SAP C_C4H62_2408 - SAP Certified Associate - Implementation Consultant - SAP Customer Data Cloud

When building a dataflow to transfer existing users' subscriptions from a marketing system to SAP Customer Data Cloud, the following actions are necessary:

Decrypt the PGP-encrypted file: Since the source file is encrypted, you must use thefile.decrypt.pgpcomponent to decrypt it before processing.

Handle errors during account updates: After writing data to SAP Customer Data Cloud using thedatasource.write.gigya.accountcomponent, you should add an error-handling step to capture records that fail to update.

Compress failed records: Failed records need to be zipped and sent back to the S3 bucket. Thefile.compress.zipcomponent is used for this purpose.

Option B: Adding an error-handling step afterdatasource.read.amazon.s3is unnecessary because errors at this stage are typically related to file retrieval, not data processing.

Option D: Thefile.encrypt.pgpandfile.uncompress.zipcomponents are irrelevant to this scenario, as the requirement is to decrypt and compress, not encrypt or uncompress.

SAP Customer Data Cloud References:

SAP Customer Data Cloud - Dataflows Overview.

Dataflow Components - File Operations.

Error Handling in Dataflows.

To configure a dataflow to run regularly, SAP recommends two best-practice options:

Option A: Correct. Using thedataflow schedulerin the SAP Customer Data Cloud Console is the most straightforward way to configure regular execution. You can define the schedule directly in the UI.

Option B: Incorrect. Theidx.setDataflowendpoint is used to update dataflow configurations, not to schedule them.

Option C: Correct. Usingextensionsand scheduling the dataflow via an extension endpoint provides flexibility and allows for advanced scheduling scenarios, such as triggering the dataflow based on external events.

Option D: Incorrect. Theidx.createSchedulingendpoint is not a valid API endpoint for scheduling dataflows.

References:

SAP Customer Data Cloud - Dataflow Scheduling

Extensions and Custom Scheduling

To add a new custom field to the accounts schema in SAP Customer Data Cloud, you can use the following methods:

A. Use the REST API and call the accounts.setSchema endpoint: This allows you to programmatically update the schema by defining the new field in a JSON payload.

C. Use the schema editor in the admin console: The schema editor provides a user-friendly interface for adding, modifying, or deleting fields in the schema.

The other options are incorrect:

B. Upload the new structure using a JSON file via the console: This is not a supported method for updating the schema.

D. Contact the SAP support team to request the field be added: Schema updates are self-service and do not require SAP support intervention.

SAP Customer Data Cloud References:

API Reference - accounts.setSchema.

Schema Editor Guide.

In an OpenID Connect (OIDC) flow, there are typically three main roles involved: theRelying Party (RP), theIdentity Provider (IdP), and theService Provider (SP). The RP is the application or service that wants to authenticate a user, while the IdP is responsible for authenticating the user and providing identity information. The SP is the entity that relies on the authentication provided by the IdP.

When configuring a website to allow users to log in using their existing company credentials via an OIDC flow,SAP Customer Data Cloud (CDC)acts as theIdentity Provider (IdP). This means that SAP CDC will handle the authentication of users and provide the necessary identity tokens to the website. The website, on the other hand, acts as theService Provider (SP), relying on SAP CDC to authenticate users.

Option A: Correct. In this scenario, SAP Customer Data Cloud serves as the Identity Provider (IdP), and the website serves as the Service Provider (SP). The website delegates the authentication process to SAP CDC, which verifies the user's credentials and returns the appropriate tokens.

Option B: Incorrect. SAP Customer Data Cloud cannot act as the SP in this context because it is responsible for authenticating users, not consuming authentication from another provider.

Option C: Incorrect. The website cannot act as the OpenID Provider (OP) because it is not responsible for authenticating users. Instead, it relies on SAP CDC for authentication.

Option D: Incorrect. The website cannot act as the Identity Provider (IdP) because it does not manage user identities or credentials; SAP CDC does.

References:

SAP Customer Data Cloud - Authentication Flows

SAP Customer Data Cloud - OIDC Integration