New 2026 Salesforce-Data-Cloud Dumps for Accredited Professional Certified Exam Questions and Answer
Realistic Verified Salesforce-Data-Cloud exam dumps Q&As - Salesforce-Data-Cloud Free Update
NEW QUESTION # 94
When setting up the data source object or schema for data ingestion, what are the three data categories to select from?
- A. Other Data
- B. Engagement Data
- C. Order Data
- D. Profile Data
- E. Event Data
Answer: B,C,D
Explanation:
These are the three data categories to select from when setting up the data source object or schema for data ingestion. Engagement data includes information about how customers interact with a brand or product, such as clicks, views, likes, etc. Order data includes information about transactions or purchases made by customers, such as order ID, amount, date, etc. Profile data includes information about customers' attributes or preferences, such as name, email, gender, etc. Reference: [Data Categories]
NEW QUESTION # 95
Which match criteria is only available as custom in order to perform an exact match in Identity Resolution?
- A. Email Address
- B. Party Identification Id
- C. Phone Number
- D. Government Id
Answer: B
Explanation:
Explanation
Party Identification Id is the only match criteria that is only available as custom in order to perform an exact match in Identity Resolution. Party Identification Id is a unique identifier for each Party Identification record in the data model. It is not one of the standard match criteria that Data Cloud provides out of the box, so it has to be created as a custom match criteria. Custom match criteria allow you to use any field from the data model as a match rule. References: Create Custom Match Criteria
NEW QUESTION # 96
Which three options can be used to build a filter in the Segmentation Canvas?
- A. Related Attributes
- B. Streaming Insights
- C. Direct Attributes
- D. Data Lake Objects
- E. Calculated Insights
Answer: B,C,E
Explanation:
A window function is aunique requirement of a Streaming Insight query. It defines the time interval for the query to run on the streaming data and the frequency of the query execution.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm&type=5
NEW QUESTION # 97
How many calculated insights can be created per tenant?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: A
Explanation:
Explanation
The maximum number of calculated insights that can be created per tenant is 50. A calculated insight is a metric that defines and calculates a multidimensional measure on your data. You can use calculated insights to create segments and analyze your data in Data Cloud. You can also use calculated insights to create dashboards and reports in Tableau CRM. References: Calculated Insights
NEW QUESTION # 98
An organization wants to enable users with the ability to identify and select text attributes from a picklist of options. Which Data Cloud feature can help with this use case?
- A. Transformation Formulas
- B. Data Harmonization
- C. Global Picklists
- D. Value Suggestion
Answer: D
Explanation:
Value suggestion is a feature of Data Cloud that allows you to identify and select text attributes from a picklist of options. You can use value suggestion to standardize values across different data sources and improve data quality.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_value_suggestion.htm&type=5
NEW QUESTION # 99
Which permission setting should an administrator check if the custom CRM object is not available in New Data Stream configuration?
- A. Modify All object permission enabled in DataCloud org
- B. Create object permission enabled in Data Cloud org
- C. View All object permission enabled in source CRM org
- D. Ingest Object permission is enabled in the CRM org
Answer: C
Explanation:
This permission setting should be checked if the custom CRM object is not available in New Data Stream configuration. The user who connects the Salesforce CRM connector must have View All permission for the custom object in the source CRM org. References:https://help.salesforce.com/s/articleView?id=sf.
c360_a_data_cloud_salesforce_crm.htm&type=5
NEW QUESTION # 100
Which method should an administrator use when performing aggregations in windows of 15 minutes on data collected via the Interactions SDK and Mobile SDK?
- A. Segment
- B. Activation
- C. Calculated Insight
- D. Streaming Insight
Answer: D
Explanation:
This method should be used when performing aggregations in windows of 15 minutes on data collected via the Interactions SDK and Mobile SDK. Streaming Insight allows you to query and aggregate data from real-time streams using window functions. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm&type=5
NEW QUESTION # 101
A user Is not seeing suggested values from newly-modeled data when building a segment.
What is causing this issue?
- A. Value suggestion requires Data Aware Specialist permissions at a minimum.
- B. Value suggestion can only work on direct attributes and not related attributes.
- C. Value suggestion is still processing and takes up to 24 hours to be available.
- D. Value suggestion will only return results for the first 50 values of a specific attribute,
Answer: C
Explanation:
The most likely cause of this issue is that value suggestion is still processing and takes up to 24 hours to be available. Value suggestion is a feature that enables you to see suggested values for data model object (DMO) fields when creating segment filters. However, this feature needs to be enabled for each DMO field, and it can take up to 24 hours for the suggested values to appear after enabling the feature1. Therefore, if a user is not seeing suggested values from newly-modeled data, it could be that the data has not been processed yet by the value suggestion feature. References:
Use Value Suggestions in Segmentation
NEW QUESTION # 102
Northern Trail Outfitters (NTO) is configuring an identity resolution ruleset based on Fuzzy Name and Normalized Email.
What should NTO do to ensure the best email address is activated?
