TOP EXAM DUMPS DATA-CLOUD-CONSULTANT PROVIDER | HIGH-QUALITY SALESFORCE DATA-CLOUD-CONSULTANT: SALESFORCE CERTIFIED DATA CLOUD CONSULTANT 100% PASS

Top Exam Dumps Data-Cloud-Consultant Provider | High-quality Salesforce Data-Cloud-Consultant: Salesforce Certified Data Cloud Consultant 100% Pass

Top Exam Dumps Data-Cloud-Consultant Provider | High-quality Salesforce Data-Cloud-Consultant: Salesforce Certified Data Cloud Consultant 100% Pass

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Salesforce Data-Cloud-Consultant Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 Cloud Consultant Sample Questions (Q87-Q92):

NEW QUESTION # 87
How should a Data Cloud consultant successfully apply consent during segmentation?

  • A. Include the Consent Status for any applicable channels of engagement in the filter criteria for each segment.
  • B. Include the Unified Profile during segmentation for any applicable channels of engagement.
  • C. Include the Consent Status from the golden record during activation for any applicable channels of engagement.
  • D. Include Party Identification for any applicable channels of engagement in the filter criteria for each segment.

Answer: A

Explanation:
Understanding Consent Management in Salesforce Data Cloud:
* Consent management is crucial for maintaining compliance with data protection regulations like GDPR and CCPA. It ensures that customer data is used in accordance with their given permissions.


NEW QUESTION # 88
Cumulus Financial is currently using Data Cloud and ingesting transactional data from its backend system via an S3 Connector in upsert mode. During the initial setup six months ago, the company created a formula field in Data Cloud to create a custom classification. It now needs to update this formula to account for more classifications.
What should the consultant keep in mind with regard to formula field updates when using the S3 Connector?

  • A. Data Cloud will only update the formula on a go-forward basis for new records.
  • B. Data Cloud does not support formula field updates for data streams of type upsert.
  • C. Data Cloud will update the formula for all records at the next incremental upsert refresh.
  • D. Data Cloud will initiate a full refresh of data from $3 and will update the formula on all records.

Answer: C

Explanation:
Explanation
A formula field is a field that calculates a value based on other fields or constants. When using the S3 Connector to ingest data from an Amazon S3 bucket, Data Cloud supports creating and updating formula fields on the data lake objects (DLOs) that store the data from the S3 source.However, the formula field updates are not applied immediately, but rather at the next incremental upsert refresh of the data stream. An incremental upsert refresh is a process that adds new records and updates existing records from the S3 source to the DLO based on the primary key field. Therefore, the consultant should keep in mind that the formula field updates will affect both new and existing records, but only after the next incremental upsert refresh of the data stream. The other options are incorrect because Data Cloud does not initiate a full refresh of data from S3, does not update the formula only for new records, and does support formula field updates for data streams of type upsert. References: Create a Formula Field, Amazon S3 Connection, Data Lake Object


NEW QUESTION # 89
What does the Source Sequence reconciliation rule do in identity resolution?

  • A. Includes data from sources where the data is most frequently occurring
  • B. Identifies which individual records should be merged into a unified profile by setting a priority for specific data sources
  • C. Identifies which data sources should be used in the process of reconcillation by prioritizing the most recently updated data source
  • D. Sets the priority of specific data sources when building attributes in a unified profile, such as a first or last name

Answer: D

Explanation:
The Source Sequence reconciliation rule sets the priority of specific data sources when building attributes in a unified profile, such as a first or last name. This rule allows you to define which data source should be used as the primary source of truth for each attribute, and which data sources should be used as fallbacks in case the primary source is missing or invalid. For example, you can set the Source Sequence rule to use data from Salesforce CRM as the first priority, data from Marketing Cloud as the second priority, and data from Google Analytics as the third priority for the first name attribute. This way, the unified profile will use the first name value from Salesforce CRM if it exists, otherwise it will use the value from Marketing Cloud, and so on. This rule helps you to ensure the accuracy and consistency of the unified profile attributes across different data sources. References: Salesforce Data Cloud Consultant Exam Guide, Identity Resolution, Reconciliation Rules


NEW QUESTION # 90
A customer has a requirement to receive a notification whenever an activation fails for a particular segment.
Which feature should the consultant use to solution for this use case?

  • A. Flow
  • B. Activation alert
  • C. Report
  • D. Dashboard

Answer: B

Explanation:
Explanation
The feature that the consultant should use to solution for this use case is C. Activation alert. Activation alerts are notifications that are sent to users when an activation fails or succeeds for a segment. Activation alerts can be configured in the Activation Settings page, where the consultant can specify the recipients, the frequency, and the conditions for sending the alerts. Activation alerts can help the customer to monitor the status of their activations and troubleshoot any issues that may arise. References: Salesforce Data Cloud Consultant Exam Guide, Activation Alerts


NEW QUESTION # 91
Which information is provided in a .csv file when activating to Amazon S3?

  • A. An audit log showing the user who activated the segment and when it was activated
  • B. The manifest of origin sources within Data Cloud
  • C. The activated data payload
  • D. The metadata regarding the segment definition

Answer: C

Explanation:
When activating to Amazon S3, the information that is provided in a .csv file is the activated data payload. The activated data payload is the data that is sent from Data Cloud to the activation target, which in this case is an Amazon S3 bucket1. The activated data payload contains the attributes and values of the individuals or entities that are included in the segment that is being activated2. The activated data payload can be used for various purposes, such as marketing, sales, service, or analytics3. The other options are incorrect because they are not provided in a .csv file when activating to Amazon S3. Option A is incorrect because an audit log is not provided in a .csv file, but it can be viewed in the Data Cloud UI under the Activation History tab4. Option C is incorrect because the metadata regarding the segment definition is not provided in a .csv file, but it can be viewed in the Data Cloud UI under the Segmentation tab5. Option D is incorrect because the manifest of origin sources within Data Cloud is not provided in a .csv file, but it can be viewed in the Data Cloud UI under the Data Sources tab. References: Data Activation Overview, Create and Activate Segments in Data Cloud, Data Activation Use Cases, View Activation History, Segmentation Overview, [Data Sources Overview]


NEW QUESTION # 92
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