Updated Jun-2026 Test Engine to Practice Test for Salesforce-Data-Cloud Exam Questions and Answers!
Salesforce Data Cloud Accredited Professional Exam Certification Sample Questions and Practice Exam
NEW QUESTION # 23
How do the Data streams that use the Marketing Cloud Connector refresh data?
- A. None of the above
- B. APIs are used for refresh
- C. Marketing Cloud's Automation Studio handles this process.
- D. Manually refreshed by CDP Admin
Answer: C
Explanation:
Explanation
The data streams that use the Marketing Cloud Connector refresh data using Marketing Cloud'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 can configure the frequency and time of the data extracts in Automation Studio. References: Marketing Cloud Connector
NEW QUESTION # 24
Which two characteristics describe the Customer 360 data model?
- A. A Canonical Model
- B. AStatic Model
- C. A Conceptual Model
- D. A Product Sold By Salesforce
Answer: A,C
Explanation:
The Customer 360 data model is a conceptual model and a canonical model. A conceptual model is a high-level representation of the entities and relationships in a domain of interest, without specifying any implementation details. A canonical model is a common and consistent data model that can be used across different systems and applications. References: [Customer 360 Data Model Overview], [Conceptual Model],
[Canonical Model]
NEW QUESTION # 25
What are the two minimum requirements needed when using the Visual Insights Builder to create a calculated insight?
Choose 2 answers
- A. At least one dimension
- B. At least two objects to Join
- C. A WHERE clause
- D. At least one measure
Answer: A,D
Explanation:
Introduction to Visual Insights Builder:
The Visual Insights Builder in Salesforce Data Cloud is a tool used to create calculated insights, which are custom metrics derived from the existing data.
Reference: Salesforce Visual Insights Builder Documentation
Requirements for Creating Calculated Insights:
Measure: A measure is a quantitative value that you want to analyze, such as revenue, number of purchases, or total time spent on a platform.
Dimension: A dimension is a qualitative attribute that you use to categorize or filter the measures, such as date, region, or customer segment.
Reference: Salesforce Insights Builder Guide
Steps to Create a Calculated Insight:
Navigate to the Visual Insights Builder within Salesforce Data Cloud.
Select "Create New Insight" and choose the dataset.
Add at least one measure: This could be any metric you want to analyze, such as "Total Sales." Add at least one dimension: This helps to break down the measure, such as "Sales by Region." Reference: Salesforce Calculated Insights Creation Tutorial Practical Application:
Example: To create an insight on "Average Purchase Value by Region," you would need:
A measure: Total Purchase Value.
A dimension: Customer Region.
This allows for actionable insights, such as identifying high-performing regions.
NEW QUESTION # 26
How does an administrator increase the consolidation rate for Identity Resolution?
- A. Change all reconciliation rules to Source Sequence
- B. Reduce the number of matching rules
- C. Add more matching rules to broaden the search for matches
- D. Change the Ignore Empty Value option
Answer: B
Explanation:
Explanation
Reducing the number of matching 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 # 27
Which permission setting should an administrator check if the custom CRM object is not available in New Data Stream configuration?
- A. Ingest Object permission is enabled in the CRM org
- B. Modify All object permission enabled in Data Cloud org
- C. Create object permission enabled in Data Cloud org
- D. View All object permission enabled in source CRM org
Answer: D
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 # 28
An administrator is setting up a data stream with transactional data. What field type should the administrator choose to ensure that leading zeros in the purchase order number are preserved?
- A. Text
- B. Number
- C. Serial
- D. Decimal
Answer: A
Explanation:
The Text field type should be chosen to preserve leading zeros in the purchase order number, as this field type stores alphanumeric characters as strings. The Number and Decimal field types store numeric values as numbers, which would remove any leading zeros. The Serial field type is not a valid field type in Data Cloud.
References: [Field Types]
NEW QUESTION # 29
To import campaign members into a campaign in Salesforce CRM, a user wants to export the segment to Amazon S3. The resulting file needs to include the Salesforce CRM Campaign ID in the name.
