Salesforce Salesforce Certifications DATA-CLOUD-CONSULTANT Questions & Answers

• Question 41:

  A user is not seeing suggested values from newly-modeled data when building a segment.

  What is causing this issue?

  A. Value suggestion is still processing and to be available.

  B. Value suggestion requires Data Aware Specialist permissions at a minimum.

  C. Value suggestion can only work on direct attributes and not related attributes.

  D. Value suggestion will only return result for the first 50 values of a specific attribute.

  Correct Answer: A

  Value suggestion is a feature that allows users to see suggested values for data model object (DMO) fields when creating segment filters. However, this feature can take up to 24 hours to process and display the values for newly-modeled data. Therefore, if a user is not seeing suggested values from newly-modeled data, it is likely that the value suggestion is still processing and will be available soon. The other options are incorrect because value suggestion does not require any specific permissions, can work on both direct and related attributes, and can return more than 50 values for a specific attribute, depending on the data type and frequency of the values. References: Use Value Suggestions in Segmentation, Data Cloud Limits and Guidelines

• Question 42:

  A customer needs to integrate in real time with Salesforce CRM.

  Which feature accomplishes this requirement?

  A. Streaming transforms

  B. Data model triggers

  C. Sales and Service bundle

  D. Data actions and Lightning web components

  Correct Answer: A

  The correct answer is A. Streaming transforms. Streaming transforms are a feature of Data Cloud that allows real-time data integration with Salesforce CRM. Streaming transforms use the Data Cloud Streaming API to synchronize micro-

  batches of updates between the CRM data source and Data Cloud in near-real time1. Streaming transforms enable Data Cloud to have the most current and accurate CRM data for segmentation and activation2.

  The other options are incorrect for the following reasons:

  Data model triggers. Data model triggers are a feature of Data Cloud that allows custom logic to be executed when data model objects are created, updated, or deleted3. Data model triggers do not integrate data with Salesforce CRM, but

  rather manipulate data within Data Cloud.

  Sales and Service bundle. Sales and Service bundle is a feature of Data Cloud that allows pre-built data streams, data model objects, segments, and activations for Sales Cloud and Service Cloud data sources4. Sales and Service bundle

  does not integrate data in real time with Salesforce CRM, but rather ingests data at scheduled intervals.

  Data actions and Lightning web components. Data actions and Lightning web components are features of Data Cloud that allow custom user interfaces and workflows to be built and embedded in Salesforce applications5. Data actions and

  Lightning web components do not integrate data with Salesforce CRM, but rather display and interact with data within Salesforce applications.

  References:

  1: Load Data into Data Cloud

  2: [Data Streams in Data Cloud]

  3: [Data Model Triggers in Data Cloud] unit on Trailhead

  4: [Sales and Service Bundle in Data Cloud] unit on Trailhead

  5: [Data Actions and Lightning Web Components in Data Cloud] unit on Trailhead

  [Data Model in Data Cloud] unit on Trailhead [Create a Data Model Object] article on Salesforce Help [Data Sources in Data Cloud] unit on Trailhead [Connect and Ingest Data in Data Cloud] article on Salesforce Help [Data Spaces in Data Cloud] unit on Trailhead [Create a Data Space] article on Salesforce Help [Segments in Data Cloud] unit on Trailhead [Create a Segment] article on Salesforce Help [Activations in Data Cloud] unit on Trailhead [Create an Activation] article on Salesforce Help

• Question 43:

  A Data Cloud consultant recently added a new data source and mapped some of the data to a new custom data model object (DMO) that they want to use for creating segments. However, they cannot view the newly created DMO when trying to create a new segment.

  What is the cause of this issue?

