SAP C_CPI_14 Exam Dumps & Practice Test Questions

Question 1:

Which two features correctly describe the capabilities of the SAP Integration Suite?

A. SAP Open Connectors can be utilized to build iFlows within Integration Advisor.
B. APIs that are published via API Management can be incorporated into iFlows in Cloud Integration.
C. SAP Open Connectors serve as API Providers within API Management.
D. Integration Advisor can automatically generate iFlows for Cloud Integration.

Answer: B and D

Explanation:

The SAP Integration Suite is a versatile platform designed to streamline the integration of SAP systems, third-party applications, and cloud services. It includes key components such as Cloud Integration, API Management, Open Connectors, and Integration Advisor, each contributing unique functionality to enable seamless data and process integration.

Starting with Option A, it suggests that SAP Open Connectors can be used to create iFlows within Integration Advisor. This is inaccurate because Open Connectors are primarily designed to connect external third-party services through pre-built connectors and are not involved in creating iFlows within Integration Advisor. Integration Advisor itself is a tool used to develop integration content, such as message mappings and business rules, but it doesn’t directly generate iFlows by leveraging Open Connectors.

Option B correctly points out that APIs managed and published through API Management can be consumed within iFlows in the Cloud Integration component. This functionality is crucial because API Management governs, secures, and monitors APIs, making them easily consumable in integration flows. iFlows (integration flows) orchestrate these APIs to create end-to-end business processes across multiple systems, which exemplifies an essential feature of SAP Integration Suite.

Regarding Option C, although SAP Open Connectors allow integration with external APIs, they are generally consumers rather than providers of APIs in the API Management context. API Management focuses on exposing and controlling APIs, whereas Open Connectors act more like adapters to consume third-party APIs. Therefore, Open Connectors are not typically used as API Providers within API Management.

Lastly, Option D is accurate. Integration Advisor leverages artificial intelligence and pre-defined templates to automate the creation of iFlows within Cloud Integration. This automation accelerates the design and deployment of integration content by reducing manual mapping efforts and ensuring consistency. Thus, Integration Advisor helps organizations save time and improve integration quality by generating ready-to-use iFlows.

In summary, the two correct statements about SAP Integration Suite capabilities are that APIs from API Management can be used in Cloud Integration iFlows (B), and Integration Advisor can automate the generation of iFlows (D). These features highlight the suite’s power to simplify and accelerate integration tasks.

Question 2:

Within SAP Cloud Integration, which two conversion options allow transforming a message format into another format in a single step?

A. JSON to XML
B. XML to EDI
C. EDI to CSV
D. CSV to JSON

Answer: A and B

Explanation:

SAP Cloud Integration, formerly known as SAP Cloud Platform Integration, provides a robust environment to facilitate message transformation and routing between disparate systems. One of its core features is built-in converters that enable transforming message formats efficiently in a single step during integration processing.

Starting with Option A, converting JSON (JavaScript Object Notation) to XML (Extensible Markup Language) is a standard and widely supported capability in SAP Cloud Integration. JSON is commonly used in modern web services and APIs due to its lightweight and easy-to-parse nature, while XML is often required by enterprise applications and SOAP-based services. Having a built-in converter that directly converts JSON messages to XML simplifies integration workflows and avoids the need for custom scripting or complex mappings.

Option B describes conversion from XML to EDI (Electronic Data Interchange). This transformation is crucial for industries like manufacturing, retail, and logistics where EDI standards are extensively used for business documents such as purchase orders and invoices. SAP Cloud Integration supports this conversion with prebuilt components that map structured XML data into EDI message formats, enabling smooth business-to-business communications.

On the other hand, Option C (EDI to CSV) is not a typical out-of-the-box converter in SAP Cloud Integration. Although converting EDI to CSV is feasible, it usually requires custom mapping or scripting because CSV (Comma-Separated Values) is a simple flat-file format, unlike the structured hierarchical format of EDI. Consequently, it is not supported as a direct one-step converter.

Similarly, Option D (CSV to JSON) is not directly supported as a one-step conversion by default. While CSV and JSON are both popular data formats, converting CSV to JSON in SAP Cloud Integration typically necessitates custom transformations, scripting, or additional processing steps.