What are two ways to achieve this outcome?
Choose 2 answers
- A. Include campaign identifier in the activation name.
- B. Hard code the campaign identifier as a new attribute in the campaign activation.
- C. Include campaign identifier in the segment name.
- D. Include campaign identifier in the filename specification.
Answer: A,D
Explanation:
The two ways to achieve this outcome are A and C. Include campaign identifier in the activation name and include campaign identifier in the filename specification. These two options allow the user to specify the Salesforce CRM Campaign ID in the name of the file that is exported to Amazon S3. The activation name and the filename specification are both configurable settings in the activation wizard, where the user can enter the campaign identifier as a text or a variable. The activation name is used as the prefix of the filename, and the filename specification is used as the suffix of the filename. For example, if the activation name is
"Campaign_123" and the filename specification is "{segmentName}_{date}", the resulting file name will be
"Campaign_123_SegmentA_2023-12-18.csv". This way, the user can easily identify the file that corresponds to the campaign and import it into Salesforce CRM.
The other options are not correct. Option B is incorrect because hard coding the campaign identifier as a new attribute in the campaign activation is not possible. The campaign activation does not have any attributes, only settings. Option D is incorrect because including the campaign identifier in the segment name is not sufficient.
The segment name is not used in the filename of the exported file, unless it is specified in the filename specification. Therefore, the user will not be able to see the campaign identifier in the file name.
NEW QUESTION # 30
A customer has requested that their personal data be deleted. Which action should be performed to accommodate this request in Data Cloud?
- A. Utilize the Data Rights Subject Request tool to request deletion of the customer's information
- B. Manually delete customer and related records using the Profile Explorer
- C. Use Ingestion API to request deletion of the customer's information
- D. Use Consent API to request deletion of the customer's information
Answer: D
Explanation:
This action should be performed to accommodate the request to delete personal data in Data Cloud. 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. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_consent_api.htm&type=5
NEW QUESTION # 31
What is the relationship between Individual and Contact Point Objects?
- A. Many: Many
- B. 1: Many
- C. None of the above
- D. 1:1
Answer: B
Explanation:
Explanation
The relationship between Individual and Contact Point Objects is 1: Many. This means that one Individual can have many Contact Points, such as email addresses, phone numbers, or postal addresses, but each Contact Point can only belong to one Individual. References: Data Model Overview
NEW QUESTION # 32
To import campaign members into a campaign in CRM a user wants to export the segment to Amazon S3. The resulting file needs to include CRM Campaign ID in the name. How can this outcome be achieved?
- A. Include campaign identifier into the filename specification
- B. Include campaign identifier into the activation name
- C. Include campaign identifier into the segment name
- D. Hard-code the campaign identifier as a new attribute in the campaign activation
Answer: A
Explanation:
You can use the filename specification option in the Amazon S3 activation to customize the name of the file that is exported. You can use variables such as {campaignId} to include the CRM campaign ID in the file name.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_amazon_s3.htm&type=5
NEW QUESTION # 33
What happens if no file name is specified in AWS S3 data stream during ingestion?
- A. The ingestion setup is completed but the data stream shows 0 records
- B. The system chooses the first file found in the S3 bucket
- C. The ingestion setup can't be completed without specifying the filename.
- D. The system does not fetch any file and the data stream shows an error.
Answer: D
Explanation:
If no file name is specified in AWS S3 data stream during ingestion, the system does not fetch any file and the data stream shows an error. AWS S3 data stream is a feature that allows you to stream data from Amazon Web Services Simple Storage Service (AWS S3) to Data Cloud in near real time. You need to specify the file name or prefix of the files that you want to ingest from your S3 bucket. If you leave this field blank, the system cannot find any matching files and returns an error message. Reference: AWS S3 Data Stream
NEW QUESTION # 34
What does the Source Sequence reconciliation rule do in identity resolution?
