C_BCSBS sample questions & answers

Ashigane Denki Stores runs forty consumer electronics branches around Nagoya, Japan, and has told its board that customers will see artificial intelligence at work before the year-end sales peak. The transformation lead has already drafted the board paper. It presents the move to an Autonomous Enterprise as a list of AI features to be switched on branch system by branch system across eight weeks. Store trading data, service repair records and supplier ordering each sit in separately managed applications, and the same product is described differently in each of them.

The chief financial officer will fund a three-year commitment only if the first year does not have to be rebuilt later, and she has asked what the company is actually buying. A presales solution advisor has been asked to rework the framing of the paper before the board meets next week.

How should the advisor frame the move to an Autonomous Enterprise in the reworked board paper?

Baekryu Interactive has published mobile and console titles from Seoul, South Korea, for twelve years. Its live-operations team decides daily which offers and events each title runs, and now wants AI support for those decisions. Player activity sits in one studio platform, billing and refunds in a second, and community reports in a third, and the same player is identified differently in each.

Two of the three platforms were joined last year by a direct link written for a single reporting project. Nobody maintains it, and a platform update briefly broke it last quarter without anyone noticing for a week. The third platform is still reconciled by hand every morning by two analysts.

The live-operations director wants the AI capability switched on next month to catch a major title launch, arguing that data work can follow once results are visible. The publishing lead will approve the spend only if the arrangement still works after the launch quarter without analysts rejoining records by hand. A solution advisor on the pursuit team has been asked to set out the order of work.

Which order of work should the advisor recommend for reaching reliable AI support of live operations?

Torisaki Seimitsu Service maintains precision robot arms and their tooling for automotive and electronics plants around Hamamatsu, Japan, under fixed response-time contracts. Two years ago it bought two separate automation tools from different suppliers, one for spare-part reordering and one for engineer rostering. Each was judged a success inside the department that bought it.

Last month a rescheduled part shipment reached the depot after the engineer assigned to the job had already been sent to a different plant. The reordering tool had recorded the delay; the rostering tool had not seen it. The visit was rebooked eleven days late and a contract penalty was paid.

Encouraged by the two departmental successes, the chief operating officer now proposes treating the five Autonomous Domains the same way: five workstreams, five budget owners, five sets of local data rules, each moving at its own pace so that something is running before the next contract renewal. A solution advisor supporting the account must respond before the proposal is signed off.

How should the advisor respond to the proposal to run the five Autonomous Domains as five independent departmental workstreams?

Hanmoru Department Stores runs eleven outlets across Busan and the surrounding province, and most of its margin is earned in a short holiday trading season. The merchandising director wants to tell the board that markdown decisions across every outlet will be handled with nobody in the loop from November, releasing two planning roles. Markdown work today runs in steps: read stock cover by outlet, check competitor pricing, propose a reduction, obtain a buyer's sign-off, then push new prices to the tills.

Two outlets trialled a rules-based markdown tool last winter and floor managers overrode it so often that it was withdrawn. Separately, the privacy officer has asked how customer purchase histories would be used by any AI serving the clienteling teams on the shop floor, and has told the internal governance review, which closes in three weeks, that no system may act on a purchase history unless a named employee makes the decision. A presales solution advisor must position Joule agents and Joule assistants for both uses.

How should the advisor position Joule agents and Joule assistants for the two uses at hand?

Shioyama Ferry Lines was formed by the merger of two coastal operators and runs vehicle and passenger services between Matsuyama, Japan, and the islands of its inland sea. Its operations chief has said plainly that AI will not understand this business, pointing to tide windows, dry-dock periods, school-holiday vehicle mixes and berth-sharing rules that differ at every port. The two merged timetables were only reconciled last year, and each route still carries local practice from whichever operator once ran it.

The commercial director wants a proposal within a week and believes a demonstration would settle the matter faster than discussion. Two colleagues on the account team read the objection differently: one hears a worry about losing control of sailing decisions, the other hears frustration at how long anything takes to build. The presales solution advisor must decide which pillar of the SAP Business AI Platform to open the meeting with.

Which pillar of the SAP Business AI Platform should the advisor lead with when the meeting opens?

Kuraboshi Vending Networks placed its first machines outside factory gates in Daegu, South Korea, and today refills and repairs several thousand units across the region. Replenishment routing runs on an in-house application that has been modified so heavily that the last two supplier updates were skipped rather than absorbed.

Those updates now arrive continuously rather than as occasional releases, so each one left behind widens the gap the team must close by hand later. Machine telemetry, service visits and stock movements are recorded separately, and the routing application reads only a nightly extract of them, so a machine emptied at midday is routed as though it were still full.

The IT manager proposes writing new AI routing logic straight into the modified application, because the team knows that code well and a route-cost target must be met this quarter. The finance director is meanwhile comparing supplier feature lists and asks which product offers the deepest built-in optimisation. A solution advisor has been asked to say where lasting value sits and how the routing target should be met.

What should the advisor recommend about where lasting value sits and how the routing target should be met?