Exam Dumps Data-Cloud-Consultant Demo | Data-Cloud-Consultant Reliable Exam Blueprint

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Salesforce Data-Cloud-Consultant Exam Syllabus Topics:

Topic	Details
Topic 1	Data Ingestion and Modeling: This topic covers the different transformation capabilities within Data Cloud. It includes describing processes and considerations for data ingestion from various sources, defining, mapping, and modeling data using best practices aligned with identity resolution. Lastly, it discusses using available tools to inspect and validate ingested and modeled data.
Topic 2	Act on Data: This topic defines activations and their basic use cases, using attributes and related attributes, identifying and analyzing timing dependencies affecting the Data Cloud lifecycle. Additionally it focuses on troubleshooting common problems with activations, and using data actions, including their requirements and intended use cases.
Topic 3	Data Cloud Setup and Administration: This topic includes applying Data Cloud permissions, permission sets, org-wide settings. It describes and configures data stream types, and data bundles. Moreover, it discusses use cases for data spaces, creating data spaces, managing and administering Data Cloud using reports, dashboards, flows, packaging, data kits, diagnosing and exploring data using Data Explorer, Profile Explorer, and APIs.

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Salesforce Certified Data Cloud Consultant Sample Questions (Q125-Q130):

A. Individuals who purchased at least one of any 'red' product or purchased at least one pair of
'shoes'
B. Individuals who made a purchase of at least one 'red shoes' and nothing else
C. Individuals who purchased at least one 'red shoes' as a single line item in a purchase
D. Individuals who purchased at least one of any red' product and also purchased at least one pair of 'shoes'

Answer: D

Explanation:
Explanation
When creating a segment on an individual, using two separate containers linked by an AND means that the individual must satisfy both the conditions in the containers. In this case, the individual must have purchased at least one product with the color attribute equal to 'red' and at least one product with the primary product category attribute equal to 'shoes'. The products do not have to be the same or purchased in the same transaction. Therefore, the correct answer is A.
The other options are incorrect because they imply different logical operators or conditions. Option B implies that the individual must have purchased a single product that has both the color attribute equal to 'red' and the primary product category attribute equal to 'shoes'. Option C implies that the individual must have purchased only one product that has both the color attribute equal to 'red' and the primary product category attribute equal to 'shoes' and no other products. Option D implies that the individual must have purchased either one product with the color attribute equal to 'red' or one product with the primary product category attribute equal to 'shoes' or both, which is equivalent to using an OR operator instead of an AND operator.
References:
* Create a Container for Segmentation
* Create a Segment in Data Cloud
* Navigate Data Cloud Segmentation

NEW QUESTION # 126
Which data stream category type should be assigned in order to use the dataset for date and time-based operations in segmentation and calculated insights?

A. Engagement
B. Sales Order
C. Individual
D. Profile

Answer: D

NEW QUESTION # 127
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?

A. Segment membership data model object
B. Calculated insights
C. Nested segments
D. Segment exclusion

Answer: A

Explanation:
Explanation
Data Cloud allows customers to analyze the segment membership history of individuals using the Segment Membership data model object. This object storesinformation about when an individual joined or left a segment, and can be used to create reports and dashboards to track segment performance over time. Cumulus Financial can use this object to filter individuals who have been in the segment within the last 2 years and compare them with other metrics.
The other options are not Data Cloud components that allow for this analysis. Segment exclusion is a feature that allows customers to remove individuals from a segment based on another segment. Nested segments are segments that are created from other segments using logical operators. Calculated insights are derived attributes that are created from existing data using formulas.
References:
* Segment Membership Data Model Object
* Data Cloud Reports and Dashboards
* Create a Segment in Data Cloud

NEW QUESTION # 128
A user is not seeing suggested values from newly-modeled data when building a segment.
What is causing this issue?

A. Value suggestion requires Data Aware Specialist permissions at a minimum.
B. Value suggestion can only work on direct attributes and not related attributes.
C. Value suggestion is still processing and to be available.
D. Value suggestion will only return result for the first 50 values of a specific attribute.

Answer: C

Explanation:
Value suggestion is a feature that allows users to see suggested values for data model object (DMO) fields when creating segment filters. However, this feature can take up to 24 hours to process and display the values for newly-modeled data. Therefore, if a user is not seeing suggested values from newly-modeled data, it is likely that the value suggestion is still processing and will be available soon. The other options are incorrect because value suggestion does not require any specific permissions, can work on both direct and related attributes, and can return more than 50 values for a specific attribute, depending on the data type and frequency of the values. References: Use Value Suggestions in Segmentation, Data Cloud Limits and Guidelines

NEW QUESTION # 129
Cumulus Financial created a segment called High Investment Balance Customers. This is a foundational segment that includes several segmentation criteria the marketing team should consistently use.
Which feature should the consultant suggest the marketing team use to ensure this consistency when creating future, more refined segments?

A. Create new segments using nested segments.
B. Create new segments by cloning High Investment Balance Customers.
C. Package High Investment Balance Customers in a data kit.
D. Create a High Investment Balance calculated insight.

Answer: A

Explanation:
Explanation
Nested segments are segments that include or exclude one or more existing segments. They allow the marketing team to reuse filters and maintain consistency in their data by using an existing segment to build a new one. For example, the marketing team can create a nested segment that includes High Investment Balance Customers and excludes customers who have opted out of email marketing. This way, they can leverage the foundational segment and apply additional criteria without duplicating the rules. The other options are not the best features to ensure consistency because:
* B. A calculated insight is a data object that performs calculations on data lake objects or CRM data and returns a result. It is not a segment and cannot be used for activation or personalization.
* C. A data kit is a bundle of packageable metadata that can be exported and imported across Data Cloud orgs. It is not a feature for creating segments, but rather for sharing components.
* D. Cloning a segment creates a copy of the segment with the same rules and filters. It does not allow the marketing team to add or remove criteria from the original segment, and it may create confusion and redundancy. References: Create a Nested Segment - Salesforce, Save Time with Nested Segments (Generally Available) - Salesforce, Calculated Insights - Salesforce, Create and Publish a Data Kit Unit | Salesforce Trailhead, Create a Segment in Data Cloud - Salesforce

NEW QUESTION # 130
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EXAM DUMPS DATA-CLOUD-CONSULTANT DEMO | DATA-CLOUD-CONSULTANT RELIABLE EXAM BLUEPRINT

Exam Dumps Data-Cloud-Consultant Demo | Data-Cloud-Consultant Reliable Exam Blueprint