- A. Identifies which data sources should be used in the process of reconcillation by prioritizing themost recently updated data source
- B. Sets the priority of specific data sources when building attributes in a unified profile, such as afirst or last name
- C. Identifies which individual records should be merged into a unified profile by setting a priority forspecific data sources
- D. Includes data from sources where the data is most frequently occurring
Answer: B
Explanation:
The Source Sequence reconciliation rule sets the priority of specific data sources when building attributes in a unified profile, such as a first or last name. This rule allows you to define which data source should be used as the primary source of truth for each attribute, and which data sources should be used as fallbacks in case the primary source is missing or invalid. For example, you can set the Source Sequence rule to use data from Salesforce CRM as the first priority, data from Marketing Cloud as the second priority, and data from Google Analytics as the third priority for the first name attribute. This way, the unified profile will use the first name value from Salesforce CRM if it exists, otherwise it will use the value from Marketing Cloud, and so on. This rule helps you to ensure the accuracy and consistency of the unified profile attributes across different data sources. References: Salesforce Data Cloud Consultant Exam Guide, Identity Resolution, Reconciliation Rules
NEW QUESTION # 35
How does Data Cloud handle an individual's right to be forgotten?
- A. Deletes the specified Individual record and its Unified Individual Link record.
- B. Deletes the records from all DSOs and any downstream DMOs are updated at the next scheduled ingestion.
- C. Deletes the specified Individual and records from any DMO/DLO related to the Individual.
- D. Deletes the specified Individual and records from any DSO mapped to the Individual DMO.
Answer: D
Explanation:
Explanation
This is how Data Cloud handles an individual's right to be forgotten. It deletes the individual record from the Individual data model object (DMO) and any related records from the data stream objects (DSOs) that are mapped to it.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_delete_individual.htm&type=5
NEW QUESTION # 36
What does the Ignore Empty Value option do in identity resolution?
- A. Ignores empty fields when running any custom match rules
- B. Ignores empty fields when running the standard match rules
- C. Ignores Individual object records with empty fields when running identity resolution rules
- D. Ignores empty fields when running reconciliation rules
Answer: D
Explanation:
The Ignore Empty Value option in identity resolution allows customers to ignore empty fields when running reconciliation rules. Reconciliation rules are used to determine the final value of an attribute for a unified individual profile, based on the values from different sources. The Ignore Empty Value option can be set to true or false for each attribute in a reconciliation rule. If set to true, the reconciliation rule will skip any source that has an empty value for that attribute and move on to the next source in the priority order. If set to false, the reconciliation rule will consider any source that has an empty value for that attribute as a valid source and use it to populate the attribute value for the unified individual profile.
The other options are not correct descriptions of what the Ignore Empty Value option does in identity resolution. The Ignore Empty Value option does not affect the custom match rules or the standard match rules, which are used to identify and link individuals across different sources based on their attributes. The Ignore Empty Value option also does not ignore individual object records with empty fields when running identity resolution rules, as identity resolution rules operate on the attribute level, not the record level.
Data Cloud Identity Resolution Reconciliation Rule Input
Configure Identity Resolution Rulesets
Data and Identity in Data Cloud
NEW QUESTION # 37
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. Personalization
- B. Marketing Cloud
- C. Amazon S3 Bucket
- D. Salesforce CRM
Answer: B
Explanation:
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.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_limits.htm&type=5
NEW QUESTION # 38
The leadership team at Cumulus Financial has declared that customers who have deposited more than $250,000 in the last 5 years and who are not using advisory services, will be the central focus for all new campaigns in the next year. Which two features support this need?
- A. Segment
- B. Report|
- C. Calculated Insight
- D. Dashboard
Answer: A,C
Explanation:
These two features support the need to calculate each customer's lifetime value (LTV) and create breakdowns of the revenue sourced by different channels. Calculated Insight allows you to create complex calculations based on stored data, such as LTV. Segment allows you to create audiences based on different criteria, such as revenue source. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_calculated_insights.htm&type=5 https://help.salesforce.com/s/articleView?id=sf.c360_a_segmentation.htm&type=5
NEW QUESTION # 39
How does an administrator increase the consolidation rate for Identity Resolution?
