無料でゲット!2025に更新されたSalesforce Salesforce-Data-Cloud試験問題と解答 [Q34-Q59]

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無料でゲット!2025年最新のに更新されたSalesforce Salesforce-Data-Cloud試験問題と解答

Salesforce-Data-Cloud問題集PDFとテストエンジン試験問題

質問 # 34
How can attribute names be modified to match a naming convention in Cloud File Storage target?

  • A. Update field names in the data model
  • B. Set preferred attribute names when configuring activation
  • C. Update attribute names in the data stream configuration
  • D. Use a formula field to update the field name in an activation

正解:A

解説:
Explanation
You can modify the attribute names in the data model by editing the field label or API name of the corresponding field. This will change how the attribute name appears in the Cloud File Storage target.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_model.htm&type=5


質問 # 35
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. Dashboard
  • B. Segment
  • C. Calculated Insight
  • D. Report|

正解:B、C

解説:
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


質問 # 36
Which authentication type is supported for a Cloud File Storage activation target?

  • A. Using JWT token
  • B. Using encrypted username and password
  • C. Using private key certificate
  • D. Using access and secret keys

正解:D

解説:
To create a Cloud File Storage activation target, you need to provide access and secret keys for authentication5. These keys are generated by your cloud storage provider, such as Amazon S3 or Google Cloud Storage.


質問 # 37
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. Nested segments
  • B. Streaming data transformations
  • C. Metrics on metrics
  • D. Flow orchestration

正解:B

解説:
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


質問 # 38
A customer wants to create segments of users based on their Customer Lifetime Value. The source data that will be brought into the Data Cloud does not include that KPI. What process should be followed to achieve this outcome?

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

正解:A

解説:
To create segments of users based on their Customer Lifetime Value, the customer needs to first ingest the source data into Data Cloud, then map the data to the Customer 360 data model, then create a calculated insight using the formula editor, and finally use the calculated insight in segmentation. Reference: [Data Ingestion], [Data Mapping], [Calculated Insights], [Segmentation]


質問 # 39
What does it mean to build a trust-based, first-party data asset?

  • A. Ensure opt-in consents are collected for all email marketing as required by law
  • B. Provide transparency and security for data gathered from individuals who provide consent for its use and receive value in exchange
  • C. Obtain competitive data from reliable sources through interviews, surveys, and polls
  • D. Pass the trust-based compliance rules as a first-party data asset is added to Data Cloud

正解:B

解説:
Explanation
This is what it means to build a trust-based, first-party data asset. It involves respecting the privacy and preferences of individuals who share their data with an organization and ensuring that the data is used in a responsible and ethical way. References:https://www.salesforce.com/products/genie/overview/


質問 # 40
Which three components of Data Cloud can be bundled within a Data Kit?

  • A. Data Streams
  • B. Data Models
  • C. Calculated Insights
  • D. Segments
  • E. Identity Resolution Rulesets

正解:A、B、D

解説:
These three components of Data Cloud can be bundled within a Data Kit. A Data Kit is a package that contains data model objects, segments, and data streams that can be installed in another Data Cloud org.References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_kit.htm&type=5


質問 # 41
How many calculated insights can be created per tenant?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

正解:A

解説:
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


質問 # 42
Which two statements are true about using consent API and exercising right to be forgotten?

  • A. Data Deletion requests are submitted for Individual profiles
  • B. Data Deletion requests are processed within 1 hour
  • C. Data deletion requests submitted to DataCloud are passed to all connected Salesforce Clouds
  • D. Data Deletion requests are reprocessed at 30, 60, and 90 days

正解:A、D

解説:
These two statements are true about using consent API and exercising right to be forgotten. Data deletion requests are reprocessed at regular intervals to ensure that any new data related tothe individual is deleted.
Data deletion requests are submitted for individual profiles that represent unique identities in Data Cloud.References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_consent_api.htm&type=5


質問 # 43
A segment fails to refresh with the error "Segment references too many Data Lake Objects (DLOs)". What are two remedies for this issue?

  • A. Use Calculated Insights in order to reduce the complexity of the segmentation query
  • B. Refine segmentation criteria tolimit up to 5 custom DMOs
  • C. Split the segment into smaller segments
  • D. Space out the segment schedules to reduce Data Lake Object load

正解:C、D

解説:
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. References:https://help.salesforce.com/s/articleView?


質問 # 44
Which three features can be used to validate the data in the unified profile object?

  • A. Data Actions
  • B. Query API
  • C. Profile Explorer
  • D. Identity Reconciliation
  • E. Data Explorer

正解:B、C、E

解説:
These three features can be used to validate the data in the unified profile object. Data Explorer allows you to view the ingested data from different sources and how it is mapped to the unified profile object. Query API allows you to query the unified profile object using SOQL or SQL queries. Profile Explorer allows you to view the unified profile records and their attributes. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_explorer.htm&type=5 https://help.salesforce.com/s/articleView?id=sf.c360_a_query_api.htm&type=5 https://help.salesforce.com/s/articleView?id=sf.c360_a_profile_explorer.htm&type=5


質問 # 45
Which type of measures with aggregate functions are supported?

  • A. Text
  • B. Numeric
  • C. Date
  • D. Boolean

正解:B

解説:
Numeric is the only type of measures that support aggregate functions. Measures are numeric fields that can be aggregated using functions such as SUM, AVG, MIN, MAX, or COUNT. For example, you can use a measure to calculate the total revenue or the average order value from your data. Date, Text, and Boolean are not types of measures, but types of dimensions. Dimensions are fields that can be used to group or filter data, but not to perform calculations. Reference: Measures and Dimensions


質問 # 46
What is the maximum limit of the number of records for Full Refresh Extract Method?