Therefore, the built-in one-step conversion options supported by SAP Cloud Integration are JSON to XML (A) and XML to EDI (B). These converters facilitate seamless message transformation, enabling efficient data exchange between modern applications and traditional enterprise systems, thereby simplifying integration scenarios.

Question 3:

Which two middleware or runtime platforms can utilize runtime artifacts generated by SAP Integration Advisor? (Select two.)

A. SAP Process Orchestration
B. SAP S/4HANA Cloud
C. SAP Cloud Integration
D. SAP S/4HANA

Correct answer: A, C

Explanation:

SAP Integration Advisor is a powerful tool designed to help create and manage integration content such as interface mappings, message transformations, and other related runtime artifacts. These artifacts are essential for enabling seamless communication and data exchange between SAP and third-party systems. However, these generated artifacts require appropriate middleware or runtime platforms to execute and manage the integration scenarios effectively.

First, SAP Process Orchestration (Option A) is a widely-used on-premise middleware suite that includes capabilities for integration, business process management, and process automation. It serves as a comprehensive platform that can consume and deploy the runtime artifacts generated by SAP Integration Advisor. These artifacts, which include mapping files and configuration data, are imported into SAP Process Orchestration to enable the execution of integration flows, ensuring smooth interaction between SAP and external systems.

Next, SAP Cloud Integration (Option C), formerly known as SAP Cloud Platform Integration (CPI), is SAP’s cloud-based integration middleware solution. It supports hybrid integration scenarios, connecting cloud applications with on-premise systems or other cloud services. Like SAP Process Orchestration, SAP Cloud Integration can import and execute the runtime artifacts produced by SAP Integration Advisor, facilitating efficient and scalable integration across diverse environments.

In contrast, SAP S/4HANA Cloud (Option B) and SAP S/4HANA (Option D) are core ERP solutions focused on enterprise resource planning. While they provide interfaces to integrate with other systems, they do not serve as middleware platforms that execute integration runtime artifacts. These ERP systems rely on external integration platforms like SAP Process Orchestration or SAP Cloud Integration to handle the technical aspects of integration. Consequently, these two options are not appropriate targets for deploying the runtime artifacts generated by SAP Integration Advisor.

In summary, the correct middleware and runtime environments that use the Integration Advisor’s artifacts are SAP Process Orchestration and SAP Cloud Integration. These platforms are designed to host, manage, and execute integration logic, enabling the smooth flow of data between SAP and other enterprise systems.

Question 4:

What benefits are gained by implementing local integration processes within an organization? (Choose two.)

A. Limit complexity
B. Increase readability
C. Boost performance
D. Decrease modularization

Correct answer: A, C

Explanation:

Local integration processes refer to the approach of managing and executing integration tasks within a confined or localized environment, such as within a specific business unit or technology domain. These localized processes focus on integrating systems or applications that are geographically or logically close to one another, rather than spanning broad, enterprise-wide integrations.

One key advantage of local integration is the ability to limit complexity (Option A). By restricting integration scope to local systems, organizations reduce the number of external dependencies and minimize the variety of protocols, data formats, and security requirements they must handle. This simplification makes it easier to design, implement, and troubleshoot integration processes. When fewer systems and less varied interactions are involved, developers and administrators can manage integrations more effectively and respond faster to issues.

Another significant benefit is boosting performance (Option C). Local integrations often avoid the overhead associated with long-distance network calls, complex security handshakes, or extensive data transformations needed when connecting disparate systems globally. Since data and processes remain within a localized context, communication latency is reduced, and processing speeds improve. This leads to more responsive applications and faster execution of business processes, which can be critical for time-sensitive or high-volume transactions.

On the other hand, increasing readability (Option B) is not necessarily a guaranteed outcome of local integration. While keeping integration within a smaller domain can help organize the architecture, it doesn’t inherently improve how easily integration flows or code can be understood. Readability depends more on coding standards, documentation, and architectural design rather than just the scope of integration.