- A. Change all reconciliation rules to Source Sequence
- B. Reduce the number of matching rules
- C. Add more matching rules to broaden the search for matches
- D. Change the Ignore Empty Value option
Answer: B
Explanation:
Reducing the number of matching 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. Ifthere 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 # 40
A customer is concerned that the consolidation rate displayed in the identity resolution is quite low compared to their initial estimations.
Which configuration change should a consultant consider in order to increase the consolidation rate?
- A. Reduce the number of matching rules.
- B. Change reconciliation rules to Most Occurring.
- C. Increase the number of matching rules.
- D. Include additional attributes in the existing matching rules.
Answer: C
Explanation:
The consolidation rate is the amount by which source profiles are combined to produce unified profiles, calculated as 1 - (number of unified individuals / number of source individuals). For example, if you ingest
100 source records and create 80 unified profiles, your consolidation rate is 20%. To increase the consolidation rate, you need to increase the number of matches between source profiles, which can be done by adding more match rules. Match rules define the criteria for matching source profiles based on their attributes.
By increasing the number of match rules, you can increase the chances of finding matches between source profiles and thus increase the consolidation rate. On the other hand, changing reconciliation rules, including additional attributes, or reducing the number of match rules can decrease the consolidation rate, as they can either reduce the number of matches or increase the number of unified profiles. References: Identity Resolution Calculated Insight: Consolidation Rates for Unified Profiles, Identity Resolution Ruleset Processing Results, Configure Identity Resolution Rulesets
NEW QUESTION # 41
A consultant is planning the ingestion of a data stream that has profile information including a mobile phone number.
To ensure that the phone number can be used for future SMS campaigns, they need to confirm the phone number field is in the proper E164 Phone Number format. However, the phone numbers in the file appear to be in varying formats.
What is the most efficient way to guarantee that the various phone number formats are standardized?
- A. Assign the PhoneNumber field type when creating the data stream.
- B. Create a formula field to standardize the format.
- C. Create a calculated insight after ingestion.
- D. Edit and update the data in the source system prior to sending to Data Cloud.
Answer: A
Explanation:
The most efficient way to guarantee that the various phone number formats are standardized is to assign the PhoneNumber field type when creating the data stream. The PhoneNumber field type is a special field type that automatically converts phone numbers into the E164 format, which is the international standard for phone numbers. The E164 format consists of a plus sign (+), the country code, and the national number. For example, +1-202-555-1234 is the E164 format for a US phone number. By using the PhoneNumber field type, the consultant can ensure that the phone numbers are consistent and can be used for future SMS campaigns.
The other options are either more time-consuming, require manual intervention, or do not address the formatting issue. References: Data Stream Field Types, E164 Phone Number Format, Salesforce Data Cloud Exam Questions
NEW QUESTION # 42
When creating a segment on an individual, what is the result of using two separate containers linked by an AND: At Least 1 of GoodsProduct.Color Is Equal To 'red' AND At Least 1 of GoodsProduct.PrimaryProductCategory Is Equal To shoes'?
- A. Individuals who purchased at least 1 'red shoes' as a single line item in a purchase
- B. Individuals who purchased at least 1 'red shoes'. 1 of any red' item, or 1 of any 'shoes' item in a purchase
- C. Individuals who purchased at least 1 of any red' product and also purchased at least 1 pair of shoes'
- D. Individuals who made a purchase of at least 1 of only 'red shoes' and nothing else
Answer: C
Explanation:
According to the Data Cloud documentation, when using two separate containers linked by an AND operator, the segment includes individuals who meet both conditions. In this case, the segment includes individuals who purchased at least one product with the color attribute equal to 'red', and also purchased at least one product with the primary product category attribute equal to 'shoes'. The products do not have to be the same or in the same order line item.
NEW QUESTION # 43
Which two applications automatically create activation targets at the time the application is connected to Data Cloud?
