Updated Mar-2026 100% Cover Real Salesforce-Data-Cloud Exam Questions - 100% Pass Guarantee
Use Real Salesforce Dumps - 100% Free Salesforce-Data-Cloud Exam Dumps
NEW QUESTION # 87
A consultant is helping a beauty company ingest its profile data into Data Cloud. The company's source data includes several fields, such as eye color, skin type, and hair color, that are not fields in the standard Individual data model object (DMO).
What should the consultant recommend to map this data to be used for both segmentation and identity resolution?
- A. Create a custom DMO with only the additional fields and map it to the standard Individual DMO.
- B. Create a custom DMO from scratch that has all fields that are needed.
- C. Create custom fields on the standard Individual DMO.
- D. Duplicate the standard Individual DMO and add the additional fields.
Answer: C
Explanation:
The best option to map the data to be used for both segmentation and identity resolution is to create custom fields on the standard Individual DMO. This way, the consultant can leverage the existing fields and functionality of the Individual DMO, such as identity resolution rulesets, calculated insights, and data actions, while adding the additional fields that are specific to the beauty company's data1. Creating a custom DMO from scratch or duplicating the standard Individual DMO would require more effort and maintenance, and might not be compatible with the existing features of Data Cloud. Creating a custom DMO with only the additional fields and mapping it to the standard Individual DMO would create unnecessary complexity and redundancy, and might not allow the use of the custom fields for identity resolution. References:
1: Data Model Objects in Data Cloud
NEW QUESTION # 88
Cumulus Financial wants to be able to track the daily transaction volume for of each of its customers in real time and send out a notification as soon it detects volume outside a customer's normal range. How should an administrator accommodate this request?
- A. Use Streaming Data Transformations combined with a Data Action
- B. Use Streaming Data Transformations with a Flow
- C. Use a Calculated Insight paired with a Flow
- D. Use a Streaming Insight paired with a Data Action
Answer: D
Explanation:
To track the daily transaction volume for each customer in real time and send out a notification as soon as it detects volume outside a customer's normal range, the administrator should use a Streaming Insight paired with a Data Action. A Streaming Insight is a metric that is calculated on streaming data as it is ingested into Data Cloud, allowing near-real-time analysis of customer behavior. A Data Action is an action that is triggered by a Streaming Insight, such as sending an email, updating a record, or calling an API. By using these features, the administrator can monitor and respond to customer transactions in real time.
NEW QUESTION # 89
Which data model subject area defines the revenue or quantity for an opportunity by product family?
- A. Sales Order
- B. Engagement
- C. Party
- D. Product
Answer: A
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 # 90
Which two dependencies need to be removed prior to disconnecting a data source?
- A. Data Stream
- B. Activation
- C. Segment
- D. Activation Target
Answer: A,C
Explanation:
These are the two dependencies that need to be removed prior to disconnecting a data source. A data stream is a process that ingests data from a data source into Data Cloud. A segment is a group of customers that meet certain criteria based on their data. If a data source is disconnected, any data streams or segments that depend on it will no longer function properly. Reference: [Data Sources], [Data Streams], [Segments]
NEW QUESTION # 91
A segment fails to refresh with the error "Segment references too many Data Lake Objects (DLOs)". What are two remedies for this issue?
- A. Space out the segment schedules to reduce Data Lake Object load
- B. Use Calculated Insights in order to reduce the complexity of the segmentation query
- C. Split the segment into smaller segments
- D. Refine segmentation criteria to limit up to 5 custom DMOs
Answer: A,C
Explanation:
These two remedies can help resolve the error "Segment references too many Data Lake Objects (DLOs)". Spacing out the segment schedules can reduce the concurrent load on the Data Lake Objects and improve performance. Splitting the segment into smaller segments can reduce the number of Data Lake Objects that are referenced by each segment. Reference: https://help.salesforce.com/s/articleView?
