C_CPI Practice Test 2 — 10 Questions

Question 1

An integration developer needs to call an SAP S/4HANA OData V2 service that requires principal propagation so the backend sees the actual business user, not a technical user. The flow is triggered by an HTTPS sender adapter from an SAP Fiori app. Which configuration is required in SAP Cloud Integration to achieve principal propagation?

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

Use the OData receiver adapter with Principal Propagation authentication and configure the required certificate-based trust with the Cloud Connector.. Principal propagation in Cloud Integration is implemented by the OData receiver adapter using the Principal Propagation authentication option. The runtime requests a short-lived certificate from the Cloud Connector on behalf of the logged-on user, and the backend trusts that certificate. This requires trust configuration between the tenant, Cloud Connector, and backend. Client Credentials, basic authentication, and stored credentials do not convey the actual business user identity.

Answer

Set the OData receiver adapter to Basic Authentication and store the business user's credentials in a User Credentials artifact.

Answer

Configure the OData receiver adapter with OAuth 2.0 Client Credentials and map the business user via a Content Modifier.

Answer

Enable 'Allow Sender to Provide Credentials' on the HTTPS sender adapter and pass the user's password to the OData receiver.

Question 2

An integration developer is building an integration flow that must call an external REST API protected by OAuth 2.0 client credentials. The API requires the client ID and client secret to be sent as HTTP Basic authentication to the token endpoint, and the resulting access token must be attached as a Bearer token to every subsequent request. The developer wants to avoid hardcoding the credentials in the integration flow and wants the token to be reused across multiple message exchanges until it expires. Which approach should the developer use?

Accepted Answer

Configure the HTTP receiver adapter with OAuth 2.0 Client Credentials authentication and select a Security Material of type OAuth2 Client Credentials that stores the client ID, client secret, and token service URL.. OAuth 2.0 client credentials flows require a security material that holds the client ID, client secret, and token service URL. SAP Cloud Integration provides the OAuth2 Client Credentials artifact type for exactly this purpose, and the HTTP receiver adapter uses it to fetch and cache the access token. This removes hardcoded secrets and avoids per-message token requests.

Answer

Store the client ID and client secret in a Partner Directory parameter and read them with a Groovy script that performs the token request on every message.

Answer

Configure the HTTP receiver adapter with OAuth 2.0 Client Credentials authentication and use a Keystore Monitor entry containing the client ID and client secret.

Answer

Create a User Credentials security material containing the client ID and client secret, then reference it from the HTTP receiver adapter using Basic authentication.

Question 3

An integration developer is configuring a Message Mapping step in an integration flow. The target structure must include a subtotal element that sums the Price values of all Item nodes from the source, and the mapping also contains a user-defined function that performs this summation. After deployment, the receiver reports that the subtotal is always 0. The developer confirms the source payload contains multiple Item nodes with valid numeric Price values. What is the most likely cause?

Accepted Answer

The user-defined function is not marked as a queue function, so it processes each Item context individually and resets the accumulator for every Item node.. A user-defined function that accumulates a value across multiple source contexts must be set as a queue function in the message mapping. Otherwise, the mapping runtime invokes it once per context, resetting the accumulator and producing an incorrect sum such as 0. Marking the function as a queue function ensures it is invoked once and can iterate over all Item nodes.

Answer

The user-defined function must be written as a Groovy script in the Script step instead of a message mapping function, because mapping functions cannot aggregate values.

Answer

The mapping runtime does not support user-defined functions that perform arithmetic on numeric values, so the subtotal element is left empty.

Answer

The Price element in the source is a string, so the mapping engine treats it as text and cannot sum it, resulting in 0.

Question 4

You are configuring a Message Mapping step in an integration flow that maps a repeating node from a source XML to a repeating node in the target XML. The source contains an optional child element that may be absent for some occurrences. During testing, the mapping fails with a NullPointerException when the optional element is missing. What is the most appropriate way to handle this in the Message Mapping?

Accepted Answer

Use an if-else condition in the mapping expression to check for the existence of the source element before accessing it.. The correct approach is to guard the access to the optional source element with a conditional expression in the mapping. This prevents the runtime from evaluating a missing node, which would otherwise cause a null reference error. The other options either reference non-existent settings or attempt to solve the problem outside the mapping, which is not reliable for per-occurrence optional elements.

Answer

Enable the 'Suppress empty nodes' option in the mapping runtime configuration.

Answer

Set the mapping's 'Process missing values' property to 'Ignore' in the integration flow step properties.

Answer

Add a Content Modifier step before the mapping to insert a default value for the optional element.

Question 5

An integration developer is building an integration flow that must read a large CSV file from an SFTP server, split it into individual records, and write each record as a separate message to an SAP S/4HANA OData service. The developer wants to avoid loading the entire file into memory. Which step should be used to process the file record by record?

