Reliable Salesforce Data-Cloud-Consultant Exam Test, Data-Cloud-Consultant New Braindumps Ebook

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Salesforce Data-Cloud-Consultant Exam Syllabus Topics:

Topic	Details
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	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.
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.

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Salesforce Certified Data Cloud Consultant Sample Questions (Q140-Q145):

NEW QUESTION # 140
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. Select contact points.
B. Add the calculated insight in the activation.
C. Choose a segment.
D. Add additional attributes.

Answer: A,C

Explanation:
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

NEW QUESTION # 141
Which data model subject area defines the revenue or quantity for an opportunity by product family?

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

Answer: B

Explanation:
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 # 142
Which two requirements must be met for a calculated insight to appear in the segmentation canvas?
Choose 2 answers

A. The primary key of the segmented table must be a metric in the calculated insight.
B. The calculated insight must contain a dimension including the Individual or Unified Individual Id.
C. The primary key of the segmented table must be a dimension in the calculated insight.
D. The metrics of the calculated insights must only contain numeric values.

Answer: B,C

Explanation:
A calculated insight is a custom metric or measure that is derived from one or more data model objects or data lake objects in Data Cloud. A calculated insight can be used in segmentation to filter or group the data based on the calculated value. However, not all calculated insights can appear in the segmentation canvas.
There are two requirements that must be met for a calculated insight to appear in the segmentation canvas:
The calculated insight must contain a dimension including the Individual or Unified Individual Id. A dimension is a field that can be used to categorize or group the data, such as name, gender, or location.
The Individual or Unified Individual Id is a unique identifier for each individual profile in Data Cloud.
The calculated insight must include this dimension to link the calculated value to the individual profile and to enable segmentation based on the individual profile attributes.
The primary key of the segmented table must be a dimension in the calculated insight. The primary key is a field that uniquely identifies each record in a table. The segmented table is the table that contains the data that is being segmented, such as the Customer or the Order table. The calculated insight must include the primary key of the segmented table as a dimension to ensure that the calculated value is associated with the correct record in the segmented table and to avoid duplication or inconsistency in the segmentation results.
References: Create a Calculated Insight, Use Insights in Data Cloud, Segmentation

NEW QUESTION # 143
Northern Trail Outfitters wants to use some of its Marketing Cloud data in Data Cloud.
Which engagement channel data will require custom integration?

A. Mobile push
B. Email
C. SMS
D. CloudPage

Answer: D

Explanation:
CloudPage is a web page that can be personalized and hosted by Marketing Cloud. It is not one of the standard engagement channels that Data Cloud supports out of the box. To use CloudPage data in Data Cloud, a custom integration is required. The other engagement channels (SMS, email, and mobile push) are supported by Data Cloud and can be integrated using the Marketing Cloud Connector or the Marketing Cloud API. Reference: Data Cloud Overview, Marketing Cloud Connector, Marketing Cloud API

NEW QUESTION # 144
What does the Source Sequence reconciliation rule do in identity resolution?

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

Answer: A

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. Reference: Salesforce Data Cloud Consultant Exam Guide, Identity Resolution, Reconciliation Rules

NEW QUESTION # 145
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RELIABLE SALESFORCE DATA-CLOUD-CONSULTANT EXAM TEST, DATA-CLOUD-CONSULTANT NEW BRAINDUMPS EBOOK

Reliable Salesforce Data-Cloud-Consultant Exam Test, Data-Cloud-Consultant New Braindumps Ebook