- A. Use the source priority order in activations to make sure a contact point from the desired sourceis delivered to the activation target.
- B. Ensure Marketing Cloud is prioritized as the first data source in the Source Priority reconciliationrule.
- C. Include Contact Point Email object Is Active field as a match rule.
- D. Set the default reconciliation rule to Last Updated.
Answer: A
Explanation:
NTO is using Fuzzy Name and Normalized Email as match rules to link together data from different sources into a unified individual profile. However, there might be cases where the same email address is available from more than one source, and NTO needs to decide which one to use for activation. For example, if Rachel has the same email address in Service Cloud and Marketing Cloud, but prefers to receive communications from NTO via Marketing Cloud, NTO needs to ensure that the email address from Marketing Cloud is activated. To do this, NTO can use the source priority order in activations, which allows them to rank the data sources in order of preference for activation. By placing Marketing Cloud higher than Service Cloud in the source priority order, NTO can make sure that the email address from Marketing Cloud is delivered to the activation target, such as an email campaign or a journey. This way, NTO can respect Rachel's preference and deliver a better customer experience. References: Configure Activations, Use Source Priority Order in Activations
NEW QUESTION # 103
A customer has a requirement to receive a notification whenever an activation fails for a particular segment.
Which feature should the consultant use to solution for this use case?
- A. Activation alert
- B. Flow
- C. Report
- D. Dashboard
Answer: A
Explanation:
The feature that the consultant should use to solution for this use case is C. Activation alert. Activation alerts are notifications that are sent to users when an activation fails or succeeds for a segment. Activation alerts can be configured in the Activation Settings page, where the consultant can specify the recipients, the frequency, and the conditions for sending the alerts. Activation alerts can help the customer to monitor the status of their activations and troubleshoot any issues that may arise. References: Salesforce Data Cloud Consultant Exam Guide, Activation Alerts
NEW QUESTION # 104
Which two objects or fields are supported for ingestion using the Salesforce CRM connector?
- A. Custom Big Objects
- B. Standard Big Objects
- C. Standard Objects
- D. Custom Objects
Answer: C,D
Explanation:
The Salesforce CRM connector supports ingestion of standard objects and custom objects from Salesforce CRM. Standard objects are predefined objects that are included with Salesforce CRM, such as Account, Contact, Lead, etc. Custom objects are objects that customers can create to store information that is specific to their organization or industry. Reference: [Salesforce CRM Connector], [Standard Objects], [Custom Objects]
NEW QUESTION # 105
The website team at Cumulus Financial Services wants to understand which identified users have browsed the jobs page on their website at least twice within the last 12 hours. Which component should a consultant recommend to achieve this goal?
- A. Segment
- B. Calculated Insight
- C. Streaming Insight
- D. Streaming Data Transformation
Answer: C
Explanation:
This component should be recommended to achieve the goal of understanding which identified users have browsed the jobs page on their website at least twice within the last 12 hours. Streaming Insight allows you to query and filter data from real-timestreams using window functions and aggregation functions.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm&type=5
NEW QUESTION # 106
What are the two minimum requirements needed when using the Visual Insights Builder to create a Calculated Insight?
- A. At least one measure
- B. At least two objects to join
- C. At least one dimension
- D. WHERE clause is required
Answer: A,C
Explanation:
These two requirements are needed when using the Visual Insights Builder to create a Calculated Insight. A dimension is an attribute that can be used to group or filter data, such as product category or customer segment. A measure is an attribute that can be used to perform calculations, such as revenue or quantity. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_calculated_insights_create.htm&type=5
NEW QUESTION # 107
Which of the following functions returns the first value from a list that isn't empty?
- A. CONCAT
- B. COALESCE
- C. REPLACE
- D. FIND
Answer: B
Explanation:
COALESCE is the function that returns the first value from a list that isn't empty. It takes a list of values as arguments and returns the first non-empty value. For example, COALESCE(NULL, '', 'Hello', 'World') returns 'Hello'. If all values are empty, it returns NULL. Reference: COALESCE
NEW QUESTION # 108
The recruiting team at Cumulus Financial wants to identify which candidates have browsed the jobs page on its website at least twice within the last 24 hours. They want the information about these candidates to be available for segmentation in Data Cloud and the candidates added to their recruiting system.
Which feature should a consultant recommend to achieve this goal?
- A. Streaming data transform
- B. Streaming insight
- C. Calculated insight
- D. Batch bata transform
Answer: B
Explanation:
A streaming insight is a feature that allows users to create and monitor real-time metrics from streaming data sources, such as web and mobile events. A streaming insight can also trigger data actions, such as sending notifications, creating records, or updating fields, based on the metric values and conditions. Therefore, a streaming insight is the best feature to achieve the goal of identifying candidates who have browsed the jobs page on the website at least twice within the last 24 hours, and adding them to the recruiting system. The other options are incorrect because:
A streaming data transform is a feature that allows users to transform and enrich streaming data using SQL expressions, such as filtering, joining, aggregating, or calculating values. However, a streaming data transform does not provide the ability to monitor metrics or trigger data actions based on conditions.
