Learn, Practice, and Improve with SAP P_BTPA_2408 Practice Test Questions

Explanation

Why B & C are Correct:

C. SAP Custom Domain Service is the primary and standard tool for this exact requirement. It allows you to map a custom domain (e.g., orders.yourcompany.com) to applications running in your BTP subaccounts. It handles SSL/TLS certificate provisioning and management, providing a professional, branded URL for customer-facing apps. This is the recommended approach for production scenarios.

B. Create a new domain in a new subaccount is also technically possible. Within the BTP Cockpit, when you create a subaccount (or edit an existing one), you can define its Subdomain. This subdomain is part of the default URL for applications deployed in that subaccount (e.g., https://...platform.sapcloud.cn). For a public-facing app, you could create a dedicated subaccount with a meaningful, unique subdomain. However, this domain is still under the *.platform.sapcloud.cn umbrella.

Why A & D are Incorrect:

A. Create a new domain in a new global account: Domains are not configured at the global account level. The global account is a billing and directory container. Domains are managed at the subaccount level (for default BTP subdomains) or via the Custom Domain service. Creating a new global account would not inherently solve the unique domain need for the application.

D. Create a new domain in a new directory: Directories are structures for grouping subaccounts, primarily for tenant management and lifecycle isolation in multi-tenant scenarios. Like global accounts, directories do not have a domain configuration setting. Domains are assigned to subaccounts.

Official References

SAP Custom Domain Service:
https://help.sap.com/docs/btp/sap-business-technology-platform/configure-custom-domains
This documentation covers how to set up and manage your own domain names for applications on SAP BTP.

BTP Account Model (Global Account, Directories, Subaccounts):
https://help.sap.com/docs/btp/sap-business-technology-platform/account-model
This explains the hierarchy and purposes of global accounts, directories, and subaccounts, clarifying why domain setup does not occur at the global account or directory level.

Subaccounts - Changing the Subdomain:
https://help.sap.com/docs/btp/sap-business-technology-platform/change-subdomain-of-subaccount
This details how to set or change the subdomain of a subaccount (supporting Option B).

Why A is correct

1. Data solely from SAP S/4HANA Cloud, public edition + CRUD: The standard and recommended way to expose business objects for UI consumption in S/4HANA Cloud is via OData service bindings (for example OData V2 – UI / OData V2 – Web API service bindings).

2. Fastest performance when multiple protocols apply: For synchronous CRUD-style app scenarios, OData/REST-style APIs are typically faster and lighter than SOAP because they avoid SOAP’s heavier XML envelope processing and are widely optimized (HTTP + JSON payload patterns). Also, SAP publishes many S/4HANA Cloud public edition APIs as OData (V2/V4).

3. Frontend for business users: SAP Fiori is the standard enterprise UX pattern for business applications and aligns well with OData UI services.

Why the other options are wrong

B. SAP Fiori + RFC binding ❌

In SAP S/4HANA Cloud public edition, classic RFC-style integrations are not the general approach for external CRUD apps. SAP explicitly notes that for asynchronous comms IDocs are only supported via SOAP and not via other protocols such as the default RFC or plain HTTP, which indicates RFC is not the go-to/provided protocol here for these integration patterns.

In addition, public cloud integration is primarily via released APIs (OData/REST/SOAP) rather than classic direct RFC-style consumption.

C. SAP Build Apps + IDoc binding ❌

Your app needs CRUD, which is typically synchronous request/response.
IDocs are for asynchronous communication. SAP’s own wording: “For asynchronous communication, IDocs can be used.”
So IDoc is not a good fit for interactive CRUD operations.

D. SAP Build Apps + SOAP binding ❌

SOAP can be used for integration (SAP publishes SOAP APIs too).
But the question says: “If multiple backend protocols are applicable, use the one with the fastest performance.”

For CRUD-style synchronous app calls, OData is generally the better-performing and more UI-native protocol than SOAP (lighter payloads, better web/mobile alignment), and SAP explicitly supports OData service bindings for UI/Web API usage.

Official SAP references

Service Bindings (OData V2 – UI / OData V2 – Web API):
SAP S/4HANA Cloud Public Edition APIs (OData / SOAP listings in SAP Business Accelerator Hub):
BAPIs/IDocs in S/4HANA Cloud Public Edition (IDocs are asynchronous; supported via SOAP):

Key Requirements:

Track and manage stock availability/goods movement in a warehouse
Aggregate movement data for reporting
Use reports to optimize stock movements
Use the newest solutions (important clue for solution selection)

Detailed Explanation

Why C, D, and E are Correct:

This scenario describes a classic data warehousing and analytics pattern:

E. SAP HANA Cloud serves as the high-performance analytical database to store and process the movement data in real-time. It can handle the aggregation and complex calculations needed for stock optimization.

