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| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Data Cloud Consultant Exam |
| Exam Number: | Data-Con-101 |
| Exam Price: | USD 200 (+ applicable taxes) |
| Passing Score: | 62% |
| Exam Format: | Multiple-select, Multiple-choice |
| Certificate Validity Period: | 2 years |
| Related Certifications: | Salesforce Certified Consultant |
| Real Exam Qty: | 60–65 (including up to 5 unscored items) |
| Exam Duration: | 105 minutes |
| Available Languages: | English |
| Recommended Training: | Trailhead: Data Cloud Fundamentals (SDC101) Cert Prep: Salesforce Certified Data Cloud Consultant |
| Exam Registration: | Pearson VUE Kryterion Webassessor |
| Sample Questions: | Salesforce Data-Con-101 Sample Questions |
| Exam Way: | Online proctored or onsite testing center |
| Pre Condition: | No mandatory prerequisites; recommended 2+ years experience in data strategy, modeling, and Salesforce implementation |
| Official Syllabus URL: | https://trailheadacademy.salesforce.com/certificate/exam-data-cloud---Data-Con-101 |
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質問 # 155
A Data Cloud consultant recently discovered that their identity resolution process is matching individuals that share email addresses or phone numbers, but are not actually the same individual.
What should the consultant do to address this issue?
正解：B
解説：
Identity resolution is the process of linking source profiles from different data sources into unified individual profiles based on match and reconciliation rules. If the identity resolution process is matching individuals that share email addresses or phone numbers, but are not actually the same individual, it means that the match rules are too loose and need to be refined. The best way to address this issue is to create and run a new ruleset with stricter matching criteria, such as adding more attributes or increasing the match score threshold. Then, the consultant can compare the two rulesets to review and verify the results, and see if the new ruleset reduces the false positives and improves the accuracy of the identity resolution. Once the new ruleset is approved, the consultant can migrate to the new ruleset and delete the old one. The other options are incorrect because modifying the existing ruleset can affect the existing unified profiles and cause data loss or inconsistency.
Creating and running a new ruleset with fewer matching rules can increase the false negatives and reduce the coverage of the identity resolution. References: Create Unified Individual Profiles, AI-based Identity Resolution: Linking Diverse Customer Data, Data Cloud Identiy Resolution.
質問 # 156
A rideshare company wants to send an email to customers that provides a year-in-review with five "fun" trip statistics, such as destination, distance traveled, etc. This raw data arrives into Data Cloud and is not aggregated at source.
The company creates a segment of customers that had at least one ride in the last 365 days.
Following best practices, which solution should the consultant recommend in Data Cloud to personalize the content of the email?
正解：A
解説：
To personalize the content of the email with five "fun" trip statistics, the consultant should recommend using a data transform to aggregate the statistics and map them to direct attributes on the Individual object for inclusion in the activation. Here's why:
Understanding the Requirement
The rideshare company wants to send personalized emails to customers with aggregated trip statistics (e.g., destination, distance traveled).
The raw data is not aggregated at the source, so it must be processed in Data Cloud.
Why Use a Data Transform?
Aggregating Statistics :
A data transform can aggregate the raw trip data (e.g., summing distances, counting destinations) into meaningful statistics for each customer.
This ensures that the data is summarized and ready for personalization.
Mapping to Direct Attributes :
The aggregated statistics can be mapped to direct attributes on the Individual object.
These attributes can then be included in the activation and used to personalize the email content.
Other Options Are Less Suitable :
B). Create five calculated insights for the activation and add dimension filters : While calculated insights are useful, creating five separate insights is inefficient compared to a single data transform.
C). Use a data action to send each ride as an event to Marketing Cloud Engagement, then use AMP script to summarize this data in the email : This approach is overly complex and shifts the aggregation burden to Marketing Cloud, which is not ideal.
D). Include related attributes in the activation for the last 365 days : Including raw data without aggregation would result in unprocessed information, making personalization difficult.
