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DevSecOps Engineer · 5-8 Years

Architecture, scalability, reliability, security, cost, and cross-team ownership.

Try each answer before revealing the suggested coaching answer.

← All DevSecOps Engineer levels

25 questions

01Design a scalable and secure approach for shift-left security in a mid-sized engineering organization.

A system-design answer

Say this first: shift-left security should be explained through its purpose, the boundary where it applies, and the evidence that shows it is working.

Use a real scenario

Imagine a production service that handles customer and employee data. The team must decide how to apply shift-left security, verify the result, and explain the user impact. For a DevSecOps Engineer, attach the explanation to a threat model and control evidence.

Show judgment

  • define boundaries, ownership, failure modes, and the operational feedback loop.
  • State the constraint that could change your decision, such as scale, data sensitivity, recovery target, or team ownership.
  • Call out excess privilege or an uncontained incident and the control that reduces it.

Concrete check

Review the least-privilege policy, then test the denied path as well as the allowed path.

Evidence to mention

Track coverage of critical controls and time to detect. Say what baseline you compared against, what would trigger a rollback or escalation, and who owns the follow-up.

request or change → guardrail / validation → shift-left security → observable result → owner review

Practice prompt: Show how the team uses threat model and control evidence rather than relying on an informal agreement.

Link to question 1
02What trade-offs would you consider while choosing a solution for SAST?

A system-design answer

Say this first: SAST should be explained through its purpose, the boundary where it applies, and the evidence that shows it is working.

Use a real scenario

Imagine a production service that handles customer and employee data. The team must decide how to apply SAST, verify the result, and explain the user impact. For a DevSecOps Engineer, attach the explanation to a threat model and control evidence.

Show judgment

  • define boundaries, ownership, failure modes, and the operational feedback loop.
  • State the constraint that could change your decision, such as scale, data sensitivity, recovery target, or team ownership.
  • Call out excess privilege or an uncontained incident and the control that reduces it.

Evidence to mention

Track coverage of critical controls and time to detect. Say what baseline you compared against, what would trigger a rollback or escalation, and who owns the follow-up.

request or change → guardrail / validation → SAST → observable result → owner review

Practice prompt: Show how the team uses threat model and control evidence rather than relying on an informal agreement.

Link to question 2
03How would you improve reliability, security, and cost around DAST?

A system-design answer

Say this first: DAST should be explained through its purpose, the boundary where it applies, and the evidence that shows it is working.

Use a real scenario

Imagine a production service that handles customer and employee data. The team must decide how to apply DAST, verify the result, and explain the user impact. For a DevSecOps Engineer, attach the explanation to a threat model and control evidence.

Show judgment

  • define boundaries, ownership, failure modes, and the operational feedback loop.
  • State the constraint that could change your decision, such as scale, data sensitivity, recovery target, or team ownership.
  • Call out excess privilege or an uncontained incident and the control that reduces it.

Evidence to mention

Track coverage of critical controls and time to detect. Say what baseline you compared against, what would trigger a rollback or escalation, and who owns the follow-up.

request or change → guardrail / validation → DAST → observable result → owner review

Practice prompt: Show how the team uses threat model and control evidence rather than relying on an informal agreement.

Link to question 3
04How would you review an existing implementation of SCA dependency scanning and identify design gaps?

A system-design answer

Say this first: SCA dependency scanning should be explained through its purpose, the boundary where it applies, and the evidence that shows it is working.

Use a real scenario

Imagine a production service that handles customer and employee data. The team must decide how to apply SCA dependency scanning, verify the result, and explain the user impact. For a DevSecOps Engineer, attach the explanation to a threat model and control evidence.

Show judgment

  • define boundaries, ownership, failure modes, and the operational feedback loop.
  • State the constraint that could change your decision, such as scale, data sensitivity, recovery target, or team ownership.
  • Call out excess privilege or an uncontained incident and the control that reduces it.

Evidence to mention

Track coverage of critical controls and time to detect. Say what baseline you compared against, what would trigger a rollback or escalation, and who owns the follow-up.

request or change → guardrail / validation → SCA dependency scanning → observable result → owner review

Practice prompt: Show how the team uses threat model and control evidence rather than relying on an informal agreement.

Link to question 4
05How would you handle failure scenarios related to SBOM at scale?