Similarly, decreasing modularization (Option D) is incorrect. Effective local integration often emphasizes modularity—breaking down systems into manageable, independent components. Far from decreasing modularization, local integration can enhance it by isolating distinct functions within clear boundaries, making components easier to update or replace without affecting the entire system.

In conclusion, implementing local integration processes primarily serves to reduce system complexity and improve integration performance. These advantages help organizations build more manageable, efficient, and scalable integration landscapes within their localized environments.

Question 5:

Which functionality within the SAP Integration Suite is utilized to expose processed data for consumption by other applications or end-users?

A. SAP API Management
B. SAP Open Connectors
C. SAP Integration Advisor
D. SAP Cloud Integration

Answer: A

Explanation:

The SAP Integration Suite is a versatile platform designed to enable seamless integration between SAP and non-SAP applications, facilitating data flow and process automation across diverse systems. Each component of the suite serves a specialized role within the integration lifecycle. When it comes to delivering processed data to other applications or consumers, it is crucial to use the appropriate capability tailored for secure and efficient data exposure.

SAP API Management is the component specifically designed for this purpose. It enables organizations to expose APIs that deliver processed data, making them accessible to internal or external consumers. This tool not only facilitates the creation and publication of APIs but also provides mechanisms for managing, securing, and monitoring API traffic. By leveraging SAP API Management, organizations can ensure that their data is available in real-time, securely controlled, and scalable to meet demand. This approach streamlines data sharing while enforcing governance policies such as authentication, rate limiting, and analytics.

On the other hand, SAP Open Connectors provide pre-built connectors to integrate with third-party applications and services. While Open Connectors simplify connectivity and data integration, they do not directly focus on exposing processed data via APIs; rather, they establish connections to external systems.

SAP Integration Advisor assists primarily in automating and simplifying the creation of integration content by recommending mappings and integration scenarios. However, it does not directly expose or provide processed data to other applications.

Finally, SAP Cloud Integration functions as an integration middleware platform that facilitates data transformation, routing, and connectivity between systems. Although it processes and moves data across platforms, it is not principally designed to expose processed data via managed APIs to external consumers.

In summary, SAP API Management is the ideal tool for publishing processed data to other systems through secure, manageable APIs, making it the correct choice for exposing data within the SAP Integration Suite.

Question 6:

What is the correct sequence of steps to create a message mapping in SAP Integration Advisor, considering the use of Message Implementation Guidelines (MIG) and Mapping Guidelines (MAG)?

A. Create Target MIG → Create Source MIG → Select correct type system → Create MAG
B. Create MAG → Select correct type system → Create Target MIG → Create Source MIG
C. Select correct type system → Create Source MIG → Create Target MIG → Create MAG

Answer: C

Explanation:

Creating a message mapping in SAP Integration Advisor involves a structured process to define how data will be transformed between different message formats. This ensures compatibility and correct data exchange between diverse systems.

The first step is to select the correct type system. The type system determines the structural framework for messages, such as EDIFACT, XML, or other formats. Selecting the type system upfront is crucial because it establishes the schema and validation rules that will apply to both the source and target message definitions.

Next, you create the Source Message Implementation Guideline (Source MIG). This document specifies the structure, elements, and data types of the incoming message from the source system. It defines the data fields and their formats that the integration process will receive.

Following the source definition, the Target MIG is created. This guideline describes the structure and expected format of the message after transformation, specifying how the data should appear to the target system. Creating the target MIG after the source MIG allows for alignment between the two structures.

Finally, the Mapping Guideline (MAG) is developed. The MAG contains the mapping logic and transformation rules that convert data from the source MIG format to the target MIG format. This includes any conversions, value mappings, or transformations required to ensure the target system correctly interprets the data.

This sequence—starting with type system selection, followed by source MIG creation, then target MIG creation, and concluding with the MAG—provides a logical and efficient workflow for defining message mappings. It ensures that the message transformation is well-structured and accurately reflects the requirements of both source and target systems.

Thus, the correct order of steps in SAP Integration Advisor message mapping creation is: Select correct type system → Create Source MIG → Create Target MIG → Create MAG.

Question 7:

Which of the following are key features of the SAP Business Technology Platform (BTP)? (Select two.)

