Up To The Immediate Present Data-Cloud-Consultant Sample Question For Salesforce Certified Data Cloud Consultant(WI24) Certification

NEW QUESTION 1
A consultant has an activation that is set to publish every 12 hours, but has discovered that updates to the data prior to activation are delayed by up to 24 hours.
Which two areas should a consultant review to troubleshoot this issue? Choose 2 answers

• A. Review data transformations to ensure they're run after calculated insights.
• B. Review calculated insights to make sure they're run before segments are refreshed.
• C. Review segments to ensure they're refreshed after the data is ingested.
• D. Review calculated insights to make sure they're run after the segments are refreshed.

Answer: BC

Explanation:
The correct answer is B and C because calculated insights and segments are both dependent on the data ingestion process. Calculated insights are derived from the data model objects and segments are subsets of data model objects that meet certain criteria. Therefore, both of them need to be updated after the data is ingested to reflect the latest changes. Data transformations are optional steps that can be applied to the data streams before they are mapped to the data model objects, so they are not relevant to the issue. Reviewing calculated insights to make sure they’re run after the segments are refreshed (option D) is also incorrect because calculated insights are independent of segments and do not need to be refreshed after them. References: Salesforce Data Cloud Consultant Exam Guide, Data Ingestion and Modeling, Calculated Insights, Segments

NEW QUESTION 2
A customer has outlined requirements to trigger a journey for an abandoned browse behavior. Based on the requirements, the consultant determines they will use streaming insights to trigger a data action to Journey Builder every hour.
How should the consultant configure the solution to ensure the data action is triggered at the cadence required?

• A. Set the activation schedule to hourly.
• B. Configure the data to be ingested in hourly batches.
• C. Set the journey entry schedule to run every hour.
• D. Set the insights aggregation time window to 1 hour.

Answer: D

Explanation:
Streaming insights are computed from real-time engagement events and can be used to trigger data actions based on pre-set rules. Data actions are workflows that send data from Data Cloud to other systems, such as Journey Builder. To ensure that the data action is triggered every hour, the consultant should set the insights aggregation time window to 1 hour. This means that the streaming insight will evaluate the events that occurred within the last hour and execute the data action if the conditions are met. The other options are not relevant for streaming insights and data actions. References: Streaming Insights and Data Actions Limits and Behaviors, Streaming Insights, Streaming Insights and Data Actions Use Cases, Use Insights in Data Cloud, 6 Ways the Latest Marketing Cloud Release Can Boost Your Campaigns

NEW QUESTION 3
A customer has a custom Customer Email c object related to the standard Contact object in Salesforce CRM. This custom object stores the email address a Contact that they want to use for activation. To which data entity is mapped?

• A. Contact
• B. Contact Point_Email
• C. Custom customer Email c object
• D. Individual

Answer: B

Explanation:
The Contact Point_Email object is the data entity that represents an email address associated with an individual in Data Cloud. It is part of the Customer 360 Data Model, which is a standardized data model that defines common entities and relationships for customer data. The Contact Point_Email object can be mapped to any custom or standard object that stores email addresses in Salesforce CRM, such as the custom Customer Email c object. The other options are not the correct data entities to map to because:
✑ A. The Contact object is the data entity that represents a person who is associated with an account that is a customer, partner, or competitor in Salesforce CRM. It is not the data entity that represents an email address in Data Cloud.
✑ C. The custom Customer Email c object is not a data entity in Data Cloud, but a custom object in Salesforce CRM. It can be mapped to a data entity in Data Cloud, such as the Contact Point_Email object, but it is not a data entity itself.
✑ D. The Individual object is the data entity that represents a unique person in Data Cloud. It is the core entity for managing consent and privacy preferences, and it can be related to one or more contact points, such as email addresses, phone numbers, or social media handles. It is not the data entity that represents an email address in Data Cloud. References: Customer 360 Data Model: Individual and Contact Points - Salesforce, Contact Point_Email | Object Reference for the Salesforce Platform | Salesforce Developers, [Contact | Object Reference for the Salesforce Platform | Salesforce Developers], [Individual | Object Reference for the Salesforce Platform | Salesforce Developers]

NEW 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

Answer: A

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. References: Data Sources Overview, Amazon S3 Storage Connector, Data Spaces Overview, Data Streams Overview, Data Activation Overview

NEW QUESTION 5
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.

Answer: A

Explanation:
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

NEW QUESTION 6
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.

