50 IBM Assessment: Cognitive Solutions V1 Practice Questions: Question Bank 2025

A team wants to add a chatbot to answer common customer questions using curated FAQs and policy documents. They want the bot to cite passages from the source documents in its answers. Which Watson capability best fits this requirement?

A business analyst needs to classify short support tickets into categories (e.g., Billing, Technical, Account) without writing code. Which Watson approach is most appropriate?

A call center wants to automatically transcribe live customer calls and display the text to agents in near real time. Which Watson service should be used?

A solution architect is designing a cognitive assistant for internal IT helpdesk. The assistant must ask follow-up questions and maintain context across multiple turns (e.g., device type, OS, error code). Which design element is MOST important to support this behavior?

A team integrated a Discovery-based search into a web app. Users complain that results are relevant but not ordered the way they expect for different roles (HR vs. Legal). What is the BEST next step to improve relevance ranking by audience?

A developer reports that calls to a Watson API intermittently fail with authorization errors in production but work locally. The application is deployed as containers and uses environment variables for credentials. Which is the MOST likely root cause?

A cognitive solution must process customer emails, extract key entities (order number, product, location), and then route the case to the right workflow system. Which architecture is MOST appropriate?

A team is building a multilingual assistant. They plan to keep the dialog logic in one language but support users in several languages. Which integration pattern is MOST appropriate?

A company is deploying a cognitive solution that uses multiple Watson APIs. Security requires that no long-lived credentials are stored in application code or container images, and access must be auditable. Which approach BEST meets this requirement?

A team fine-tuned a document retrieval solution, but users report that the system answers confidently even when the documents do not contain relevant information. The team wants to reduce incorrect answers and provide safer responses. What is the BEST design change?

A team is building a customer support chatbot and wants to detect when a user is angry or frustrated so the conversation can be escalated to a human agent. Which Watson capability best addresses this requirement?

A solution must store and retrieve chat conversation history, along with metadata (userId, channel, timestamps) and allow flexible queries over that data. Which storage option is the best fit?

When exposing a Watson-powered API to multiple internal applications, which practice best helps prevent leaking sensitive credentials?

A call center assistant must answer questions using a large set of PDF manuals. The team wants the system to return the most relevant passages with citations. Which approach is most appropriate?

A chatbot is deployed across web and mobile. Users often ask ambiguous questions like "Can I change it?" The team wants the bot to request clarification when confidence is low. What is the best design pattern?

A team notices that adding more training examples to one intent causes the model to incorrectly classify unrelated user inputs into that intent. What is the most likely root cause?

A backend service calling Watson intermittently times out during traffic spikes. The team wants to improve reliability without changing Watson service configuration. Which solution is recommended?

A Watson-based assistant must comply with internal policy requiring that personally identifiable information (PII) is not sent to external services unless necessary. What is the best approach?

A team built a virtual agent that uses Discovery to answer FAQs. Stakeholders want measurable improvements and ask for a plan to tune relevance. Which activity is the most effective for optimizing answer quality?

An enterprise needs a secure architecture where mobile clients interact with a Watson-powered assistant. Security policy prohibits placing Watson credentials on the client and requires centralized access control and auditing. Which architecture best meets these constraints?

A team wants to quickly prototype a chatbot that can answer common HR questions and escalate to a human agent when confidence is low. Which Watson capability best fits this need?

A customer service bot must support English and Spanish. The team wants to minimize duplicated dialog logic while still returning answers in the user’s language. What is the recommended design approach?

A developer calls a Watson service API from a web browser and receives a CORS error. The API call works from a server-side script. What is the best practice to resolve this while keeping credentials secure?

A Watson Discovery project returns irrelevant passages because documents include navigation menus, headers, and footers repeated on every page. What action most directly improves result quality?

A solution uses Watson Assistant for conversation and Watson Discovery to answer policy questions from PDFs. Users report that the bot sometimes answers from outdated policy documents. What is the most appropriate design to prevent this?

