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| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Data Cloud Consultant |
| Exam Number: | Data-Con-101 |
| Related Certifications: | Salesforce Marketing Cloud Engagement Salesforce Platform App Builder Salesforce Certified Administrator |
| Available Languages: | English |
| Exam Price: | $200 USD |
| Certificate Validity Period: | Maintenance required annually (Trailhead maintenance program) |
| Real Exam Qty: | 60-65 |
| Exam Duration: | 105 minutes |
| Passing Score: | 68% |
| Exam Format: | Multiple Select, Multiple Choice |
| Recommended Training: | Salesforce Partner Training Resources Salesforce Trailhead - Data Cloud Learning Paths |
| Exam Registration: | Salesforce Credentials Portal |
| Sample Questions: | Salesforce Data-Con-101 Sample Questions |
| Exam Way: | Online proctored exam or test center delivery |
| Pre Condition: | No strict prerequisites; recommended to have Salesforce Administrator knowledge or equivalent experience. |
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NEW QUESTION # 167
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?
Answer: A
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.
Reference: Salesforce Data Cloud Use Case Documentation
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.
Reference: Salesforce Calculated Insights and Segmentation Guide
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.
Reference: Salesforce Calculated Insights Tutorial and Segment Creation Guide Practical Application:
Example: Identify high-value customers who are not leveraging additional services and target them with personalized marketing campaigns to promote advisory services.
Reference: Salesforce High-Value Customer Segmentation Case Study
NEW QUESTION # 168
Cloud Kicks received a Request to be Forgotten by a customer.
In which two ways should a consultant use Data Cloud to honor this request?
Choose 2 answers
Answer: C,D
Explanation:
To honor a Request to be Forgotten by a customer, a consultant should use Data Cloud in two ways:
Add the Individual ID to a headerless file and use the delete from file functionality. This option allows the consultant to delete multiple Individuals from Data Cloud by uploading a CSV file with their IDs1. The deletion process is asynchronous and can take up to 24 hours to complete1.
Use the Consent API to suppress processing and delete the Individual and related records from source data streams. This option allows the consultant to submit a Data Deletion request for an Individual profile in Data Cloud using the Consent API2. A Data Deletion request deletes the specified Individual entity and any entities where a relationship has been defined between that entity's identifying attribute and the Individual ID attribute2. The deletion process is reprocessed at 30, 60, and 90 days to ensure a full deletion2. The other options are not correct because:
Deleting the data from the incoming data stream and performing a full refresh will not delete the existing data in Data Cloud, only the new data from the source system3.
Using Data Explorer to locate and manually remove the Individual will not delete the related records from the source data streams, only the Individual entity in Data Cloud. References:
Delete Individuals from Data Cloud
Requesting Data Deletion or Right to Be Forgotten
Data Refresh for Data Cloud
[Data Explorer]
NEW QUESTION # 169
During a privacy law discussion with a customer, the customer indicates they need to honor requests for the right to be forgotten. The consultant determines that Consent API will solve this business need.
Which two considerations should the consultant inform the customer about?
Choose 2 answers
Answer: B,D
Explanation:
When advising a customer about using the Consent API in Salesforce to comply with requests for the right to be forgotten, the consultant should focus on two primary considerations:
Data deletion requests are submitted for Individual profiles (Answer C): The Consent API in Salesforce is designed to handle data deletion requests specifically for individual profiles. This means that when a request is made to delete data, it is targeted at the personal data associated with an individual's profile in the Salesforce system. The consultant should inform the customer that the requests must be specific to individual profiles to ensure accurate processing and compliance with privacy laws.
Data deletion requests submitted to Data Cloud are passed to all connected Salesforce clouds (Answer D):
When a data deletion request is made through the Consent API in Salesforce Data Cloud, the request is not limited to the Data Cloud alone. Instead, it propagates through all connected Salesforce clouds, such as Sales Cloud, Service Cloud, Marketing Cloud, etc. This ensures comprehensive compliance with the right to be forgotten across the entire Salesforce ecosystem. The customer should be aware that the deletion request will affect all instances of the individual's data across the connected Salesforce environments.
NEW QUESTION # 170
How can a consultant modify attribute names to match a naming convention in Cloud File Storage targets?
Answer: A
Explanation:
A Cloud File Storage target is a type of data action target in Data Cloud that allows sending data to a cloud storage service such as Amazon S3 or Google Cloud Storage. When configuring an activation to a Cloud File Storage target, a consultant can modify the attribute names to match a naming convention by setting preferred attribute names in Data Cloud. Preferred attribute names are aliases that can be used to control the field names in the target file. They can be set for each attribute in the activation configuration, and they will override the default field names from the data model object. The other options are incorrect because they do not affect the field names in the target file. Using a formula field to update the field name in an activation will not change the field name, but only the field value. Updating attribute names in the data stream configuration will not affect the existing data lake objects or data model objects. Updating field names in the data model object will change the field names for all data sources and activations that use the object, which may not be desirable or consistent. References: Preferred Attribute Name, Create a Data Cloud Activation Target, Cloud File Storage Target
NEW QUESTION # 171
A consultant is working in a customer's Data Cloud org and is asked to delete the existing identity resolution ruleset.
Which two impacts should the consultant communicate as a result of this action?
Choose 2 answers
Answer: B,C
Explanation:
Deleting an identity resolution ruleset has two major impacts that the consultant should communicate to the customer. First, it will permanently remove all unified customer data that was created by the ruleset, meaning that the unified profiles and their attributes will no longer be available in Data Cloud1. Second, it will eliminate dependencies on data model objects that were used by the ruleset, meaning that the data model objects can be modified or deleted without affecting the ruleset1. These impacts can have significant consequences for the customer's data quality, segmentation, activation, and analytics, so the consultant should advise the customer to carefully consider the implications of deleting a ruleset before proceeding. The other options are incorrect because they are not impacts of deleting a ruleset. Option A is incorrect because deleting a ruleset will not remove all individual data, but only the unified customer data. The individual data from the source systems will still be available in Data Cloud1. Option D is incorrect because deleting a ruleset will not remove all source profile data, but only the unified customer data. The source profile data from the data streams will still be available in Data Cloud1. References: Delete an Identity Resolution Ruleset
NEW QUESTION # 172
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