Valid Test Data-Cloud-Consultant Format, Data-Cloud-Consultant Training Materials
Valid Test Data-Cloud-Consultant Format, Data-Cloud-Consultant Training Materials
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Salesforce Data-Cloud-Consultant Exam Syllabus Topics:
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>> Valid Test Data-Cloud-Consultant Format <<
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Salesforce Certified Data Cloud Consultant Sample Questions (Q64-Q69):
NEW QUESTION # 64
What is the role of artificial intelligence (AI) in Data Cloud?
- A. Generating email templates for use cases
- B. Enhancing customer interactions through insights and predictions
- C. Creating dynamic data-driven management dashboards
- D. Automating data validation
Answer: B
Explanation:
Role of AI in Data Cloud: Artificial intelligence (AI) plays a crucial role in Salesforce Data Cloud by leveraging data to generate insights and predictions that enhance customer interactions.
Insights and Predictions:
* AI Algorithms: Use machine learning algorithms to analyze vast amounts of customer data.
* Predictive Analytics: Provide predictive insights, such as customer behavior trends, preferences, and potential future actions.
Enhancing Customer Interactions:
* Personalization: AI helps in creating personalized experiences by predicting customer needs and preferences.
* Efficiency: Enables proactive customer service by predicting issues and suggesting solutions before customers reach out.
* Marketing: Improves targeting and segmentation, ensuring that marketing efforts are directed towards the most promising leads and customers.
Use Cases:
* Recommendation Engines: Suggest products or services based on past behavior and preferences.
* Churn Prediction: Identify customers at risk of leaving and engage them with retention strategies.
References:
* Salesforce Data Cloud AI Capabilities
* Salesforce AI for Customer Interaction
NEW QUESTION # 65
Northern Trail Outfitters (NTO) is configuring an identity resolution ruleset based on Fuzzy Name and Normalized Email.
What should NTO do to ensure the best email address is activated?
- A. Ensure Marketing Cloud is prioritized as the first data source in the Source Priority reconciliation rule.
- B. Set the default reconciliation rule to Last Updated.
- C. Use the source priority order in activations to make sure a contact point from the desired source is delivered to the activation target.
- D. Include Contact Point Email object Is Active field as a match rule.
Answer: C
Explanation:
NTO is using Fuzzy Name and Normalized Email as match rules to link together data from different sources into a unified individual profile. However, there might be cases where the same email address is available from more than one source, and NTO needs to decide which one to use for activation. For example, if Rachel has the same email address in Service Cloud and Marketing Cloud, but prefers to receive communications from NTO via Marketing Cloud, NTO needs to ensure that the email address from Marketing Cloud is activated. To do this, NTO can use the source priority order in activations, which allows them to rank the data sources in order of preference for activation. By placing Marketing Cloud higher than Service Cloud in the source priority order, NTO can make sure that the email address from Marketing Cloud is delivered to the activation target, such as an email campaign or a journey. This way, NTO can respect Rachel's preference and deliver a better customer experience. Reference: Configure Activations, Use Source Priority Order in Activations
NEW QUESTION # 66
When creating a segment on an individual, what is the result of using two separate containers linked by an AND as shown below?
GoodsProduct | Count | At Least | 1
Color | Is Equal To | red
AND
GoodsProduct | Count | At Least | 1
PrimaryProductCategory | Is Equal To | shoes
- A. Individuals who purchased at least one of any 'red' product or purchased at least one pair of
'shoes' - B. Individuals who purchased at least one of any red' product and also purchased at least one pair of 'shoes'
- C. Individuals who made a purchase of at least one 'red shoes' and nothing else
- D. Individuals who purchased at least one 'red shoes' as a single line item in a purchase
Answer: B
Explanation:
When creating a segment on an individual, using two separate containers linked by an AND means that the individual must satisfy both the conditions in the containers. In this case, the individual must have purchased at least one product with the color attribute equal to 'red' and at least one product with the primary product category attribute equal to 'shoes'. The products do not have to be the same or purchased in the same transaction. Therefore, the correct answer is A.
The other options are incorrect because they imply different logical operators or conditions. Option B implies that the individual must have purchased a single product that has both the color attribute equal to 'red' and the primary product category attribute equal to 'shoes'. Option C implies that the individual must have purchased only one product that has both the color attribute equal to 'red' and the primary product category attribute equal to 'shoes' and no other products. Option D implies that the individual must have purchased either one product with the color attribute equal to 'red' or one product with the primary product category attribute equal to 'shoes' or both, which is equivalent to using an OR operator instead of an AND operator.
Reference:
Create a Container for Segmentation
Create a Segment in Data Cloud
Navigate Data Cloud Segmentation
NEW QUESTION # 67
Which solution provides an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis?
- A. Email Studio Starter Data Bundle
- B. Automation Studio and Profile file API
- C. Marketing Cloud Data extension Data Stream
- D. Marketing Cloud Connect API
Answer: C
Explanation:
Explanation
The solution that provides an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis is the Marketing Cloud Data extension Data Stream. The Marketing Cloud Data extension Data Stream is a feature that allows customers to stream data from Marketing Cloud data extensions to Data Cloud data spaces. Customers can select which data extensions they want to stream, and Data Cloud will automatically create and update the corresponding data model objects (DMOs) in the data space.
Customers can also map the data extension fields to the DMO attributes using a user interface or an API. The Marketing Cloud Data extension Data Stream can help customers ingest subscriber profile attributes and other data from Marketing Cloud into Data Cloud without writing any code or setting up any complex integrations.
The other options are not solutions that provide an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis. Automation Studio and Profile file API are tools that can be used to export data from Marketing Cloud to external systems, but they require customers to write scripts, configure file transfers, and schedule automations. Marketing Cloud Connect API is an API that can be used to access data from Marketing Cloud in other Salesforce solutions, such as Sales Cloud or Service Cloud, but it does not support streaming data to Data Cloud. Email Studio Starter Data Bundle is a data kit that contains sample data and segments for Email Studio, but it does not contain subscriber profile attributes or stream data to Data Cloud.
References:
* Marketing Cloud Data Extension Data Stream
* Data Cloud Data Ingestion
* [Marketing Cloud Data Extension Data Stream API]
* [Marketing Cloud Connect API]
* [Email Studio Starter Data Bundle]
NEW QUESTION # 68
A consultant wants to confirm the Identity resolution they Just set up. Which two features can the consultant use to validate the data on a unified profile?
Choose 2 answers
- A. Data Explorer
- B. Data Actions
- C. Identity Resolution
- D. Query API
Answer: A,C
NEW QUESTION # 69
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