An application integrates with multiple Watson services and experiences intermittent timeouts during peak traffic. Which change best improves resiliency without changing the services themselves?

A team is building a voice-enabled assistant for a noisy call center. They notice many transcription errors for industry-specific terms. What is the most effective next step?

A Watson Assistant skill is frequently misunderstanding two similar intents (e.g., 'reset password' vs 'unlock account'). Which improvement is most likely to reduce confusion?

A regulated enterprise requires that conversation logs exclude personally identifiable information (PII) while still allowing analytics on intent usage and drop-off points. What is the best approach?

A solution must answer questions from both structured data (order status in a database) and unstructured content (shipping policy documents). Which architecture best supports accurate responses with clear source attribution?

A travel company wants to add a chatbot that can answer questions like “What’s my baggage allowance?” using content from its public website and policy PDFs. They want minimal custom ML training and fast time-to-value. Which Watson service is the best fit?

A team wants to ensure their conversational assistant can recognize multiple phrasings for the same user request (e.g., “reset password”, “forgot password”, “can’t log in”). What is the recommended approach in Watson Assistant?

During integration testing, a developer receives HTTP 401 (Unauthorized) when calling a Watson API from a microservice. Other endpoints in the microservice work correctly. Which is the most likely cause?

A healthcare organization must prevent sensitive information from being logged when users chat with a virtual agent. Which practice best addresses this requirement?

A retail assistant needs to handle orders and returns. For returns, the assistant must capture a return reason and a preferred pickup date from the user, then confirm the details. Which design element is most appropriate?

A company integrates a web chat client with Watson Assistant. They want to maintain conversation context when the same user refreshes the browser or returns later. Which approach is most appropriate?

After deploying a Discovery-backed search experience, users report that relevant documents exist but are ranked too low. What is the most appropriate next step to improve results?

A customer support bot must route a user to a human agent when the assistant’s confidence is low or when the user is frustrated. Which design best supports this requirement?

A regulated enterprise wants to audit all calls made from applications to Watson services, including which user initiated the call and what operation was invoked, without storing sensitive payload content. Which approach best meets this requirement?

A team is building a conversational solution that must handle both: (1) deterministic business workflows (check order status, update address) and (2) open-ended questions answered from policy documents. Which architecture is most appropriate?

A team wants to add a chatbot to their intranet that answers policy questions by searching a curated set of HR documents (PDFs and web pages) and returning cited passages. Which Watson capability best fits this requirement?

A developer is testing a Watson service locally and is concerned about accidentally committing secrets to source control. What is the recommended way to manage service credentials during development?

A customer wants sentiment and keyword insights from social media posts. They have no labeled training data and need results quickly. Which approach is most appropriate?

A bank is designing a virtual agent for customer service. They want to handle high-volume, predictable tasks (like card activation) but seamlessly route complex cases to a live agent with conversation context preserved. Which design is most appropriate?

A team integrates a Watson API into a mobile app. Security reviews flag that API keys could be extracted from the app package. What integration change best mitigates this risk?

A Watson Discovery query returns relevant results, but users complain the top answers are long and not directly addressing their questions. Which improvement is most likely to help without changing the underlying documents?

A developer uses Watson Natural Language Understanding and receives an error indicating the request is too large. They are sending a very long document in a single call. What is the best remediation strategy?

A project team is unsure whether to build a cognitive solution as a set of small services or as a single application. They expect frequent changes to dialog flows and frequent updates to the knowledge corpus. Which architecture best supports independent iteration and testing?

After deploying a Watson Assistant-based virtual agent, analytics show many users abandon the conversation after the assistant asks clarification questions. The logs indicate frequent low-confidence intent matches and repeated fallback messages. What is the most effective next step to improve performance?

A healthcare solution uses Watson Discovery over clinical guidelines and wants to ensure responses can be explained and traced back to the source to satisfy governance requirements. Which design choice best supports explainability?