Free Practice Questions for SAP C_C4H620_34 Exam

To run a dataflow regularly, the best-practice options include:

Use the dataflow scheduler of the Console and add a schedule:

This built-in feature allows you to schedule dataflows to run at specific intervals directly from the Console.

Use the idx.createScheduling endpoint via an API call:

This API endpoint allows you to programmatically schedule dataflows, providing flexibility in automation and integration with other systems.

Both methods ensure that dataflows are executed regularly according to the defined schedule.

References

SAP Customer Data Cloud Dataflow Scheduler Documentation

When you require custom logic for real-time data synchronization after installing the GConnector, the recommended approach is to use custom hooks. Custom hooks allow you to inject your own logic at specific points in the data processing workflow.

Custom Hooks: These are custom functions that can be executed during the synchronization process to handle specific business requirements or data transformation needs.

Implementation: You can define custom hooks in the configuration of your GConnector to execute custom logic when certain events occur or data needs to be processed in a particular way.

This approach ensures that you can tailor the synchronization process to meet specific business needs without altering the core functionality of the GConnector.

References

SAP Customer Data Cloud GConnector Documentation

To add a data object to the Data Store in SAP Customer Data Cloud, you need to provide the following keys:

type: This key specifies the type of data object being added. It helps in categorizing and managing different types of data within the Data Store.

object identifier: This key uniquely identifies the data object within the Data Store, ensuring that each object can be referenced and accessed individually.

These keys are essential for correctly storing and managing data objects in the Data Store, allowing for efficient data retrieval and organization.

References

SAP Customer Data Cloud Data Store Documentation

Within SAP Customer Data Cloud, permission groups can be managed to control access and permissions. The following actions can be performed on a permission group:

Clone group: This allows you to create a duplicate of an existing permission group, making it easier to set up new groups with similar permissions without starting from scratch.

Delete group: This action removes an existing permission group from the system, thereby revoking all permissions associated with it.

These functionalities help in efficiently managing user permissions and access controls within the system.

References

SAP Customer Data Cloud Documentation on Permission Groups

The recommended approach to make a native API call, such asgetAccountinfo, from an Android client is to:

Use internal SDK method Gigya.getInstance().send to call the API method with an application key and secret (D): This method allows you to securely call the API using the provided application key and secret.

References

SAP Customer Data Cloud Android SDK Documentation

SAP Help Portal on Native API Calls

In SAP Customer Data Cloud, the segments of the accounts database include:

Profile Data: Contains user-specific information such as name, email, and other personal details.

Custom Data: Allows for storing additional custom attributes defined by the implementation.

System Data: Includes system-generated information related to the user account.

These segments are used to store and manage different types of user data within the accounts database.

References

SAP Customer Data Cloud Data Segments Documentation

When setting up a social network using the identity provider screen in the Console, the following settings must be configured:

Social Network App Secret: This is a crucial setting that acts as a security credential, ensuring that the application making the request is indeed the authorized app.

Social Network App ID: This identifier is unique to the application registered on the social network platform and is used to identify the application when making API calls.

These settings are essential for establishing a secure connection between SAP Customer Data Cloud and the social network, enabling social login and other integrated features.

References

SAP Customer Data Cloud Integration Guide

The information recorded automatically for each consent entry in the consent vault includes the following:

Consent version (B): This tracks the version of the consent statement or document that the user has agreed to, ensuring that the specific terms to which the user consented are recorded.

Purpose (D): This details the reason or intent behind collecting the user's consent, which helps in maintaining transparency and compliance with regulations.

Related product (E): This identifies the product or service related to the consent given, linking the consent to the specific context in which it was provided.

References

SAP Customer Data Cloud Implementation Documentation

SAP Help Portal on Consent Management

When creating a new schedule in a dataflow, you can manually set the following parameters:

Schedule name (A): Defines the name of the schedule for identification purposes.

Email on success/failure (C): Specifies the email addresses to notify upon success or failure of the dataflow execution.

Execution frequency (D): Determines how often the dataflow should be executed (e.g., daily, weekly).

References

SAP Customer Data Cloud Dataflow Documentation

SAP Help Portal on Dataflow Scheduling

The error when calling the methodgigya.accounts.switchScreen([screenSet Default-RegistrationLogin", screen 'new-screen-id']);is due to the absence of the:

containerID parameter (C): This parameter specifies the container in which the screen should be rendered.

References

SAP Customer Data Cloud Mobile SDK Documentation

SAP Help Portal on Screen-Sets and UI Customization