Salesforce Certified Data Cloud Consultant Practice Test - Questions Answers, Page 12
List of questions
Question 111
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A consultant notices that the unified individual profile is not storing the latest email address.
Which action should the consultant take to troubleshoot this issue?
Explanation:
Understanding Unified Individual Profile:
The unified individual profile combines data from multiple sources to create a comprehensive view of each customer.
Issue with Latest Email Address:
If the latest email address is not being stored, the reconciliation rules, which determine how data from different sources is combined and updated, may be incorrectly configured.
Reconciliation Rules:
These rules define which data source has priority and how conflicts are resolved when combining data.
Ensuring that these rules are correctly configured is essential for maintaining accurate and up-to-date profiles.
Steps to Troubleshoot:
Navigate to the reconciliation rules settings in Salesforce Data Cloud.
Review the current rules to ensure the correct handling of email addresses.
Verify that the rules prioritize the most recent data and handle duplicates appropriately.
Question 112
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A consultant needs to publish segment data to the Audience DMO that can be retrieved using the Query APIs.
When creating the activation target, which type of target should the consultant select?
Explanation:
Purpose of Activation Targets:
Activation targets define where and how segment data is published for use in various applications and platforms.
Types of Activation Targets:
Data Cloud: Internal target within Salesforce Data Cloud.
External Activation Target: Used to publish data outside Salesforce, accessible via APIs.
Marketing Cloud Personalization: Specific to Salesforce Marketing Cloud.
Marketing Cloud: Broader Salesforce Marketing Cloud integration.
Choosing the Right Target:
For retrieving segment data using Query APIs, an external activation target is appropriate as it facilitates data access from outside systems.
Steps to Create an External Activation Target:
Navigate to the activation settings in Salesforce Data Cloud.
Select 'Create New Activation Target' and choose 'External Activation Target.'
Configure the target with the necessary API details for external access.
Question 113
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What is the primary purpose of Data Cloud?
Explanation:
Primary Purpose of Data Cloud:
Salesforce Data Cloud's main function is to integrate and unify customer data from various sources, creating a single, comprehensive view of each customer.
Benefits of Data Integration and Unification:
Golden Record: Providing a unified, accurate view of the customer.
Enhanced Analysis: Enabling better insights and analytics through comprehensive data.
Improved Customer Engagement: Facilitating personalized and consistent customer experiences across channels.
Steps for Data Integration:
Ingest data from multiple sources (CRM, marketing, service platforms).
Use data harmonization and reconciliation processes to unify data into a single profile.
Practical Application:
Example: A retail company integrates customer data from online purchases, in-store transactions, and customer service interactions to create a unified customer profile.
This unified data enables personalized marketing campaigns and improved customer service.
Question 114
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A consultant is ingesting a list of employees from their human resources database that they want to segment on.
Which data stream category should the consultant choose when ingesting this data?
Explanation:
Categories of Data Streams:
Profile Data: Customer profiles and demographic information.
Contact Data: Contact points like email and phone numbers.
Other Data: Miscellaneous data that doesn't fit into the other categories.
Engagement Data: Interactions and behavioral data.
Ingesting Employee Data:
Employee data typically doesn't fit into profile, contact, or engagement categories meant for customer data.
'Other Data' is appropriate for non-customer-specific data like employee information.
Steps to Ingest Employee Data:
Navigate to the data ingestion settings in Salesforce Data Cloud.
Select 'Create New Data Stream' and choose the 'Other Data' category.
Map the fields from the HR database to the corresponding fields in Data Cloud.
Practical Application:
Example: A company ingests employee data to segment internal communications or analyze workforce metrics.
Choosing the 'Other Data' category ensures that this non-customer data is correctly managed and utilized.
Question 115
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The leadership team at Cumulus Financial has determined that customers who deposited more than $250,000 in the last five years and are not using advisory services will be the central focus for all new campaigns in the next year.
Which features support this use case?
Explanation:
Understanding the Use Case:
The leadership team wants to focus on customers who have deposited more than $250,000 in the last five years and are not using advisory services.
Features Involved:
Calculated Insight: This feature helps derive metrics and values based on existing data. In this case, it can calculate total deposits over the last five years.
Segment: Segmentation allows targeting specific groups of customers based on defined criteria, such as total deposits and usage of advisory services.
Steps to Implement:
Create a Calculated Insight:
Navigate to Visual Insights Builder in Salesforce Data Cloud.
Create a new calculated insight to sum deposits for each customer over the last five years.
Create a Segment:
Use the Segment Canvas to create a new segment.