A. Application development using SAP Extension Suite
B. Application development in SAP on-premise systems
C. Integration with SAP Analytics Cloud
D. Extending third-party database systems

Correct Answers: A and C

Explanation:

The SAP Business Technology Platform (BTP) is an integrated offering designed to empower organizations to innovate and transform their business processes using cloud technologies. It combines data management, analytics, artificial intelligence, application development, and integration services into a unified platform. Among its many capabilities, two features stand out as core to its value proposition:

• Application Development Using SAP Extension Suite (A): This feature is central to SAP BTP’s offering. The SAP Extension Suite provides tools and services that allow developers to extend, customize, and enhance existing SAP applications. Using this suite, businesses can create new applications or extensions that seamlessly integrate with their core SAP systems, enabling them to tailor SAP solutions to specific business needs without disrupting the underlying infrastructure. The Extension Suite supports rapid development with prebuilt services, APIs, and development environments optimized for cloud-native applications.

• Integration with SAP Analytics Cloud (C): SAP BTP integrates deeply with SAP Analytics Cloud (SAC), which provides powerful business intelligence, planning, and predictive analytics capabilities. This integration enables organizations to gain real-time insights from their data, facilitating data-driven decision-making across the enterprise. SAC connects with data stored in SAP systems and other sources within the BTP ecosystem, helping businesses unlock the value of their data through advanced analytics and visualization.

Now, considering the other options:

• Application Development in SAP On-Premise Systems (B): While SAP supports application development on-premises, this capability is not a unique feature of SAP BTP. BTP primarily focuses on cloud-native development and services, offering scalability, integration, and modern development frameworks beyond traditional on-premises environments.

• Extending Third-Party Database Systems (D): Although SAP BTP can interface with various databases, the platform emphasizes its own cloud-based databases like SAP HANA Cloud. Extending third-party databases is possible but is not highlighted as a primary feature of BTP, which centers on integrated SAP technologies and cloud-native capabilities.

In summary, SAP BTP’s standout features include enabling cloud-based application development through the SAP Extension Suite and seamless integration with SAP Analytics Cloud. These capabilities empower businesses to build, extend, and analyze their applications and data effectively, driving innovation and agility in the digital economy.

Question 8:

Which components are offered by SAP Business Technology Platform environments? (Select three.)

A. Tools
B. Runtime
C. Applications
D. Systems
E. Services

Correct Answers: A, B, and E

Explanation:

SAP Business Technology Platform (BTP) is a comprehensive cloud platform designed to help businesses develop, deploy, and manage applications while integrating data and processes across diverse environments. The platform offers various components that together form a powerful foundation for digital transformation. Among these components, three are fundamental:

• Tools (A): SAP BTP provides a suite of tools to support developers, administrators, and business users in building and managing applications. These include development environments, APIs, integration tools, and design frameworks. The tools facilitate cloud-native development, allowing organizations to create scalable and extensible applications that integrate smoothly with SAP and third-party systems. By providing these tools, SAP BTP simplifies and accelerates innovation and application lifecycle management.

• Runtime (B): The runtime component is essential for executing applications on the platform. It includes the cloud infrastructure and execution environments that support multiple programming languages, frameworks, and runtime engines. This component ensures applications run efficiently, with scalability and high availability. SAP BTP’s runtime environment abstracts the underlying infrastructure complexities, allowing developers to focus on building applications rather than managing servers or hardware.

• Services (E): One of SAP BTP’s strongest offerings is its wide array of cloud services supporting data management, analytics, artificial intelligence (AI), machine learning (ML), integration, and workflow automation. Examples include SAP HANA Cloud for database management, SAP Integration Suite for connecting systems, SAP AI Core for intelligent services, and SAP AppGyver for low-code development. These services provide businesses with advanced capabilities to automate processes, gain insights, and enhance decision-making.

The options that are not correct:

• Applications (C): SAP BTP is primarily a platform rather than an application provider. It enables the development and deployment of custom applications but does not directly provide packaged applications as part of its core environment.

• Systems (D): This term is too broad and nonspecific in the context of SAP BTP. While SAP BTP supports the integration of systems, the platform itself is composed of tools, runtimes, and services rather than standalone “systems.”

