SAP C_BCSPM_2502 Dumps Questions Answers

The document outlines the challenges that prompt organizations to implement SAP Fieldglass:

"The two main challenges that often prompt organizations to implement SAP Fieldglass are:

A. Time-consuming onboarding

Many companies struggle with manual, fragmented onboarding processes for external workers—resulting in delays, compliance risks, and inefficient access management. SAP Fieldglass automates onboarding and offboarding, including tasks like background checks, system access, and asset retrieval, significantly speeding up the process and reducing risk.

C. Fragmented labor management

Organizations often manage contingent workforce, services, and non-payroll labor across multiple siloed tools, resulting in poor visibility and control. SAP Fieldglass centralizes this with unified procurement of external talent, centralized time sheets and invoices, real-time analytics, and compliance management."

Why the other options are incorrect:

B. Workforce payments:"While Fieldglass handles invoice/payment workflows for external labor, this isn’t typically a pain point driving adoption (the challenge is more about visibility and control)."

D. Data privacy regulation issues:"Although compliance is supported, it’s not the primary trigger; organizations often look to Fieldglass for managing workforce complexity, not as a standalone data privacy solution."

The document summarizes, "Implementations are frequently motivated by difficulties in: A: Accelerating and automating onboarding, C: Resolving fragmented labor management and improving visibility/compliance. Thus, the correct answers are A and C."

The document identifies the aspect of SAP Ariba that showcases its end-to-end capabilities:

"The correct answer is:

D. Automation of procurement processes from sourcing to payment

Why D is correct:

SAP Ariba is designed as a comprehensive end-to-end procurement solution, covering all steps from sourcing and contract management, through purchasing and supplier collaboration, to invoicing and payment automation. This full integration ensures seamless workflows, digital touchpoints across the SAP Business Network, and reduced manual intervention."

Why the other options are incorrect:

A. Tracking of supplier performance:"While supplier performance tracking is valuable, it’s a component—not the defining element—of Ariba’s end-to-end capabilities."

B. Isolation of spend data across different departments:"This actually contradicts Ariba’s goal. The platform unifies spend data across departments and systems, rather than isolating it."

C. Enhanced focus on non-PO invoices:"Automation includes both PO and non-PO invoices, but focusing on non-PO invoices alone doesn’t capture Ariba’s broader end-to-end value."

The document concludes, "SAP Ariba’s source-to-pay automation is what truly demonstrates its integrated, end-to-end procurement capabilities. That makes D the clear and correct answer."

The document specifies that the AI enhancement in SAP Fieldglass for creating clear, unbiased job requirements is:

" Why C is correct: SAP Fieldglass leverages generative AI to automatically generate or enhance Statement of Work (SOW) descriptions, ensuring they are comprehensive and well-structured. This helps reduce ambiguity and inherent bias, making requirements clearer and more uniform for suppliers. Buyers can initiate this by entering basic details like title or summary and letting AI produce content that mitigates subjective phrasing or omissions."

Why the other options are incorrect:

A. AI-generated resume analysis:"This is a machine learning feature focused on resume scoring and skill matching, not on creating or refining job requirements."

B. AI-assisted creation of statements of work:"This is essentially restating option C, but SAP specifically labels it as 'AI-generated SOW descriptions', making option C the precise terminology."

D. AI-assisted position summary:"There isn’t a feature specifically for AI-assisted summaries; the primary enhancement targets job description or SOW content, not standalone position summaries."

The document summarizes, "SAP Fieldglass’s generative AI automates the crafting of SOW descriptions, ensuring they are clear, consistent, and bias-free for suppliers—making C the correct and precise answer." This confirms C as the correct choice.