Answer: A

Explanation:
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 time1. 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:
✑ B. Delete the segment. This option permanently removes the segment from Data Cloud and cannot be undone2. This option does not allow the user to use the segment again.
✑ C. Skip the activation. This option skips the current activation cycle for the segment, but does not affect the future activation cycles3. This option does not pause the segment activation indefinitely.
✑ D. 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

NEW QUESTION 7
Every day, Northern Trail Outfitters uploads a summary of the last 24 hours of store transactions to a new file in an Amazon S3 bucket, and files older than seven days are automatically deleted. Each file contains a timestamp in a standardized naming convention.
Which two options should a consultant configure when ingesting this data stream? Choose 2 answers

• A. Ensure that deletion of old files is enabled.
• B. Ensure the refresh mode is set to "Upsert".
• C. Ensure the filename contains a wildcard to a accommodate the timestamp.
• D. Ensure the refresh mode is set to "Full Refresh.’’

Answer: BC

Explanation:
When ingesting data from an Amazon S3 bucket, the consultant should configure the following options:
✑ The refresh mode should be set to “Upsert”, which means that new and updated records will be added or updated in Data Cloud, while existing records will be preserved. This ensures that the data is always up to date and consistent with the source.
✑ The filename should contain a wildcard to accommodate the timestamp, which means that the file name pattern should include a variable part that matches the timestamp format. For example, if the file name is store_transactions_2023-12- 18.csv, the wildcard could be store_transactions_*.csv. This ensures that the ingestion process can identify and process the correct file every day.
The other options are not necessary or relevant for this scenario:
✑ Deletion of old files is a feature of the Amazon S3 bucket, not the Data Cloud ingestion process. Data Cloud does not delete any files from the source, nor does it require the source files to be deleted after ingestion.
✑ Full Refresh is a refresh mode that deletes all existing records in Data Cloud and replaces them with the records from the source file. This is not suitable for this scenario, as it would result in data loss and inconsistency, especially if the source file only contains the summary of the last 24 hours of transactions. References: Ingest Data from Amazon S3, Refresh Modes

NEW QUESTION 8
Which two requirements must be met for a calculated insight to appear in the segmentation canvas?
Choose 2 answers

• A. The metrics of the calculated insights must only contain numeric values.
• B. The primary key of the segmented table must be a metric in the calculated insight.
• C. The calculated insight must contain a dimension including the Individual or Unified Individual Id.
• D. The primary key of the segmented table must be a dimension in the calculated insight.

Answer: CD

Explanation:
A calculated insight is a custom metric or measure that is derived from one or more data model objects or data lake objects in Data Cloud. A calculated insight can be used in segmentation to filter or group the data based on the calculated value. However, not all calculated insights can appear in the segmentation canvas. There are two requirements that must be met for a calculated insight to appear in the segmentation canvas:
✑ The calculated insight must contain a dimension including the Individual or Unified Individual Id. A dimension is a field that can be used to categorize or group the data, such as name, gender, or location. The Individual or Unified Individual Id is a unique identifier for each individual profile in Data Cloud. The calculated insight must include this dimension to link the calculated value to the individual profile and to enable segmentation based on the individual profile attributes.
✑ The primary key of the segmented table must be a dimension in the calculated insight. The primary key is a field that uniquely identifies each record in a table. The segmented table is the table that contains the data that is being segmented, such as the Customer or the Order table. The calculated insight must include the primary key of the segmented table as a dimension to ensure that the calculated value is associated with the correct record in the segmented table and to avoid duplication or inconsistency in the segmentation results.
References: Create a Calculated Insight, Use Insights in Data Cloud, Segmentation

NEW QUESTION 9
Cumulus Financial wants to be able to track the daily transaction volume of each of its customers in real time and send out a notification as soon as it detects volume outside a customer's normal range.
What should a consultant do to accommodate this request?

• A. Use a calculated insight paired with a flow.
• B. Use streaming data transform with a flow.
• C. Use a streaming insight paired with a data action
• D. Use streaming data transform combined with a data action.

Answer: C

Explanation:
A streaming insight is a type of insight that analyzes streaming data in real time and triggers actions based on predefined conditions. A data action is a type of action that executes a flow, a data action target, or a data action script when an insight is triggered. By using a streaming insight paired with a data action, a consultant can accommodate Cumulus Financial’s request to track the daily transaction volume of each customer and send out a notification when the volume is outside the normal range. A calculated insight is a type of insight that performs calculations on data in a data space and stores the results in a data extension. A streaming data transform is a type of data transform that applies transformations to streaming data in real time and stores the results in a data extension. A flow is a type of automation that executes a series of actions when triggered by an event, a schedule, or another flow. None of these options can achieve the same functionality as a streaming insight paired with a data action. References: Use Insights in Data Cloud Unit, Streaming Insights and Data Actions Use Cases, Streaming Insights and Data Actions Limits and Behaviors

NEW QUESTION 10
A customer wants to create segments of users based on their Customer Lifetime Value.
However, the source data that will be brought into Data Cloud does not include that key performance
indicator (KPI).
Which sequence of steps should the consultant follow to achieve this requirement?

