Synthetic control builds a weighted combination of donor units to mirror the ______ period of the treated unit.
forecast
future
post‑test
pre‑intervention
Weights in synthetic control are chosen to minimise ______ error.
post‑period MAPE
p‑value
pre‑period RMSPE
lift
The causal effect is computed as treated minus ______ outcome after intervention.
control group average
global mean
time trend
synthetic
Placebo tests iterate each donor unit as if treated to create a ______ distribution.
posterior
uniform
gamma
null
Synthetic control is well‑suited when you have ______ treated unit(s) and many controls.
a single
zero
hundreds
clustered
Predictor variables often include lagged outcomes and relevant ______ factors.
creative IDs
cookie IDs
hashes
exogenous
BSTS (Bayesian structural time series) offers a probabilistic alternative but shares the goal of building a ______ counter‑factual.
polynomial
synthetic
frequency‑domain
linear
The open‑source **SynthPy 2.0** library released in 2025 adds automated ______ selection.
creative
geo
variable and weight
cookie
A permutation p‑value is the share of placebo gaps that exceed the treated unit’s ______.
CTR
ad spend
variance
post‑period RMSPE
Synthetic control replaces parallel‑trends with a requirement of good pre‑period ______.
fit
color
p‑value
heteroskedasticity
Starter
Review the basics.
Solid
Good job—refine for mastery.
Expert!
Outstanding performance.
As you prepare Synthetic Control Basics Interview Questions, you’ll discover how to craft a virtual control group when a traditional holdout isn’t available. A great first step is to explore these Attribution & Marketing Mix Modelling interview questions to see how synthetic control techniques fit within broader mix models. Then test your knowledge with the data-driven attribution MCQs, dive into the Google Ads DDA signals practice questions for hands-on insights, and round off your prep by checking out the Facebook conversion lift interview guide to master lift measurement in social campaigns.
