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Data-Cloud-Consultant Practice Questions

Question # 1
A bank collects customer data for its loan applicants and high net worth customers. A customer can be both a load applicant and a high net worth customer, resulting in duplicate data. How should a consultant ingest and map this data in Data Cloud?
A. Use a data transform to consolidate the data into one DLO and them map it to the individual and Contact Point Email DMOs.
B. Ingest the data into two DLOs and map each to the individual and Contact point Email DMOs.
C. Ingest the data into two DLOs and then map to two custom DMOs.
D. Ingest the data into one DLO and then map to one custom DMO.


A. Use a data transform to consolidate the data into one DLO and them map it to the individual and Contact Point Email DMOs.


Question # 2
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. 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.
B. Marketing Cloud activations automatically suppress individuals who are unengaged and have not opened or clicked on an email in the last six months.
C. Marketing Cloud activations only activate those individuals that already exist in Marketing Cloud. They do not allow activation of new records.
D. Marketing Cloud activations apply a frequency cap and limit the number of records that can be sent in an activation.


A. 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.

Explanation: The reason for the activated count being smaller than the segment count is A. 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. A Contact Point is a data model object that represents a channel or method of communication with an individual, such as email, phone, or social media. For Marketing Cloud activations, Data Cloud requires that the individual has a related Contact Point of type Email, which contains a valid email address. If the individual does not have such a Contact Point, or if the Contact Point is missing or invalid, the individual will not be activated and will not receive the email communication. Therefore, the activated count may be lower than the segment count, depending on how many individuals in the segment have a valid email Contact Point. 
References: Salesforce Data Cloud Consultant Exam Guide, Contact Point, Marketing Cloud Activation

Question # 3
Northern Trail Outfitters unifies individuals in its Data Cloud instance. Which three features ca e consultant use to validate the data on a unified profile? Choose 3 answers
A. Identity Resolution
B. Query APL
C. Data Explorer
D. Profile Explorer
E. Data Actions


A. Identity Resolution
C. Data Explorer
D. Profile Explorer

Explanation: To validate the data on a unified profile, the consultant can use the following features:
Identity Resolution: This feature allows the consultant to view and edit the identity resolution rulesets that determine how individuals are unified from different data sources1.
Data Explorer: This feature allows the consultant to browse and filter the unified profiles and view their attributes, segments, and activities2.
Profile Explorer: This feature allows the consultant to drill down into a specific unified profile and view its details, such as source records, identity graph, calculated insights, and data actions3.

References:
1: Identity Resolution in Data Cloud 2: Data Explorer in Data Cloud
3: Profile Explorer in Data Cloud

Question # 4
Which configuration supports separate Amazon S3 buckets for data ingestion and activation?
A. Dedicated S3 data sources in Data Cloud setup
B. Multiple S3 connectors in Data Cloud setup
C. Dedicated S3 data sources in activation setup
D. Separate user credentials for data stream and activation target


A. Dedicated S3 data sources in Data Cloud setup




Explanation:

To support separate Amazon S3 buckets for data ingestion and activation, you need to configure dedicated S3 data sources in Data Cloud setup. Data sources are used to identify the origin and type of the data that you ingest into Data Cloud1. You can create different data sources for each S3 bucket that you want to use for ingestion or activation, and specify the bucket name, region, and access credentials2. This way, you can separate and organize your data by different criteria, such as brand, region, product, or business unit3. The other options are incorrect because they do not support separate S3 buckets for data ingestion and activation. Multiple S3 connectors are not a valid configuration in Data Cloud setup, as there is only one S3 connector available4. Dedicated S3 data sources in activation setup are not a valid configuration either, as activation setup does not require data sources, but activation targets5. Separate user credentials for data stream and activation target are not sufficient to support separate S3 buckets, as you also need to specify the bucket name and region for each data source2.

Question # 5
Cumulus Financial segregates its sales CRM data based on Region for its Data Cloud users. Multiple data spaces are configured: a default space and two additional spaces tailored for EMEA and APAC regions. EME A sales reps who need temporary access to visualize data for both regions say that they cannot visualize APAC data. APAC sales reps can visualize the corresponding segmented data. Which statement describes the cause of this issue?
A. The EMEA sales reps have not been assigned to the profile associated with the APAC data space.
B. The APAC data space is not associated with any permission set.
C. The APAC data space Is not associated with any profile.
D. The EMEA sales reps have not been assigned to the permission set associated with the APAC data space.


D. The EMEA sales reps have not been assigned to the permission set associated with the APAC data space.


Question # 6
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


B. Sales Order


Question # 7
A company wants to test its marketing campaigns with different target populations. What should the consultant adjust in the Segment Canvas interface to get different populations?
A. Direct attributes, related attributes, and population filters
B. Segmentation filters, direct attributions, and data sources
C. Direct attributes and related attributes
D. Population filters and direct attributes


A. Direct attributes, related attributes, and population filters

Explanation: Segmentation in Salesforce Data Cloud: 
The Segment Canvas interface is used to define and adjust target populations for marketing campaigns. 
Reference: Salesforce Segment Canvas Documentation 

Elements for Adjusting Target Populations: 

Direct Attributes: These are specific attributes directly related to the target entity (e.g., customer age, location). 
Related Attributes: These are attributes related to other entities connected to the target entity (e.g., purchase history). 
Population Filters: Filters applied to define and narrow down the segment population (e.g., active customers). 
Reference: Salesforce Segmentation Guide

Steps to Adjust Populations in Segment Canvas: 

Direct Attributes: Select attributes that directly describe the target population. 
Related Attributes: Incorporate attributes from related entities to enrich the segment criteria. 
Population Filters: Apply filters to refine and target specific subsets of the population. 
Example: To create a segment of "Active Customers Aged 25-35," use age as a direct attribute, purchase activity as a related attribute, and apply population filters for activity status and age range. 
Reference: Salesforce Segment Canvas Tutorial 

Practical Application: 
Navigate to the Segment Canvas. 
Adjust direct attributes and related attributes based on campaign goals. Apply population filters to fine-tune the target audience. 
Reference: Salesforce Marketing Cloud Segmentation Best Practices

Question # 8
How can a consultant modify attribute names to match a naming convention in Cloud File Storage targets?
A. Use a formula field to update the field name in an activation.
B. Update attribute names in the data stream configuration.
C. Set preferred attribute names when configuring activation.
D. Update field names in the data model object.


C. Set preferred attribute names when configuring activation.

Explanation: A Cloud File Storage target is a type of data action target in Data Cloud that allows sending data to a cloud storage service such as Amazon S3 or Google Cloud Storage. When configuring an activation to a Cloud File Storage target, a consultant can modify the attribute names to match a naming convention by setting preferred attribute names in Data Cloud. Preferred attribute names are aliases that can be used to control the field names in the target file. They can be set for each attribute in the activation configuration, and they will override the default field names from the data model object. The other options are incorrect because they do not affect the field names in the target file. Using a formula field to update the field name in an activation will not change the field name, but only the field value. Updating attribute names in the data stream configuration will not affect the existing data lake objects or data model objects. Updating field names in the data model object will change the field names for all data sources and activations that use the object, which may not be desirable or consistent. References: Preferred Attribute Name, Create a Data Cloud Activation Target, Cloud File Storage Target

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Salesforce Data-Cloud-Consultant Exam Dumps

Exam Name: Salesforce Certified Data Cloud Consultant (WI25)
Certification Name: Salesforce Data Cloud

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