C_C4H62_2408 SAP Certified Associate - Implementation Consultant - SAP Customer Data Cloud Question and Answers

In SAP Customer Data Cloud, you can maintain the following login identifier settings:

Option A: Incorrect. While custom login identifiers can be implemented, they are not natively supported as a standard option in the console.

Option B: Incorrect. Biometric identifiers (e.g., fingerprint or facial recognition) are not configurable as login identifiers in SAP Customer Data Cloud.

Option C: Correct. Ausernameis a standard login identifier that can be configured in the console.

Option D: Correct. Aphone numberis another standard login identifier that can be used for authentication.

References:

SAP Customer Data Cloud - Login Identifier Settings

Configuring Login Identifiers

The consent vault in SAP Customer Data Cloud is updated when there is a change in a user's consent status. The action that triggers this update is:

A: When a user opts out of a newsletter, their consent status changes, and this update is reflected in the consent vault.

The other options are incorrect:

B: Connecting an account to a social media network does not directly affect consent records.

C: Being taken to the Registration Completion screen does not involve changes to consent records.

D: Updating email and contact details does not impact consent unless explicitly tied to a consent-related action.

SAP Customer Data Cloud References:

Consent Vault Updates.

Consent Management Scenarios.

To check the session status in theiOS Swift SDK, you should use thegigya.isSessionAlive()method. This method determines whether the current session is active and valid.

Option A: Correct. Thegigya.isSessionAlive()method checks if the session is still valid by verifying the session token and its expiration time.

Option B: Incorrect. Thegigya.isLoggedIn()method checks if the user is logged in but does not verify the session's validity.

Option C: Incorrect.gigya.sessionExpirationTimestampprovides the timestamp of when the session expires but does not actively check the session status.

Option D: Incorrect.gigya.sharedInstance().sessionExpirationTimestampis similar to Option C and only provides the expiration timestamp without verifying the session.

References:

SAP Customer Data Cloud - iOS SDK

Session Management in iOS SDK

To achieveclean core operations, SAP recommends adhering to specific guiding principles that focus on maintaining a standardized, efficient, and sustainable IT landscape. The correct options are:

Option A: Correct. Establishing an organizational structure, technical foundation, and transformation methodology ensures alignment across teams and processes, enabling a clean core.

Option B: Correct. Integrating clean core practices into the end-to-end value process chain ensures that all business processes adhere to clean core principles.

Option C: Incorrect. While defining roles and responsibilities is important, it is not explicitly part of SAP's clean core guiding principles.

Option D: Incorrect. Establishing release management is a general IT practice but is not a specific clean core guiding principle.

Option E: Correct. Regular housekeeping tasks and procedures (e.g., cleaning up unused customizations) are essential for maintaining a clean core.

References:

SAP Clean Core Principles

Clean Core Best Practices

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.

When creating a new schedule for a dataflow in SAP Customer Data Cloud, you can manually configure the following parameters:

Option A: Incorrect. TheSchedule IDis automatically generated by the system and cannot be set manually.

Option B: Correct. TheExecution frequencydetermines how often the dataflow will run (e.g., daily, hourly, etc.). This is a key parameter when setting up a schedule.

Option C: Correct. TheEmail on success/failureoption allows you to specify email addresses to receive notifications about the schedule's execution status.

Option D: Incorrect. TheSchedule timeoutis not a configurable parameter in the scheduling interface. It is determined by the system based on the dataflow's complexity.

Option E: Correct. TheSchedule nameis a required parameter that allows you to identify and manage the schedule easily.

References:

SAP Customer Data Cloud - Dataflow Scheduling

Scheduling Best Practices

To connect and route events between an existing site hosted over a URL (using Web SDK) and the Android SDK, you should use theGigyaWebBridge. This component facilitates communication between the web and mobile environments, allowing seamless interaction.

B: TheGigyaWebBridgeis specifically designed to bridge the gap between the Web SDK and the Android SDK, enabling event routing and data sharing.

A:GigyaPluginViewis used for rendering specific plugins within the Android app but does not handle cross-environment communication.

C:GigyaSiteBridgeis not a valid component in the SAP Customer Data Cloud SDK.

D:GigyaWebViewis used for embedding web content within the app but does not provide event routing capabilities.

SAP Customer Data Cloud References:

GigyaWebBridge Documentation.

Integrating Web and Mobile SDKs.

The recommended approach to design afamily-relationship modelin SAP Customer Data Cloud is to use thefamily account group model. This allows you to group multiple user accounts under a single family account, enabling shared access and management of resources.

Option A: Incorrect. Setting up a family account data store schema is not a standard feature in SAP Customer Data Cloud and would require significant customization.

Option B: Incorrect. Using the profile custom data functionality is not suitable for modeling relationships between accounts. It is better suited for storing additional attributes for individual users.

Option C: Incorrect. Standard profile fields are insufficient for modeling complex relationships like family accounts.

Option D: Correct. Thefamily account group modelis specifically designed to represent relationships between accounts, such as parent-child or shared family memberships.