• A. Ingest Data > Map Data to Data Model > Create Calculated Insight > Use in Segmentation
• B. Create Calculated Insight > Map Data to Data Model> Ingest Data > Use in Segmentation
• C. Create Calculated Insight > Ingest Data > Map Data to Data Model> Use in Segmentation
• D. Ingest Data > Create Calculated Insight > Map Data to Data Model > Use in Segmentation

Answer: A

Explanation:
To create segments of users based on their Customer Lifetime Value (CLV), the sequence of steps that the consultant should follow is Ingest Data > Map Data to Data Model > Create Calculated Insight > Use in Segmentation. This is because the first step is to ingest the source data into Data Cloud using data streams1. The second step is to map the source data to the data model, which defines the structure and attributes of the data2. The third step is to create a calculated insight, which is a derived attribute that is computed based on the source or unified data3. In this case, the calculated insight would be the CLV, which can be calculated using a formula or a query based on the sales order data4. The fourth step is to use the calculated insight in segmentation, which is the process of creating groups of individuals or entities based on their attributes and behaviors. By using the CLV calculated insight, the consultant can segment the users by their predicted revenue from the lifespan of their relationship with the brand. The other options are incorrect because they do not follow the correct sequence of steps to achieve the requirement. Option B is incorrect because it is not possible to create a calculated insight before ingesting and mapping the data, as the calculated insight depends on the data model objects3. Option C is incorrect because it is not possible to create a calculated insight before mapping the data, as the calculated insight depends on the data model objects3. Option D is incorrect because it is not recommended to create a calculated insight before mapping the data, as the calculated insight may not reflect the correct data
model structure and attributes3. References: Data Streams Overview, Data Model Objects Overview, Calculated Insights Overview, Calculating Customer Lifetime Value (CLV) With Salesforce, [Segmentation Overview]

NEW QUESTION 11
Cumulus Financial wants its service agents to view a display of all cases associated with a Unified Individual on a contact record.
Which two features should a consultant consider for this use case? Choose 2 answers

• A. Data Action
• B. Profile API
• C. Lightning Web Components
• D. Query APL

Answer: BC

Explanation:
A Unified Individual is a profile that combines data from multiple sources using identity resolution rules in Data Cloud. A Unified Individual can have multiple contact points, such as email, phone, or address, that link to different systems and records. A consultant can use the following features to display all cases associated with a Unified Individual on a contact record:
✑ Profile API: This is a REST API that allows you to retrieve and update Unified Individual profiles and related attributes in Data Cloud. You can use the Profile API to query the cases that are related to a Unified Individual by using the contact point ID or the unified ID as a filter. You can also use the Profile API to update the Unified Individual profile with new or modified case information from other systems.
✑ Lightning Web Components: These are custom HTML elements that you can use to create reusable UI components for your Salesforce apps. You can use Lightning Web Components to create a custom component that displays the cases related to a Unified Individual on a contact record. You can use the Profile API to fetch the data from Data Cloud and display it in a table, list, or chart format. You can also use Lightning Web Components to enable actions, such as creating, editing, or deleting cases, from the contact record.
The other two options are not relevant for this use case. A Data Action is a type of action that executes a flow, a data action target, or a data action script when an insight is triggered. A Data Action is used for activation and personalization, not for displaying data on a contact record. A Query APL is a query language that allows you to access and manipulate data in Data Cloud. A Query APL is used for data exploration and analysis, not for displaying data on a contact record. References: Profile API Developer Guide, Lightning Web Components Developer Guide, Create Unified Individual Profiles Unit

NEW QUESTION 12
Cloud Kicks received a Request to be Forgotten by a customer.
In which two ways should a consultant use Data Cloud to honor this request? Choose 2 answers

• A. Delete the data from the incoming data stream and perform a full refresh.
• B. Add the Individual ID to a headerless file and use the delete from file functionality.
• C. Use Data Explorer to locate and manually remove the Individual.
• D. Use the Consent API to suppress processing and delete the Individual and related records fromsource data streams.

