Pass the SAP SAP Certified Associate C_C4H620_34 Questions and answers with CertsForce

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

Schema Editor in the Admin Console: This is a user-friendly interface within the admin Console where you can visually add and configure custom fields directly in the accounts schema.

Navigate to the schema editor.

Add the new custom field with the desired attributes and settings.

Save the changes to update the schema.

REST API (accounts.setSchema): This method allows for programmatic updates to the accounts schema.

Make an API call toaccounts.setSchemawith the necessary parameters to define the new custom field.

Include the field's name, type, and any other required attributes in the request payload.

Both methods provide flexibility in how you manage and extend the user schema to include additional custom fields based on your specific requirements.

References

SAP Customer Data Cloud Schema Editor Documentation

SAP Customer Data Cloud REST API Documentation

The recommended methods for adding dynamic data to a consent record in SAP Customer Data Cloud are:

Tags:

Tags can be used to add metadata to consent records, allowing for flexible and dynamic categorization and filtering.

Placeholders:

Placeholders are used to insert dynamic data into consent records. They allow for context-specific information to be included in consent statements.

These methods help in making the consent records more dynamic and tailored to specific requirements.

References

SAP Customer Data Cloud Consent Management Documentation

When creating a dataflow to synchronize existing users' subscriptions from the marketing system to SAP Customer Data Cloud with the given requirements, you need to perform the following actions:

File Decrypt and Compress Components: Add a file decrypt.pgp component to decrypt the PGP-encrypted file provided by the marketing system and a file compress.zip component to compress the failed records before sending them back to the S3 bucket.

file.decrypt.pgp: Decrypts the incoming PGP-encrypted file.

file.compress.zip: Compresses the records that failed to update.

Error Handling Step: Add an error handling step after the datasource.write.gigya.account component to manage records that fail to update in the SAP Customer Data Cloud.

Error Handling: This step ensures that any records that fail to update are processed and handled appropriately, including being zipped and sent back to the S3 bucket.

These actions ensure that the dataflow handles encryption, compression, and error management effectively.

References

SAP Customer Data Cloud Dataflow Documentation

To make the dataflow execute successfully, you need to change the order of the components to:account -> json -> sftp.

Change the order of components:

Theaccountcomponent reads data from SAP Customer Data Cloud.

Thejsoncomponent formats the data into JSON.

Thesftpcomponent writes the formatted JSON data to an SFTP server.

Correctly ordering the components ensures the data is processed and transformed correctly before being exported.

References

SAP Customer Data Cloud Dataflow Configuration Documentation

To ensure that existing users reconsent on their next login after a major update to the terms of service, you should:

Update both Version and Reconsent cutoff:

TheVersionfield update indicates a new version of the terms.

TheReconsent cutoffdate forces users to reconsent from a specific date onwards.

This combination ensures that all users are prompted to reconsent to the updated terms upon their next login.

References

SAP Customer Data Cloud Reconsent Documentation

Webhooks in SAP Customer Data Cloud support the following features:

Custom Data Fields: Custom data fields can be added to the payload, allowing for the inclusion of specific information tailored to the needs of your application or workflow.

Multiple Events: Notifications can contain multiple events, providing a comprehensive update within a single notification. This feature is useful for aggregating related events and reducing the number of individual notifications sent.

These features enhance the flexibility and efficiency of webhooks, enabling more customized and informative notifications.

References

SAP Customer Data Cloud Webhooks Documentation

To use the CIAM for B2B Web SDK to return a list of permissions of the currently logged-in customer, you should use the following API call:

gigya.accounts.getAccountInfo()with the include parameter set to Groups.

This API call retrieves detailed account information, including the permissions associated with the user's groups.

References

SAP Customer Data Cloud API Documentation

If screen-sets are displayed in the wrong language after uploading CSV translation files, you can fix this by:

Using lang parameter in Web SDK configuration: Setting thelangparameter in the Web SDK configuration ensures that the screen-sets are displayed in the correct language.

This parameter explicitly specifies the language to be used, overriding any automatic or incorrect settings.

References

SAP Customer Data Cloud Localization Documentation

When executing an accounts search query via the SAP Customer Data Cloud REST API, the response includes an "identities" array. This array is designed to store the social identities of the user. Social identities refer to the various social login accounts (such as Facebook, Google, LinkedIn, etc.) that a user has linked to their account within the SAP Customer Data Cloud. This information is critical for recognizing the different social media profiles that are associated with a single user account in the system.

Identities Array: This array includes objects representing each social identity linked to the user's account.

Social Identities: Each object within the identities array contains details about a specific social media account, such as the provider (e.g., Facebook, Google), the provider UID, and other related data.

Usage: This feature allows for the aggregation of user data across multiple social platforms, providing a comprehensive view of user identity.

References

SAP Customer Data Cloud API Documentation

SAP Help Portal

To ensure you use the correct public key when validating a JWT, you need to check:

The keyid of the public key is the same as the keyID in the JWT header: This ensures that the correct public key is used to validate the signature of the JWT.

Matching thekeyidhelps in selecting the correct key from a set of keys, ensuring the JWT validation process is accurate.

References

JWT Validation Guide