Salesforce Data-Cloud-Consultant dumps - in .pdf

Data-Cloud-Consultant pdf
  • Exam Code: Data-Cloud-Consultant
  • Exam Name: Salesforce Certified Data 360 Consultant (Data-Con-101)
  • Updated: Oct 16, 2026
  • Q & A: 116 Questions and Answers
  • PDF Price: $59.99
  • Free Demo

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  • Exam Code: Data-Cloud-Consultant
  • Exam Name: Salesforce Certified Data 360 Consultant (Data-Con-101)
  • Updated: Oct 16, 2026
  • Q & A: 116 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $119.98  $79.99
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Salesforce Data-Cloud-Consultant dumps - Testing Engine

Data-Cloud-Consultant Testing Engine
  • Exam Code: Data-Cloud-Consultant
  • Exam Name: Salesforce Certified Data 360 Consultant (Data-Con-101)
  • Updated: Oct 16, 2026
  • Q & A: 116 Questions and Answers
  • Software Price: $59.99
  • Testing Engine

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Salesforce Data-Cloud-Consultant Exam Syllabus Topics:

TopicDetails
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 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
  • 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.
Topic 4
  • Identity Resolution: It describes matching and how its rule sets are applied. Furthermore, it discusses reconciling data and its rule sets, the results of identity resolution, and use cases.
Topic 5
  • 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.

Reference: https://trailheadacademy.salesforce.com/certificate/exam-data-cloud---Data-Con-101

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

Question #1

Which statement about Data 360 ' s Web and Mobile Application Connector is true?

  • A. The Tenant Specific Endpoint is auto-generated in Data 360 when setting the connector.
  • B. Any data streams associated with the connector will be automatically deleted upon deleting the app from Data 360 Setup.
  • C. A standard schema containing event, profile, and transaction data is created at the time the connector is configured.
  • D. The connector schema can be updated to delete an existing field.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #2

What does the Ignore Empty Value option do in Identity Resolution?

  • A. Ignores Individual object records with empty fields when running identity resolution rules
  • B. Ignores empty fields when running match rules
  • C. Ignores empty fields when running reconciliation rules
  • D. Ignores Contact Point object records with empty fields when running identity resolution rules
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #3

A Data 360 Consultant noticed a recent increase in a customer ' s consolidation rate. Which change to the identity resolution ruleset typically causes this result?

  • A. Removing existing identity resolution rules
  • B. Reducing the number of data sources mapped to the Individual object
  • C. Modifying a ruleset that increases the number of matched profiles
  • D. Deleting duplicate records from source data streams
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #4

A company stores customer data in Marketing Cloud and uses the Marketing Cloud Connector to ingest data into Data 360. Where does a request for Data Deletion or Right to Be Forgotten get submitted?

  • A. Through Consent API
  • B. On the individual data profile in Data 360
  • C. In Data 360 settings
  • D. In Marketing Cloud settings
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #5

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?

  • A. The system requires a custom streaming data transform to refresh values for high-cardinality attributes.
  • B. Value suggestions are only available for attributes that have been mapped to the Engagement category.
  • C. The feature only displays the first 1,000 distinct values, which may lead to incomplete results for the user.
  • D. Suggested values will fail to load if the attribute contains more than 500 unique entries.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for TestPassKing members. You can sign-up / login (it's free).

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