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Salesforce Certified Data Cloud Consultant Sample Questions (Q33-Q38):

NEW QUESTION # 33
A global fashion retailer operates online sales platforms across AMFR, FMFA, and APAC. the data formats for customer, order, and product Information vary by region, and compliance regulations require data to remain unchanged in the original data sources They also require a unified view of customer profiles for real-time personalization and analytics.
Given these requirement, which transformation approach should the company implement to standardise and cleanse incoming data streams?

A. Use Apex to transform and cleanse data.
B. Transform data before ingesting into Data Cloud.
C. Implement batch data transformations.
D. Implement streaming data transformations.

Answer: D

NEW QUESTION # 34
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.

Answer: A

NEW QUESTION # 35
A customer is concerned that the consolidation rate displayed in the identity resolution is quite low compared to their initial estimations.
Which configuration change should a consultant consider in order to increase the consolidation rate?

A. Change reconciliation rules to Most Occurring.
B. Include additional attributes in the existing matching rules.
C. Increase the number of matching rules.
D. Reduce the number of matching rules.

Answer: C

Explanation:
The consolidation rate is the amount by which source profiles are combined to produce unified profiles, calculated as 1 - (number of unified individuals / number of source individuals). For example, if you ingest 100 source records and create 80 unified profiles, your consolidation rate is 20%. To increase the consolidation rate, you need to increase the number of matches between source profiles, which can be done by adding more match rules. Match rules define the criteria for matching source profiles based on their attributes. By increasing the number of match rules, you can increase the chances of finding matches between source profiles and thus increase the consolidation rate. On the other hand, changing reconciliation rules, including additional attributes, or reducing the number of match rules can decrease the consolidation rate, as they can either reduce the number of matches or increase the number of unified profiles. Reference: Identity Resolution Calculated Insight: Consolidation Rates for Unified Profiles, Identity Resolution Ruleset Processing Results, Configure Identity Resolution Rulesets

NEW QUESTION # 36
Northern Trail Outfitters uses B2C Commerce and is exploring implementing Data Cloud to get a unified view of its customers and all their order transactions.
What should the consultant keep in mind with regard to historical data ingesting order data using the B2C Commerce Order Bundle?

A. The B2C Commerce Order Bundle ingests 6 months of historical data.
B. The B2C Commerce Order Bundle does not ingest any historical data and only ingests new orders from that point on.
C. The B2C Commerce Order Bundle ingests 30 days of historical data.
D. The B2C Commerce Order Bundle ingests 12 months of historical data.

Answer: B

Explanation:
The B2C Commerce Order Bundle is a data bundle that creates a data stream to flow order data from a B2C Commerce instance to Data Cloud. However, this data bundle does not ingest any historical data and only ingests new orders from the time the data stream is created. Therefore, if a consultant wants to ingest historical order data, they need to use a different method, such as exporting the data from B2C Commerce and importing it to Data Cloud using a CSV file12. References:
* Create a B2C Commerce Data Bundle
* Data Access and Export for B2C Commerce and Commerce Marketplace

NEW QUESTION # 37
A consultant is building a segment to announce a new product launch for customers that have previously purchased black pants.
How should the consultant place attributes for product color and product type from the Order Product object to meet this criteria?

A. Place the attribute for product color in one container and the attribute for product type in another container.
B. Place an attribute for the "black" calculated insight to dynamically apply
C. Place the attributes for product color and product type in a single container.
D. Place the attributes for product and product type as direct attributes.

Answer: C

Explanation:
To create a segment based on the product color and product type from the Order Product object, the consultant should place the attributes for product color and product type in a single container. This way, the segment will include only the customers who have purchased black pants, and not those who have purchased black shirts or blue pants. A container is a grouping of attributes that defines a segment of individuals based on a logical AND operation. Placing the attributes in separate containers would result in a segment that includes customers who have purchased any black product or any pants product, which is not the desired criteria. Placing an attribute for the "black" calculated insight would not work, because calculated insights are based on aggregated data and not individual-level data. Placing the attributes as direct attributes would not work, because direct attributes are used to filter individuals based on their profile data, not their order data. Reference:
Create a Segment in Data Cloud
Learn About Segmentation Tools
Salesforce Launches: Data Cloud Consultant Certification

NEW QUESTION # 38
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