D. SAP Datasphere acts as the data warehouse and semantic layer that sits on top of HANA Cloud (or other sources). It would:

Model the warehouse data with business context
Create aggregated views for reporting
Provide governed, business-ready datasets for consumption
As SAP's strategic "next-generation" data warehouse solution, it fits "newest solutions" requirement

C. SAP Analytics Cloud is the modern analytics and reporting tool that:

Creates interactive dashboards and reports from Datasphere
Enables predictive analytics for stock optimization
Supports planning scenarios to optimize movements
Is SAP's strategic, unified analytics platform

Together, these three form a complete modern stack: HANA Cloud (storage/computation) → Datasphere (modeling/governance) → Analytics Cloud (visualization/optimization).

Why A & B are Incorrect:

A. SAP Data Intelligence is primarily an orchestration and ML operations platform for building data pipelines and managing machine learning workflows. While it can move data, it's not the core solution for data warehousing, modeling, and reporting as described. It's more for data engineering and ML than for the aggregated reporting and optimization focus here.

B. SAP HANA Service (SAP Regions) for SAP BTP is essentially the legacy/previous version of the HANA Cloud offering. The question specifically asks for "the newest solutions." SAP HANA Cloud is the strategic, cloud-native, fully managed database service that supersedes the older "SAP HANA Service." Choosing HANA Cloud (E) over HANA Service (B) aligns with using the newest architecture.

Official References

1. SAP HANA Cloud:
https://help.sap.com/docs/HANA_CLOUD
SAP's cloud-native, fully managed in-memory database as a service.

2. SAP Datasphere:
https://help.sap.com/docs/SAP_DATASPHERE
SAP's next-generation data warehouse cloud service that provides a unified data and semantic layer.

3. SAP Analytics Cloud:
https://help.sap.com/docs/SAP_ANALYTICS_CLOUD
SAP's unified BI, planning, and predictive analytics solution on BTP.

4. SAP's Analytics Portfolio Strategy:
https://www.sap.com/products/technology-platform/cloud-analytics.html
Shows the positioning of HANA Cloud, Datasphere, and Analytics Cloud as the core modern analytics stack.

Why A is correct

In SAP’s GenAI/RAG pattern on SAP BTP, the “retrieval” part of retrieval-augmented generation is enabled by a vector store that holds embeddings of your business content and supports similarity search to fetch the most relevant context at runtime. In SAP BTP reference implementations, this role is fulfilled by SAP HANA Cloud vector engine, which enables RAG by storing/processing embeddings and retrieving relevant chunks to ground the LLM response.

Why the other options are wrong

B. SAP Joule ❌

SAP Joule is SAP’s conversational AI experience/assistant layer. It can use grounding/RAG to answer questions, but it is not the architectural component that stores and retrieves the business-specific data (the “retrieval” store). The retrieval store is typically a vector database/engine (e.g., HANA Cloud vector engine).

C. Generative AI hub ❌

Generative AI hub is primarily the model access/orchestration layer—it provides centralized access to SAP/partner foundation models “through SAP AI Core,” plus governance and tooling. That’s not the component responsible for retrieving real-time business context for grounding; it’s about LLM access and management.

D. SAP AI Core ❌

SAP AI Core is the BTP service for running/operating AI workloads (execution and operations of AI assets). It’s the runtime/ops backbone, not the specific component that provides the retrieved business context. The retrieval layer in RAG is still the vector store/engine (e.g., HANA Cloud vector engine).

Official SAP references

SAP Learning (Vector Engine enables RAG by combining LLMs with private business data):
SAP Developers tutorial (RAG using HANA vector + generative AI hub SDK):
SAP.com / Help: Generative AI hub overview (access to models via AI Core):
SAP Help Portal: What is SAP AI Core (AI operations/execution service):

Explanation

Why A & C are Correct:

Both of these services are based on the OpenSearch specification and form part of SAP BTP's observability suite:

C. SAP Cloud Logging service is specifically designed for collecting and analyzing log data from applications and services. It:

Collects structured application logs
Uses OpenSearch/Elasticsearch compatible API
Provides log aggregation, storage, and search capabilities
Would capture error logs when the application crashes

A. SAP Application Logging service for SAP BTP is the legacy/previous version of the Cloud Logging service. While it's being superseded by SAP Cloud Logging service, it:

Is also based on Elasticsearch/OpenSearch technology
Serves the same purpose of collecting application logs
Still available and relevant for existing implementations

Important Technical Context: Both services are essentially the same technology stack at different stages of evolution. For a new implementation, SAP Cloud Logging service would be the primary recommendation as it's the strategic offering.