Answer: BD

Explanation:
To honor a Request to be Forgotten by a customer, a consultant should use Data Cloud in two ways:
✑ Add the Individual ID to a headerless file and use the delete from file functionality. This option allows the consultant to delete multiple Individuals from Data Cloud by uploading a CSV file with their IDs1. The deletion process is asynchronous and can take up to 24 hours to complete1.
✑ Use the Consent API to suppress processing and delete the Individual and related records from source data streams. This option allows the consultant to submit a Data Deletion request for an Individual profile in Data Cloud using the Consent API2. A Data Deletion request deletes the specified Individual entity and any entities where a relationship has been defined between that entity’s identifying attribute and the Individual ID attribute2. The deletion process is reprocessed at 30, 60, and 90 days to ensure a full deletion2. The other options are not correct because:
✑ Deleting the data from the incoming data stream and performing a full refresh will not delete the existing data in Data Cloud, only the new data from the source system3.
✑ Using Data Explorer to locate and manually remove the Individual will not delete the related records from the source data streams, only the Individual entity in Data Cloud. References:
✑ Delete Individuals from Data Cloud
✑ Requesting Data Deletion or Right to Be Forgotten
✑ Data Refresh for Data Cloud
✑ [Data Explorer]

NEW QUESTION 13
Which data model subject area defines the revenue or quantity for an opportunity by product family?

• A. Engagement
• B. Product
• C. Party
• D. Sales Order

Answer: D

Explanation:
The Sales Order subject area defines the details of an order placed by a customer for one or more products or services. It includes information such as the order date, status, amount, quantity, currency, payment method, and delivery method. The Sales Order subject area also allows you to track the revenue or quantity for an opportunity by product family, which is a grouping of products that share common characteristics or features. For example, you can use the Sales Order Line Item DMO to associate each product in an order with its product family, and then use the Sales Order Revenue DMO to calculate the total revenue or quantity for each product family in an opportunity. References: Sales Order Subject Area, Sales Order Revenue DMO Reference

NEW QUESTION 14
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. Marketing Cloud activations apply a frequency cap and limit the number of records that can be sent in an activation.
• B. Data Cloud enforces the presence of Contact Point for Marketing Cloud activation
• C. If the individual does not have a related Contact Point, it will not be activated.
• D. Marketing Cloud activations automatically suppress individuals who are unengaged and have not opened or clicked on an email in the last six months.
• E. Marketing Cloud activations only activate those individuals that already exist in Marketing Cloud.They do not allow activation of new records.

Answer: B

Explanation:
Data Cloud requires a Contact Point for Marketing Cloud activations, which is
a record that links an individual to an email address. This ensures that the individual has given consent to receive email communications and that the email address is valid. If the individual does not have a related Contact Point, they will not be activated in Marketing Cloud. This may result in a lower activated count than the segment count. References: Data Cloud Activation, Contact Point for Marketing Cloud

NEW QUESTION 15
What is Data Cloud's primary value to customers?

• A. To provide a unified view of a customer and their related data
• B. To connect all systems with a golden record
• C. To create a single source of truth for all anonymous data
• D. To create personalized campaigns by listening, understanding, and acting on customer behavior

Answer: A

Explanation:
Data Cloud is a platform that enables you to activate all your customer data across Salesforce applications and other systems. Data Cloud allows you to create a unified profile of each customer by ingesting, transforming, and linking data from various sources, such as CRM, marketing, commerce, service, and external data providers. Data Cloud also provides insights and analytics on customer behavior, preferences, and needs, as well as tools to segment, target, and personalize customer interactions. Data Cloud’s primary value to customers is to provide a unified view of a customer and their related data, which can help you deliver better customer experiences, increase loyalty, and drive growth. References: Salesforce Data Cloud, When Data Creates Competitive Advantage

NEW QUESTION 16
Cumulus Financial wants to segregate Salesforce CRM Account data based on Country for its Data Cloud users.
What should the consultant do to accomplish this?

• A. Use streaming transforms to filter out Account data based on Country and map to separate data model objects accordingly.
• B. Use the data spaces feature and applying filtering on the Account data lake object based on Country.
• C. Use Salesforce sharing rules on the Account object to filter and segregate records based on Country.
• D. Use formula fields based on the account Country field to filter incoming records.

Answer: B

Explanation:
Data spaces are a feature that allows Data Cloud users to create subsets of data based on filters and permissions. Data spaces can be used to segregate data based on different criteria, such as geography, business unit, or product line. In this case, the consultant can use the data spaces feature and apply filtering on the Account data lake object based on Country. This way, the Data Cloud users can access only the Account data that belongs to their respective countries. References: Data Spaces, Create a Data Space

NEW QUESTION 17
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 12 months of historical data.
• B. The B2C Commerce Order Bundle ingests 6 months of historical data.
• C. The B2C Commerce Order Bundle does not ingest any historical data and only ingests new orders from that point on.
• D. The B2C Commerce Order Bundle ingests 30 days of historical data.

Answer: C

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 18
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