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
| 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 and also purchased at least one pair of ‘shoes’ | | B. Individuals who purchased at least one 'red shoes' as a single line item in a purchase | | C. Individuals who made a purchase of at least one 'red shoes’ and nothing else | | D. Individuals who purchased at least one of any 'red' product or purchased at least one pair of 'shoes' |
A. Individuals who purchased at least one of any red’ product and also purchased at least one pair of ‘shoes’
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. References:
Create a Container for Segmentation Create a Segment in Data Cloud Navigate Data Cloud Segmentation
Question # 3
If a data source does not have a field that can be designated as a primary key, what should the consultant do?
| | A. Use the default primary key recommended by Data Cloud. | | B. Create a composite key by combining two or more source fields through a formula field. | | C. Select a field as a primary key and then add a key qualifier. | | D. Remove duplicates from the data source and then select a primary key. |
B. Create a composite key by combining two or more source fields through a formula field.
Explanation:
• Understanding Primary Keys in Salesforce Data Cloud:
A primary key is a unique identifier for records in a data source. It ensures that each record can be uniquely identified and accessed.
[Reference: Salesforce Primary Key Documentation,
• Challenges with Missing Primary Keys:, Some data sources may lack a natural primary key, making it difficult to uniquely identify records.,
Reference: Salesforce Data Integration Guide,
• Solution: Creating a Composite Key:,
Composite Key Definition: A composite key is created by combining two or more fields to generate a unique identifier.,
Formula Fields: Using a formula field, different fields can be concatenated to create a unique composite key.,
Example: If "Email" and "Phone Number" together uniquely identify a record, a formula field can concatenate these values to form a composite key.,
Reference: Salesforce Composite Key Creation Guide,
• Steps to Create a Composite Key:, Identify fields that, when combined, can uniquely identify each record., Create a formula field that concatenates these fields.,
Use this composite key as the primary key for the data source in Data Cloud., Reference: Salesforce Formula Field Documentation, ]
Question # 4
| Which information is provided in a .csv file when activating to Amazon S3? | | A. An audit log showing the user who activated the segment and when it was activated | | B. The activated data payload | | C. The metadata regarding the segment definition | | D. The manifest of origin sources within Data Cloud |
B. The activated data payload
Explanation:
When activating to Amazon S3, the information that is provided in a .csv file is the activated data payload. The activated data payload is the data that is sent from Data Cloud to the activation target, which in this case is an Amazon S3 bucket1. The activated data payload contains the attributes and values of the individuals or entities that are included in the segment that is being activated2. The activated data payload can be used for various purposes, such as marketing, sales, service, or analytics3. The other options are incorrect because they are not provided in a .csv file when activating to Amazon S3. Option A is incorrect because an audit log is not provided in a .csv file, but it can be viewed in the Data Cloud UI under the Activation History tab4. Option C is incorrect because the metadata regarding the segment definition is not provided in a .csv file, but it can be viewed in the Data Cloud UI under the Segmentation tab5. Option D is incorrect because the manifest of origin sources within Data Cloud is not provided in a .csv file, but it can be viewed in the Data Cloud UI under the Data Sources tab.
References:
Data Activation Overview, Create and Activate Segments in Data Cloud, Data Activation Use Cases, View Activation History, Segmentation Overview, [Data Sources Overview]
Question # 5
| What does it mean to build a trust-based, first-party data asset? | | A. To provide transparency and security for data gathered from individuals who provide consent for its use and receive value in exchange | | B. To provide trusted, first-party data in the Data Cloud Marketplace that follows all compliance regulations | | C. To ensure opt-in consents are collected for all email marketing as required by law | | D. To obtain competitive data from reliable sources through interviews, surveys, and polls |
A. To provide transparency and security for data gathered from individuals who provide consent for its use and receive value in exchange
Explanation: Building a trust-based, first-party data asset means collecting, managing, and activating data from your own customers and prospects in a way that respects their privacy and preferences. It also means providing them with clear and honest information about how you use their data, what benefits they can expect from sharing their data, and how they can control their data. By doing so, you can create a mutually beneficial relationship with your customers, where they trust you to use their data responsibly and ethically, and you can deliver more relevant and personalized experiences to them. A trust- based, first-party data asset can help you improve customer loyalty, retention, and growth, as well as comply with data protection regulations and standards. References: Use first- party data for a powerful digital experience, Why first-party data is the key to data privacy, Build a first-party data strategy
Question # 6
| A consultant is setting up Data Cloud for a multi-brand organization and is using data
spaces to segregate its data for various brands.
While starting the mapping of a data stream, the consultant notices that they cannot map
the object for one of the brands. What should the consultant do to make the object available for a new data space? | | A. Create a new data stream and map the second data stream to the data space. | | B. Copy data from the default data space to a new DMO using the Data Copy feature and
link this DMO to the new data space. | | C. Create a batch transform to split data between different data spaces. | | D. Navigate to the Data Space tab and select the object to be included in the new data
space. |
D. Navigate to the Data Space tab and select the object to be included in the new data
space.
Question # 7
The Salesforce CRM Connector is configured and the Case object data stream is set up. Subsequently, a new custom field named Business Priority is created on the Case object in Salesforce CRM. However, the new field is not available when trying to add it to the data stream.
Which statement addresses the cause of this issue?
| | A. The Salesforce Integration User Is missing Rad permissions on the newly created field. | | B. The Salesforce Data Loader application should be used to perform a bulk upload from a desktop. | | C. Custom fields on the Case object are not supported for ingesting into Data Cloud. | | D. After 24 hours when the data stream refreshes it will automatically include any new fields that were added to the Salesforce CRM. |
A. The Salesforce Integration User Is missing Rad permissions on the newly created field.
The Salesforce CRM Connector uses the Salesforce Integration User to access the data from the Salesforce CRM org. The Integration User must have the Read permission on the fields that are included in the data stream. If the Integration User does not have the Read permission on the newly created field, the field will not be available for selection in the data stream configuration. To resolve this issue, the administrator should assign the Read permission on the new field to the Integration User profile or permission set. References: Create a Salesforce CRM Data Stream, Edit a Data Stream, Salesforce Data Cloud Full Refresh for CRM, SFMC, or Ingestion API Data Streams
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Ideal for professionals with two or more years of experience in data strategy, data modeling, and Salesforce solutions across various clouds.
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The exam comprises 60 multiple-choice/multiple-select questions, to be completed in 105 minutes, with a passing score of 62%.
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