NEW QUESTION # 92
How do the Data streams that use the Marketing Cloud Connector refresh data?
- A. Manually refreshed by CDP Admin
- B. Marketing Cloud's Automation Studio handles this process.
- C. None of the above
- D. APIs are used for refresh
Answer: B
Explanation:
The data streams that use the Marketing Cloud Connector refresh data using MarketingCloud's Automation Studio. The Marketing Cloud Connector is a feature that allows you to stream data from Marketing Cloud to Data Cloud in near real time. The connector uses Automation Studio to schedule and run data extracts from Marketing Cloud data extensions and send them to Data Cloud via SFTP. You canconfigure the frequency and time of the data extracts in Automation Studio. References: Marketing Cloud Connector
NEW QUESTION # 93
A consultant is reviewing a recent activation using engagement-based related attributes but is not seeing any related attributes in their payload for the majority of their segment members.
Which two areas should the consultant review to help troubleshoot this issue?
Choose 2 answers
- A. The related engagement events occurred within the last 90 days.
- B. The correct path is selected for the related attributes.
- C. The activations are referencing segments that segment on profile data rather than engagement data.
- D. The activated profiles have a Unified Contact Point.
Answer: A,B
Explanation:
Engagement-based related attributes are attributes that describe the interactions of a person with an email message, such as opens, clicks, unsubscribes, etc. These attributes are stored in the Engagement data model object (DMO) and can be added to an activation to send more personalized communications. However, there are some considerations and limitations when using engagement-based related attributes, such as:
For engagement data, activation supports a 90-day lookback window. This means that only the attributes from the engagement events that occurred within the last 90 days are considered for activation. Any records outside of this window are not included in the activation payload. Therefore, the consultant should review the event time of the related engagement events and make sure they are within the lookback window.
The correct path to the related attributes must be selected for the activation. A path is a sequence of DMOs that are connected by relationships in the data model. For example, the path from Individual to Engagement is Individual -> Email -> Engagement. The path determines which related attributes are available for activation and how they are filtered. Therefore, the consultant should review the path selection and make sure it matches the desired related attributes and filters.
The other two options are not relevant for this issue. The activations can reference segments that segment on profile data rather than engagement data, as long as the activation target supports related attributes. The activated profiles do not need to have a Unified Contact Point, which is a unique identifier for a person across different data sources, to activate engagement-based related attributes. References: Add Related Attributes to an Activation, Related Attributes in Data Cloud activation have no values, Explore the Engagement Data Model Object
NEW QUESTION # 94
A consultant is ingesting a list of employees from their human resources database that they want to segment on.
Which data stream category should the consultant choose when ingesting this data?
- A. Other Data
- B. Profile Data
- C. Engagement Data
- D. Contact Data
Answer: A
Explanation:
Categories of Data Streams:
Profile Data: Customer profiles and demographic information.
Contact Data: Contact points like email and phone numbers.
Other Data: Miscellaneous data that doesn't fit into the other categories.
Engagement Data: Interactions and behavioral data.
Reference: Salesforce Data Stream Categories
Ingesting Employee Data:
Employee data typically doesn't fit into profile, contact, or engagement categories meant for customer data.
"Other Data" is appropriate for non-customer-specific data like employee information.
Reference: Salesforce Data Ingestion Guide
Steps to Ingest Employee Data:
Navigate to the data ingestion settings in Salesforce Data Cloud.
Select "Create New Data Stream" and choose the "Other Data" category.
Map the fields from the HR database to the corresponding fields in Data Cloud.
Reference: Salesforce Data Ingestion Tutorial
Practical Application:
Example: A company ingests employee data to segment internal communications or analyze workforce metrics.
Choosing the "Other Data" category ensures that this non-customer data is correctly managed and utilized.
Reference: Salesforce Data Management Case Studies
NEW QUESTION # 95
A user needs permissions to access Data Cloud to create, manage, and publish segments. However, the user should not be allowed to create reports or manage data sources. Which permission set should an administrator assign?