  A. Data has not yes been ingested into the DMO.

  B. The new DMO is not of category Profile.

  C. The new DMO does not have a relationship to the individual DMO

  D. Segmentation is only supported for the Individual and Unified Individual DMOs.

  Correct Answer: B

  The cause of this issue is that the new custom data model object (DMO) is not of category Profile. A category is a property of a DMO that defines its purpose and functionality in Data Cloud. There are three categories of DMOs: Profile, Event, and Other. Profile DMOs are used to store attributes of individuals or entities, such as name, email, address, etc. Event DMOs are used to store actions or interactions of individuals or entities, such as purchases, clicks, visits, etc. Other DMOs are used to store any other type of data that does not fit into the Profile or Event categories, such as products, locations, categories, etc. Only Profile DMOs can be used for creating segments in Data Cloud, as segments are based on the attributes of individuals or entities. Therefore, if the new custom DMO is not of category Profile, it will not appear in the segmentation canvas. The other options are not correct because they are not the cause of this issue. Data ingestion is not a prerequisite for creating segments, as segments can be created based on the data model schema without actual data. The new DMO does not need to have a relationship to the individual DMO, as segments can be created based on any Profile DMO, regardless of its relationship to other DMOs. Segmentation is not only supported for the Individual and Unified Individual DMOs, as segments can be created based on any Profile DMO, including custom ones. References: Create a Custom Data Model Object from an Existing Data Model Object, Create a Segment in Data Cloud, Data Model Object Category

• Question 44:

  A user has built a segment in Data Cloud and is in the process of creating an activation. When selecting related attributes, they cannot find a specific set of attributes they know to be related to the individual.

  Which statement explains why these attributes are not available?

  A. The segment is not segmenting on profile data.

  B. The attributes are being used in another activation.

  C. The desired attributes reside on different related paths.

  D. Activations can only include 1-to-1 attributes.

  Correct Answer: C

  The correct answer is C, the desired attributes reside on different related paths. When creating an activation in Data Cloud, you can select related attributes from data model objects that are linked to the segment entity. However, not all related attributes are available for every activation. The availability of related attributes depends on the container path, which is the sequence of data model objects that connects the segment entity to the related entity. For example, if you segment on the Unified Individual entity, you can select related attributes from the Order Product entity, but only if the container path is Unified Individual > Order > Order Product. If the container path is Unified Individual > Order Line Item > Order Product, then the related attributes from Order Product are not available for activation. This is because Data Cloud only supports one-to-many relationships for related attributes, and Order Line Item is a many-to-many junction object between Order and Order Product. Therefore, you need to ensure that the desired attributes reside on the same related path as the segment entity, and that the path does not include any many-to-many junction objects. The other options are incorrect because they do not explain why the related attributes are not available. The segment entity can be any data model object, not just profile data. The attributes are not restricted by being used in another activation. Activations can include one-to-many attributes, not just one-to-one attributes.

  References:

  1.

  Related Attributes in Activation

  2.

  Considerations for Selecting Related Attributes

  3.

  Salesforce Launches: Data Cloud Consultant Certification

  4.

  Create a Segment in Data Cloud

• Question 45:

  Which data model subject area should be used for any Organization, Individual, or Member in the Customer 360 data model?

  A. Engagement

  B. Membership

  C. Party

  D. Global Account

  Correct Answer: C

  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 46:

  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

  Correct Answer: ACD

  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 sources.

  Data Explorer: This feature allows the consultant to browse and filter the unified profiles and view their attributes, segments, and activities.

  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 actions.

  References:

  1: Identity Resolution in Data Cloud

  2: Data Explorer in Data Cloud

  3: Profile Explorer in Data Cloud

• Question 47:

  What should a user do to pause a segment activation with the intent of using that segment again?

  A. Deactivate the segment.

  B. Delete the segment.

  C. Skip the activation.

  D. Stop the publish schedule.

  Correct Answer: A

  The correct answer is A. Deactivate the segment. If a segment is no longer needed, it can be deactivated through Data Cloud and applies to all chosen targets. A deactivated segment no longer publishes, but it can be reactivated at any time.

  This option allows the user to pause a segment activation with the intent of using that segment again.

  The other options are incorrect for the following reasons:

  Delete the segment. This option permanently removes the segment from Data Cloud and cannot be undone. This option does not allow the user to use the segment again.

  Skip the activation. This option skips the current activation cycle for the segment, but does not affect the future activation cycles. This option does not pause the segment activation indefinitely.

  Stop the publish schedule. This option stops the segment from publishing to the chosen targets, but does not deactivate the segment4. This option does not pause the segment activation completely.

