2025 RELIABLE VALID DATA-CLOUD-CONSULTANT TEST PAPERS | 100% FREE TEST DATA-CLOUD-CONSULTANT GUIDE ONLINE

2025 Reliable Valid Data-Cloud-Consultant Test Papers | 100% Free Test Data-Cloud-Consultant Guide Online

2025 Reliable Valid Data-Cloud-Consultant Test Papers | 100% Free Test Data-Cloud-Consultant Guide Online

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Salesforce Certified Data Cloud Consultant Sample Questions (Q56-Q61):

NEW QUESTION # 56
How does identity resolution select attributes for unified individuals when there Is conflicting information in the data model?

  • A. Creates additional rulesets
  • B. Leverages reconciliation rules
  • C. Creates additional contact points
  • D. Leverages match rules

Answer: B

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. Reference: Identity Resolution, Reconciliation Rules, Salesforce Data Cloud Exam Questions


NEW QUESTION # 57
A customer notices that their consolidation rate has recently increased. They contact the consultant to ask why.
What are two likely explanations for the increase?
Choose 2 answers

  • A. Duplicates have been removed from source system data streams.
  • B. New data sources have been added to Data Cloud that largely overlap with the existing profiles.
  • C. Identity resolution rules have been added to the ruleset to increase the number of matched
  • D. Identity resolution rules have been removed to reduce the number of matched profiles.

Answer: B,C

Explanation:
profiles.
Explanation:
The consolidation rate is a metric that measures the amount by which source profiles are combined to produce unified profiles in Data Cloud, calculated as 1 - (number of unified profiles / number of source profiles). A higher consolidation rate means that more source profiles are matched and merged into fewer unified profiles, while a lower consolidation rate means that fewer source profiles are matched and more unified profiles are created. There are two likely explanations for why the consolidation rate has recently increased for a customer:
New data sources have been added to Data Cloud that largely overlap with the existing profiles. This means that the new data sources contain many profiles that are similar or identical to the profiles from the existing data sources. For example, if a customer adds a new CRM system that has the same customer records as their old CRM system, the new data source will overlap with the existing one. When Data Cloud ingests the new data source, it will use the identity resolution ruleset to match and merge the overlapping profiles into unified profiles, resulting in a higher consolidation rate.
Identity resolution rules have been added to the ruleset to increase the number of matched profiles. This means that the customer has modified their identity resolution ruleset to include more match rules or more match criteria that can identify more profiles as belonging to the same individual. For example, if a customer adds a match rule that matches profiles based on email address and phone number, instead of just email address, the ruleset will be able to match more profiles that have the same email address and phone number, resulting in a higher consolidation rate.


NEW QUESTION # 58
Northern Trail Outfitters uploads new customer data to an Amazon S3 Bucket on a daily basis to be ingested in Data Cloud.
In what order should each process be run to ensure that freshly imported data is ready and available to use for any segment?

  • A. Calculated Insight > Refresh Data Stream > Identity Resolution
  • B. Identity Resolution > Refresh Data Stream > Calculated Insight
  • C. Refresh Data Stream > Identity Resolution > Calculated Insight
  • D. Refresh Data Stream > Calculated Insight > Identity Resolution

Answer: C

Explanation:
Explanation
To ensure that freshly imported data from an Amazon S3 Bucket is ready and available to use for any segment, the following processes should be run in this order:
* Refresh Data Stream: This process updates the data lake objects in Data Cloud with the latest data from the source system. It can be configured to run automatically or manually, depending on the data stream settings1. Refreshing the data stream ensures that Data Cloud has the most recent and accurate data from the Amazon S3 Bucket.
* Identity Resolution: This process creates unified individual profiles by matching and consolidating source profiles from different data streams based on the identity resolution ruleset. It runs daily by default, but can be triggered manually as well2. Identity resolution ensures that Data Cloud has a single view of each customer across different data sources.
* Calculated Insight: This process performs calculations on data lake objects or CRM data and returns a result as a new data object. It can be used to create metrics or measures for segmentation or analysis purposes3. Calculated insights ensure that Data Cloud has the derived data that can be used for personalization or activation.
References:
* 1: Configure Data Stream Refresh and Frequency - Salesforce
* 2: Identity Resolution Ruleset Processing Results - Salesforce
* 3: Calculated Insights - Salesforce


NEW QUESTION # 59
Which data model subject area should be used for any Organization, Individual, or Member in the Customer 360 data model?

  • A. Global Account
  • B. Engagement
  • C. Membership
  • D. Party

Answer: D

Explanation:
The data model subject area that should be used for any Organization, Individual, or Member in the Customer 360 data model is the Party subject area. The Party subject area defines the entities that are involved in any business transaction or relationship, such as customers, prospects, partners, suppliers, etc. The Party subject area contains the following data model objects (DMOs):
Organization: A DMO that represents a legal entity or a business unit, such as a company, a department, a branch, etc.
Individual: A DMO that represents a person, such as a customer, a contact, a user, etc.
Member: A DMO that represents the relationship between an individual and an organization, such as an employee, a customer, a partner, etc.
The other options are not data model subject areas that should be used for any Organization, Individual, or Member in the Customer 360 data model. The Engagement subject area defines the actions that people take, such as clicks, views, purchases, etc. The Membership subject area defines the associations that people have with groups, such as loyalty programs, clubs, communities, etc. The Global Account subject area defines the hierarchical relationships between organizations, such as parent-child, subsidiary, etc.
Reference:
Data Model Subject Areas
Party Subject Area
Customer 360 Data Model


NEW QUESTION # 60
Which data stream category should be assigned to use the data for time-based operations in segmentation and calculated insights?

  • A. Engagement
  • B. Transaction
  • C. Sales Order
  • D. Individual

Answer: B

Explanation:
Data streams are the sources of data that are ingested into Data Cloud and mapped to the data model. Data streams have different categories that determine how the data is processed and used in Data Cloud.
Transaction data streams are used for time-based operations in segmentation and calculated insights, such as filtering by date range, aggregating by time period, or calculating time-to-event metrics. Transaction data streams are typically used for event data, such as purchases, clicks, or visits, that have a timestamp and a value associated with them. References: Data Streams, Data Stream Categories


NEW QUESTION # 61
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