Technical practice
How would you decide between a UI policy, client script and Business Rule for a ServiceNow requirement?
What to coverSuggested preparation: Explain where each runs, how it interacts with the data model, and how you would avoid relying on client-side behaviour for server-side validation. The posting names these platform components and calls for strong JavaScript fundamentals.
How would you configure and validate a Now Assist feature before release?
What to coverSuggested preparation: Describe the intended user task, configuration choices, and tests for useful and incorrect responses. Include how you would check quality and secure handling of data; the posting calls for Now Assist configuration and production-ready solutions.
How would you design a Virtual Agent interaction that hands off when automation cannot resolve a request?
What to coverSuggested preparation: Discuss the conversation path, information needed to proceed, and a clear fallback when the request is ambiguous or unresolved. This is a design exercise based on the posting’s Virtual Agent work, not a stated employer scenario.
How would you evaluate and tune AI Search results in ServiceNow?
What to coverSuggested preparation: Describe representative queries, relevance judgments, and checks for missing or inappropriate results. Explain how you would compare changes against a baseline rather than relying on a few successful searches.
How would you structure a scoped ServiceNow application with App Engine Studio, Flow Designer and IntegrationHub?
What to coverSuggested preparation: Explain which responsibilities belong in the application, flows and integrations, and how you would keep the design maintainable. The posting names these tools and Scoped Applications; a specific application architecture is not prescribed.
How would you troubleshoot a failing ServiceNow integration?
What to coverSuggested preparation: Walk through isolating request, authentication, network and response-handling failures without exposing sensitive data. Be ready to distinguish where REST or SOAP, MID Server, OAuth or SAML might be relevant; the posting asks for awareness of these mechanisms, not mastery of every one.
Where would agentic automation help a ServiceNow workflow, and where would you constrain it?
What to coverSuggested preparation: Define the task, available actions, stopping conditions and checks before consequential actions. The posting mentions agentic patterns for workflow automation and developer assistance, so discuss both usefulness and control rather than assuming unrestricted autonomy.
How would you write and evaluate a prompt for an AI-enabled feature?
What to coverSuggested preparation: Explain how you would specify the task and acceptable output, then build an evaluator using representative normal and failure cases. Discuss metrics appropriate to the task and how you would use evaluation results to revise the prompt.
What would you assess before using RAG and vector search for a ServiceNow use case?
What to coverSuggested preparation: Cover retrieval relevance, source quality, access controls and how retrieved material affects generated answers. The posting asks for a basic understanding of RAG, vector search and orchestration frameworks; a particular implementation is not specified.
What checks would make an AI-enabled ServiceNow change ready for production?
What to coverSuggested preparation: Describe functional and integration tests alongside AI-output evaluation, secure engineering checks and Responsible AI considerations. Explain how you would use failures found in testing or code review to improve the solution before release.
Behavioural practice
Tell me about a time you aligned different stakeholders on an implementation decision.
What to coverSuggested preparation: Use a real situation involving differing priorities, your actions to clarify the trade-offs, and the result. The posting describes collaboration with architects and product owners in agile pods.
Describe a code review that led you to improve a change.
What to coverSuggested preparation: Give the situation, the feedback you received or raised, the action you took, and the result for quality or maintainability. Keep the example grounded in your actual experience rather than assuming a particular review process at Accenture.
Tell me about a difficult defect you investigated under delivery pressure.
What to coverSuggested preparation: Explain the symptoms, how you narrowed the cause, what you changed, and the outcome. Choose an example that shows problem-solving and attention to detail, both emphasized in the posting.
Describe a time you had to learn an unfamiliar capability to deliver work.
What to coverSuggested preparation: State the delivery context, how you learned and applied the capability, and what resulted. This addresses the posting’s emphasis on adaptability, curiosity and continuous learning without assuming which technology you used.
Tell me about a time you raised a security, compliance or AI-risk concern.
What to coverSuggested preparation: Describe the situation, how you communicated and addressed the concern, and the result. If you do not have an AI-specific example, use a genuine secure-engineering or compliance example and explain the relevant principle rather than inventing one.