A system-design answer

Say this first: The important point about SBOM is how an engineer recognizes the unsafe path early and prevents it from becoming customer impact.

Use a real scenario

Imagine a production service that handles customer and employee data. The team must decide how to apply SBOM, verify the result, and explain the user impact. For a DevSecOps Engineer, attach the explanation to a threat model and control evidence.

Show judgment

  • define boundaries, ownership, failure modes, and the operational feedback loop.
  • Start with containment and evidence. Changing several variables at once makes the incident harder to understand.
  • Call out excess privilege or an uncontained incident and the control that reduces it.

Evidence to mention

Track coverage of critical controls and time to detect. Say what baseline you compared against, what would trigger a rollback or escalation, and who owns the follow-up.

request or change → guardrail / validation → SBOM → observable result → owner review

Practice prompt: Show how the team uses threat model and control evidence rather than relying on an informal agreement.

Link to question 5
06Design a scalable and secure approach for secrets scanning in a mid-sized engineering organization.

A system-design answer

Say this first: secrets scanning should be explained through its purpose, the boundary where it applies, and the evidence that shows it is working.

Use a real scenario

Imagine a production service that handles customer and employee data. The team must decide how to apply secrets scanning, verify the result, and explain the user impact. For a DevSecOps Engineer, attach the explanation to a threat model and control evidence.

Show judgment

  • define boundaries, ownership, failure modes, and the operational feedback loop.
  • State the constraint that could change your decision, such as scale, data sensitivity, recovery target, or team ownership.
  • Call out excess privilege or an uncontained incident and the control that reduces it.

Evidence to mention

Track coverage of critical controls and time to detect. Say what baseline you compared against, what would trigger a rollback or escalation, and who owns the follow-up.

request or change → guardrail / validation → secrets scanning → observable result → owner review

Practice prompt: Show how the team uses threat model and control evidence rather than relying on an informal agreement.

Link to question 6
07What trade-offs would you consider while choosing a solution for container image scanning?

A system-design answer

Say this first: container image scanning should be explained through its purpose, the boundary where it applies, and the evidence that shows it is working.

Use a real scenario

Imagine a production service that handles customer and employee data. The team must decide how to apply container image scanning, verify the result, and explain the user impact. For a DevSecOps Engineer, attach the explanation to a threat model and control evidence.

Show judgment

  • define boundaries, ownership, failure modes, and the operational feedback loop.
  • State the constraint that could change your decision, such as scale, data sensitivity, recovery target, or team ownership.
  • Call out excess privilege or an uncontained incident and the control that reduces it.

Concrete check

kubectl rollout status deployment/<service> --timeout=90s

Evidence to mention

Track coverage of critical controls and time to detect. Say what baseline you compared against, what would trigger a rollback or escalation, and who owns the follow-up.

request or change → guardrail / validation → container image scanning → observable result → owner review

Practice prompt: Show how the team uses threat model and control evidence rather than relying on an informal agreement.

Link to question 7
08How would you improve reliability, security, and cost around IaC scanning?

A system-design answer

Say this first: IaC scanning should be explained through its purpose, the boundary where it applies, and the evidence that shows it is working.

Use a real scenario

Imagine a production service that handles customer and employee data. The team must decide how to apply IaC scanning, verify the result, and explain the user impact. For a DevSecOps Engineer, attach the explanation to a threat model and control evidence.

Show judgment

  • define boundaries, ownership, failure modes, and the operational feedback loop.
  • State the constraint that could change your decision, such as scale, data sensitivity, recovery target, or team ownership.
  • Call out excess privilege or an uncontained incident and the control that reduces it.

Evidence to mention

Track coverage of critical controls and time to detect. Say what baseline you compared against, what would trigger a rollback or escalation, and who owns the follow-up.

request or change → guardrail / validation → IaC scanning → observable result → owner review

Practice prompt: Show how the team uses threat model and control evidence rather than relying on an informal agreement.

Link to question 8
09How would you review an existing implementation of policy as code and identify design gaps?

A system-design answer

Say this first: policy as code should be explained through its purpose, the boundary where it applies, and the evidence that shows it is working.

Use a real scenario

Imagine a production service that handles customer and employee data. The team must decide how to apply policy as code, verify the result, and explain the user impact. For a DevSecOps Engineer, attach the explanation to a threat model and control evidence.

