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Salesforce Data-Cloud-Consultant Prüfungsplan:

ThemaEinzelheiten
Thema 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.
Thema 2
  • 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.
Thema 3
  • 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.
Thema 4
  • 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.
Thema 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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Data-Cloud-Consultant Zertifizierungsfragen, Data-Cloud-Consultant Musterprüfungsfragen

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Salesforce Certified Data 360 Consultant (Data-Con-101) Data-Cloud-Consultant Prüfungsfragen mit Lösungen (Q27-Q32):

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

Antwort: A

Begründung:
The design point is to preserve source fidelity while shaping data only where Data 360 processing needs it.
Here, The Tenant Specific Endpoint is auto-generated in Data 360 when setting the connector. fits because it changes the shape, keying, or refresh behavior at the Data 360 layer instead of forcing the source system to carry an analytics-specific design. In production, this keeps the upstream application simpler and gives the data team a repeatable way to prepare records for mapping, identity resolution, insights, or segmentation. 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.


28. Frage
A Data 360 Consultant for Northern Trail Outfitters is observing Identity Resolution processing metrics. The consultant notices that the volume of source profiles processed in the most recent batch is less than the total volume of source profiles. What is the most likely mechanism that causes source profiles to be skipped during Identity Resolution processing?

Antwort: C

Begründung:
The identity logic is about linking source profiles safely, then choosing the best surviving values for the unified profile. A profile is only processed if a pre-processing step confirms a change in its data since the last processing run. is appropriate because identity resolution needs reliable match inputs, qualified identifiers, and controlled reconciliation. It is not just deduplication; it is a rules-driven process that connects source records into a trusted unified profile. 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.


29. Frage
A consultant has an activation that is set to publish every 12 hours, but has discovered that updates to the data prior to activation are delayed by up to 24 hours.
Which two areas should a consultant review to troubleshoot this issue?
Choose 2 answers

Antwort: C,D

Begründung:
The correct answer is B and C because calculated insights and segments are both dependent on the data ingestion process. Calculated insights are derived from the data model objects and segments are subsets of data model objects that meet certain criteria. Therefore, both of them need to be updated after the data is ingested to reflect the latest changes. Data transformations are optional steps that can be applied to the data streams before they are mapped to the data model objects, so they are not relevant to the issue. Reviewing calculated insights to make sure they're run after the segments are refreshed (option D) is also incorrect because calculated insights are independent of segments and do not need to be refreshed after them. Reference: Salesforce Data Cloud Consultant Exam Guide, Data Ingestion and Modeling, Calculated Insights, Segments


30. Frage
A consultant notices that the unified individual profile is not storing the latest email address.
Which action should the consultant take to troubleshoot this issue?

Antwort: D

Begründung:
Understanding Unified Individual Profile:
The unified individual profile combines data from multiple sources to create a comprehensive view of each customer.
Reference: Salesforce Unified Profile Documentation
Issue with Latest Email Address:
If the latest email address is not being stored, the reconciliation rules, which determine how data from different sources is combined and updated, may be incorrectly configured.
Reference: Salesforce Data Reconciliation Overview
Reconciliation Rules:
These rules define which data source has priority and how conflicts are resolved when combining data.
Ensuring that these rules are correctly configured is essential for maintaining accurate and up-to-date profiles.
Reference: Salesforce Reconciliation Rules Guide
Steps to Troubleshoot:
Navigate to the reconciliation rules settings in Salesforce Data Cloud.
Review the current rules to ensure the correct handling of email addresses.
Verify that the rules prioritize the most recent data and handle duplicates appropriately.
Reference: Salesforce Reconciliation Rules Configuration Documentation


31. Frage
Which data model subject area defines the revenue or quantity for an opportunity by product family?

Antwort: C

Begründung:
The Sales Order subject area defines the details of an order placed by a customer for one or more products or services. It includes information such as the order date, status, amount, quantity, currency, payment method, and delivery method. The Sales Order subject area also allows you to track the revenue or quantity for an opportunity by product family, which is a grouping of products that share common characteristics or features. For example, you can use the Sales Order Line Item DMO to associate each product in an order with its product family, and then use the Sales Order Revenue DMO to calculate the total revenue or quantity for each product family in an opportunity. Reference: Sales Order Subject Area, Sales Order Revenue DMO Reference


32. Frage
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