IBM A1000-137 Practice Exam 2025: Latest Questions

A team is designing a virtual agent that must answer FAQs and also perform account-specific actions (e.g., “reset my password”) after verifying the user. Which architecture best separates conversational understanding from secure transaction execution?

A developer wants to extract people, organizations, and locations from unstructured text and normalize them for downstream analytics. Which Watson capability is the best fit?

A data scientist notices that a classification model performs well in the lab but poorly in production because real user inputs differ significantly from the training set. Which action best addresses this issue?

A production Watson-based application must keep serving user requests even if one instance of a service crashes. Which operational practice most directly supports this requirement?

A company wants a customer support chatbot to answer questions from a large and frequently updated policy document repository. Users also ask follow-up questions that depend on conversation context. Which design is most appropriate?

A team uses Watson Assistant with a webhook integration to call an order-status API. Intermittently, users receive generic error messages even though the backend API is healthy. Logs show the webhook returns a 200 response with malformed JSON. What is the most likely root cause?

A project includes labeled text data containing customer names, emails, and account numbers. The team must train an NLP model while reducing privacy risk and meeting governance requirements. Which approach is the best practice?

After deploying a model behind an API, the operations team observes occasional spikes in latency and timeouts during peak traffic. The service otherwise functions correctly. Which mitigation is most appropriate?

A regulated enterprise needs an end-to-end cognitive solution that ensures: (1) all user interactions are auditable, (2) model decisions can be explained to auditors, and (3) changes to models are controlled and reproducible. Which combination of practices best satisfies these requirements?

A Watson Discovery-based search application returns many irrelevant results because documents contain repeated boilerplate text (headers, legal footers, navigation elements) that dominates ranking. What is the most effective remediation?

A retail client wants a customer-facing chatbot that can answer questions from a published policy knowledge base and also create a support ticket when the user requests escalation. Which architecture best satisfies this requirement?

A team is building an application that must detect the language of incoming customer emails and extract key entities (people, organizations, locations) for routing. Which Watson service is the best fit?

During a Proof of Technology, the sponsor requests a clear way to measure whether the cognitive solution is improving over time. Which deliverable best meets this need?

A Watson Assistant implementation shows many users asking the same question in multiple different ways, but the assistant frequently fails to match to the correct intent. Which remediation is most appropriate?

A financial services client requires that no personally identifiable information (PII) is logged in application traces, but they still need enough telemetry to troubleshoot issues. Which approach is recommended?

An application calls a Watson API and intermittently receives HTTP 429 responses during peak traffic. What is the best operational response?

A team is designing a document ingestion pipeline for Watson Discovery. They need to ensure that new and updated documents are searchable quickly while also supporting rollback if a bad batch is ingested. Which design is most appropriate?

A solution must integrate multiple Watson services and several enterprise systems. The client asks for an approach that minimizes coupling and simplifies future replacement of any single service. What is the best architectural recommendation?

After deploying a Watson Assistant to production, users report that answers occasionally come from outdated policy documents even though updated content exists. The Discovery collection shows both old and new documents. What is the most likely root cause and best fix?

A healthcare client requires high availability for a cognitive application that uses Watson services. The application must continue operating even if one zone fails, and it must avoid losing in-flight conversational context. Which design best meets these requirements?

A customer-support team wants an assistant that can answer FAQs but must refuse requests that involve account-specific data unless the user is authenticated. Which architecture approach best meets this requirement?

A team is building a multilingual chatbot. They want to detect the user’s language automatically and then route the message to the correct dialog flow per language. What is the most appropriate first step in the request pipeline?

A data scientist notices their text classification model performs well on the training set but significantly worse on new customer emails. Which action best addresses the likely root cause?

An enterprise deploys an AI service that must meet strict audit requirements. They need to trace each response back to the input prompt, model version, and key configuration used at the time, without storing sensitive raw text in logs. Which operational design best satisfies this?

A Watson Assistant integration intermittently fails in production with timeouts when calling an external order-status API. The API team confirms occasional slow responses during peak traffic. What is the best improvement to the assistant’s integration layer to increase resilience?