Data and AI Cognitive (DAC)Architecture — Learn free

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Questions 1–10 of 10

1. What is identified as the biggest challenge organisations face in today's technological landscape, motivating the Data and AI Cognitive (DAC) Architecture?
Question 1A. Data integration and maintainabilityB. A shortage of dashboardsC. The cost of office spaceD. Too few programming languagesE. The decline of relational databases
2. What primary issue with traditional architectures does DAC Architecture aim to overcome?
Question 2A. Too much automation of AI deploymentB. The fragmentation of data and AI systems into separate silos, with data managed in one architecture and AI models in anotherC. Excessive centralisation of all data in one placeD. The lack of any cloud servicesE. The absence of business intelligence tools
3. What is the Data and AI Cognitive (DAC) Architecture?
Question 3A. A machine learning algorithm for image recognitionB. A relational database schema for financeC. A next-generation unified framework that seamlessly supports both data and AI architectures, breaking down the silos between themD. A project management methodologyE. A vendor-specific cloud product
4. Which DAC capability empowers stakeholders with secure, role-based data access while maintaining strong governance?
Question 4A. Cost Segregation and RecoveryB. Scalability and FlexibilityC. InteroperabilityD. Data Ownership and AccessibilityE. Unified Data and AI Architecture
5. What do the Cost Segregation and Recovery mechanisms of DAC Architecture provide?
Question 5A. Automatic deletion of unused dataB. Free cloud storageC. A single flat fee for all business unitsD. Role-based access to dataE. Precise cost tracking, allocation and optimisation of resources
6. What is the role of the Integration Hub in DAC Architecture?
Question 6A. It acts as a single source for data from multiple systems, so business units access pre-integrated data without building separate pipelinesB. It stores AI models onlyC. It replaces the data governance practiceD. It provides read-only views for consumersE. It bills business units for compute usage
7. How does the Integration Hub reduce the risk of data leakage and vulnerabilities?
Question 7A. By deleting sensitive dataB. By establishing a single connection to each source systemC. By allowing each business unit its own connection to every sourceD. By disabling all external accessE. By copying data into every Business Zone
8. In DAC Architecture, what does the Virtualization Layer do?
Question 8A. It trains machine learning modelsB. It ingests raw data from source systemsC. It manages all read-only views across Enterprise and Business Zones, serving as a unified platform for data consumersD. It stores the governance blueprintE. It allocates cloud costs to departments
9. In DAC Architecture, which body manages the blueprint for all standards, policies, metadata, data quality, privacy and security controls, and data lifecycle management?
Question 9A. The Integration HubB. The Virtualization LayerC. Each Business Zone independentlyD. The Centralised Data Governance Practice (Data Practice Management Team)E. The external cloud provider
10. How do the Business Zone (BZ) Data Governance Practices relate to the Centralised Data Governance Practice in DAC Architecture?
Question 10A. The BZ practices have no governance responsibilities at allB. The BZ practices override the central practiceC. The central practice manages every BZ decision directlyD. The BZ practices report only to the Integration HubE. Each BZ practice has its own data stewardship and manages its specific standards, adhering to best practices shared by the central practice, which regularly reviews them