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Title: Data-Cloud-Consultant Mock Exams & Data-Cloud-Consultant Reliable Study Ques [Print This Page]
Author: ericmil135    Time: yesterday 15:29
Title: Data-Cloud-Consultant Mock Exams & Data-Cloud-Consultant Reliable Study Ques
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Salesforce Data-Cloud-Consultant Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 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 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.

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Salesforce Certified Data Cloud Consultant Sample Questions (Q26-Q31):NEW QUESTION # 26
A consultant is connecting sales order data to Data Cloud and considers whether to use the Profile, Engagement, or Other categories to map the DLO. The consultant chooses to map the DLO called Order-Headers to the Sales Order DMO using the Engagement category.
What is the impact of this action on future mappings?
Answer: D
Explanation:
Data Lake Objects (DLOs) and Data Model Objects (DMOs): In Salesforce Data Cloud, DLOs are mapped to DMOs to organize and structure data. Categories like Profile, Engagement, and Other define how these mappings are used.
Engagement Category: Mapping a DLO to the Engagement category indicates that the data is related to customer interactions and activities.
Impact on Future Mappings:
* Engagement Category Restriction: When a DLO like Order-Headers is mapped to the Sales Order DMO under the Engagement category, future mappings of the Sales Order DMO are restricted to Engagement category DLOs.
* Category Assignment: The Sales Order DMO is assigned to the Engagement category, meaning only DLOs categorized as Engagement can be mapped to it in the future.
Benefits:
* Consistency: Ensures consistent data categorization and usage, aligning data with its intended purpose.
* Accuracy: Helps in maintaining the integrity of data mapping and ensures that engagement-related data is accurately captured and utilized.
References:
* Salesforce Data Cloud Mapping
* Salesforce Data Cloud Categories

NEW QUESTION # 27
Northern Trail Outfitters uses B2C Commerce and is exploring implementing Data Cloud to get a unified view of its customers and all their order transactions.
What should the consultant keep in mind with regard to historical data ingesting order data using the B2C Commerce Order Bundle?
Answer: C
Explanation:
The B2C Commerce Order Bundle is a data bundle that creates a data stream to flow order data from a B2C Commerce instance to Data Cloud. However, this data bundle does not ingest any historical data and only ingests new orders from the time the data stream is created. Therefore, if a consultant wants to ingest historical order data, they need to use a different method, such as exporting the data from B2C Commerce and importing it to Data Cloud using a CSV file12. Reference:
Create a B2C Commerce Data Bundle
Data Access and Export for B2C Commerce and Commerce Marketplace

NEW QUESTION # 28
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?
Answer: C
Explanation:
Understanding Unified Individual Profile:
* The unified individual profile combines data from multiple sources to create a comprehensive view of each customer.

NEW QUESTION # 29
Cumulus Financial wants to create a segment of individuals based on transaction history dat a. This data has been mapped in the data model and is accessible via multiple container paths for segmentation.
What happens if the optimal container path for this use case is not selected?
Answer: D
Explanation:
In Salesforce Data Cloud, when segmenting individuals based on transaction history data, there may be multiple paths to the same data through different objects in the data model. If the wrong container path is selected:
The segment may pull in too many or too few individuals because different container paths may define relationships differently.
Some records may be unintentionally excluded or duplicated, affecting segmentation accuracy.
Identity resolution and relationships between objects might not behave as expected.
Why Not A? Data Cloud does not suggest alternate container paths automatically. The user must choose the correct path.
Why Not C? Data Cloud does not automatically select the optimal path; it relies on the user's selection.
Why Not D? The segment will still be generated but may have inaccurate results.
Salesforce Data Cloud Reference:
Salesforce Help Documentation - Data Model and Segmentation Best Practices Trailhead Module: Segmentation in Data Cloud Salesforce Knowledge Base - Using Container Paths for Segmentation

NEW QUESTION # 30
A consultant is discussing the benefits of Data Cloud with a customer that has multiple disjointed data sources.
Which two functional areas should the consultant highlight in relation to managing customer data?
Choose 2 answers
Answer: B,C
Explanation:
Data Cloud is an open and extensible data platform that enables smarter, more efficient AI with secure access to first-party and industry data1. Two functional areas that the consultant should highlight in relation to managing customer data are:
Data Harmonization: Data Cloud harmonizes data from multiple sources and formats into a common schema, enabling a single source of truth for customer data1. Data Cloud also applies data quality rules and transformations to ensure data accuracy and consistency.
Unified Profiles: Data Cloud creates unified profiles of customers and prospects by linking data across different identifiers, such as email, phone, cookie, and device ID1. Unified profiles provide a holistic view of customer behavior, preferences, and interactions across channels and touchpoints. The other options are not correct because:
Master Data Management: Master Data Management (MDM) is a process of creating and maintaining a single, consistent, and trusted source of master data, such as product, customer, supplier, or location data. Data Cloud does not provide MDM functionality, but it can integrate with MDM solutions to enrich customer data.
Data Marketplace: Data Marketplace is a feature of Data Cloud that allows users to discover, access, and activate data from third-party providers, such as demographic, behavioral, and intent data. Data Marketplace is not a functional area related to managing customer data, but rather a source of external data that can enhance customer data. Reference:
Salesforce Data Cloud
[Data Harmonization for Data Cloud]
[Unified Profiles for Data Cloud]
[What is Master Data Management?]
[Integrate Data Cloud with Master Data Management]
[Data Marketplace for Data Cloud]

NEW QUESTION # 31
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