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| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Data Cloud Consultant |
| Exam Number: | Data-Con-101 |
| Exam Price: | USD 200 |
| Certificate Validity Period: | Maintenance required annually (Trailhead modules) |
| Exam Duration: | 105 minutes |
| Real Exam Qty: | 60 (plus up to 5 unscored questions) |
| Related Certifications: | Salesforce Certified AI Associate |
| Passing Score: | 62% |
| Available Languages: | English |
| Exam Format: | Multiple-select, Multiple-choice |
| Sample Questions: | Salesforce Data-Con-101 Sample Questions |
| Exam Way: | Online (Webassessor/PSI) or Onsite (Pearson VUE) |
| Pre Condition: | No hard prerequisites; recommended 2+ years of experience in data strategy and data modeling |
| Official Syllabus URL: | https://trailhead.salesforce.com/credentials/datacloudconsultant |
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NEW QUESTION # 57
A consultant wants to confirm the Identity resolution they Just set up. Which two features can the consultant use to validate the data on a unified profile?
Choose 2 answers
Answer: A,C
Explanation:
To validate the data on a unified profile after setting up identity resolution, the consultant can use Data Explorer and the Query API . Here's why:
Understanding Identity Resolution Validation
Identity resolution combines data from multiple sources into a unified profile.
Validating the unified profile ensures that the resolution process is working correctly and that the data is accurate.
Why Data Explorer and Query API?
Data Explorer :
Data Explorer is a built-in tool in Salesforce Data Cloud that allows users to view and analyze unified profiles.
It provides a detailed view of individual profiles, including resolved identities and associated attributes.
Query API :
The Query API enables programmatic access to unified profiles and related data.
Consultants can use the API to query specific profiles and validate the results of identity resolution programmatically.
Other Options Are Less Suitable :
A). Identity Resolution : This refers to the process itself, not a tool for validation.
B). Data Actions : Data actions are used to trigger workflows or integrations, not for validating unified profiles.
Steps to Validate Unified Profiles
Using Data Explorer :
Navigate to Data Cloud > Data Explorer .
Search for a specific profile and review its resolved identities and attributes.
Verify that the data aligns with expectations based on the identity resolution rules.
Using Query API :
Use the Query API to retrieve unified profiles programmatically.
Compare the results with expected outcomes to confirm accuracy.
Conclusion
The consultant should use Data Explorer and the Query API to validate the data on unified profiles, ensuring that identity resolution is functioning as intended.
NEW QUESTION # 58
A segment fails to refresh with the error "Segment references too many data lake objects (DLOS)".
Which two troubleshooting tips should help remedy this issue?
Choose 2 answers
Answer: C,D
Explanation:
The error "Segment references too many data lake objects (DLOs)" occurs when a segment query exceeds the limit of 50 DLOs that can be referenced in a single query. This can happen when the segment has too many filters, nested segments, or exclusion criteria that involve different DLOs. To remedy this issue, the consultant can try the following troubleshooting tips:
Split the segment into smaller segments. The consultant can divide the segment into multiple segments that have fewer filters, nested segments, or exclusion criteria. This can reduce the number of DLOs that are referenced in each segment query and avoid the error. The consultant can then use the smaller segments as nested segments in a larger segment, or activate them separately.
Use calculated insights in order to reduce the complexity of the segmentation query. The consultant can create calculated insights that are derived from existing data using formulas. Calculated insights can simplify the segmentation query by replacing multiple filters or nested segments with a single attribute. For example, instead of using multiple filters to segment individuals based on their purchase history, the consultant can create a calculated insight that calculates the lifetime value of each individual and use that as a filter.
The other options are not troubleshooting tips that can help remedy this issue. Refining segmentation criteria to limit up to five custom data model objects (DMOs) is not a valid option, as the limit of 50 DLOs applies to both standard and custom DMOs. Spacing out the segment schedules to reduce DLO load is not a valid option, as the error is not related to the DLO load, but to the segment query complexity.
Troubleshoot Segment Errors
Create a Calculated Insight
Create a Segment in Data Cloud
NEW QUESTION # 59
How does identity resolution select attributes for unified individuals when there Is conflicting information in the data model?
Answer: C
Explanation:
Identity resolution is the process of creating unified profiles of individuals by matching and merging data from different sources. When there is conflicting information in the data model, such as different names, addresses, or phone numbers for the same person, identity resolution leverages reconciliation rules to select the most accurate and complete attributes for the unified profile. Reconciliation rules are configurable rules that define how to resolve conflicts based on criteria such as recency, frequency, source priority, or completeness. For example, a reconciliation rule can specify that the most recent name or the most frequent phone number should be selected for the unified profile. Reconciliation rules can be applied at the attribute level or the contact point level. References: Identity Resolution, Reconciliation Rules, Salesforce Data Cloud Exam Questions
NEW QUESTION # 60
Cumulus Financial uses Data Cloud to segment banking customers and activate them for direct mail via a Cloud File Storage activation. The company also wants to analyze individuals who have been in the segment within the last 2 years.
Which Data Cloud component allows for this?
Answer: D
Explanation:
The segment membership data model object is a Data Cloud component that allows for analyzing individuals who have been in a segment within a certain time period. The segment membership data model object is a table that stores the information about which individuals belong to which segments and when they were added or removed from the segments. This object can be used to create calculated insights, such as segment size, segment duration, segment overlap, or segment retention, that can help measure the effectiveness of segmentation and activation strategies. The segment membership data model object can also be used to create nested segments or segment exclusions based on the segment membership criteria, such as segment name, segment type, or segment date range. The other options are not correct because they are not Data Cloud components that allow for analyzing individuals who have been in a segment within the last 2 years. Nested segments and segment exclusions are features that allow for creating more complex segments based on existing segments, but they do not provide the historical data about segment membership. Calculated insights are custom metrics or measures that are derived from data model objects or data lake objects, but they do not store the segment membership information by themselves. References: Segment Membership Data Model Object, Create a Calculated Insight, Create a Nested Segment
NEW QUESTION # 61
During discovery, which feature should a consultant highlight for a customer who has multiple data sources and needs to match and reconcile data about individuals into a single unified profile?
Answer: A
Explanation:
The feature that the consultant should highlight for a customer who has multiple data sources and needs to match and reconcile data about individuals into a single unified profile is D. Identity Resolution. Identity Resolution is the process of identifying, matching, and reconciling data about individuals across different data sources and creating a unified profile that represents a single view of the customer. Identity Resolution uses various methods and rules to determine the best match and reconciliation of data, such as deterministic matching, probabilistic matching, reconciliation rules, and identity graphs. Identity Resolution enables the customer to have a complete and accurate understanding of their customers and their interactions across different channels and touchpoints. References: Salesforce Data Cloud Consultant Exam Guide, Identity Resolution
NEW QUESTION # 62
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