- A. B2C Commerce
- B. Personalization powered by Interaction Studio
- C. Amazon S3
- D. Marketing Cloud Engagement
Answer: A,B
Explanation:
These two applications automatically create activation targets when they are connected to Data Cloud. Youcan use these targets to activate segments or calculated insights to these applications.References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_activation.htm&type
NEW QUESTION # 44
A Data Cloud customer wants to adjust their identity resolution rules to increase their accuracy of matches. Rather than matching on email address, they want to review a rule that joins their CRM Contacts with their Marketing Contacts, where both use the CRM ID as their primary key.
Which two steps should the consultant take to address this new use case?
Choose 2 answers
- A. Create a matching rule based on party identification that matches on CRM ID as the partyidentification name.
- B. Map the primary key from the two systems to party identification, using CRM ID as theidentification name for individualscoming from the CRM, and Marketing ID as the identification name for individuals coming from themarketing platform.
- C. Map the primary key from the two systems to Party Identification, using CRM ID as theidentification name for both.
- D. Create a custom matching rule for an exact match on the Individual ID attribute.
Answer: A,C
Explanation:
To address this new use case, the consultant should map the primary key from the two systems to Party Identification, using CRM ID as the identification name for both, and create a matching rule based on party identification that matches on CRM ID as the party identification name. This way, the consultant can ensure that the CRM Contacts and Marketing Contacts are matched based on their CRM ID, which is a unique identifier for each individual. By using Party Identification, the consultant can also leverage the benefits of this attribute, such as being able to match across different entities and sources, and being able to handle multiple values for the same individual. The other options are incorrect because they either do not use the CRM ID as the primary key, or they do not use Party Identification as the attribute type. References: Configure Identity Resolution Rulesets, Identity Resolution Match Rules, Data Cloud Identity Resolution Ruleset, Data Cloud Identity Resolution Config Input
NEW QUESTION # 45
What is the first step to set up and configure a Data Cloud instance after it has been provisioned?
- A. Connect to the Salesforce CRM org Data Cloud is provisioned in
- B. Complete the Salesforce Data Cloud "Get Started'' process
- C. Enable Customer Data Cloud Admin permission set to the relevant Salesforce CRM user
- D. Connect to the Marketing Cloud Account Data Cloud is provisioned in
Answer: A
Explanation:
This is the first step to set up and configure a Data Cloud instance after it has been provisioned. The customer needs to connect to the Salesforce CRM org that Data Cloud is provisioned in, using the Salesforce CRM connector. This will allow Data Cloud to access the CRM data and map it to the Customer 360 data model. Reference: [Salesforce CRM Connector], [Data Cloud Setup]
NEW QUESTION # 46
What is the primary purpose of Data Cloud?
- A. Providing a golden record of a customer
- B. Managing sales cycles and opportunities
- C. Integrating and unifying customer data
- D. Analyzing marketing data results
Answer: C
Explanation:
Primary Purpose of Data Cloud:
Salesforce Data Cloud's main function is to integrate and unify customer data from various sources, creating a single, comprehensive view of each customer.
Reference: Salesforce Data Cloud Overview
Benefits of Data Integration and Unification:
Golden Record: Providing a unified, accurate view of the customer.
Enhanced Analysis: Enabling better insights and analytics through comprehensive data.
Improved Customer Engagement: Facilitating personalized and consistent customer experiences across channels.
Reference: Salesforce Data Cloud Benefits Documentation
Steps for Data Integration:
Ingest data from multiple sources (CRM, marketing, service platforms).
Use data harmonization and reconciliation processes to unify data into a single profile.
Reference: Salesforce Data Integration and Unification Guide
Practical Application:
Example: A retail company integrates customer data from online purchases, in-store transactions, and customer service interactions to create a unified customer profile.
This unified data enables personalized marketing campaigns and improved customer service.
Reference: Salesforce Unified Customer Profile Case Studies
NEW QUESTION # 47
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