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Salesforce Data-Cloud-Consultant Exam Overview:
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Salesforce Data-Cloud-Consultant 考試大綱:
| 主題 | 簡介 |
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| 主題 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.
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| 主題 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.
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| 主題 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.
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| 主題 4 | - 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.
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| 主題 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.
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最新的 Salesforce Data Cloud Data-Cloud-Consultant 免費考試真題 (Q105-Q110):
問題 #105
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?
- A. The B2C Commerce Order Bundle ingests 30 days of historical data.
- B. The B2C Commerce Order Bundle ingests 12 months of historical data.
- C. The B2C Commerce Order Bundle does not ingest any historical data and only ingests new orders from that point on.
- D. The B2C Commerce Order Bundle ingests 6 months of historical data.
答案:C
解題說明:
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. References:
* Create a B2C Commerce Data Bundle
* Data Access and Export for B2C Commerce and Commerce Marketplace
問題 #106
Northern Trail Outfitters (NTD) creates a calculated insight to compute recency, frequency, monetary {RFM) scores on its unified individuals. NTO then creates a segment based on these scores that it activates to a Marketing Cloud activation target.
Which two actions are required when configuring the activation?
Choose 2 answers
- A. Add the calculated insight in the activation.
- B. Choose a segment.
- C. Select contact points.
- D. Add additional attributes.
答案:B,C
解題說明:
To configure an activation to a Marketing Cloud activation target, you need to choose a segment and select contact points. Choosing a segment allows you to specify which unified individuals you want to activate. Selecting contact points allows you to map the attributes from the segment to the fields in the Marketing Cloud data extension. You do not need to add additional attributes or add the calculated insight in the activation, as these are already part of the segment definition. Reference: Create a Marketing Cloud Activation Target; Types of Data Targets in Data Cloud
問題 #107
A customer is trying to activate data from Data Cloud to an Amazon S3 Cloud File Storage Bucket.
Which authentication type should the consultant recommend to connect to the S3 bucket from Data Cloud?
- A. Use a JWT Token generated on S3.
- B. Use an S3 Private Key Certificate.
- C. Use an S3 Access Key and Secret Key.
- D. Use an S3 Encrypted Username and Password.
答案:C
解題說明:
Explanation
To use the Amazon S3 Storage Connector in Data Cloud, the consultant needs to provide the S3 bucket name, region, and access key and secret key for authentication. The access key and secret key are generated by AWS and can be managed in the IAM console. The other options are not supported by the S3 Storage Connector or by Data Cloud. References: Amazon S3 Storage Connector - Salesforce, How to Use the Amazon S3 Storage Connector in Data Cloud | Salesforce Developers Blog Learn more 1blob:https://www.bing.com/fed40cd6-30db-497b-a587-44e59b9e1f0bhelp.salesforce.com2blob:https://www.bin
問題 #108
Which two dependencies prevent a data stream from being deleted?
Choose 2 answers
- A. The underlying data lake object is mapped to a data model object.
- B. The underlying data lake object is used in segmentation.
- C. The underlying data lake object is used in activation.
- D. The underlying data lake object is used in a data transform.
答案:A,D
解題說明:
Explanation
To delete a data stream in Data Cloud, the underlying data lake object (DLO) must not have any dependencies or references to other objects or processes. The following two dependencies prevent a data stream from being deleted1:
* Data transform: This is a process that transforms the ingested data into a standardized format and structure for the data model. A data transform can use one or more DLOs as input or output. If a DLO is used in a data transform, it cannot be deleted until the data transform is removed or modified2.
* Data model object: This is an object that represents a type of entity or relationship in the data model. A data model object can be mapped to one or more DLOs to define its attributes and values. If a DLO is mapped to a data model object, it cannot be deleted until the mapping is removed or changed3.
References:
* 1: Delete a Data Stream article on Salesforce Help
* 2: [Data Transforms in Data Cloud] unit on Trailhead
* 3: [Data Model in Data Cloud] unit on Trailhead
問題 #109
How should a Data Cloud consultant successfully apply consent during segmentation?
- A. Include the Consent Status from the golden record during activation for any applicable channels of engagement.
- B. Include the Consent Status for any applicable channels of engagement in the filter criteria for each segment.
- C. Include the Unified Profile during segmentation for any applicable channels of engagement.
- D. Include Party Identification for any applicable channels of engagement in the filter criteria for each segment.
答案:B
解題說明:
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.
Reference: Salesforce Consent Management Documentation
Role of Consent Status in Segmentation:
The Consent Status indicates whether a customer has agreed or opted-in to specific types of communication or data processing activities.
During segmentation, applying the correct consent status ensures that only those customers who have provided the necessary permissions are included in targeted campaigns.
Reference: Salesforce Data Cloud Consent Management Overview
Implementation of Consent Status in Segmentation:
When creating segments, including the Consent Status in the filter criteria helps to dynamically segment the audience based on their consent preferences.
This ensures compliance and improves the relevance and personalization of communications.
Example: If creating a marketing campaign for email outreach, the segment would only include customers who have a consent status allowing email communication.
Reference: Salesforce Data Cloud Segmentation Guide
Practical Application:
Go to the segmentation tool within Salesforce Data Cloud.
In the filter criteria, add the Consent Status attribute relevant to the channel of engagement.
Define the values (e.g., Opted-in, Subscribed) to ensure only compliant customer profiles are included.
問題 #110
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