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Salesforce Data-Cloud-Consultant Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 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.
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	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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Salesforce Certified Data 360 Consultant (Data-Con-101) Sample Questions (Q66-Q71):

NEW QUESTION # 66
Which data model subject area defines the revenue or quantity for an opportunity by product family?

A. Sales Order
B. Product
C. Engagement
D. Party

Answer: A

Explanation:
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. References: Sales Order Subject Area, Sales Order Revenue DMO Reference

NEW QUESTION # 67
Northern Trail Qutfitters wants to be able to calculate each customer's lifetime value {LTV) but also create breakdowns of the revenue sourced by website, mobile app, and retail channels.
What should a consultant use to address this use case in Data Cloud?

A. Flow Orchestration
B. Nested segments
C. Streaming data transform
D. Metrics on metrics

Answer: D

Explanation:
Explanation
Metrics on metrics is a feature that allows creating new metrics based on existing metrics and applying mathematical operations on them. This can be useful for calculating complex business metrics such as LTV, ROI, or conversion rates. In this case, the consultant can use metrics on metrics to calculate the LTV of each customer by summing up the revenue generated by them across different channels. The consultant can also create breakdowns of the revenue by channel by using the channel attribute as a dimension in the metric definition. References: Metrics on Metrics, Create Metrics on Metrics

NEW QUESTION # 68
Which consideration related to the way Data Cloud ingests CRM data is true?

A. The CRM Connector's synchronization times can be customized to up to 15-minute intervals.
B. Formula fields are refreshed at regular sync intervals and are updated at the next full refresh.
C. CRM data cannot be manually refreshed and must wait for the next scheduled synchronization,
D. The CRM Connector allows standard fields to stream into Data Cloud in real time.

Answer: D

Explanation:
The correct answer is D. The CRM Connector allows standard fields to stream into Data Cloud in real time.
This means that any changes to the standard fields in the CRM data source are reflected in Data Cloud almost instantly, without waiting for the next scheduled synchronization. This feature enables Data Cloud to have the most up-to-date and accurate CRM data for segmentation and activation1.
The other options are incorrect for the following reasons:
A). CRM data can be manually refreshed at any time by clicking the Refresh button on the data stream detail page2. This option is false.
B). The CRM Connector's synchronization times can be customized to up to 60-minute intervals, not 15- minute intervals3. This option is false.
C). Formula fields are not refreshed at regular sync intervals, but only at the next full refresh4. A full refresh is a complete data ingestion process that occurs once every 24 hours or when manually triggered. This option is false.
1: Connect and Ingest Data in Data Cloud article on Salesforce Help
2: Data Sources in Data Cloud unit on Trailhead
3: Data Cloud for Admins module on Trailhead
4: [Formula Fields in Data Cloud] unit on Trailhead
[Data Streams in Data Cloud] unit on Trailhead

NEW QUESTION # 69
How does Data Cloud ensure data privacy and security?

A. BY limiting data access to authorized admins
B. By encrypting data at rest and in transit
C. By securely storing data in an offsite server
D. By enforcing and controlling consent references

Answer: B

NEW QUESTION # 70
How does Data Cloud ensure data privacy and security?

A. BY limiting data access to authorized admins
B. By encrypting data at rest and in transit
C. By securely storing data in an offsite server
D. By enforcing and controlling consent references

Answer: B

Explanation:
* Data Privacy and Security in Data Cloud:
Ensuring data privacy and security is paramount in Salesforce Data Cloud.
Reference:
* Key Security Measures:
Encrypting Data at Rest and in Transit:
Data encryption ensures that information is protected from unauthorized access both when stored and when transmitted.
Enforcing and Controlling Consent Preferences:
Consent management ensures that data usage complies with customer permissions and regulatory requirements.
* Steps to Implement Security Measures:
Data Encryption:
Enable encryption for data at rest using Salesforce Shield.
Ensure TLS/SSL encryption is used for data in transit.
Consent Management:
Set up and enforce consent preferences within Data Cloud.
Regularly audit and update consent records.
* Practical Application:
Example: A financial institution uses encryption to secure customer financial data and manages consent to comply with GDPR.

NEW QUESTION # 71
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