Show judgment

  • define boundaries, ownership, failure modes, and the operational feedback loop.
  • State the constraint that could change your decision, such as scale, data sensitivity, recovery target, or team ownership.
  • Call out excess privilege or an uncontained incident and the control that reduces it.

Evidence to mention

Track coverage of critical controls and time to detect. Say what baseline you compared against, what would trigger a rollback or escalation, and who owns the follow-up.

request or change → guardrail / validation → policy as code → observable result → owner review

Practice prompt: Show how the team uses threat model and control evidence rather than relying on an informal agreement.

Link to question 9
10How would you handle failure scenarios related to risk-based quality gates at scale?

A system-design answer

Say this first: The important point about risk-based quality gates is how an engineer recognizes the unsafe path early and prevents it from becoming customer impact.

Use a real scenario

Imagine a production service that handles customer and employee data. The team must decide how to apply risk-based quality gates, verify the result, and explain the user impact. For a DevSecOps Engineer, attach the explanation to a threat model and control evidence.

Show judgment

  • define boundaries, ownership, failure modes, and the operational feedback loop.
  • Start with containment and evidence. Changing several variables at once makes the incident harder to understand.
  • Call out excess privilege or an uncontained incident and the control that reduces it.

Concrete check

npm test -- --runInBand

Evidence to mention

Track coverage of critical controls and time to detect. Say what baseline you compared against, what would trigger a rollback or escalation, and who owns the follow-up.

request or change → guardrail / validation → risk-based quality gates → observable result → owner review

Practice prompt: Show how the team uses threat model and control evidence rather than relying on an informal agreement.

Link to question 10
11Design a scalable and secure approach for CVSS vs exploitability in a mid-sized engineering organization.

A system-design answer

Say this first: CVSS vs exploitability is a choice between approaches with different strengths. The useful answer is the decision rule, not a dictionary definition.

Use a real scenario

Imagine a production service that handles customer and employee data. The team must decide how to apply CVSS vs exploitability, verify the result, and explain the user impact. For a DevSecOps Engineer, attach the explanation to a threat model and control evidence.

Show judgment

  • define boundaries, ownership, failure modes, and the operational feedback loop.
  • Choose the option that fits the workload and constraints; do not present one option as universally superior.
  • Call out excess privilege or an uncontained incident and the control that reduces it.

Evidence to mention

Track coverage of critical controls and time to detect. Say what baseline you compared against, what would trigger a rollback or escalation, and who owns the follow-up.

request or change → guardrail / validation → CVSS vs exploitability → observable result → owner review

Practice prompt: Show how the team uses threat model and control evidence rather than relying on an informal agreement.

Link to question 11
12What trade-offs would you consider while choosing a solution for vulnerability prioritization?

A system-design answer

Say this first: vulnerability prioritization should be explained through its purpose, the boundary where it applies, and the evidence that shows it is working.

Use a real scenario

Imagine a production service that handles customer and employee data. The team must decide how to apply vulnerability prioritization, verify the result, and explain the user impact. For a DevSecOps Engineer, attach the explanation to a threat model and control evidence.

Show judgment

  • define boundaries, ownership, failure modes, and the operational feedback loop.
  • State the constraint that could change your decision, such as scale, data sensitivity, recovery target, or team ownership.
  • Call out excess privilege or an uncontained incident and the control that reduces it.

Evidence to mention

Track coverage of critical controls and time to detect. Say what baseline you compared against, what would trigger a rollback or escalation, and who owns the follow-up.

request or change → guardrail / validation → vulnerability prioritization → observable result → owner review

Practice prompt: Show how the team uses threat model and control evidence rather than relying on an informal agreement.

Link to question 12
13How would you improve reliability, security, and cost around false positive triage?

A system-design answer

Say this first: false positive triage should be explained through its purpose, the boundary where it applies, and the evidence that shows it is working.

Use a real scenario

Imagine a production service that handles customer and employee data. The team must decide how to apply false positive triage, verify the result, and explain the user impact. For a DevSecOps Engineer, attach the explanation to a threat model and control evidence.

Show judgment

  • define boundaries, ownership, failure modes, and the operational feedback loop.
  • State the constraint that could change your decision, such as scale, data sensitivity, recovery target, or team ownership.
  • Call out excess privilege or an uncontained incident and the control that reduces it.

