IBM A1000-003 Intermediate Practice Exam: Medium Difficulty 2025

A financial services company is deploying IBM Cloud Pak for Data across multiple departments. The data science team requires GPU-accelerated workloads for deep learning, while the business analytics team needs standard compute resources for reporting. What architectural approach should be implemented to optimize resource allocation?

An organization has implemented Watson Knowledge Catalog for data governance. They need to ensure that personally identifiable information (PII) is automatically discovered and classified across multiple data sources including databases, object storage, and cloud applications. Which combination of features should they configure?

A retail company wants to build a real-time recommendation engine using IBM Cloud Pak for Data. They have historical transaction data in a data warehouse, real-time clickstream data from their website, and customer profile data in a CRM system. What integration pattern should they implement?

A data science team is using Watson Studio to develop machine learning models. They need to ensure model reproducibility, track experiments, and automate deployment to production when accuracy thresholds are met. Which components should they utilize together?

An organization's Cloud Pak for Data deployment needs to support users from different business units with varying security clearances. The HR department should only access employee data, while the finance team should only access financial data, but both datasets reside in the same database. What security approach should be implemented?

A company is implementing a data quality initiative in Watson Knowledge Catalog. They discover that customer address data has inconsistent formats across five different source systems. What sequence of actions should they take to standardize this data?

A manufacturing company wants to implement predictive maintenance using Watson Machine Learning. They have sensor data streaming from equipment, but their data scientists report that model accuracy degrades over time in production. What solution should they implement?

During a Cloud Pak for Data implementation assessment, you discover that the customer has data spread across on-premises Oracle databases, AWS S3 buckets, and Salesforce. They want to perform analytics without moving data and maintain data sovereignty. What architecture should you recommend?

A healthcare organization using Watson Studio needs to ensure their AI models comply with regulations requiring explainability of decisions that affect patient care. Which combination of services and features should they implement?

You are assessing a customer's environment for Cloud Pak for Data deployment. They have a Red Hat OpenShift cluster with 3 worker nodes (16 CPU, 64GB RAM each) and want to deploy Watson Studio, Watson Machine Learning, Watson Knowledge Catalog, and DataStage. What should be your primary recommendation?