Steps to Implement the Solution
Step 1: Create a Data Transform
Use a batch or streaming data transform to aggregate the trip statistics (e.g., total distance, unique destinations) for each customer.
Step 2: Map Aggregated Data to Individual Object
Map the aggregated statistics to direct attributes on the Individual object in Data Cloud.
Step 3: Activate the Data
Include the aggregated attributes in the activation for the email campaign.
Step 4: Personalize the Email
Use the activated attributes to personalize the email content with the trip statistics.
Conclusion
Using a data transform to aggregate the statistics and map them to direct attributes on the Individual object is the most efficient and effective solution for personalizing the email content.
質問 # 157
Which statement is true related to batch ingestions from Salesforce CRM?
正解：B
解説：
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.
質問 # 158
Cumulus Financial segregates its sales CRM data based on Region for its Data Cloud users. Multiple data spaces are configured: a default space and two additional spaces tailored for EMEA and APAC regions.
EME A sales reps who need temporary access to visualize data for both regions say that they cannot visualize APAC data. APAC sales reps can visualize the corresponding segmented data.
Which statement describes the cause of this issue?
正解：B
解説：
The issue arises because the EMEA sales reps cannot visualize APAC data, while APAC sales reps can access their segmented data. The root cause is that the EMEA sales reps lack the necessary permissions to access the APAC data space. Here's why:
Understanding the Issue
Cumulus Financial uses data spaces to segregate CRM data by region (default, EMEA, APAC).
EMEA sales reps need temporary access to APAC data but are unable to view it.
APAC sales reps can access their corresponding segmented data without issues.
Why Permission Sets?
Data Space Access Control :
Data spaces in Salesforce Data Cloud are secured using profiles and permission sets .
Users must be explicitly granted access to a data space via their assigned profiles or permission sets.
Root Cause Analysis :
Since APAC sales reps can access their data, the APAC data space is properly configured.
The issue lies with the EMEA sales reps, who likely do not have the required permission set granting access to the APAC data space.
Temporary Access :
Temporary access can be granted by assigning the appropriate permission set to the EMEA sales reps.
Steps to Resolve the Issue
Step 1: Identify the Required Permission Set
Navigate to Setup > Permission Sets and locate the permission set associated with the APAC data space.
Step 2: Assign the Permission Set
Assign the APAC data space permission set to the EMEA sales reps requiring temporary access.
Step 3: Verify Access
Confirm that the EMEA sales reps can now visualize APAC data.
Step 4: Revoke Temporary Access
Once the temporary access period ends, remove the permission set from the EMEA sales reps.
Why Not Other Options?
A). The EMEA sales reps have not been assigned to the profile associated with the APAC data space :Profiles are typically broader and less flexible than permission sets for managing temporary access.
B). The APAC data space is not associated with any permission set :This is incorrect because APAC sales reps can access their data, indicating the data space is properly configured.
C). The APAC data space is not associated with any profile :Similar to Option B, this is incorrect because APAC sales reps can access their data.
Conclusion
The issue is resolved by ensuring that the EMEA sales reps are assigned the permission set associated with the APAC data space . This grants them temporary access to visualize APAC data.
質問 # 159
Which statement about Data Cloud's Web and Mobile Application Connector is true?
正解：B
解説：
The Web and Mobile Application Connector allows you to ingest data from your websites and mobile apps into Data Cloud. To use this connector, you need to set up a Tenant Specific Endpoint (TSE) in Data Cloud, which is a unique URL that identifies your Data Cloud org. The TSE is auto-generated when you create a connector app in Data Cloud Setup. You can then use the TSE to configure the SDKs for your websites and mobile apps, which will send data to Data Cloud through the TSE. References: Web and Mobile Application Connector, Connect Your Websites and Mobile Apps, Create a Web or Mobile App Data Stream
質問 # 160
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