Accepted Answer

Splitter (General Splitter) with streaming enabled. The General Splitter with streaming enabled reads the CSV payload incrementally and emits one message per record, which keeps memory usage low and allows each record to be sent to the OData service separately. The other steps either transform a single message, copy the same message, or set metadata, and none of them can decompose a large file into individual messages without loading it entirely.

Answer

Message Mapping step with a one-to-many mapping

Answer

Content Modifier step with a CSV-to-XML conversion

Answer

Multicast step with parallel processing

Question 6

You are developing an integration flow in SAP Cloud Integration that needs to read a file from an SFTP server and then write the processed data to another SFTP server. Which two adapter types must you configure in the integration flow to achieve this?

Accepted Answer

SFTP sender adapter and SFTP receiver adapter.. The integration flow must read files from an SFTP server and write to another SFTP server. This requires an SFTP sender adapter to poll and retrieve files from the source, and an SFTP receiver adapter to send the processed data to the target. Other adapter types like Mail, HTTPS, or OData do not support SFTP file operations, so they cannot fulfill the requirement.

Answer

SFTP sender adapter and OData receiver adapter.

Answer

SFTP sender adapter and Mail receiver adapter.

Answer

HTTPS sender adapter and SFTP receiver adapter.

Question 7

An integration developer is configuring a Message Mapping step in SAP Cloud Integration. The source message contains a repeating node with multiple occurrences of an employee ID and name. The target structure requires a single concatenated string of all employee names separated by commas. Which mapping function should the developer use to achieve this?

Accepted Answer

Use the 'join' function with a comma as the delimiter on the repeating node.. To concatenate multiple occurrences of a repeating node into a single delimited string, the 'join' function is designed for this purpose. It takes a context and a delimiter, producing a single string with all values separated by the delimiter. Other functions like 'concat', 'split', or 'substring' do not perform this aggregation on repeating nodes, making 'join' the correct choice.

Answer

Use the 'substring' function to extract each name and then combine them.

Answer

Use the 'concat' function to combine the employee names directly.

Answer

Use the 'split' function to break the repeating node into individual strings and then reassemble.

Question 8

An integration developer is configuring a Message Mapping in SAP Cloud Integration. The target structure requires that for each Order element in the source, a corresponding OrderConfirmation element is created, but only when the Order/Status field equals 'APPROVED'. Which mapping technique should the developer use to achieve this conditional one-to-many transformation?

Accepted Answer

Use a one-to-many mapping with a context change and a condition check on the Status field before creating the target element.. The requirement is to conditionally create one target element per source element based on a field value. In SAP Cloud Integration Message Mapping, this is achieved with a one-to-many mapping combined with a context change to the source node and a condition check. The context change ensures the mapping operates per Order, and the condition (e.g., using the 'if' function) ensures only approved Orders produce an OrderConfirmation. Other mapping types do not support conditional element creation.

Answer

Use a many-to-one mapping with a join function to merge all Orders into a single OrderConfirmation.

Answer

Use a value mapping to translate the Status field to a boolean and then use a standard mapping to create the target element.

Answer

Use a one-to-one mapping with a standard function and rely on the target structure to filter out unwanted elements.

Question 9

You are troubleshooting an integration flow that uses a Request Reply step to call an external REST API. The API returns a JSON response, but the subsequent mapping step fails because the message body is not recognized as JSON. The integration flow has a Content Modifier step before the Request Reply that sets the header 'Content-Type' to 'application/json'. What is the most likely cause of the issue?

Accepted Answer

The Content Modifier sets the header on the request, but the response's Content-Type header is not being propagated or is being overwritten.. The most likely cause is that the response's Content-Type header is not being correctly propagated or is being overwritten. The Content Modifier sets the request header, but the response headers are separate. If the response lacks a proper Content-Type or it is altered, the mapping step may not parse the body as JSON. Ensuring the response's Content-Type is preserved or explicitly set to application/json before mapping resolves the issue.

Answer

The mapping step requires the message body to be converted to XML before processing JSON.

Answer

The Request Reply step does not support JSON responses and only handles XML.

Answer

The Content Modifier step must also set the 'Accept' header to 'application/json' to receive a JSON response.

Question 10

An integration developer is implementing error handling in an integration flow. The flow calls an external system that may return HTTP 500 errors. The developer wants to retry the call up to three times with a delay between attempts, and if all retries fail, send an alert and stop processing. Which two steps or configurations are required to achieve this? (Choose two.)

Accepted Answer

Configure the external call step with a retry interval and maximum retries.. To achieve retries with a delay, configure the adapter's retry settings (maximum retries and retry interval) directly on the external call step. This handles the retry logic automatically. If all retries fail, the flow will raise an exception, which can be caught by an Exception Subprocess. There, you can send an alert and ensure processing stops. Combining adapter-level retries with an Exception Subprocess for alerting fulfills the requirements without custom scripting.

Answer

Use a Groovy script to catch exceptions and implement a retry loop with sleep.

Answer

Use an Exception Subprocess with a Timer step to implement retries.

Answer

Add a Content Modifier step to set a header indicating the retry count.