SALESFORCE - EFFICIENT DATA-CLOUD-CONSULTANT - SALESFORCE CERTIFIED DATA CLOUD CONSULTANT NEW EXAM CAMP

Salesforce - Efficient Data-Cloud-Consultant - Salesforce Certified Data Cloud Consultant New Exam Camp

Salesforce - Efficient Data-Cloud-Consultant - Salesforce Certified Data Cloud Consultant New Exam Camp

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Salesforce Data-Cloud-Consultant Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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.

Salesforce Certified Data Cloud Consultant Sample Questions (Q167-Q172):

NEW QUESTION # 167
Northern Trail Outfitters (NTO) asks its Data Cloud consultant for a list of contacts who fit within a certain segment for a mailing campaign.
How should the consultant provide this list to NTO?

  • A. Create the segment and then activate the segment to NTO's Salesforce CRM.
  • B. Create the segment, select Email as the activation target, and activate the segment di nearly to NTO.
  • C. Create the segment and then click Download to obtain the segment membership details to provide to NTO.
  • D. Create a new file storage activation target, create the segment, and then activate the segment to the new activation target.

Answer: D

Explanation:
Segment Creation in Data Cloud: Salesforce Data Cloud allows the creation of segments based on specific criteria for targeted marketing campaigns.
Activation Targets: After creating a segment, it must be activated to make the data available for use. Various activation targets can be configured based on how the segment data will be used.
File Storage Activation Target: To provide a list of contacts fitting a segment, creating a file storage activation target allows the segment data to be exported as a file. This file can then be shared with NTO for their mailing campaign.
Process:
* Define the segment criteria in Salesforce Data Cloud.
* Create a new file storage activation target.
* Activate the segment to this target, which generates a downloadable file containing the segment membership details.
References:
* Salesforce Data Cloud Documentation: Segmentation
* Salesforce Data Cloud Activation


NEW QUESTION # 168
A consultant is setting up a data stream with transactional data,
Which field type should the consultant choose to ensure that leading
zeros in the purchase order number are preserved?

  • A. Text
  • B. Number
  • C. Serial
  • D. Decimal

Answer: A

Explanation:
The field type Text should be chosen to ensure that leading zeros in the purchase order number are preserved.
This is because text fields store alphanumeric characters as strings, and do not remove any leading or trailing characters. On the other hand, number, decimal, and serial fields store numeric values as numbers, and automatically remove any leading zeros when displaying or exporting the data123. Therefore, text fields are more suitable for storing data that needs to retain its original format, such as purchase order numbers, zip codes, phone numbers, etc. References:
* Zeros at the start of a field appear to be omitted in Data Exports
* Keep First '0' When Importing a CSV File
* Import and export address fields that begin with a zero or contain a plus symbol


NEW QUESTION # 169
A customer has a custom Customer Email c object related to the standard Contact object in Salesforce CRM.
This custom object
stores the email addressa Contact that they want to use for activation.
To which data entity ismapped?

  • A. Contact
  • B. Individual
  • C. Contact Point_Email
  • D. Custom customer Email__c object

Answer: C

Explanation:
Explanation
The Contact Point_Email object is the data entity that represents an email address associated with an individual in Data Cloud. It is part of the Customer 360 Data Model, which is a standardized data model that defines common entities and relationships for customer data. The Contact Point_Email object can be mapped to any custom or standard object that stores email addresses in Salesforce CRM, such as the custom Customer Email__c object. The other options are not the correct data entities to map to because:
* A. The Contact object is the data entity that represents a person who is associated with an account that is a customer, partner, or competitor in Salesforce CRM. It is not the data entity that represents an email address in Data Cloud.
* C. The custom Customer Email__c object is not a data entity in Data Cloud, but a custom object in Salesforce CRM. It can be mapped to a data entity in Data Cloud, such as the Contact Point_Email object, but it is not a data entity itself.
* D. The Individual object is the data entity that represents a unique person in Data Cloud. It is the core entity for managing consent and privacy preferences, and it can be related to one or more contact points, such as email addresses, phone numbers, or social media handles. It is not the data entity that represents an email address in Data Cloud. References: Customer 360 Data Model: Individual and Contact Points - Salesforce, Contact Point_Email | Object Reference for the Salesforce Platform | Salesforce Developers,
[Contact | Object Reference for the Salesforce Platform | Salesforce Developers], [Individual | Object Reference for the Salesforce Platform | Salesforce Developers]


NEW QUESTION # 170
A consultant needs to package Data Cloud components from one
organization to another.
Which two Data Cloud components should the consultant include in a
data kit to achieve this goal?
Choose 2 answers

  • A. Identity resolution rulesets
  • B. Data model objects
  • C. Calculated insights
  • D. Segments

Answer: A,B

Explanation:
To package Data Cloud components from one organization to another, the consultant should include the following components in a data kit:
Data model objects: These are the custom objects that define the data model for Data Cloud, such as Individual, Segment, Activity, etc. They store the data ingested from various sources and enable the creation of unified profiles and segments1.
Identity resolution rulesets: These are the rules that determine how data from different sources are matched and merged to create unified profiles. They specify the criteria, logic, and priority for identity resolution2. Reference:
1: Data Model Objects in Data Cloud
2: Identity Resolution Rulesets in Data Cloud


NEW QUESTION # 171
Which operator should a consultant use to create a segment for a birthday campaign that is evaluated daily?

  • A. Is Between
  • B. Is Today
  • C. Is Anniversary Of
  • D. Is Birthday

Answer: C

Explanation:
To create a segment for a birthday campaign that is evaluated daily, the consultant should use the Is Anniversary Of operator. This operator compares a date field with the current date and returns true if the month and day are the same, regardless of the year. For example, if the date field is 1990-01-01 and the current date is 2023-01-01, the operator returns true. This way, the consultant can create a segment that includes all the customers who have their birthday on the same day as the current date, and the segment will be updated daily with the new birthdays. The other options are not the best operators to use for this purpose because:
* A. The Is Today operator compares a date field with the current date and returns true if the date is the same, including the year. For example, if the date field is 1990-01-01 and the current date is
2023-01-01, the operator returns false. This operator is not suitable for a birthday campaign, as it will only include the customers who were born on the same day and year as the current date, which is very unlikely.
* B. The Is Birthday operator is not a valid operator in Data Cloud. There is no such operator available in the segment canvas or the calculated insight editor.
* C. The Is Between operator compares a date field with a range of dates and returns true if the date is within the range, including the endpoints. For example, if the date field is 1990-01-01 and the range is
2022-12-25 to 2023-01-05, the operator returns true. This operator is not suitable for a birthday campaign, as it will only include the customers who have their birthday within a fixed range of dates, and the segment will not be updated daily with the new birthdays.


NEW QUESTION # 172
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