[2026] Pass Salesforce Salesforce-Data-Cloud Exam Updated 171 Questions
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NEW QUESTION # 94
Which three Data Model objects do Reconciliation Rules operate across?
- A. Party Identification
- B. Lead
- C. Contact
- D. Contact Point Email
- E. Individual
Answer: A,D,E
Explanation:
These are the three Data Model objectsthat Reconciliation Rules operate across. Reconciliation rules tell Data Cloud how to prioritize values for unified individual profiles when there is conflicting information in the data model. For example, if two profiles have different email addresses, reconciliation rules can determine which one to use for the unified profile. Reconciliation rules can operate on the Individual object, which represents a person or entity, the Party Identification object, which represents an identifier such as a social media handle or a loyalty card number, and the Contact Point Email object, which represents an email address.
References: Identity Resolution Reconciliation Rules
NEW QUESTION # 95
Which feature can integrate in real time with Salesforce CRM?
- A. Data Actions
- B. Data Model Triggers
- C. CRM Starter Bundle
- D. Identity Resolution
Answer: A
Explanation:
This feature can integrate in real time with Salesforce CRM. Data Actions allow you to perform actions on Salesforce CRM records based on Data Cloud data, such as creating, updating, or deleting records. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_actions.htm&type=5
NEW QUESTION # 96
Cloud Kicks has received a Request to be Forgotten by a customer. In which two ways can Data Cloud honor this request?
- A. Add the Individual Id to a headerless file and use the delete from file functionality
- B. Delete the data from the incoming data stream and perform a full refresh
- C. Use the Consent API to suppress processing and delete the individual and related records from source data streams
- D. Use Data Explorer to locate and manually remove the Individual
Answer: A,C
Explanation:
These two ways can help Data Cloud honor a request to be forgotten by a customer. The Consent API allows you to set a consent flag for an individual that prevents further processing of their data and deletes their records from source data streams. The delete from file functionality allows you to upload a file with individual IDs that will be deleted from Data Cloud. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_consent_api.htm&type=5
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_delete_from_file.htm&type=5
NEW QUESTION # 97
How does Identity Resolution select attributes for Unified Individuals when there is conflicting information in the Data Model?
- A. Leverage Reconciliation Rules
- B. Create additional Contact Points
- C. Create additional Rule Sets
- D. Leverage Match Rules
Answer: A
Explanation:
Explanation
Reconciliation rules are used to select attributes for Unified Individuals when there is conflicting information in the Data Model. Reconciliation rules can use different methods to prioritize values, such as source sequence, most recent value, or most frequent value. For example, if two profiles have different first names, reconciliation rules can determine which one to use for the unified profile based on the source sequence or the most recent value. References: Identity Resolution Reconciliation Rules
NEW QUESTION # 98
Every day, Northern Trail Outfitters (NTO) uploads a summary of the last 24 hours of store transactions to a new file in an Amazon S3 bucket, and files older than 7 days are automatically deleted. Each file contains a timestamp in a standardized naming convention. What should a consultant consider when ingesting this data stream?
- A. Ensure the refresh mode is set to "Full Refresh" and "Refresh only new files' is selected
- B. Advise NTO to change their processes: this configuration is not supported
- C. Ensure the refresh mode is set to "Upsert" and Refresh only new files" is selected
- D. Ensure the refresh mode is set to "Full Refresh" and the filename contains a wildcard to accommodate the timestamp
Answer: C
Explanation:
This configuration will ensure that Data Cloud only ingests new files from the Amazon S3 bucket and updates or inserts new records into the data stream without deleting existing records. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_amazon_s3.htm&type=5
NEW QUESTION # 99
Which of the following are characteristics of Formulas? (Choose 2)
- A. Ease of use, self-service
- B. Highly reusable content
- C. Simple logic on a row-based operation
- D. Attribute updated regularly
Answer: A,C
Explanation:
These are two characteristics of Formulas. Formulas are a feature that allows you to create custom fields in the data model using simple logic on a row-based operation. For example, you can use a formula to create a field that concatenates the first name and last name of an individual. Formulas are easy to use and self-service, meaning that you can create them without coding or complex queries. You can use formulas to enrich your data and create more meaningful segments and insights. Reference: Formulas
NEW QUESTION # 100
Which data stream category should be assigned to use the data for time-based operations in segmentation and calculated insights?
- A. Individual
- B. Engagement
- C. Transaction
- D. Sales Order
Answer: C
Explanation:
The transaction data stream category should be assigned to use the data for time-based operations in segmentation and calculated insights. This category indicates that the data stream contains events that occur at a specific point in time and have a duration. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_stream_category.htm&type=5
NEW QUESTION # 101
A customer wants to use the transactional data from their data warehouse in Data Cloud. They are only able to export the data via a SFTP site. What are two recommended ways to bring this data into Data Cloud?
- A. Import the file into Google Cloud Storage and ingest with the Cloud Storage Connector
- B. Import the file into Amazon S3 and ingest with the Cloud Storage Connector
- C. Utilize Salesforce's Dataloader application to perform a bulk upload from a desktop
- D. Manually import the file using the Data Import Wizard
Answer: A,B
NEW QUESTION # 102
Which three actions can be applied to a previously created segment?