Evidence to mention

Track coverage of critical controls and time to detect. Say what baseline you compared against, what would trigger a rollback or escalation, and who owns the follow-up.

request or change → guardrail / validation → false positive triage → observable result → owner review

Practice prompt: Show how the team uses threat model and control evidence rather than relying on an informal agreement.

Link to question 13
14How would you review an existing implementation of secure Dockerfile and identify design gaps?

A system-design answer

Say this first: secure Dockerfile should be explained through its purpose, the boundary where it applies, and the evidence that shows it is working.

Use a real scenario

Imagine a production service that handles customer and employee data. The team must decide how to apply secure Dockerfile, verify the result, and explain the user impact. For a DevSecOps Engineer, attach the explanation to a threat model and control evidence.

Show judgment

  • define boundaries, ownership, failure modes, and the operational feedback loop.
  • State the constraint that could change your decision, such as scale, data sensitivity, recovery target, or team ownership.
  • Call out excess privilege or an uncontained incident and the control that reduces it.

Evidence to mention

Track coverage of critical controls and time to detect. Say what baseline you compared against, what would trigger a rollback or escalation, and who owns the follow-up.

request or change → guardrail / validation → secure Dockerfile → observable result → owner review

Practice prompt: Show how the team uses threat model and control evidence rather than relying on an informal agreement.

Link to question 14
15How would you handle failure scenarios related to Kubernetes security context at scale?

A system-design answer

Say this first: The important point about Kubernetes security context is how an engineer recognizes the unsafe path early and prevents it from becoming customer impact.

Use a real scenario

Imagine a production service that handles customer and employee data. The team must decide how to apply Kubernetes security context, verify the result, and explain the user impact. For a DevSecOps Engineer, attach the explanation to a threat model and control evidence.

Show judgment

  • define boundaries, ownership, failure modes, and the operational feedback loop.
  • Start with containment and evidence. Changing several variables at once makes the incident harder to understand.
  • Call out excess privilege or an uncontained incident and the control that reduces it.

Concrete check

kubectl rollout status deployment/<service> --timeout=90s

Evidence to mention

Track coverage of critical controls and time to detect. Say what baseline you compared against, what would trigger a rollback or escalation, and who owns the follow-up.

request or change → guardrail / validation → Kubernetes security context → observable result → owner review

Practice prompt: Show how the team uses threat model and control evidence rather than relying on an informal agreement.

Link to question 15
16Design a scalable and secure approach for network policies in a mid-sized engineering organization.

A system-design answer

Say this first: network policies should be explained through its purpose, the boundary where it applies, and the evidence that shows it is working.

Use a real scenario

Imagine a production service that handles customer and employee data. The team must decide how to apply network policies, verify the result, and explain the user impact. For a DevSecOps Engineer, attach the explanation to a threat model and control evidence.

Show judgment

  • define boundaries, ownership, failure modes, and the operational feedback loop.
  • State the constraint that could change your decision, such as scale, data sensitivity, recovery target, or team ownership.
  • Call out excess privilege or an uncontained incident and the control that reduces it.

Concrete check

journalctl -u <service> --since "15 min ago"

Evidence to mention

Track coverage of critical controls and time to detect. Say what baseline you compared against, what would trigger a rollback or escalation, and who owns the follow-up.

request or change → guardrail / validation → network policies → observable result → owner review

Practice prompt: Show how the team uses threat model and control evidence rather than relying on an informal agreement.

Link to question 16
17What trade-offs would you consider while choosing a solution for admission controllers?

A system-design answer

Say this first: admission controllers should be explained through its purpose, the boundary where it applies, and the evidence that shows it is working.

Use a real scenario

Imagine a production service that handles customer and employee data. The team must decide how to apply admission controllers, verify the result, and explain the user impact. For a DevSecOps Engineer, attach the explanation to a threat model and control evidence.

Show judgment

  • define boundaries, ownership, failure modes, and the operational feedback loop.
  • State the constraint that could change your decision, such as scale, data sensitivity, recovery target, or team ownership.
  • Call out excess privilege or an uncontained incident and the control that reduces it.

Evidence to mention

Track coverage of critical controls and time to detect. Say what baseline you compared against, what would trigger a rollback or escalation, and who owns the follow-up.

request or change → guardrail / validation → admission controllers → observable result → owner review

Practice prompt: Show how the team uses threat model and control evidence rather than relying on an informal agreement.

