Technical practice
How would you structure a ServiceNow feature using JavaScript and a Scoped Application?
What to coverSuggested practice: Explain how you would organize platform logic and account for data models, Business Rules, client scripts and UI policies. Discuss how you would test behavior and avoid unnecessary coupling.
How would you approach configuring Now Assist for an AI-enabled feature?
What to coverSuggested practice: Start with the feature’s intended use and explain how you would validate its responses before release. Address quality, secure engineering and Responsible AI considerations without assuming a particular implementation.
How would you design and troubleshoot a Virtual Agent interaction?
What to coverSuggested practice: Describe the user goal, the conversation path and how you would detect an unhelpful or incorrect response. Explain what evidence you would use to decide whether to revise the interaction.
How would you evaluate changes to AI Search tuning?
What to coverSuggested practice: Describe representative queries and criteria for judging whether results are useful. Discuss the trade-off between improving relevance for known queries and checking that other queries have not degraded.
How would you divide a workflow across App Engine Studio, Flow Designer and IntegrationHub?
What to coverSuggested practice: Walk through a plausible ServiceNow workflow and explain which responsibilities you would place in each named tool. Describe how you would validate the workflow end to end.
How would you design and troubleshoot a ServiceNow integration?
What to coverSuggested practice: Compare when SOAP or REST might be appropriate and explain how you would investigate an authentication or connectivity failure. Include the relevance of MID Server, OAuth or SAML where applicable, without assuming the role uses a specific architecture.
How would you apply an agentic pattern to workflow automation or developer assistance?
What to coverSuggested practice: Define the task, the actions the system may take and the points at which its output needs validation. Discuss trade-offs between automation, reliability and human oversight.
How would you write prompts and evaluators for an LLM-enabled feature?
What to coverSuggested practice: Explain how you would specify the intended behavior, build representative test cases and choose evaluation metrics. Address how you would investigate failures rather than relying on a few convincing examples.
How would you assess whether RAG is useful for a ServiceNow AI feature?
What to coverSuggested practice: Explain retrieval, vector search and generation at a conceptual level, then describe how you would test whether retrieved material improves answers. Discuss possible failure points in retrieval or orchestration; the posting asks for a basic understanding, not a specific framework.
What checks would you use before shipping an AI-enabled ServiceNow change?
What to coverSuggested practice: Outline testing for feature behavior, AI output quality and integration failures. Explain how secure engineering and Responsible AI checks would inform a release decision.
Behavioural practice
Tell me about a time you worked with architects and product owners to resolve a technical disagreement.
What to coverSuggested practice: Use a real situation, the actions you took to clarify priorities and the result. Focus on how you communicated trade-offs and reached a workable decision.
Describe a code review in which you helped improve solution quality.
What to coverSuggested practice: Give the situation, the specific feedback or change you contributed and the result. Explain how you kept the review constructive and verified the concern.
Tell me about a difficult defect you investigated with limited initial information.
What to coverSuggested practice: Describe the situation, how you narrowed down the cause and the result. Highlight the checks that prevented a superficial fix or a missed edge case.
Describe a time changing priorities required you to adjust work during a sprint.
What to coverSuggested practice: State what changed, how you coordinated with others and what resulted. Explain how you managed the trade-off between speed and quality in a client-focused setting.
Tell me about a time you had to learn an unfamiliar capability to deliver work.
What to coverSuggested practice: Give a real situation, the steps you took to learn and validate your approach, and the result. Keep the example focused on curiosity and continuous learning rather than claiming expertise you did not have.