- A. Customer Data Cloud for Marketing Admin
- B. Customer Data Cloud for Marketing Data Aware Specialist
- C. Customer Data Cloud for Marketing Specialist
- D. Customer Data Cloud for Marketing Manager
Answer: C
Explanation:
This permission set should be assigned to a user who needs permissions to access Data Cloud to create, manage, and publish segments, but not to create reports or manage data sources. This permission set allows the user to create and edit segments, calculated insights, streaming insights, and activations, but not to access data streams, data model, identity resolution, or reports. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_permission_sets.htm&type=5
NEW QUESTION # 96
What is the maximum limit of the number of records for Full Refresh Extract Method?
- A. 40 million
- B. 10 million
- C. No hard limit
- D. 50 million
Answer: B
Explanation:
The maximum limit of the number of records for Full Refresh Extract Method is 10 million. Full Refresh Extract Method is an option for extracting data from Marketing Cloud to Data Cloud. It extracts all records from a data extension regardless of when they were created or modified. If the number of records exceeds 10 million, an error occurs and no records are extracted. References: Extract Methods
NEW QUESTION # 97
Which two dependencies can prevent a Data Stream from being deleted?
- A. A data stream attribute is used in Segmentation
- B. A data stream attribute is mapped to a Data Model object
- C. A data stream attribute is used in Activation
- D. A data stream attribute is used in Calculated Insight
Answer: B,D
Explanation:
A data stream cannot be deleted if any of its attributes are mapped to a Data Model object or used in a Calculated Insight3. These dependencies need to be removed before deleting the data stream.
NEW QUESTION # 98
What does it mean to build a trust-based, first-party data asset?
- A. To obtain competitive data from reliable sources through interviews, surveys, and polls
- B. To provide trusted, first-party data in the Data Cloud Marketplace that follows all complianceregulations
- C. To provide transparency and security for data gathered from individuals who provide consentfor its use and receive value in exchange
- D. To ensure opt-in consents are collected for all email marketing as required by law
Answer: C
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
NEW QUESTION # 99
Which configuration supports separate Amazon S3 buckets for data ingestion and activation?
- A. Dedicated S3 data sources in Data Cloud setup
- B. Dedicated S3 data sources in activation setup
- C. Separate user credentials for data stream and activation target
- D. Multiple S3 connectors in Data Cloud setup
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 # 100
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 automatically suppress individuals who are unengaged and have notopened or clicked on an email in the last six months.
- B. Data Cloud enforces the presence of Contact Point for Marketing Cloud activations. If theindividual does not have a related Contact Point, it will not be activated.
- C. Marketing Cloud activations apply a frequency cap and limit the number of records that can besent in an activation.
- D. 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 # 101
What is Data Cloud's primary value to customers?
- A. To create personalized campaigns by listening, understanding, and acting on customer behavior
- B. To create a single source of truth for all anonymous data
- C. To provide a unified view of a customer and their related data
- D. To connect all systems with a golden record
Answer: C
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 # 102
An organization is looking to use Data Cloud to unify data across 5 Salesforce orgs, 2 Marketing Cloud accounts, 6 Amazon S3 Buckets, and 4 Personalization datasets. As far as connection limits are concerned, which platform is going to present a challenge?
- A. Marketing Cloud
- B. Amazon S3 Bucket
- C. Salesforce CRM
- D. Personalization
Answer: A
Explanation:
This platform is going to present a challenge in terms of connection limits for Data Cloud. Data Cloud supports up to 3 Marketing Cloud connections per org, which means that only 3 Marketing Cloud accounts can be connected as data sources or activation targets. The other platforms have higher or no limits for connections. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_limits.htm&type=5
NEW QUESTION # 103
Northern Trail Outfitters wants to use some of its Marketing Cloud data in Data Cloud.
