IBM A1000-074: Assessment: Foundations of Watson AI v2 Practice Exam 2025: Latest Questions

A support team wants to quickly add an AI chatbot to answer common customer questions using existing FAQ documents. They want minimal custom model training and prefer a managed Watson service. Which approach best fits?

A business analyst asks what makes machine learning different from traditional rule-based automation. Which statement is most accurate?

A developer is testing a Watson-based application and sees inconsistent results because the same input sometimes returns different outputs due to model randomness. What is the best practice to make testing more repeatable?

A project team wants to assess whether an AI solution is appropriate for automating a business decision. Which initial step is most important before selecting a Watson service?

A team is building a text classification model and notices high accuracy on the training set but much lower accuracy on new, unseen data. What is the most likely issue?

A company wants an architecture that separates the user-facing web app from Watson AI calls, centralizes secrets, and enables usage monitoring. Which design is most appropriate?

A chatbot must handle sensitive customer data. The team is concerned about accidental exposure of personally identifiable information (PII) in logs and analytics. What is the best practice?

A developer reports that calls to a Watson service are failing intermittently with timeouts when traffic spikes. Which improvement most directly addresses this in the application layer?

A team is asked to deploy an AI feature that recommends actions to human agents. Leadership is concerned about fairness and explainability. Which approach best aligns with responsible AI best practices?

A solution uses a Watson-based generative capability to answer employee policy questions. During testing, it sometimes fabricates policy details that are not in company documents. Which mitigation is most appropriate?

A team wants to add a natural-language interface to search a company knowledge base and return concise answers with citations. Which Watson capability best fits this requirement?

A chatbot frequently fails when users phrase the same request in different ways (for example, "reset my password" vs "can't log in"). What is the MOST appropriate improvement in a Watson Assistant skill?

In a supervised learning project, which item is REQUIRED during training to enable the model to learn the correct output?

A customer-support team wants to route incoming emails to the correct department (billing, technical, sales) and also extract key details such as product names and account IDs. Which approach best matches these needs?

A model shows 95% accuracy on the training set but performs poorly on new, unseen data. Which situation is MOST likely occurring?

A developer integrates Watson Assistant with a backend order-status API. Users sometimes get a generic error message even though the API is returning a structured error payload (e.g., invalid order ID). What is the BEST design improvement?

A team is building an AI solution for HR to screen resumes. Which practice BEST helps reduce unwanted bias in model outcomes?

A Watson Discovery collection returns many irrelevant results for a short query. The content includes PDFs with tables and scanned pages. What is the MOST likely reason for poor relevance and what is a good first step?

A company must keep sensitive customer data in its private network, but wants to use Watson services for language understanding. Which architecture is MOST appropriate?

A team deploys a conversational assistant and notices that, after adding new intents, previously reliable intents are now being misclassified. What is the BEST next step to stabilize performance?

A healthcare organization wants to build a chatbot that answers common questions but must avoid exposing protected health information (PHI) and should clearly escalate to a human when the user asks about personal medical results. Which design approach is the BEST practice?

A team is deciding whether to use a rules-based approach or machine learning for categorizing incoming customer emails (billing, technical support, sales). They have thousands of labeled examples and the categories change over time. Which approach is MOST appropriate?

A developer is integrating an IBM Watson AI service into a web app. Authentication succeeds, but the service returns errors because the request is being sent to the wrong endpoint. Which issue is the MOST likely cause?

A retail company wants to analyze customer feedback to identify themes (e.g., shipping delays, product quality) but does not have labeled training data. Which AI technique is the BEST fit to start with?

A company deploys an AI-powered virtual agent. After launch, they notice the agent frequently fails to recognize a newly introduced product name, leading to incorrect responses. What is the MOST effective next step to improve performance?