A calculated insight is a feature that allows users to define and calculate multidimensional metrics from data using SQL expressions, such as LTV, CSAT, or average order value. However, a calculated insight is not suitable for real-time data analysis, as it runs on a scheduled basis and does not support data actions.
A batch data transform is a feature that allows users to create and schedule complex data transformations using a visual editor, such as joining, aggregating, filtering, or appending data. However, a batch data transform is not suitable for real-time data analysis, as it runs on a scheduled basis and does not support data actions. References: Streaming Insights, Create a Streaming Insight, Use Insights in Data Cloud, Learn About Data Cloud Insights, Data Cloud Insights Using SQL, Streaming Data Transforms, Get Started with Batch Data Transforms in Data Cloud, Transformations for Batch Data Transforms, Batch Data Transforms in Data Cloud: Quick Look, Salesforce Data Cloud: AI CDP.
NEW QUESTION # 109
A financial services firm specializing in wealth management contacts a Data Cloud consultant with an identity resolution request. The company wants to enhance its strategy to better manage individual client profiles within family portfolios.
Family members often share addresses and sometimes phone numbers but have distinct investment preferences and financial goals. The firm aims to avoid blending individual family profiles into a single entity to maintain personalized service and accurate financial advice.
Which identity resolution strategy should the consultant put in place?
- A. Use multiple contact points without individual attributes in the match rules.
- B. Configure a single match rule based on a custom identifier.
- C. Configure a single match rule with a single connected contact point based on address.
- D. Use a more restrictive design approach to ensure the match rules perform as desired.
Answer: D
Explanation:
To manage individual client profiles within family portfolios while avoiding blending profiles, the consultant should recommend a more restrictive design approach for identity resolution. Here's why:
Understanding the Requirement
The financial services firm wants to maintain distinct profiles for individual family members despite shared contact points (e.g., address, phone number).
The goal is to avoid blending profiles to ensure personalized service and accurate financial advice.
Why a Restrictive Design Approach?
Avoiding Over-Matching :
A restrictive design approach ensures that match rules are narrowly defined to prevent over-matching (e.g., merging profiles based solely on shared addresses or phone numbers).
This preserves the uniqueness of individual profiles while still allowing for some shared attributes.
Custom Match Rules :
The consultant can configure custom match rules that prioritize unique identifiers (e.g., email, social security number) over shared contact points.
This ensures that family members with shared addresses or phone numbers remain distinct.
Other Options Are Less Suitable :
A). Configure a single match rule with a single connected contact point based on address : This would likely result in over-matching and blending profiles, which is undesirable.
B). Use multiple contact points without individual attributes in the match rules : This approach lacks the precision needed to maintain distinct profiles.
D). Configure a single match rule based on a custom identifier : While custom identifiers are useful, relying on a single rule may not account for all scenarios and could lead to over-matching.
Steps to Implement the Solution
Step 1: Analyze Shared Attributes
Identify shared attributes (e.g., address, phone number) and unique attributes (e.g., email, social security number).
Step 2: Define Restrictive Match Rules
Configure match rules that prioritize unique attributes and minimize reliance on shared contact points.
Step 3: Test Identity Resolution
Test the match rules to ensure that individual profiles are preserved while still allowing for some shared attributes.
Step 4: Monitor and Refine
Continuously monitor the results and refine the match rules as needed to achieve the desired outcome.
Conclusion
A more restrictive design approach ensures that match rules perform as desired, preserving the uniqueness of individual profiles while accommodating shared attributes within family portfolios.
NEW QUESTION # 110
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. Flow orchestration
- B. Metrics on metrics
- C. Nested segments
- D. Streaming data transformations
Answer: D
Explanation:
This feature can help Northern Trail Outfitters calculate each customer's lifetime value (LTV) and create breakdowns of the revenue sourced by different channels. Streaming data transformations allow you to transform and enrich streaming data from different sources using formulas and operators. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_streaming_data_transform.htm&type=5
NEW QUESTION # 111
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. Resolution Date
- B. Last Modified Date
- C. Creation Date
- D. Escalation Date
Answer: C
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 # 112
Which two statements about Data Cloud's Web and Mobile App connector are true?
- A. Mobile and Web SDK schema can be updated to delete an existing field
- B. Data Cloud administrators can see the status of a Web or Mobile connector app on the app details page
- C. Tenant Specific Endpoint is auto-generated in Data Cloud when setting up a Mobile or Web app connection
- D. Any Data Streams associated with Web or Mobile connector app will be automatically deleted upon deleting the app from Data Cloud Setup
Answer: B,C
Explanation:
The app details page shows the status of the app, such as active, inactive, or error. The tenant specific endpoint is a unique URL that is generated for each app and used to send data to Data Cloud from the web or mobile SDK. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_web_mobile_app_connector.htm&type=5
NEW QUESTION # 113
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