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| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Data Cloud Consultant |
| Exam Number: | Data-Con-101 |
| Available Languages: | English |
| Passing Score: | 68% |
| Real Exam Qty: | 60-65 |
| Certificate Validity Period: | Maintenance required annually (Trailhead maintenance program) |
| Exam Duration: | 105 minutes |
| Exam Format: | Multiple Select, Multiple Choice |
| Related Certifications: | Salesforce Marketing Cloud Engagement Salesforce Certified Administrator Salesforce Platform App Builder |
| Exam Price: | $200 USD |
| Recommended Training: | Salesforce Trailhead - Data Cloud Learning Paths Salesforce Partner Training Resources |
| 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. |
>> Data-Con-101최신버전 시험대비 공부자료 <<
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질문 # 157
Cumulus Financial offers both business and personal loans. Records in the Contact DLO can be useful for both groups since individual customers may have both business and personal loans. However, for legal reasons, the two groups must be kept separate.
How should Cumulus Financial solve this business requirement?
정답：C
설명：
To address the business requirement where Cumulus Financial needs to keep business and personal loan records separate for legal reasons while still leveraging the same Contact DLO, the best solution is to use two data spaces . Here's why and how this works:
Understanding Data Spaces in Salesforce Data Cloud :Data spaces are logical containers within Salesforce Data Cloud that allow organizations to segment their data based on specific business needs, compliance requirements, or privacy regulations. They enable isolation of data processing and identity resolution rules while still allowing access to shared data objects like the Contact DLO.
Why Two Data Spaces?
By creating two data spaces (e.g., one for business loans and another for personal loans), Cumulus Financial can maintain separation between the two groups for legal compliance.
Both data spaces can reference the same Contact DLO, ensuring that individual customer data is not duplicated but is accessible in both contexts.
Identity resolution rules can be configured independently within each data space to ensure that the segmentation aligns with the legal requirements.
Steps to Implement This Solution :
Step 1: Navigate to the Data Spaces section in Salesforce Data Cloud.
Step 2: Create two new data spaces: one for "Business Loans" and another for "Personal Loans." Step 3: Configure the identity resolution rules separately for each data space to ensure proper segmentation.
Step 4: Link the existing Contact DLO to both data spaces. This ensures that the same contact data is available in both contexts without duplication.
Step 5: Set up activation rules and permissions to ensure that data from one data space cannot inadvertently mix with the other.
Why Not Other Options?
A). Duplicate the Individual DMO: This would lead to unnecessary duplication of data and increase storage costs. It also introduces complexity in maintaining consistency across duplicated records.
B). Duplicate the Contact DLO: Similar to duplicating the DMO, this approach increases storage and maintenance overhead without solving the core issue of legal separation.
C). Create two identity resolution rules in the same data space: While this might seem like a viable option, it does not provide the required legal separation since both groups would still exist within the same data space.
By using two data spaces, Cumulus Financial achieves the necessary legal separation while maintaining efficiency and avoiding data redundancy.
질문 # 158
A consultant has an activation that is set to publish every 12 hours, but has discovered that updates to the data prior to activation are delayed by up to 24 hours.
Which two areas should a consultant review to troubleshoot this issue?
Choose 2 answers
정답：A,B
설명：
The correct answer is B and C because calculated insights and segments are both dependent on the data ingestion process. Calculated insights are derived from the data model objects and segments are subsets of data model objects that meet certain criteria. Therefore, both of them need to be updated after the data is ingested to reflect the latest changes. Data transformations are optional steps that can be applied to the data streams before they are mapped to the data model objects, so they are not relevant to the issue. Reviewing calculated insights to make sure they're run after the segments are refreshed (option D) is also incorrect because calculated insights are independent of segments and do not need to be refreshed after them. References: Salesforce Data Cloud Consultant Exam Guide, Data Ingestion and Modeling, Calculated Insights, Segments
질문 # 159
What is Data Cloud's primary value to customers?
정답：C
설명：
Data Cloud is a platform that enables you to activate all your customer data across Salesforce applications and other systems. Data Cloud allows you to create a unified profile of each customer by ingesting, transforming, and linking data from various sources, such as CRM, marketing, commerce, service, and external data providers. Data Cloud also provides insights and analytics on customer behavior, preferences, and needs, as well as tools to segment, target, and personalize customer interactions. Data Cloud's primary value to customers is to provide a unified view of a customer and their related data, which can help you deliver better customer experiences, increase loyalty, and drive growth. References: Salesforce Data Cloud, When Data Creates Competitive Advantage
질문 # 160
Cloud Kicks plans to do a full deletion of one of its existing data streams and its underlying data lake object (DLO).
What should the consultant consider before deleting the data stream?
정답：D
설명：
Data Streams and DLOs: In Salesforce Data Cloud, data streams are used to ingest data, which is then stored in Data Lake Objects (DLOs).
Deletion Considerations: Before deleting a data stream, it's crucial to consider the dependencies and usage of the underlying DLO.
Data Transform Usage:
Impact of Deletion: If the underlying DLO is used in a data transform, deleting the data stream will affect any transforms relying on that DLO.
Dependency Check: Ensure that the DLO is not part of any active data transformations or processes that could be disrupted by its deletion.
References:
Salesforce Data Cloud Documentation: Data Streams
Salesforce Data Cloud Documentation: Data Transforms
질문 # 161
A user wants to be able to create a multi-dimensional metric to identify unified individual lifetime value (LTV).
Which sequence of data model object (DMO) joins is necessary within the calculated Insight to enable this calculation?
정답：A
설명：
To create a multi-dimensional metric to identify unified individual lifetime value (LTV), the sequence of data model object (DMO) joins that is necessary within the calculated Insight is Unified Individual > Unified Link Individual > Sales Order. This is because the Unified Individual DMO represents the unified profile of an individual or entity that is created by identity resolution1. The Unified Link Individual DMO represents the link between a unified individual and an individual from a source system2. The Sales Order DMO represents the sales order information from a source system3. By joining these three DMOs, you can calculate the LTV of a unified individual based on the sales order data from different source systems. The other options are incorrect because they do not join the correct DMOs to enable the LTV calculation. Option B is incorrect because the Individual DMO represents the source profile of an individual or entity from a source system, not the unified profile4. Option C is incorrect because the join order is reversed, and you need to start with the Unified Individual DMO to identify the unified profile. Option D is incorrect because it is missing the Unified Link Individual DMO, which is needed to link the unified profile with the source profile. References: Unified Individual Data Model Object, Unified Link Individual Data Model Object, Sales Order Data Model Object, Individual Data Model Object
질문 # 162
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