Apply filters to include customers with deposits over $250,000 and exclude those using advisory services.
Practical Application:
Example: Identify high-value customers who are not leveraging additional services and target them with personalized marketing campaigns to promote advisory services.
Question 116
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Which two dependencies need to be removed prior to disconnecting a data source?
Choose 2 answers
Explanation:
Dependencies in Data Cloud:
Before disconnecting a data source, all dependencies must be removed to prevent data integrity issues.
Identifying Dependencies:
Segment: Segments using data from the source must be deleted or reassigned.
Data Stream: The data stream must be disconnected, as it directly relies on the data source.
Steps to Remove Dependencies:
Remove Segments:
Navigate to the Segmentation interface in Salesforce Data Cloud.
Identify and delete segments relying on the data source.
Disconnect Data Stream:
Go to the Data Stream settings.
Locate and disconnect the data stream associated with the source.
Practical Application:
Example: When preparing to disconnect a legacy CRM system, ensure all segments and data streams using its data are properly removed or migrated.
Question 117
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How does Data Cloud ensure data privacy and security?
Explanation:
Data Privacy and Security in Data Cloud:
Ensuring data privacy and security is paramount in Salesforce Data Cloud.
Key Security Measures:
Encrypting Data at Rest and in Transit:
Data encryption ensures that information is protected from unauthorized access both when stored and when transmitted.
Enforcing and Controlling Consent Preferences:
Consent management ensures that data usage complies with customer permissions and regulatory requirements.
Steps to Implement Security Measures:
Data Encryption:
Enable encryption for data at rest using Salesforce Shield.
Ensure TLS/SSL encryption is used for data in transit.
Consent Management:
Set up and enforce consent preferences within Data Cloud.
Regularly audit and update consent records.
Practical Application:
Example: A financial institution uses encryption to secure customer financial data and manages consent to comply with GDPR.
Question 118
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How does Data Cloud ensure data privacy and security?
Explanation:
Data Privacy and Security in Data Cloud:
Ensuring data privacy and security is paramount in Salesforce Data Cloud.
Key Security Measures:
Encrypting Data at Rest and in Transit:
Data encryption ensures that information is protected from unauthorized access both when stored and when transmitted.
Enforcing and Controlling Consent Preferences:
Consent management ensures that data usage complies with customer permissions and regulatory requirements.
Steps to Implement Security Measures:
Data Encryption:
Enable encryption for data at rest using Salesforce Shield.
Ensure TLS/SSL encryption is used for data in transit.
Consent Management:
Set up and enforce consent preferences within Data Cloud.
Regularly audit and update consent records.
Practical Application:
Example: A financial institution uses encryption to secure customer financial data and manages consent to comply with GDPR.
Question 119
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Cumulus Financial needs to create a composite key on an incoming data source that combines the fields Customer Region and Customer Identifier.
Which formula function should a consultant use to create a composite key when a primary key is not available in a data stream?
Explanation:
Composite Keys in Data Streams: When working with data streams in Salesforce Data Cloud, there may be situations where a primary key is not available. In such cases, creating a composite key from multiple fields ensures unique identification of records.
Formula Functions: Salesforce provides several formula functions to manipulate and combine data fields. Among them, the CONCAT function is used to combine multiple strings into one.
Creating Composite Keys: To create a composite key using CONCAT, a consultant can combine the values of Customer Region and Customer Identifier into a single unique identifier.
Example Formula: CONCAT(Customer_Region, Customer_Identifier)
Salesforce Documentation: Formula Functions
Salesforce Data Cloud Guide
Question 120
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A customer has two Data Cloud orgs. A new configuration has been completed and tested for an Amazon S3 data stream and its mappings in one of the Data Cloud orgs.
What is recommended to package and promote this configuration to the customer's second org?
Explanation:
Data Cloud Configuration Promotion: When managing configurations across multiple Salesforce Data Cloud orgs, it's essential to use tools that ensure consistency and accuracy in the promotion process.
Data Kits: Salesforce Data Cloud allows users to package and promote configurations using data kits. These kits encapsulate data stream definitions, mappings, and other configuration elements into a portable format.
Process:
Create a data kit in the source org that includes the Amazon S3 data stream configuration and mappings.
Export the data kit from the source org.
Import the data kit into the target org, ensuring that all configurations are transferred accurately.
Advantages: Using data kits simplifies the migration process, reduces the risk of configuration errors, and ensures that all settings and mappings are consistently applied in the new org.
Salesforce Data Cloud Developer Guide
Salesforce Data Cloud Packaging
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