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Salesforce Certified Data Cloud Consultant Sample Questions (Q138-Q143):

NEW QUESTION # 138
A customer has a Master Customer table from their CRM to ingest into Data Cloud. The table contains a name and primary email address, along with other personally Identifiable information (Pll).
How should the fields be mapped to support identity resolution?

A. Map name to the Individual object and email address to the Contact Phone Email object.
B. Create a new custom object with fields that directly match the incoming table.
C. Map all fields to the Individual object, adding a custom field for the email address.
D. Map all fields to the Customer object.

Answer: A

Explanation:
To support identity resolution in Data Cloud, the fields from the Master Customer table should be mapped to the standard data model objects that are designed for this purpose. The Individual object is used to store the name and other personally identifiable information (PII) of a customer, while the Contact Phone Email object is used to store the primary email address and other contact information of a customer. These objects are linked by a relationship field that indicates the contact information belongs to the individual. By mapping the fields to these objects, Data Cloud can use the identity resolution rules to match and reconcile the profiles from different sources based on the name and email address fields. The other options are not recommended because they either create a new custom object that is not part of the standard data model, or map all fields to the Customer object that is not intended for identity resolution, or map all fields to the Individual object that does not have a standard email address field. References: Data Modeling Requirements for Identity Resolution, Create Unified Individual Profiles

NEW QUESTION # 139
What does it mean to build a trust-based, first-party data asset?

A. To obtain competitive data from reliable sources through interviews, surveys, and polls
B. To ensure opt-in consents are collected for all email marketing as required by law
C. To provide transparency and security for data gathered from individuals who provide consent for its use and receive value in exchange
D. To provide trusted, first-party data in the Data Cloud Marketplace that follows all compliance regulations

Answer: C

Explanation:
Building a trust-based, first-party data asset means collecting, managing, and activating data from your own customers and prospects in a way that respects their privacy and preferences. It also means providing them with clear and honest information about how you use their data, what benefits they can expect from sharing their data, and how they can control their data. By doing so, you can create a mutually beneficial relationship with your customers, where they trust you to use their data responsibly and ethically, and you can deliver more relevant and personalized experiences to them. A trust-based, first-party data asset can help you improve customer loyalty, retention, and growth, as well as comply with data protection regulations and standards. References: Use first-party data for a powerful digital experience, Why first-party data is the key to data privacy, Build a first-party data strategy

NEW QUESTION # 140
Which statement is true related to batch ingestions from Salesforce CRM?

A. The CRM connector's synchronization times can be customized to up to 15-minute intervals.
B. The CRM connector performs an incremental refresh when 600K or more deletion records are detected.
C. When a column is added or removed, the CRM connector performs a full refresh.
D. CRM data cannot be manually refreshed and must wait for the next scheduled synchronization.

Answer: C

Explanation:
The question asks which statement is true about batch ingestions from Salesforce CRM into Salesforce Data Cloud. Batch ingestion refers to the process of periodically syncing data from Salesforce CRM (e.g., Accounts, Contacts, Opportunities) into Data Cloud. The focus is on how the CRM connector handles changes in data structure (e.g., adding or removing columns) and synchronization behavior.
Why A is Correct: "When a column is added or removed, the CRM connector performs a full refresh." Behavior of the CRM Connector :
The Salesforce CRM connector automatically detects schema changes, such as when a field (column) is added or removed in the source CRM object.
When such changes occur, the CRM connector triggers a full refresh of the data for that object. This ensures that the data model in Data Cloud aligns with the updated schema in Salesforce CRM.
Why a Full Refresh is Necessary :
A full refresh ensures that all records are re-ingested with the updated schema, avoiding inconsistencies or missing data caused by incremental updates.
Incremental updates only capture changes (e.g., new or modified records), so they cannot handle schema changes effectively.
Other Options Are Incorrect :
B . The CRM connector performs an incremental refresh when 600K or more deletion records are detected : This is incorrect because the CRM connector does not switch to incremental refresh based on the number of deletion records. It always performs incremental updates unless a schema change triggers a full refresh.
C . The CRM connector's synchronization times can be customized to up to 15-minute intervals : While synchronization schedules can be customized, the minimum interval is typically 1 hour , not 15 minutes.
D . CRM data cannot be manually refreshed and must wait for the next scheduled synchronization : This is incorrect because users can manually trigger a refresh of CRM data in Data Cloud if needed.
Steps to Understand CRM Connector Behavior
Step 1: Schema Changes Trigger Full Refresh
If a field is added or removed in Salesforce CRM, the CRM connector detects this change and initiates a full refresh of the corresponding object in Data Cloud.
Step 2: Incremental Updates for Regular Syncs
For regular synchronization, the CRM connector performs incremental updates, capturing only new or modified records since the last sync.
Step 3: Manual Refresh Option
Users can manually trigger a refresh in Data Cloud if immediate synchronization is required, bypassing the scheduled sync.
Step 4: Monitor Synchronization Logs
Use the Data Cloud Monitoring tools to track synchronization status, including full refreshes and incremental updates.
Conclusion
The statement "When a column is added or removed, the CRM connector performs a full refresh" is true. This behavior ensures that the data model in Data Cloud remains consistent with the schema in Salesforce CRM, avoiding potential data integrity issues.

NEW QUESTION # 141
Cumulus Financial wants to be able to track the daily transaction volume of each of its customers in real time and send out a notification as soon as it detects volume outside a customer's normal range.
What should a consultant do to accommodate this request?

A. Use streaming data transform with a flow.
B. Use a calculated insight paired with a flow.
C. Use streaming data transform combined with a data action.
D. Use a streaming insight paired with a data action

Answer: D

Explanation:
A streaming insight is a type of insight that analyzes streaming data in real time and triggers actions based on predefined conditions. A data action is a type of action that executes a flow, a data action target, or a data action script when an insight is triggered. By using a streaming insight paired with a data action, a consultant can accommodate Cumulus Financial's request to track the daily transaction volume of each customer and send out a notification when the volume is outside the normal range. A calculated insight is a type of insight that performs calculations on data in a data space and stores the results in a data extension. A streaming data transform is a type of data transform that applies transformations to streaming data in real time and stores the results in a data extension. A flow is a type of automation that executes a series of actions when triggered by an event, a schedule, or another flow. None of these options can achieve the same functionality as a streaming insight paired with a data action. References: Use Insights in Data Cloud Unit, Streaming Insights and Data Actions Use Cases, Streaming Insights and Data Actions Limits and Behaviors

NEW QUESTION # 142
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?

A. CONCAT
B. COMBIN
C. CAST
D. COALE

Answer: A

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)
References:
* Salesforce Documentation: Formula Functions
* Salesforce Data Cloud Guide

NEW QUESTION # 143
......

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