Link to question 17
18How would you improve reliability, security, and cost around IAM least privilege?

A system-design answer

Say this first: Least privilege grants only the access needed for a task, for only as long as it is needed, which reduces the impact of a compromised identity or mistaken action.

Use a real scenario

Imagine a production service that handles customer and employee data. The team must decide how to apply IAM least privilege, verify the result, and explain the user impact. For a DevSecOps Engineer, attach the explanation to a threat model and control evidence.

Show judgment

  • define boundaries, ownership, failure modes, and the operational feedback loop.
  • State the constraint that could change your decision, such as scale, data sensitivity, recovery target, or team ownership.
  • Call out excess privilege or an uncontained incident and the control that reduces it.

Evidence to mention

Track coverage of critical controls and time to detect. Say what baseline you compared against, what would trigger a rollback or escalation, and who owns the follow-up.

request or change → guardrail / validation → IAM least privilege → observable result → owner review

Practice prompt: Show how the team uses threat model and control evidence rather than relying on an informal agreement.

Link to question 18
19How would you review an existing implementation of secure CI/CD credentials and identify design gaps?

A system-design answer

Say this first: Continuous integration validates small changes frequently. Continuous delivery keeps a validated release ready to deploy; continuous deployment automatically releases changes that meet the agreed gates.

Use a real scenario

Imagine a production service that handles customer and employee data. The team must decide how to apply secure CI/CD credentials, verify the result, and explain the user impact. For a DevSecOps Engineer, attach the explanation to a threat model and control evidence.

Show judgment

  • define boundaries, ownership, failure modes, and the operational feedback loop.
  • State the constraint that could change your decision, such as scale, data sensitivity, recovery target, or team ownership.
  • Call out excess privilege or an uncontained incident and the control that reduces it.

Evidence to mention

Track coverage of critical controls and time to detect. Say what baseline you compared against, what would trigger a rollback or escalation, and who owns the follow-up.

request or change → guardrail / validation → secure CI/CD credentials → observable result → owner review

Practice prompt: Show how the team uses threat model and control evidence rather than relying on an informal agreement.

Link to question 19
20How would you handle failure scenarios related to OWASP Top 10 at scale?

A system-design answer

Say this first: The important point about OWASP Top 10 is how an engineer recognizes the unsafe path early and prevents it from becoming customer impact.

Use a real scenario

Imagine a production service that handles customer and employee data. The team must decide how to apply OWASP Top 10, verify the result, and explain the user impact. For a DevSecOps Engineer, attach the explanation to a threat model and control evidence.

Show judgment

  • define boundaries, ownership, failure modes, and the operational feedback loop.
  • Start with containment and evidence. Changing several variables at once makes the incident harder to understand.
  • Call out excess privilege or an uncontained incident and the control that reduces it.

Evidence to mention

Track coverage of critical controls and time to detect. Say what baseline you compared against, what would trigger a rollback or escalation, and who owns the follow-up.

request or change → guardrail / validation → OWASP Top 10 → observable result → owner review

Practice prompt: Show how the team uses threat model and control evidence rather than relying on an informal agreement.

Link to question 20
21Design a scalable and secure approach for API security testing in a mid-sized engineering organization.

A system-design answer

Say this first: API security testing should be explained through its purpose, the boundary where it applies, and the evidence that shows it is working.

Use a real scenario

Imagine a production service that handles customer and employee data. The team must decide how to apply API security testing, verify the result, and explain the user impact. For a DevSecOps Engineer, attach the explanation to a threat model and control evidence.

Show judgment

  • define boundaries, ownership, failure modes, and the operational feedback loop.
  • State the constraint that could change your decision, such as scale, data sensitivity, recovery target, or team ownership.
  • Call out excess privilege or an uncontained incident and the control that reduces it.

Concrete check

npm test -- --runInBand

Evidence to mention

Track coverage of critical controls and time to detect. Say what baseline you compared against, what would trigger a rollback or escalation, and who owns the follow-up.

request or change → guardrail / validation → API security testing → observable result → owner review

Practice prompt: Show how the team uses threat model and control evidence rather than relying on an informal agreement.