  • A. 50 million
  • B. No hard limit
  • C. 40 million
  • D. 10 million

正解:D

解説:
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


質問 # 47
Which two objects orfields are supported for ingestion using the Salesforce CRM connector?

  • A. Custom Objects
  • B. Standard Objects
  • C. Standard Big Objects
  • D. Custom Big Objects

正解:A、B

解説:
These two objects or fields are supported for ingestion using the Salesforce CRM connector. You can select standard or custom objects from your Salesforce CRM org and map them to Data Cloud data model objects.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_salesforce_crm.htm&type=5


質問 # 48
Cloud Kicks has received a Request to be Forgotten by a customer. In which two ways can Data Cloud honor this request?

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

正解:C、D

解説:
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. Reference: 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


質問 # 49
What is the first thing a business stakeholder should focus on when considering a Data Cloud implementation?

  • A. Obtain cross-organizational buy-in
  • B. Review consent and privacy management policies
  • C. Identify data sources
  • D. Identify activation targets

正解:A

解説:
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. References:
https://trailhead.salesforce.com/content/learn/modules/customer-data-platform-basics/get-started-with-customer-


質問 # 50
What can be customized in the Data Cloud canonical model?

  • A. Objects, Fields, and Relationships
  • B. Fields
  • C. Objects
  • D. Objects and Fields

正解:A

解説:
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


質問 # 51
Which three features can be used to validate the data in the unified profile object?

  • A. Data Actions
  • B. Query API
  • C. Profile Explorer
  • D. Identity Reconciliation
  • E. Data Explorer

正解:B、C、E

解説:
Explanation
These three features can be used to validate the data in the unified profile object. Data Explorer allows you to view the ingested data from different sources and how it is mapped to the unified profile object. Query API allows you to query the unified profile object using SOQL or SQL queries. Profile Explorer allows you to view the unified profile records and their attributes. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_explorer.htm&type=5
https://help.salesforce.com/s/articleView?id=sf.c360_a_query_api.htm&type=5https://help.salesforce.com/s/artic


質問 # 52
Which data sources are available from Marketing Cloud as a starter bundle?

  • A. Email, Cloud Pages, Einstein Web & Email Recommendations
  • B. Email, Mobile Connect, and Einstein Engagement Scoring
  • C. Email, MobileConnect, MobilePush and GroupConnect
  • D. Email, MobileConnect and MobilePush

正解:D

解説:
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. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_marketing_cloud_data_foundation.htm&type=5


質問 # 53
Which two applications automatically create activation targets at the time the application is connected to Data Cloud?

  • A. B2C Commerce
  • B. Amazon S3
  • C. Personalization powered by Interaction Studio
  • D. Marketing Cloud Engagement

正解:A、C

解説:
These two applications automatically create activation targets when they are connected to Data Cloud. You can 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=5


質問 # 54
How does Identity Resolution select attributes for Unified Individuals when there is conflicting information in the Data Model?

  • A. Leverage Match Rules
  • B. Create additional Contact Points
  • C. Create additional Rule Sets
  • D. Leverage Reconciliation Rules

正解:D

解説:
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


質問 # 55
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. Global Picklists
  • B. Data Harmonization
  • C. Transformation Formulas
  • D. Value Suggestion

正解:D

解説:
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


質問 # 56
A segment fails to refresh with the error "Segment references too many Data Lake Objects (DLOs)". What are two remedies for this issue?

  • A. Use Calculated Insights in order to reduce the complexity of the segmentation query
  • B. Refine segmentation criteria to limit up to 5 custom DMOs
  • C. Split the segment into smaller segments
  • D. Space out the segment schedules to reduce Data Lake Object load

正解:C、D

解説:
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?


質問 # 57
A customer has requested that their personal data be deleted. Which action should be performed to accommodate this request in Data Cloud?

  • A. Use Consent API to request deletion of the customer's information
  • B. Utilize the Data Rights Subject Request tool to request deletion of the customer's information
  • C. Manually delete customer and related records using the Profile Explorer
  • D. Use Ingestion API to request deletion of the customer's information

正解:A

解説:
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. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_consent_api.htm&type=5


質問 # 58
Which two statements about Data Cloud's Web and Mobile App connector are true?

  • A. Tenant Specific Endpoint is auto-generated in Data Cloud when setting upa Mobile or Web app connection
  • B. Mobile and Web SDK schema can be updated to delete an existing field
  • C. Data Cloud administrators can see the status of a Web or Mobile connector app on the app details page
  • D. Any Data Streams associated with Web or Mobile connector app will be automatically deleted upon deleting the app from Data Cloud Setup

正解:A、C

解説:
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 isgenerated for each app and used to send data to Data Cloud from theweb or mobile SDK.References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_web_mobile_app_connector.htm&type=5


質問 # 59
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検証済みのSalesforce-Data-Cloudテスト問題集と解答で正確な94問題と解答あります:https://www.jpntest.com/shiken/Salesforce-Data-Cloud-mondaishu

最新をゲットせよ!Salesforce-Data-Cloud認定有効な試験問題集解答:https://drive.google.com/open?id=1Vk4vVQhF3mCRzEBEDQyZkPQBmCIdqO9a

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