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Salesforce Data-Cloud-Consultant Exam Overview:

Certification Vendor:Salesforce
Exam Name:Salesforce Certified Data 360 Consultant (formerly Salesforce Certified Data Cloud Consultant)
Exam Number:Data-Con-101 / Data-Cloud-Consultant
Real Exam Qty:60 (plus up to 5 unscored questions)
Available Languages:English
Passing Score:62% - 70%
Exam Price:USD $200 + applicable taxes
Exam Format:Multiple-choice, Scenario-based questions, Multiple-select
Related Certifications:Salesforce Certified Data Architect
Salesforce Certified Administrator
Salesforce Certified Marketing Cloud Consultant
Exam Duration:105 minutes
Certificate Validity Period:3 years
Recommended Training:Salesforce Trailhead - Data 360 / Data Cloud Learning Path
Exam Registration:Salesforce Webassessor Registration
Sample Questions:Salesforce Data-Cloud-Consultant Sample Questions
Exam Way:Online proctored or onsite at authorized testing centers
Pre Condition:No mandatory prerequisites; recommended: 1–2 years experience in data management, Salesforce implementation, or CDP solutions
Official Syllabus URL:https://help.salesforce.com/s/articleView?id=005298940&language=en_US

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Salesforce Data-Cloud-Consultant Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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.

Salesforce Certified Data 360 Consultant (Data-Con-101) Sample Questions (Q108-Q113):

NEW QUESTION # 108
An organization wants to enable users with the ability to identify and select text attributes from a picklist of options.
Which Data Cloud feature should help with this use case?

Answer: C

Explanation:
Explanation
Value suggestion is a Data Cloud feature that allows users to see and select the possible values for a text field when creating segment filters. Value suggestion can be enabled or disabled for each data model object (DMO) field in the DMO record home. Value suggestion can help users to identify and select text attributes from a picklist of options, without having to type or remember the exact values. Value suggestion can also reduce errors and improve data quality by ensuring consistent and valid values for the segment filters. References: Use Value Suggestions in Segmentation, Considerations for Selecting Related Attributes


NEW QUESTION # 109
A consultant wants to make sure address details from customer orders are selected as best to save to the unified profile.
What should the consultant do to achieve this?

Answer: A

Explanation:
Unified Profile: Creating a unified customer profile in Salesforce Data Cloud involves consolidating data from various sources.
Reconciliation Rules: These rules determine which data source is considered the "best" when conflicting data is encountered. Changing reconciliation rules allows prioritizing specific sources.
Source Priority: Setting source priority involves defining which data source should be preferred over others for specific attributes.
Process:
* Step 1: Access the Data Cloud settings for reconciliation rules.
* Step 2: Select the Contact Point Address details.
* Step 3: Change the reconciliation rules for address attributes to "Source Priority."
* Step 4: Move the Order DMO to the top of the priority list. This ensures that address details from customer orders are prioritized and selected as the best data to save to the unified profile.
Benefits:
* Accuracy: Ensures the most accurate and reliable address data is used in the unified profile.
* Relevance: Gives priority to the most relevant and frequently updated source (customer orders).
References:
* Salesforce Data Cloud Reconciliation Rules
* Salesforce Unified Customer Profile


NEW QUESTION # 110
Northern Trail Outfitters (NTO) is ingesting transaction data into Data 360. The source data includes Order ID, Order Date, and Total Amount, which map to the standard Sales Order data model object (DMO).
Additionally, NTO needs to capture a unique Sustainability Packaging Fee for each transaction, which is not available in the standard model. Which modeling approach should a Data 360 Consultant recommend to support this requirement?

Answer: D

Explanation:
The modeling decision should make the data understandable, reusable, and correctly related before segmentation or activation depends on it. Map standard fields to the Sales Order DMO and add a custom attribute for the fee. fits because Data 360 depends on mappings and relationships between data lake objects and data model objects. Correct modeling lets the same attribute mean the same thing across source systems and prevents downstream users from building logic on ambiguous fields. The distractors fall short because they either move the problem into the wrong system, add needless duplication, ignore Data 360 object relationships, or rely on a feature built for a different lifecycle stage. In a real implementation, those choices usually create brittle pipelines, stale data, security exposure, or segments that look correct on paper but fail when activated. Thinking like an architect, the selected option places the logic where Data 360 can govern it and reuse it reliably.


NEW QUESTION # 111
Northern Trail Outfitters wants to enable Suggested Values for several attributes in the Data Model to assist marketers in the segment canvas. One of the attributes being considered is Secondary Product Code, which currently contains 5,000 distinct values.
What should a Data 360 Consultant consider before enabling value suggestions for this specific attribute?

Answer: D

Explanation:
Salesforce places a display limit on Value Suggestions for high-cardinality text attributes. Current documentation states that when an attribute contains more than 1,000 values, Data 360 displays the most frequently occurring 1,000 values, presented alphabetically. Therefore, with 5,000 distinct Secondary Product Codes, users will not see every possible value in the suggestion list. Option A is consequently the intended and best answer, although its wording "first 1,000" is less precise than Salesforce ' s current documentation, which specifies the most frequently occurring 1,000. The 500 limit in B applies to the number of attributes for which Value Suggestions can be enabled across the org, not unique values within an attribute. No streaming transform or Engagement-category mapping is required.


NEW QUESTION # 112
What should an organization use to stream inventory levels from an inventory management system into Data Cloud in a fast and scalable, near-real-time way?

Answer: A

Explanation:
Explanation
The Ingestion API is a RESTful API that allows you to stream data from any source into Data Cloud in a fast and scalable way. You can use the Ingestion API to send data from your inventory management system into Data Cloud as JSON objects, and then use Data Cloud to create data models, segments, and insights based on your inventory data. The Ingestion API supports both batch and streaming modes, and can handle up to
100,000 records per second. The Ingestion API also provides features such as data validation, encryption, compression, and retry mechanisms to ensure data quality and security. References: Ingestion API Developer Guide, Ingest Data into Data Cloud


NEW QUESTION # 113
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