Why B & D are Incorrect:

B. SAP Cloud Management service is for administrative operations like managing subaccounts, entitlements, service instances, etc. It's not for application diagnostics, metrics, or traces. It's a management plane service, not an observability tool.

D. SAP Audit Log service is specifically for security and compliance auditing - tracking who did what, when, and from where. While it does collect logs, these are security audit logs (logins, data access, configuration changes), not application performance metrics or crash diagnostics. It wouldn't help debug application crashes.

Official References

SAP Cloud Logging Service (OpenSearch-based):
https://help.sap.com/docs/btp/sap-business-technology-platform/cloud-logging

SAP Application Logging Service (Legacy, also OpenSearch-based):
https://help.sap.com/docs/APPLICATION_LOGGING

SAP BTP Observability Services Overview:
https://help.sap.com/docs/btp/sap-business-technology-platform/observability-in-sap-btp

SAP Audit Log Service Documentation:
https://help.sap.com/docs/AUDIT_LOG_SERVICE

Why C is correct:

The company's goals align best with a clean-core, cloud-based approach that minimizes maintenance effort while supporting unique processes and integrations:

SAP Signavio is SAP's tool for process analysis, modeling, and transformation. It helps identify, optimize, and maintain unique business processes during the transition to S/4HANA, supporting fit-to-standard with targeted extensions.

SAP S/4HANA Cloud public edition is a standardized SaaS ERP with quarterly upgrades, low TCO, and minimal maintenance burden—ideal for limited budget, time, and resources. It enforces a clean core, where unique processes are handled via extensibility rather than core modifications.

SAP BTP provides side-by-side extensibility (e.g., SAP Build Apps, Integration Suite, Extension Suite) for custom logic, low-code/no-code developments, and seamless integration with non-SAP systems. This keeps the ERP core clean, upgrade-stable, and easy to maintain while enabling differentiation and hybrid integrations.

Why the other options are incorrect:

A. SAP Lean IX | SAP S/4HANA on premise | SAP BTP

Wrong because SAP S/4HANA on-premise requires significant infrastructure, upgrades, and maintenance effort—contradicting the goal of limited budget/time/resources. On-premise allows deep customizations but increases long-term costs and complexity. LeanIX focuses more on enterprise architecture/IT landscape rather than process modeling for unique processes.

B. SAP Signavio | SAP S/4HANA public edition | SAP Process Orchestration

Wrong because SAP Process Orchestration (PO) is an on-premise middleware tool (legacy from NetWeaver). It requires self-maintenance, hardware, and expertise, increasing costs/resources. SAP's strategic integration platform is now SAP Integration Suite on BTP (cloud-based, scalable, lower maintenance).

D. SAP Lean IX | SAP S/4HANA Cloud private edition | SAP Process Orchestration

Wrong for multiple reasons: Private edition allows more modifications (higher maintenance), Process Orchestration is on-premise/legacy, and LeanIX is less focused on process transformation compared to Signavio. This mix increases operational burden and costs.

Official References:

SAP Integration Suite (successor to PO):
https://www.sap.com/products/technology-platform/integration-suite.html

SAP Discovery Center - Missions on BTP Extensibility:
https://discovery-center.cloud.sap

B. Create an AI Launchpad instance ✅

Why this is correct

To “serve up a model” in SAP AI Core, you typically manage serving/deployments through SAP AI Launchpad (the UI/management layer for AI runtimes like SAP AI Core). Having (and subscribing to) an AI Launchpad instance is a key setup step so you can create/manage deployments and monitor them.

C. Make an inference ✅

Why this is correct

Once a model is deployed/served in SAP AI Core, the purpose of serving is to handle inference requests (online predictions). SAP AI Core documentation explicitly describes how to call the deployment URL to run inference.

Why the other options are wrong

A. Prepare the data ❌

“Prepare the data” is a training / preprocessing step (part of building or training workflows), not a step specific to serving up a model endpoint. SAP AI Core separates training workflows (“Train your model”) from serving/inferencing.

D. Register the Input Dataset ❌

Registering datasets is a common step for training or batch inference pipelines and dataset management in AI Launchpad, but it is not a core step required to serve (deploy) an online inference endpoint.

Official SAP References

SAP AI Core overview (includes model serving workloads; Launchpad as management layer):
Subscribe / create SAP AI Launchpad instance:
SAP AI Core inferencing (calling deployment for inference):
Dataset registration in Launchpad (dataset management, not “serving step”):