- A. Inactivate
- B. Export
- C. Reactivate
- D. Copy
- E. Delete
Answer: B,D,E
Explanation:
Explanation
These three actions can be applied to a previously created segment. You can export a segment to a CSV file, delete a segment from Data Cloud, or copy a segment to create a duplicate segment with the same criteria.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_segmentation_actions.htm&type=5
NEW QUESTION # 103
What is the first thing a business stakeholder should focus on when considering a Data Cloud implementation?
- A. Identify data sources
- B. Review consent and privacy management policies
- C. Obtain cross-organizational buy-in
- D. Identify activation targets
Answer: C
Explanation:
This is the first thing a business stakeholder should focus on when considering a Data Cloud implementation. Obtaining cross-organizational buy-in involves aligning the goals and expectations of different teams and stakeholders who will use or contribute to Data Cloud. Reference: https://trailhead.salesforce.com/content/learn/modules/customer-data-platform-basics/get-started-with-customer-data-platform
NEW QUESTION # 104
What should be the type of the Event Time Field while ingesting Engagement data?
- A. Mutable
- B. Inconsistent
- C. Immutable
- D. None of the above
Answer: C
Explanation:
The type of the Event Time Field while ingesting Engagement data should be Immutable. Immutable means that the field value cannot be changed once it is ingested. The Event Time Field is a mandatory field for Engagement data that represents the timestamp of when an event occurred. It is important to keep this field immutable to ensure the accuracy and consistency of the event data. Reference: Engagement Data Model
NEW QUESTION # 105
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 Harmonization
- B. Unified Profiles
- C. Data Marketplace
- D. Master Data Management
Answer: A,B
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 # 106
Which two features are impacted by the timezone setting in the org Data Cloud is provisioned in?
- A. Activation Schedule
- B. Segment Schedule
- C. Ingestion Schedule
- D. Identity Resolution
Answer: A,B
Explanation:
Explanation
These two features are impacted by the timezone setting in the org Data Cloud is provisioned in. The segment schedule determines how often a segment is refreshed based on the selected timezone. The activation schedule determines how often a segment is exported to an activation target based on the selected timezone. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_segmentation_schedule.htm&type=5https://help.salesfor
NEW QUESTION # 107
Which data sources are available from Marketing Cloud as a starter bundle?
- A. Email, Mobile Connect, and Einstein Engagement Scoring
- B. Email, Cloud Pages, Einstein Web & Email Recommendations
- C. Email, MobileConnect, MobilePush and GroupConnect
- D. Email, MobileConnect and MobilePush
Answer: D
Explanation:
Explanation
These data sources are available from Marketing Cloud as a starter bundle. They provide basic contact data, such as email address, mobile number, and device ID, as well as engagement data, such as email opens, clicks, bounces, unsubscribes, SMS sends, deliveries, opt-outs, and push sends, opens, and opt-outs.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_marketing_cloud_data_foundatio
NEW QUESTION # 108
Which data sources are available from Marketing Cloud as a starter bundle?
- A. Email, Mobile Connect, and Einstein Engagement Scoring
- B. Email, Cloud Pages, Einstein Web & Email Recommendations
- C. Email, MobileConnect, MobilePush and GroupConnect
- D. Email, MobileConnect and MobilePush
Answer: D
Explanation:
These data sources are available from Marketing Cloud as a starter bundle. They provide basic contact data, such as email address, mobile number, and device ID, as well as engagement data, such as email opens,clicks, bounces, unsubscribes, SMS sends, deliveries, opt-outs, and push sends, opens, and opt-outs. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_marketing_cloud_data_foundation.
htm&type=5
NEW QUESTION # 109
Which operator can be used to create a segment for a birthday campaign that is evaluated daily?
- A. Is This Year
- B. Is Between
- C. Is Birthday
- D. Is Anniversary Of
Answer: D
Explanation:
This operator can be used to create a segment for a birthday campaign that is evaluated daily. It compares a date attribute to the current date and returns true if they have the same month and day, regardless of the year. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_segmentation_operators.htm&type=5
NEW QUESTION # 110
A segment fails to refresh with the error "Segment references too many Data Lake Objects (DLOs)". What are two remedies for this issue?
- A. Refine segmentation criteria to limit up to 5 custom DMOs
- B. Space out the segment schedules to reduce Data Lake Object load
- C. Use Calculated Insights in order to reduce the complexity of the segmentation query
- D. Split the segment into smaller segments
Answer: B,D
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 # 111
How does an administrator increase the consolidation rate for Identity Resolution?
- A. Reduce the number of matching rules
- B. Change the Ignore Empty Value option
- C. Add more matching rules to broaden the search for matches
- D. Change all reconciliation rules to Source Sequence
Answer: A
Explanation:
Reducing the number ofmatching rules can increase the consolidation rate for Identity Resolution, because it reduces the chances of finding multiple matches for the same individual. Matching rules tell Data Cloud which profiles to unify during the identity resolution process. If there are too many matching rules, Data Cloud might find more than one match for a given profile, resulting in a lower consolidation rate.
References: Identity Resolution Match Rules
NEW QUESTION # 112
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