Question # 1 Cumulus Financial needs to create a composite key on an incoming data source that combines the fields Customer Region and Customer Identifier.
Which formula function should a consultant use to create a composite key when a primary key is not available in a data stream? A. CONCATB. COMBINC. COALED. CAST
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A. CONCAT
Answer Description Explanation: Composite Keys in Data Streams: When working with data streams in Salesforce Data Cloud, there may be situations where a primary key is not available. In such cases, creating a composite key from multiple fields ensures unique identification of records.
Formula Functions: Salesforce provides several formula functions to manipulate and combine data fields. Among them, the CONCAT function is used to combine multiple strings into one.
Creating Composite Keys: To create a composite key using CONCAT, a consultant can combine the values of Customer Region and Customer Identifier into a single unique identifier.
Example Formula: CONCAT(Customer_Region, Customer_Identifier) References:
Salesforce Documentation: Formula Functions Salesforce Data Cloud Guide
Question # 2 Cumulus Financial uses Data Cloud to segment banking customers and activate them for direct mail via a Cloud File Storage
activation. The company also wants to analyze individuals who have been in the segment within the last 2 years.
Which Data Cloud component allows for this? A. Nested segmentsB. Segment exclusionC. Calculated insightsD. Segment membership data model object
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D. Segment membership data model object
Answer Description Explanation: The segment membership data model object is a Data Cloud component that allows for analyzing individuals who have been in a segment within a certain time period. The segment membership data model object is a table that stores the information about which individuals belong to which segments and when they were added or removed from the segments. This object can be used to create calculated insights, such as segment size, segment duration, segment overlap, or segment retention, that can help measure the effectiveness of segmentation and activation strategies. The segment membership data model object can also be used to create nested segments or segment exclusions based on the segment membership criteria, such as segment name, segment type, or segment date range. The other options are not correct because they are not Data Cloud components that allow for analyzing individuals who have been in a segment within the last 2 years. Nested segments and segment exclusions are features that allow for creating more complex segments based on existing segments, but they do not provide the historical data about segment membership. Calculated insights are custom metrics or measures that are derived from data model objects or data lake objects, but they do not store the segment membership information by themselves. References: Segment Membership Data Model Object, Create a Calculated Insight, Create a Nested Segment
Question # 3 Data Cloud receives a nightly file of all ecommerce transactions from the previous day.
Several segments and activations depend upon calculated insights from the updated data in order to maintain accuracy in the customer's scheduled campaign messages.
What should the consultant do to ensure the ecommerce data is ready for use for each of the
scheduled activations? A. Use Flow to trigger a change data event on the ecommerce data to refresh calculated insightsand segments before the activations are scheduled to run.B. Set a refresh schedule for the calculated insights to occur every hour.C. Ensure the activations are set to Incremental Activation and automatically publish every hour.D. Ensure the segments are set to Rapid Publish and set to refresh every hour.
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A. Use Flow to trigger a change data event on the ecommerce data to refresh calculated insightsand segments before the activations are scheduled to run.
Answer Description Explanation: The best option that the consultant should do to ensure the ecommerce data is ready for use for each of the scheduled activations is A. Use Flow to trigger a change data event on the ecommerce data to refresh calculated insights and segments before the activations are scheduled to run. This option allows the consultant to use the Flow feature of Data Cloud, which enables automation and orchestration of data processing tasks based on events or schedules. Flow can be used to trigger a change data event on the ecommerce data, which is a type of event that indicates that the data has been updated or changed. This event can then trigger the refresh of the calculated insights and segments that depend on the ecommerce data, ensuring that they reflect the latest data. The refresh of the calculated insights and segments can be completed before the activations are scheduled to run, ensuring that the customer’s scheduled campaign messages are accurate and relevant.
The other options are not as good as option A. Option B is incorrect because setting a refresh schedule for the calculated insights to occur every hour may not be sufficient or efficient. The refresh schedule may not align with the activation schedule, resulting in outdated or inconsistent data. The refresh schedule may also consume more resources and time than necessary, as the ecommerce data may not change every hour. Option C is incorrect because ensuring the activations are set to Incremental Activation and automatically publish every hour may not solve the problem. Incremental Activation is a feature that allows only the new or changed records in a segment to be activated, reducing the activation time and size. However, this feature does not ensure that the segment data is updated or refreshed based on the ecommerce data. The activation schedule may also not match the ecommerce data update schedule, resulting in inaccurate or irrelevant campaign messages. Option D is incorrect because ensuring the segments are set to Rapid Publish and set to refresh every hour may not be optimal or effective. Rapid Publish is a feature that allows segments to be published faster by skipping some validation steps, such as checking for duplicate records or invalid values. However, this feature may compromise the quality or accuracy of the segment data, and may not be suitable for all use cases. The refresh schedule may also have the same issues as option B, as it may not sync with the ecommerce data update schedule or the activation schedule, resulting in outdated or inconsistent data. References: Salesforce Data Cloud Consultant Exam Guide, Flow, Change Data Events, Calculated Insights, Segments, [Activation]
Question # 4 Which configuration supports separate Amazon S3 buckets for data ingestion and activation? A. Dedicated S3 data sources in Data Cloud setupB. Multiple S3 connectors in Data Cloud setupC. Dedicated S3 data sources in activation setupD. Separate user credentials for data stream and activation target
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A. Dedicated S3 data sources in Data Cloud setup
Answer Description
Explanation:
Question # 5 Which data model subject area should be used for any Organization, Individual, or Member in the Customer 360 data model? A. EngagementB. MembershipC. PartyD. Global Account
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C. Party
Answer Description Explanation: The data model subject area that should be used for any Organization, Individual, or Member in the Customer 360 data model is the Party subject area. The Party subject area defines the entities that are involved in any business transaction or relationship, such as customers, prospects, partners, suppliers, etc. The Party subject area contains the following data model objects (DMOs):
Organization: A DMO that represents a legal entity or a business unit, such as a company, a department, a branch, etc.
