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Technical interview guide

Proof-of-Concept Design

Scoping a POC narrowly enough to prove the riskiest assumption, without building a miniature version of the whole system.

Read
40 min
Practice MCQs
25
Interview QA
25
Edition
v4
Editorial status
Reviewed

Scope: AWS and Azure architecture and experimentation guidance plus Google Cloud load-testing and deployment guidance current 2026-08-31.

Interview QA

Treat each question like a live interview question: answer out loud first (structure, assumptions, tradeoffs), then open the model answer to spot gaps and rehearse a tighter follow-up.

Curated: · Written: · Reviewed:

QA-1

Design entry, exit, and stop criteria for a PoC.

QA-2

Evaluate a vendor-run PoC proposal.

QA-3

Design a PoC for a high-throughput event platform.

QA-4

Design a database migration PoC.

QA-5

Plan a safe PoC using sensitive-domain data.

QA-6

Prevent a successful prototype from becoming unsafe production code.

QA-7

Design a PoC for an AI-assisted workflow.

QA-8

Handle a PoC that misses one exit criterion narrowly.

QA-9

Diagnose why a PoC and production result diverged.

QA-10

Design failure simulation for a PoC.

QA-11

Build a reproducibility package for a PoC.

QA-12

Time-box a PoC without cutting essential evidence.

QA-13

Choose between a spike, PoC, prototype, pilot, and MVP.

QA-14

Evaluate usability in a technical PoC.

QA-15

Model PoC cost and commercial risk.

QA-16

Design a PoC decision report.

QA-17

Decide whether an inconclusive PoC merits a follow-up.

QA-18

Productionize a PoC result safely.

QA-19

Test an integration dependency in a PoC.

QA-20

Design a PoC for disaster recovery feasibility.

QA-21

Handle unexpected findings outside the PoC hypothesis.

QA-22

Assess whether a PoC workload is representative.

QA-23

Design observability for a PoC.

QA-24

Close and archive a PoC.

QA-25

Review a request to 'just demo something' before discovery.