Sourced artificial intelligence and software context
Models, products, and production services: SAP Basis
The City of San Jose identifies artificial intelligence as a priority growth sector and includes AI training and job-matching programs in its fiscal year 2025 to 2026 economic plan. Map the operating setting to system sizing, landscape separation, identity, network paths, high availability, and recovery objectives. Ask the engineer to explain the limits that drove the design. AI product work can join source data, models, application code, evaluation, user feedback, cost controls, access rules, and production support under separate owners.
Evidence to request: Review a landscape diagram and ask for sizing, isolation, identity, network, availability, and recovery decisions. Define the user decision, model boundary, source data, evaluation set, deployment path, access control, cost target, failure response, and approving product owner.
Sourced semiconductors and advanced manufacturing context
Engineering, fabrication, and supply controls: SAP Basis
A July 2025 City of San Jose economic-development release names advanced manufacturing and semiconductors among the industries the city plans to attract, retain, and grow. Define ownership for kernels, support packages, upgrades, transports, certificates, interfaces, and database maintenance. Require evidence from a controlled production change. Semiconductor and manufacturing programs may connect product definitions, equipment, process recipes, production schedules, quality results, suppliers, inventory, maintenance, and cost records.
Evidence to request: Use an upgrade or transport scenario with prerequisites, testing, downtime, communication, fallback, and evidence capture. Set the design or plant boundary, product revision, process control, equipment interface, traceability unit, quality release, supplier handoff, change window, and support owner.
Sourced data centers and energy infrastructure context
Capacity, continuity, and facility operations: SAP Basis
San Jose's July 2026 large energy-use project page distinguishes data centers from research laboratories, advanced manufacturing sites, electric-vehicle charging hubs, and other power-intensive facilities. Set the incident and continuity boundary. Candidates should cover alerting, work processes, dumps, locks, jobs, capacity, backups, failover, vendor escalation, and post-incident checks. These facilities can combine power, cooling, networks, physical security, capacity, asset maintenance, environmental controls, backup systems, and tenant or workload commitments.
Evidence to request: Ask for a production incident the engineer diagnosed, including signals, commands, recovery, business communication, and preventive work. Name the facility and workload boundary, capacity unit, power and cooling dependencies, availability target, access model, maintenance path, recovery test, and change authority.