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Salesforce Data-Cloud-Consultant Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 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	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 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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Salesforce Certified Data Cloud Consultant Sample Questions (Q116-Q121):

NEW QUESTION # 116
What is the primary purpose of Data Cloud?

A. Analyzing marketing data results
B. Providing a golden record of a customer
C. Managing sales cycles and opportunities
D. Integrating and unifying customer data

Answer: D

Explanation:
Primary Purpose of Data Cloud:
* Salesforce Data Cloud's main function is to integrate and unify customer data from various sources, creating a single, comprehensive view of each customer.

NEW QUESTION # 117
Luxury Retailers created a segment targeting high value customers that it activates through Marketing Cloud for email communication. The company notices that the activated count is smaller than the segment count.
What is a reason for this?

A. Marketing Cloud activations automatically suppress individuals who are unengaged and have not opened or clicked on an email in the last six months.
B. Marketing Cloud activations apply a frequency cap and limit the number of records that can be sent in an activation.
C. Marketing Cloud activations only activate those individuals that already exist in Marketing Cloud.They do not allow activation of new records.
D. Data Cloud enforces the presence of Contact Point for Marketing Cloud activations. If the individual does not have a related Contact Point, it will not be activated.

Answer: D

Explanation:
Data Cloud requires a Contact Point for Marketing Cloud activations, which is a record that links an individual to an email address. This ensures that the individual has given consent to receive email communications and that the email address is valid. If the individual does not have a related Contact Point, they will not be activated in Marketing Cloud. This may result in a lower activated count than the segment count. Reference: Data Cloud Activation, Contact Point for Marketing Cloud

NEW QUESTION # 118
The Salesforce CRM Connector is configured and the Case object data stream is set up. Subsequently, a new custom field named Business Priority is created on the Case object in Salesforce CRM. However, the new field is not available when trying to add it to the data stream.
Which statement addresses the cause of this issue?

A. Customfields on the Case object are not supportedfor ingesting into Data Cloud.
B. The Salesforce Data Loader application should beused to perform a bulk upload from a desktop.
C. After 24 hourswhen the data stream refreshesit will automatically include any new fields that were added to the Salesforce CRM.
D. The Salesforce Integration User Is missing Rad permissions on the newly created field.

Answer: D

Explanation:
Explanation
The Salesforce CRM Connector uses the Salesforce Integration User to access the data from the Salesforce CRM org. The Integration User must have the Read permission on the fields that are included in the data stream. If the Integration User does not have the Read permission on the newly created field, the field will not be available for selection in the data stream configuration. To resolve this issue, the administrator should assign the Read permission on the new field to the Integration User profile or permission set. References: Create a Salesforce CRM Data Stream, Edit a Data Stream, Salesforce Data Cloud Full Refresh for CRM, SFMC, or Ingestion API Data Streams

NEW QUESTION # 119
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 metadata regarding the segment definition
C. The activated data payload
D. The manifest of origin sources within Data Cloud

Answer: C

Explanation:
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 theactivation 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 # 120
A customer has multiple team members who create segment audiences that work in different time zones. One team member works at the home office in the Pacific time zone, that matches the org Time Zone setting.
Another team member works remotely in the Eastern time zone.
Which user will see their home time zone in the segment and activation schedule areas?

A. Both team members; Data Cloud adjusts the segment and activation schedules to the time zone of the logged-in user
B. The team member in the Pacific time zone.
C. Neither team member; Data Cloud shows all schedules in GMT.
D. The team member in the Eastern time zone.

Answer: A

Explanation:
The correct answer is D, both team members; Data Cloud adjusts the segment and activation schedules to the time zone of the logged-in user. Data Cloud uses the time zone settings of the logged-in user to display the segment and activation schedules. This means that each user will see the schedules in their own home time zone, regardless of the org time zone setting or the location of other team members. This feature helps users to avoid confusion and errors when scheduling segments and activations across different time zones. The other options are incorrect because they do not reflect how Data Cloud handles time zones. The team member in the Pacific time zone will not see the same time zone as the org time zone setting, unless their personal time zone setting matches the org time zone setting. The team member in the Eastern time zone will not see the schedules in the org time zone setting, unless their personal time zone setting matches the org time zone setting. Data Cloud does not show all schedules in GMT, but rather in the user's local time zone. References:
* Data Cloud Time Zones
* Change default time zones for Users and the organization
* Change your time zone settings in Salesforce, Google & Outlook
* DateTime field and Time Zone Settings in Salesforce

NEW QUESTION # 121
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100% PASS QUIZ HIGH-QUALITY SALESFORCE - VALID DATA-CLOUD-CONSULTANT BRAINDUMPS

100% Pass Quiz High-quality Salesforce - Valid Data-Cloud-Consultant Braindumps