In conclusion, the SAP Business Technology Platform environment offers Tools, Runtime, and Services to empower organizations to innovate rapidly and efficiently in the cloud, supporting application development, execution, and advanced business functionalities.

Question 9:

Which SAP Cloud Integration process step enables an iFlow to be executed immediately after it has been deployed?

A. Message Digest
B. Content Modifier
C. Timer
D. Scheduler

Answer: D

Explanation:

SAP Cloud Integration offers a variety of process steps to build, control, and automate the behavior of integration flows (iFlows). These components help manipulate message content, trigger execution events, or control the timing of tasks within a cloud-based integration environment. Understanding which process step can initiate the running of an iFlow right after deployment is crucial for effective integration automation.

Let's consider each option:

A. Message Digest:
The Message Digest step is primarily a cryptographic utility used to generate a hash or checksum of a message. This ensures data integrity or can be used for security validations by creating unique message fingerprints. However, the Message Digest step does not control when an iFlow executes; it only processes data during the flow. Therefore, it cannot trigger an iFlow to start upon deployment.

B. Content Modifier:
This step allows modification of the message content passing through the iFlow, such as setting headers, properties, or altering the payload. It plays a key role in shaping the data but does not influence scheduling or triggering of the iFlow itself. Hence, it cannot automatically run an iFlow after deployment.

C. Timer:
The Timer step is designed to introduce waits or define intervals for repeated execution within an iFlow. For example, it can delay processing or run periodic tasks inside the flow once triggered. However, it does not function as an initial trigger to start the iFlow immediately after deployment. It’s more about internal timing control rather than launching the flow.

D. Scheduler:
The Scheduler step is explicitly built to schedule and trigger iFlows based on time-based criteria. This includes the capability to start an iFlow immediately after deployment or to run it at specific intervals or scheduled times. This feature makes the Scheduler step the appropriate choice for automatically initiating iFlows as soon as they are deployed, facilitating automation and timely execution.

In summary, the Scheduler step is the designated component in SAP Cloud Integration that enables an iFlow to be run right after deployment. It provides flexible scheduling and automation capabilities that other steps, like Message Digest or Content Modifier, do not offer. Therefore, option D is the correct answer.

Question 10:

What happens to the log level configuration of an iFlow once the iFlow is deleted from the SAP Cloud Integration system?

A. The log level is set to None.
B. The log level is removed.
C. The log level is kept unchanged.
D. The log level is reset to the default setting.

Answer: B

Explanation:

In SAP Cloud Integration, the log level defines the amount and detail of logging information generated when an iFlow runs. This setting can range from minimal logging to detailed trace or debug levels, helping developers and administrators monitor and troubleshoot integrations. However, what happens to this logging configuration when an iFlow is deleted is an important question for maintaining system hygiene and clarity.

When an iFlow is deleted, the system removes all configurations associated with that iFlow, including the log level settings. The rationale is straightforward: without the iFlow present, its related settings no longer have any function or context within the system, so they are purged to prevent clutter and confusion.

Let's analyze why the other options are not correct:

• A. The log level is set to None:
  While setting the log level to None means disabling logging, this is a manual action typically performed to reduce log volume or suppress unnecessary information. Deleting an iFlow does not automatically change the log level to None; instead, it removes the entire configuration. So this option is incorrect.

• C. The log level is kept unchanged:
  Maintaining the log level after deleting the iFlow would imply keeping configuration settings without any associated flow, which is illogical and could cause system inconsistencies. Since the log level is tied to the iFlow’s lifecycle, it is removed when the iFlow is deleted. Therefore, this option is false.

• D. The log level is reset to the default setting:
  Resetting to a default log level might occur during reconfiguration or resetting of settings, but deletion is a removal action, not a reset. When the iFlow is deleted, its configurations including log settings are completely removed, not reverted to default.

To sum up, deleting an iFlow from the SAP Cloud Integration environment removes all related settings, including the log level configuration. This ensures the system remains clean and free of obsolete data tied to non-existent flows. Hence, the correct answer is B.