Which engagement channel data will require custom integration?
- A. Email
- B. SMS
- C. CloudPage
- D. Mobile push
Answer: C
Explanation:
CloudPage is a web page that can be personalized and hosted by Marketing Cloud. It is not one of the standard engagement channels that Data Cloud supports out of the box. To use CloudPage data in Data Cloud, a custom integration is required. The other engagement channels (SMS, email, and mobile push) are supported by Data Cloud and can be integrated using the Marketing Cloud Connector or the Marketing Cloud API. References: Data Cloud Overview, Marketing Cloud Connector, Marketing Cloud API
NEW QUESTION # 104
What can be customized in the Data Cloud canonical model?
- A. Objects and Fields
- B. Objects, Fields, and Relationships
- C. Objects
- D. Fields
Answer: B
Explanation:
You can customize the Data Cloud canonical model by adding, editing, or deleting objects,fields, and relationships. You can also modify the properties, labels, and descriptions of these components.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_canonical_model.htm&type=5
NEW QUESTION # 105
A Data Cloud Consultant Is in the process of setting up data streams for a new service-based data source.
When ingesting Case data, which field is recommended to be associated with the Event Time field?
- A. Last Modified Date
- B. Escalation Date
- C. Resolution Date
- D. Creation Date
Answer: D
Explanation:
The Event Time field is a special field type that captures the timestamp of an event in a data stream. It is used to track the chronological order of events and to enable time-based segmentation and activation. When ingesting Case data, the recommended field to be associated with the Event Time field is the Last Modified Date field. This field reflects the most recent update to the case and can be used to measure the case duration, resolution time, and customer satisfaction. The other fields, such as Resolution Date, Escalation Date, or Creation Date, are not as suitable for the Event Time field, as they may not capture the latest status of the case or may not be applicable for all cases. References: Data Stream Field Types, Salesforce Data Cloud Exam Questions
NEW QUESTION # 106
A consultant is discussing the benefits of Data Cloud with a customer that has multiple disjointed data sources.
Which two functional areas should the consultant highlight in relation to managing customer data?
Choose 2 answers
- A. Data Marketplace
- B. Unified Profiles
- C. Data Harmonization
- D. Master Data Management
Answer: B,C
Explanation:
Data Cloud is an open and extensible data platform that enables smarter, more efficient AI with secure access to first-party and industry data1. Two functional areas that the consultant should highlight in relation to managing customer data are:
Data Harmonization: Data Cloud harmonizes data from multiple sources and formats into a common schema, enabling a single source of truth for customer data1. Data Cloud also applies data quality rules and transformations to ensure data accuracy and consistency.
Unified Profiles: Data Cloud creates unified profiles of customers and prospects by linking data across different identifiers, such as email, phone, cookie, and device ID1. Unified profiles provide a holistic view of customer behavior, preferences, and interactions across channels and touchpoints. The other options are not correct because:
Master Data Management: Master Data Management (MDM) is a process of creating and maintaining a single, consistent, and trusted source of master data, such as product, customer, supplier, or location data.
Data Cloud does not provide MDM functionality, but it can integrate with MDM solutions to enrich customer data.
Data Marketplace: Data Marketplace is a feature of Data Cloud that allows users to discover, access, and activate data from third-party providers, such as demographic, behavioral, and intent data. Data Marketplace is not a functional area related to managing customer data, but rather a source of external data that can enhance customer data. References:
Salesforce Data Cloud
[Data Harmonization for Data Cloud]
[Unified Profiles for Data Cloud]
[What is Master Data Management?]
[Integrate Data Cloud with Master Data Management]
[Data Marketplace for Data Cloud]
NEW QUESTION # 107
......
Salesforce-Data-Cloud Dumps PDF - Salesforce-Data-Cloud Real Exam Questions Answers: https://pass4sure.test4cram.com/Salesforce-Data-Cloud_real-exam-dumps.html