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Salesforce Data-Cloud-Consultant - Salesforce Certified Data Cloud Consultant(WI24) Certification Exam

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Question #1 (Topic: demo questions)

Which consideration related to the way Data Cloud ingests CRM data is true?

A.
CRM data cannot be manually refreshed and must wait for the next scheduled synchronization,
B.
The CRM Connector's synchronization times can be customized to up to 15-minute intervals.
C.
Formula fields are refreshed at regular sync intervals and are updated at the next full refresh.
D.
The CRM Connector allows standard fields to stream into Data Cloud in real time. 
Correct 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. Reference: 1: Connect and Ingest Data in Data Cloud article on Salesforce Help  
Question #2 (Topic: demo questions)

A Data Cloud customer wants to adjust their identity resolution rules to increase their accuracy of matches. Rather than matching on email address, they want to review a rule that joins their CRM Contacts with their Marketing Contacts, where both use the CRM ID as their primary key. Which two steps should the consultant take to address this new use case? Choose 2 answers

A.
Map the primary key from the two systems to Party Identification, using CRM ID as the identification name for both.
B.
Map the primary key from the two systems to party identification, using CRM ID as the identification name for individuals  coming from the CRM, and Marketing ID as the identification name for individuals coming from the marketing platform.
C.
Create a custom matching rule for an exact match on the Individual ID attribute.
D.
Create a matching rule based on party identification that matches on CRM ID as the party identification name. 
Correct Answer: A, D
Explanation:
To address this new use case, the consultant should map the primary key from the two systems to Party Identification, using CRM ID as the identification name for both, and create a matching rule based on party identification that matches on CRM ID as the party identification name. This way, the consultant can ensure that the CRM Contacts and Marketing Contacts are matched based on their CRM ID, which is a unique identifier for each individual. By using Party Identification, the consultant can also leverage the benefits of this attribute, such as being able to match across different entities and sources, and being able to handle multiple values for the same individual. The other options are incorrect because they either do not use the CRM ID as the primary key, or they do not use Party Identification as the attribute type. Reference: Configure Identity Resolution Rulesets, Identity Resolution Match Rules, Data Cloud Identity Resolution Ruleset, Data Cloud Identity Resolution Config Input
Question #3 (Topic: demo questions)

Where is value suggestion for attributes in segmentation enabled when creating the DMO?

A.
Data Mapping
B.
Data Transformation
C.
Segment Setup
D.
Data Stream Setup
Correct Answer: C
Explanation:
possible values for a text field when creating segment filters. You can enable or disable this feature for each data model object (DMO) field in the DMO record home. Value suggestion can be enabled for up to 500 attributes for your entire org. It can take up to 24 hours for suggested values to appear. To use value suggestion when creating segment filters, you need to drag the attribute onto the canvas and start typing in the Value field for an attribute. You can also select multiple values for some operators. Value suggestion is not available for attributes with more than 255 characters or for relationships that are one-to many (1:N). Reference: Use Value Suggestions in Segmentation, Considerations for Selecting Related Attributes
Question #4 (Topic: demo questions)

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

A.
SMS
B.
Email
C.
CloudPage
D.
Mobile push
Correct Answer: C
Explanation:
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
Question #5 (Topic: demo questions)

A consultant has an activation that is set to publish every 12 hours, but has discovered that updates to the data prior to activation are delayed by up to 24 hours. Which two areas should a consultant review to troubleshoot this issue? Choose 2 answers 

A.
Review data transformations to ensure they're run after calculated insights.
B.
Review calculated insights to make sure they're run before segments are refreshed.
C.
Review segments to ensure they're refreshed after the data is ingested.
D.
Review calculated insights to make sure they're run after the segments are refreshed. 
Next Question
Correct Answer: B
Explanation:
 The correct answer is B and C because calculated insights and segments are both dependent on the data ingestion process. Calculated insights are derived from the data model objects and segments are subsets of data model objects that meet certain criteria. Therefore, both of them need to be updated after the data is ingested to reflect the latest changes. Data transformations are optional steps that can be applied to the data streams before they are mapped to the data model objects, so they are not relevant to the issue. Reviewing calculated insights to make sure they’re run after the segments are refreshed (option D) is also incorrect because calculated insights are independent of segments and do not need to be refreshed after them. Reference: Salesforce Data Cloud Consultant Exam Guide, Data Ingestion and Modeling, Calculated Insights, Segments 
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