References:

SAP Customer Data Cloud - Family Account Groups

Account Group Models

In SAP Customer Data Cloud, you can perform specific actions on apermission group, which is used to manage user permissions and roles. The correct actions are:

Option A: Correct. You can delete a permission group if it is no longer needed. This action removes the group and its associated permissions.

Option B: Correct. You can map a permission group to a SAML provider group. This allows synchronization of permissions between SAP Customer Data Cloud and external identity providers using SAML.

Option C: Incorrect. Cloning a permission group is not a supported action in SAP Customer Data Cloud.

Option D: Incorrect. Duplicating a permission group is also not a supported feature.

References:

SAP Customer Data Cloud - Permission Groups

SAML Integration with Permission Groups

Dataflows in SAP Customer Data Cloud allow you to integrate and process data from various sources and targets. The following components can be added to dataflows:

A. Datasource: Represents the source of data, such as an S3 bucket, database, or API.

B. Datatarget: Represents the destination where processed data will be written, such as SAP Customer Data Cloud accounts or external systems.

C. File: Used for file-related operations, such as reading, writing, decrypting, compressing, or uncompressing files.

The other options are incorrect:

D. Social: Social components are not part of dataflow configurations. They are used for social identity integrations.

E. Field: Fields are attributes within data schemas and are not standalone components in dataflows.

SAP Customer Data Cloud References:

SAP Customer Data Cloud - Dataflows Overview.

Dataflow Components.

When usingSAP Enterprise Consent and Preference Management (ECPM)without SAP Customer Identity, the correct API call to collect consent isaccounts.setPolicies. This API allows you to update or set user preferences and consent policies directly.

Option A: Incorrect.accounts.initRegistrationis used to initialize the registration process for a new user and is unrelated to collecting consent.

Option B: Incorrect.accounts.loginis used to authenticate users and does not handle consent collection.

Option C: Correct.accounts.setPoliciesis specifically designed to manage user consent and preference policies, making it the appropriate choice for this scenario.

Option D: Incorrect.accounts.notifyLoginis used to notify SAP Customer Data Cloud about external login events and does not handle consent collection.

References:

SAP Enterprise Consent and Preference Management

accounts.setPolicies API Documentation

Webhooks in SAP Customer Data Cloud support the following features:

A. Notifications can contain multiple events: Webhook notifications can include multiple events in a single payload, allowing for efficient batch processing of related events.

C. Custom data fields can be added to the payload: SAP Customer Data Cloud allows you to configure webhooks to include custom data fields in the notification payload, enabling flexibility in data transfer.

The other options are incorrect:

B. Events are ordered per UID: While events may be grouped by UID, there is no guarantee of strict ordering within the payload. Event ordering must be handled externally if required.

D. Notifications are sent in a synchronous way: Webhook notifications are sent asynchronously, meaning the sender does not wait for the recipient to process the notification before continuing.

SAP Customer Data Cloud References:

SAP Customer Data Cloud - Webhooks Overview.

Webhook Notification Payload Structure.

To ensure that theFirst NameandLast Namefields are formatted in lowercase during an account export using dataflows, SAP recommends using therecord.evaluatecomponent with a custom transformation. This approach allows you to apply JavaScript functions (e.g.,toLowerCase) to transform the data as needed.

Option A: Incorrect. Thefield.renamecomponent is used to rename fields, not to modify their content.

Option B: Correct. Therecord.evaluatecomponent allows you to write custom JavaScript code to transform field values. For example, you can use thetoLowerCasefunction to format the fields in lowercase.

Option C: Incorrect. Thedatasource.read.gigya.accountcomponent is used to read account data, but it does not support applying transformations liketoLowerCasedirectly in its parameters.

Option D: Incorrect. Thefield.flattencomponent is used to flatten nested JSON structures, not to modify field values.

References:

SAP Customer Data Cloud - Dataflow Transformations

Record Evaluate Component Documentation

In SAP Customer Data Cloud, when defining a field in a schema, you can configure the following properties:

A. The field's name: This is the unique identifier for the field within the schema.

B. Whether the field is hidden: This property determines whether the field is visible or hidden in the user interface.

E. The field's type: Specifies the data type of the field (e.g., string, integer, boolean).

The other options are incorrect:

C. Whether the field is encrypted: Encryption is not a configurable property at the schema level. Encryption settings are typically managed at the system or database level.

D. Whether the field is compressed: Compression is not a configurable property for schema fields.

SAP Customer Data Cloud References:

Schema Field Properties.

Schema Editor Guide.

When a new user registers using Facebook login, their Facebook account identity is stored in theProfileschema. The Profile schema contains information about the user's identities, including social identities like Facebook, Google, etc.

The other options are incorrect:

B. Data store: The data store is used for storing custom data objects and is not related to user identities.

C. Subscriptions: The Subscriptions schema stores subscription-related data, not user identities.

D. Data: The Data schema is not a valid schema in SAP Customer Data Cloud.

SAP Customer Data Cloud References:

Profile Schema Overview.

