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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

When setting up SAP Customer Data Cloud as a SAML Identity Provider (IdP), two key pages are required: theAssertion pageand theProxy page.

Assertion Page: This page is responsible for generating and sending the SAML assertion to the Service Provider (SP). It contains the logic to construct the SAML response, including user attributes and authentication status.

Proxy Page: The Proxy page acts as an intermediary between the SP and the IdP. It handles the redirection of users during the SAML flow and ensures that the SAML request and response are properly processed.

Option C: Incorrect. The Error page is optional and is used to display error messages. It is not a key page required for the setup.

Option D: Incorrect. The Consent page is used for obtaining user consent for data sharing and is not directly related to the SAML setup.

References:

SAP Customer Data Cloud - SAML Configuration

SAML Protocol Overview

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

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

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 a JSON Web Token (JWT), thesub(subject) claim represents the unique identifier of the user. It is a standard claim defined in the JWT specification (RFC 7519) and is used to identify the principal (user) that is the subject of the token. Thesubclaim is mandatory in many identity protocols, including OpenID Connect (OIDC), where it serves as the UID of the user.

Option A: Incorrect. Thekid(key ID) is used to identify the cryptographic key used to sign the token, not the user.

Option B: Incorrect. Theidclaim is not a standard JWT claim and is not used to represent the UID of the user.

Option C: Incorrect. TheuserKeyis not a standard JWT claim and does not represent the UID of the user.

Option D: Correct. Thesubclaim is the standard attribute in a JWT that represents the UID of the user.

References:

JSON Web Token (JWT) RFC 7519

OpenID Connect Core Specification

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.

To export only users who have granted consent using dataflows, you should:

A: Use thedatasource.read.gigya.accountcomponent with theconsentparameter. This allows you to filter users based on their consent status, ensuring that only those who have granted consent are included in the export.

The other options are incorrect:

B: Thedatasource.write.sftpcomponent is used for writing data to an SFTP server but does not filter data based on consent.

C: Thedatasource.read.gigya.dscomponent reads data from the data store, not from user accounts, and thedeltaFieldparameter is unrelated to consent filtering.

D: Thedatasource.write.gigya.accountcomponent is used for updating account data, not for filtering or exporting based on consent.

SAP Customer Data Cloud References:

Dataflows Overview.

Filtering Data Based on Consent.

To add a data object to the data store in SAP Customer Data Cloud, the following keys are required:

A. datatype: Specifies the type of data being stored (e.g., "profile", "subscription").

C. user identifier: Identifies the user to whom the data object belongs. This is typically the UID or another unique identifier for the user.

The other options are incorrect:

B. object identifier: While an object identifier may be useful for retrieving or managing specific data objects, it is not required to add a new data object.

D. type: This is not a valid key for adding data objects to the data store.

SAP Customer Data Cloud References:

Data Store Overview.

Adding Data Objects.

The authorization framework that supports bothcoarse-grainedandfine-grainedauthorization isaccess control based on attributes. Attribute-based access control (ABAC) uses attributes (e.g., user roles, resource types, environmental conditions) to define policies that can range from broad (coarse-grained) to highly specific (fine-grained).

Option A: Incorrect. Role-based access control (RBAC) primarily supports coarse-grained authorization and lacks the flexibility for fine-grained control.

Option B: Incorrect. Access control based on lists and roles combines RBAC with access control lists but still lacks the granularity of ABAC.

Option C: Correct. Attribute-based access control (ABAC) supports both coarse-grained and fine-grained authorization by leveraging attributes to define dynamic and context-aware policies.

Option D: Incorrect. Policy-based access control is a broader term and may include ABAC, but it is not inherently designed for both coarse- and fine-grained authorization.

References:

SAP Customer Data Cloud - Authorization Frameworks

Attribute-Based Access Control (ABAC)