Individual: A DMO that represents a person, such as a customer, a contact, a user, etc.
Member: A DMO that represents the relationship between an individual and an organization, such as an employee, a customer, a partner, etc.
The other options are not data model subject areas that should be used for any Organization, Individual, or Member in the Customer 360 data model. The Engagement subject area defines the actions that people take, such as clicks, views, purchases, etc. The Membership subject area defines the associations that people have with groups, such as loyalty programs, clubs, communities, etc. The Global Account subject area defines the hierarchical relationships between organizations, such as parent-child, subsidiary, etc.
References:
Data Model Subject Areas Party Subject Area Customer 360 Data Model
Question # 6 A consultant needs to package Data Cloud components from one organization to another. Which two Data Cloud components should the consultant include in a data kit to achieve this goal? A. Data model objectsB. SegmentsC. Calculated insightsD. Identity resolution rulesets
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A. Data model objectsD. Identity resolution rulesets
Answer Description Explanation:
Data model objects: These are the custom objects that define the data model for Data Cloud, such as Individual, Segment, Activity, etc. They store the data ingested from various sources and enable the creation of unified profiles and segments1.
Identity resolution rule sets: These are the rules that determine how data from different sources are matched and merged to create unified profiles. They specify the criteria, logic, and priority for identity resolution.
Question # 7 Cumulus Financial created a segment called Multiple Investments that contains individuals who have invested in two or more mutual funds.
The company plans to send an email to this segment regarding a new mutual fund offering, and wants to personalize the email content with information about each customer's current mutual fund investments.
How should the Data Cloud consultant configure this activation? A. Include Fund Type equal to "Mutual Fund" as a related attribute. Configure an activation based on the new segment with no additional attributes.B. Choose the Multiple Investments segment, choose the Email contact point, add related attribute Fund Name, and add related attribute filter for Fund Type equal to "Mutual Fund".C. Choose the Multiple Investments segment, choose the Email contact point, and add related
attribute Fund Type.D. Include Fund Name and Fund Type by default for post processing in the target system.
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B. Choose the Multiple Investments segment, choose the Email contact point, add related attribute Fund Name, and add related attribute filter for Fund Type equal to "Mutual Fund".
Answer Description Explanation: To personalize the email content with information about each customer’s current mutual fund investments, the Data Cloud consultant needs to add related attributes to the activation. Related attributes are additional data fields that can be sent along with the segment to the target system for personalization or analysis purposes. In this case, the consultant needs to add the Fund Name attribute, which contains the name of the mutual fund that the customer has invested in, and apply a filter for Fund Type equal to “Mutual Fund” to ensure that only relevant data is sent. The other options are not correct because: A. Including Fund Type equal to “Mutual Fund” as a related attribute is not enough
to personalize the email content. The consultant also needs to include the Fund Name attribute, which contains the specific name of the mutual fund that the customer has invested in.
C. Adding related attribute Fund Type is not enough to personalize the email content. The consultant also needs to add the Fund Name attribute, which contains the specific name of the mutual fund that the customer has invested in, and apply a filter for Fund Type equal to “Mutual Fund” to ensure that only relevant data is sent.
D. Including Fund Name and Fund Type by default for post processing in the target system is not a valid option. The consultant needs to add the related attributes and filters during the activation configuration in Data Cloud, not after the data is sent to the target system. References: Add Related Attributes to an Activation - Salesforce, Related Attributes in Activation - Salesforce, Prepare for Your Salesforce Data Cloud Consultant Credential
Question # 8 Northern Trail Outfitters wants to be able to calculate each customer's lifetime value (LTV) but also create breakdowns of the revenue sourced by website, mobile app, and retail channels. How should this use case be addressed in Data Cloud? A. Nested segmentsB. Flow orchestrationC. Streaming data transformationsD. Metrics on metrics
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C. Streaming data transformations
Answer Description Explanation:
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