Social Identity Management.

To fetch a preference object from a customer in SAP Customer Data Cloud, you should use theaccounts.getPoliciesAPI. This API retrieves the consent and preference policies associated with a user, including their preferences and consent status.

Option A: Correct. Theaccounts.getPoliciesAPI is specifically designed to retrieve user preferences and consent policies.

Option B: Incorrect. Theaccounts.getSchemaAPI retrieves the data schema of the account but does not provide information about preferences or consent.

Option C: Incorrect. Theaccounts.getAccountInfoAPI retrieves general account information but does not include detailed consent or preference data.

Option D: Incorrect. Theaccounts.getConsentStatementsAPI retrieves the list of available consent statements but does not fetch the specific preferences of a user.

References:

SAP Customer Data Cloud - Consent Management

accounts.getPolicies API Documentation

To keep a log of customer orders in SAP Customer Data Cloud, the recommended approach is tomodify the account's data schemaby adding anordersattribute. This attribute should be structured as an array of objects, where each object represents an order and contains relevant details (e.g., order ID, date, items).

Option A: Incorrect. Adding a custom type to the data store and providing a UID for each document is unnecessary complexity for this use case. The goal is to associate orders directly with user accounts.

Option B: Correct. Modifying the account's data schema to include anordersattribute as an array of objects is the most efficient and scalable way to store order logs within the user profile.

Option C: Incorrect. Adding a JSON document to the custom data is less structured and harder to manage compared to modifying the schema with a dedicatedordersattribute.

Option D: Incorrect. Updating the profile schema according to the order data structure is vague and does not specify how the data will be stored or managed.

References:

SAP Customer Data Cloud - Data Schema Customization

Customizing Account Data

To achieve and maintain clean core data quality in an SAP S/4HANA Cloud greenfield project, focus on the following aspects:

A. Timeliness: Ensures that data is up-to-date and reflects the current state of the business. Outdated data can lead to incorrect decisions.

C. Accuracy: Ensures that data is correct and free from errors. Inaccurate data can compromise business processes and reporting.

The other options are incorrect:

B. Stability: While stability is important for system performance, it is not directly related to data quality.

D. Efficiency: Efficiency pertains to process optimization and resource utilization, not data quality.

SAP S/4HANA Cloud References:

Data Quality Management in SAP S/4HANA Cloud.

Clean Core Principles.

When usingsite groups, certain features can be overridden at the child level to customize behavior for individual sites. These include:

Option A: Incorrect. Thelogin identifier(e.g., email or username) is defined at the site group level and cannot be overridden at the child level.

Option B: Correct. Thedefault login and registration screen-setcan be customized at the child level to provide a unique user experience for each site.

Option C: Incorrect. Thedata schemais shared across the site group and cannot be overridden at the child level.

Option D: Correct. TheNew User Welcome email templatecan be customized at the child level to tailor the messaging for each site.

Option E: Correct. TheWeb SDK configurationcan be overridden at the child level to adjust settings like API keys or custom domains for individual sites.

References:

SAP Customer Data Cloud - Site Group Features

Customizing Child Sites

OpenID Connect (OIDC) is an identity layer built on top of the OAuth 2.0 protocol, enabling clients to verify the identity of the end-user based on the authentication performed by an authorization server. The following terms are part of OpenID Connect terminology:

Claims: These are pieces of information about the user (e.g., name, email, etc.) that are returned in the ID token or userinfo response. Claims represent the attributes of the authenticated user and are essential for conveying identity information.

Scope: This defines the level of access requested by the client application. In OpenID Connect, scopes are used to specify what claims should be returned in the ID token or userinfo response. For example, theopenidscope is required for OpenID Connect authentication, while additional scopes likeprofileoremailcan request more user details.

The other options are not directly part of OpenID Connect terminology:

Metadata: While metadata exists in the context of OpenID Connect (e.g., provider configuration metadata), it is not a core term within the protocol itself.

Assertion: This term is more commonly associated with SAML (Security Assertion Markup Language) rather than OpenID Connect.

SAP Customer Data Cloud References:

SAP Customer Data Cloud supports OpenID Connect as part of its identity management capabilities. The platform allows integration with OIDC-compliant identity providers.

Official SAP Documentation:SAP Customer Data Cloud - OpenID Connect Integration.

OpenID Connect Core Specification:OpenID Connect Core 1.0.

In SAP Customer Data Cloud, privileges can be defined and managed usingpermission groups. Permission groups allow administrators to assign specific roles and permissions to users or applications, ensuring proper access control.

Option A: Permission groups are the primary mechanism for defining privileges in the console. They enable granular control over what actions users or applications can perform.

Option B: IP restrictions are used to limit access based on IP addresses but do not define privileges.

Option C: Creating administrators and applications is part of user and application management, not privilege definition.

Option D: Auditing capabilities are used for tracking and monitoring activities, not for defining privileges.

SAP Customer Data Cloud References:

SAP Customer Data Cloud - Permission Groups.

Access Management Overview.