Link to question 21
22What trade-offs would you consider while choosing a solution for threat modeling?

A system-design answer

Say this first: threat modeling should be explained through its purpose, the boundary where it applies, and the evidence that shows it is working.

Use a real scenario

Imagine a production service that handles customer and employee data. The team must decide how to apply threat modeling, verify the result, and explain the user impact. For a DevSecOps Engineer, attach the explanation to a threat model and control evidence.

Show judgment

  • define boundaries, ownership, failure modes, and the operational feedback loop.
  • State the constraint that could change your decision, such as scale, data sensitivity, recovery target, or team ownership.
  • Call out excess privilege or an uncontained incident and the control that reduces it.

Evidence to mention

Track coverage of critical controls and time to detect. Say what baseline you compared against, what would trigger a rollback or escalation, and who owns the follow-up.

request or change → guardrail / validation → threat modeling → observable result → owner review

Practice prompt: Show how the team uses threat model and control evidence rather than relying on an informal agreement.

Link to question 22
23How would you improve reliability, security, and cost around security exception process?

A system-design answer

Say this first: security exception process should be explained through its purpose, the boundary where it applies, and the evidence that shows it is working.

Use a real scenario

Imagine a production service that handles customer and employee data. The team must decide how to apply security exception process, verify the result, and explain the user impact. For a DevSecOps Engineer, attach the explanation to a threat model and control evidence.

Show judgment

  • define boundaries, ownership, failure modes, and the operational feedback loop.
  • State the constraint that could change your decision, such as scale, data sensitivity, recovery target, or team ownership.
  • Call out excess privilege or an uncontained incident and the control that reduces it.

Concrete check

Review the least-privilege policy, then test the denied path as well as the allowed path.

Evidence to mention

Track coverage of critical controls and time to detect. Say what baseline you compared against, what would trigger a rollback or escalation, and who owns the follow-up.

request or change → guardrail / validation → security exception process → observable result → owner review

Practice prompt: Show how the team uses threat model and control evidence rather than relying on an informal agreement.

Link to question 23
24How would you review an existing implementation of incident response in pipeline and identify design gaps?

A system-design answer

Say this first: incident response in pipeline should be explained through its purpose, the boundary where it applies, and the evidence that shows it is working.

Use a real scenario

Imagine a production service that handles customer and employee data. The team must decide how to apply incident response in pipeline, verify the result, and explain the user impact. For a DevSecOps Engineer, attach the explanation to a threat model and control evidence.

Show judgment

  • define boundaries, ownership, failure modes, and the operational feedback loop.
  • State the constraint that could change your decision, such as scale, data sensitivity, recovery target, or team ownership.
  • Call out excess privilege or an uncontained incident and the control that reduces it.

Concrete check

SELECT COUNT(*) AS rows, MAX(loaded_at) AS freshest FROM <table>;

Evidence to mention

Track coverage of critical controls and time to detect. Say what baseline you compared against, what would trigger a rollback or escalation, and who owns the follow-up.

request or change → guardrail / validation → incident response in pipeline → observable result → owner review

Practice prompt: Show how the team uses threat model and control evidence rather than relying on an informal agreement.

Link to question 24
25How would you handle failure scenarios related to developer security enablement at scale?

A system-design answer

Say this first: The important point about developer security enablement is how an engineer recognizes the unsafe path early and prevents it from becoming customer impact.

Use a real scenario

Imagine a production service that handles customer and employee data. The team must decide how to apply developer security enablement, verify the result, and explain the user impact. For a DevSecOps Engineer, attach the explanation to a threat model and control evidence.

Show judgment

  • define boundaries, ownership, failure modes, and the operational feedback loop.
  • Start with containment and evidence. Changing several variables at once makes the incident harder to understand.
  • Call out excess privilege or an uncontained incident and the control that reduces it.

Concrete check

Review the least-privilege policy, then test the denied path as well as the allowed path.

Evidence to mention

Track coverage of critical controls and time to detect. Say what baseline you compared against, what would trigger a rollback or escalation, and who owns the follow-up.

request or change → guardrail / validation → developer security enablement → observable result → owner review

Practice prompt: Show how the team uses threat model and control evidence rather than relying on an informal agreement.

Link to question 25

Further reading

These are original practice questions and suggested answers. Adapt them to your own work and explain evidence, trade-offs, and limitations.