
rendered
Holdbacks should be ______ to avoid vendor or channel bias in the control.
representative of traffic mix
weekend-only
mobile-only
image-only
When moving from 50% to 100%, one risk is sample pollution if prior control users are ______.
SVG optimized
migrated mid-measurement
DNS cached
gzip-compressed
Difference-in-differences or CUPED can improve precision during ramps by using ______ information.
favicon size
CSS classes
RGB codes
pre-experiment baseline
Starter
New to rolling deployments & holdbacks? Review the basics and try a few small, low-risk tests.
Solid
Good grasp of rolling deployments & holdbacks. Tighten design choices and deepen your analysis habits.
Expert!
Excellent command of rolling deployments & holdbacks. You are ready for scaled rollouts and mentoring others.
