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Salesforce Data-Cloud-Consultant Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 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.
Topic 4	Data Cloud Overview: This topic covers Data Cloud's function, key terminology, business value, typical use cases, the Data Cloud lifecycle, dependencies, and principles of data ethics. These sub-topics provide an overview of Data Cloud's capabilities and applications.
Topic 5	Segmentation and Insights: This topic defines basic concepts of segmentation and use cases, identifies scenarios for analyzing segment membership, configuring, refining, and maintaining segments within Data Cloud, and differentiating between calculated and streaming insights.

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Salesforce Certified Data 360 Consultant (Data-Con-101) Sample Questions (Q40-Q45):

NEW QUESTION # 40
A consultant wants to build a new audience in Data Cloud.
Which three criteria can the consultant include when building a segment?
Choose 3 answers

A. Calculated Insights
B. Direct attributes
C. Streaming insights
D. Data stream attributes
E. Related attributes

Answer: A,B,E

Explanation:
A segment is a subset of individuals who meet certain criteria based on their attributes and behaviors. A consultant can use different types of criteria when building a segment in Data Cloud, such as:
Direct attributes: These are attributes that describe the characteristics of an individual, such as name, email, gender, age, etc. These attributes are stored in the Profile data model object (DMO) and can be used to filter individuals based on their profile data.
Calculated Insights: These are insights that perform calculations on data in a data space and store the results in a data extension. These insights can be used to segment individuals based on metrics or scores derived from their data, such as customer lifetime value, churn risk, loyalty tier, etc.
Related attributes: These are attributes that describe the relationships of an individual with other DMOs, such as Email, Engagement, Order, Product, etc. These attributes can be used to segment individuals based on their interactions or transactions with different entities, such as email opens, clicks, purchases, etc.
The other two options are not valid criteria for building a segment in Data Cloud. Data stream attributes are attributes that describe the streaming data that is ingested into Data Cloud from various sources, such as Marketing Cloud, Commerce Cloud, Service Cloud, etc. These attributes are not directly available for segmentation, but they can be transformed and stored in data extensions using streaming data transforms. Streaming insights are insights that analyze streaming data in real time and trigger actions based on predefined conditions. These insights are not used for segmentation, but for activation and personalization. Reference: Create a Segment in Data Cloud, Use Insights in Data Cloud, Data Cloud Data Model

NEW QUESTION # 41
A finance company that uses Data Cloud wants to simplify how its users can view all the various channels a customer engages with Which feature should the consultant recommend to meet this requirement?

A. Create segments based on the ingested data and insights to activate in Marketing Cloud.
B. Use calculated insights to determine when and how to engage with various customers.
C. Use Data Cloud to connect with analytic tools, like Tableau.
D. Use Data Cloud to ingest data from various available data sources.

Answer: D

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

Answer: A

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 # 43
A customer requests that their personal data be deleted.
Which action should the consultant take to accommodate this request in Data Cloud?

A. Use a streaming API call to delete the customer's information.
B. Use Profile Explorer to delete the customer data from Data Cloud.
C. Use Consent API to request deletion of the customer's information.
D. Use the Data Rights Subject Request tool to request deletion of the customer's information.

Answer: C

Explanation:
The Data Rights Subject Request tool is a feature that allows Data Cloud users to manage customer requests for data access, deletion, or portability. The tool provides a user interface and an API to create, track, and fulfill data rights requests. The tool also generates a report that contains the customer's personal data and the actions taken to comply with the request. The consultant should use this tool to accommodate the customer's request for data deletion in Data Cloud. References: Data Rights Subject Request Tool, Create a Data Rights Subject Request

NEW QUESTION # 44
What are the two minimum requirements needed when using the Visual Insights Builder to create a calculated insight?
Choose 2 answers

A. At least one dimension
B. A WHERE clause
C. At least one measure
D. At least two objects to Join

Answer: A,C

Explanation:
Introduction to Visual Insights Builder:
* The Visual Insights Builder in Salesforce Data Cloud is a tool used to create calculated insights, which are custom metrics derived from the existing data.

NEW QUESTION # 45
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