  References:

  1: Deactivated Segment article on Salesforce Help

  2: Delete a Segment article on Salesforce Help

  3: Skip an Activation article on Salesforce Help

  4: Stop a Publish Schedule article on Salesforce Help

• Question 48:

  Cumulus Financial uses calculated insights to compute the total banking value per branch for its high net worth customers. In the calculated insight, "banking value" is a metric, "branch" is a dimension, and "high net worth" is a filter.

  What can be included as an attribute in activation?

  A. "high net worth" (filter)

  B. "branch" (dimension) and "banking metric)

  C. "banking value" (metric)

  D. "branch" (dimension)

  Correct Answer: D

  According to the Salesforce Data Cloud documentation, an attribute is a dimension or a measure that can be used in activation. A dimension is a categorical variable that can be used to group or filter data, such as branch, region, or product. A measure is a numerical variable that can be used to calculate metrics, such as revenue, profit, or count. A filter is a condition that can be applied to limit the data that is used in a calculated insight, such as high net worth, age range, or gender. In this question, the calculated insight uses "banking value" as a metric, which is a measure, and "branch" as a dimension. Therefore, only "branch" can be included as an attribute in activation, since it is a dimension. The other options are either measures or filters, which are not attributes. References: Data Cloud Permission Sets, Salesforce Data Cloud Exam Questions

• Question 49:

  Northern Trail Outfitters (NTO) wants to send a promotional campaign for customers that have purchased within the past 6 months. The consultant created a segment to meet this requirement.

  Now, NTO brings an additional requirement to suppress customers who have made purchases within the last week.

  What should the consultant use to remove the recent customers?

  A. Batch transforms

  B. Segmentation exclude rules

  C. Related attributes

  D. Streaming insight

  Correct Answer: B

  The consultant should use B. Segmentation exclude rules to remove the recent customers. Segmentation exclude rules are filters that can be applied to a segment to exclude records that meet certain criteria. The consultant can use segmentation exclude rules to exclude customers who have made purchases within the last week from the segment that contains customers who have purchased within the past 6 months. This way, the segment will only include customers who are eligible for the promotional campaign.

  The other options are not correct. Option A is incorrect because batch transforms are data processing tasks that can be applied to data streams or data lake objects to modify or enrich the data. Batch transforms are not used for segmentation or activation. Option C is incorrect because related attributes are attributes that are derived from the relationships between data model objects. Related attributes are not used for excluding records from a segment. Option D is incorrect because streaming insights are derived attributes that are calculated at the time of data ingestion. Streaming insights are not used for excluding records from a segment. References: Salesforce Data Cloud Consultant uide, Segmentation, Segmentation Exclude Rules

• Question 50:

  Northern Trail Outfitters wants to implement Data Cloud and has several use cases in mind.

  Which two use cases are considered a good fit for Data Cloud? Choose 2 answers

  A. To ingest and unify data from various sources to reconcile customer identity

  B. To create and orchestrate cross-channel marketing messages

  C. To use harmonized data to more accurately understand the customer and business impact

  D. To eliminate the need for separate business intelligence and IT data management tools

  Correct Answer: AC

  Data Cloud is a data platform that can help customers connect, prepare, harmonize, unify, query, analyze, and act on their data across various Salesforce and external sources. Some of the use cases that are considered a good fit for Data

  Cloud are:

  To ingest and unify data from various sources to reconcile customer identity. Data Cloud can help customers bring all their data, whether streaming or batch, into Salesforce and map it to a common data model. Data Cloud can also help

  customers resolve identities across different channels and sources and create unified profiles of their customers.

  To use harmonized data to more accurately understand the customer and business impact. Data Cloud can help customers transform and cleanse their data before using it, and enrich it with calculated insights and related attributes. Data

  Cloud can also help customers create segments and audiences based on their data and activate them in any channel. Data Cloud can also help customers use AI to predict customer behavior and outcomes.

  The other two options are not use cases that are considered a good fit for Data Cloud. Data Cloud does not provide features to create and orchestrate cross-channel marketing messages, as this is typically handled by other Salesforce

  solutions such as Marketing Cloud. Data Cloud also does not eliminate the need for separate business intelligence and IT data management tools, as it is designed to work with them and complement their capabilities.

  References:

  1.

  Learn How Data Cloud Works

  2.

  About Salesforce Data Cloud

  3.

  Discover Use Cases for the Platform

  4.

  Understand Common Data Analysis Use Cases