[2025年05月09日] 最新更新されたのはData-Cloud-Consultant試験問題2025年更新
無料更新されたSalesforce Data-Cloud-Consultantテストエンジン問題には164問題と解答
Salesforce Data-Cloud-Consultant 認定試験の出題範囲：
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質問 # 30
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. Creation Date
- B. Escalation Date
- C. Resolution Date
- D. Last Modified Date
正解：D
解説：
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
質問 # 31
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. Increase the number of matching rules.
- C. Include additional attributes in the existing matching rules.
- D. Change reconciliation rules to Most Occurring.
正解：B
質問 # 32
A customer needs to integrate in real time with Salesforce CRM.
Which feature accomplishes this requirement?
- A. Streaming transforms
- B. Sales and Service bundle
- C. Data model triggers
- D. Data actions and Lightning web components
正解：A
解説：
The correct answer is A. Streaming transforms. Streaming transforms are a feature of Data Cloud that allows real-time data integration with Salesforce CRM. Streaming transforms use the Data Cloud Streaming API to synchronize micro-batches of updates between the CRM data source and Data Cloud in near-real time1. Streaming transforms enable Data Cloud to have the most current and accurate CRM data for segmentation and activation2.
The other options are incorrect for the following reasons:
* B. Data model triggers. Data model triggers are a feature of Data Cloud that allows custom logic to be executed when data model objects are created, updated, or deleted3. Data model triggers do not integrate data with Salesforce CRM, but rather manipulate data within Data Cloud.
* C. Sales and Service bundle. Sales and Service bundle is a feature of Data Cloud that allows pre-built data streams, data model objects, segments, and activations for Sales Cloud and Service Cloud data sources4. Sales and Service bundle does not integrate data in real time with Salesforce CRM, but rather ingests data at scheduled intervals.
* D. Data actions and Lightning web components. Data actions and Lightning web components are features of Data Cloud that allow custom user interfaces and workflows to be built and embedded in Salesforce applications5. Data actions and Lightning web components do not integrate data with Salesforce CRM, but rather display and interact with data within Salesforce applications.
References:
* 1: Load Data into Data Cloud
* 2: [Data Streams in Data Cloud]
* 3: [Data Model Triggers in Data Cloud] unit on Trailhead
* 4: [Sales and Service Bundle in Data Cloud] unit on Trailhead
* 5: [Data Actions and Lightning Web Components in Data Cloud] unit on Trailhead
* : [Data Model in Data Cloud] unit on Trailhead
* : [Create a Data Model Object] article on Salesforce Help
* : [Data Sources in Data Cloud] unit on Trailhead
* : [Connect and Ingest Data in Data Cloud] article on Salesforce Help
* : [Data Spaces in Data Cloud] unit on Trailhead
* : [Create a Data Space] article on Salesforce Help
* : [Segments in Data Cloud] unit on Trailhead
* : [Create a Segment] article on Salesforce Help
* : [Activations in Data Cloud] unit on Trailhead
* : [Create an Activation] article on Salesforce Help
質問 # 33
A company wants to test its marketing campaigns with different target populations.
What should the consultant adjust in the Segment Canvas interface to get different populations?
- A. Direct attributes and related attributes
- B. Population filters and direct attributes
- C. Segmentation filters, direct attributions, and data sources
- D. Direct attributes, related attributes, and population filters
正解：D
解説：
Segmentation in Salesforce Data Cloud:
* The Segment Canvas interface is used to define and adjust target populations for marketing campaigns.
質問 # 34
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. Unified Profiles
- B. Data Harmonization
- C. Data Marketplace
- D. Master Data Management
正解：A、B
解説：
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 providea 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]
質問 # 35
A consultant needs to package Data Cloud components from one
organization to another.
Which two Data Cloud components should the consultant include in a
data kit to achieve this goal?
Choose 2 answers
- A. Identity resolution rulesets
- B. Data model objects
- C. Segments
- D. Calculated insights
正解：A、B
解説：
To package Data Cloud components from one organization to another, the consultant should include the following components in a data kit:
* Data model objects: These are the custom objects that define the data model for Data Cloud, such as Individual, Segment, Activity, etc. They store the data ingested from various sources and enable the creation of unified profiles and segments1.
* Identity resolution rulesets: These are the rules that determine how data from different sources are matched and merged to create unified profiles. They specify the criteria, logic, and priority for identity resolution2. References:
* 1: Data Model Objects in Data Cloud
* 2: Identity Resolution Rulesets in Data Cloud
質問 # 36
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. Calculated insight
- B. Streaming data transform
- C. Batch bata transform
- D. Streaming insight
正解：D
解説：
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.
質問 # 37
A customer has multiple team members who create segment audiences that work in different time zones. One team member works at the home office in the Pacific time zone,that matches the org Time Zonesetting.
Another team member works remotely in the Eastern time zone.
Which user will see their home time zone in the segment and activation schedule areas?
- A. The team member in the Eastern time zone.
- B. Both team members; Data Cloud adjusts the segment and activation schedules to the time zone of the logged-in user
- C. Neither team member; Data Cloud showsall schedules in GMT.
- D. The team member in the Pacific time zone.
正解：B
解説：
Explanation
The correct answer is D, both team members; Data Cloud adjusts the segment and activation schedules to the time zone of the logged-in user. Data Cloud uses the time zone settings of the logged-in user to display the segment and activation schedules. This means that each user will see the schedules in their own home time zone, regardless of the org time zone setting or the location of other team members. This feature helps users to avoid confusion and errors when scheduling segments and activations across different time zones. The other options are incorrect because they do not reflect how Data Cloud handles time zones. The team member in the Pacific time zone will not see the same time zone as the org time zone setting, unless their personal time zone setting matches the org time zone setting. The team member in the Eastern time zone will not see the schedules in the org time zone setting, unless their personal time zone setting matches the org time zone setting. Data Cloud does not show all schedules in GMT, but rather in the user's local time zone. References:
* Data Cloud Time Zones
* Change default time zones for Users and the organization
* Change your time zone settings in Salesforce, Google & Outlook
* DateTime field and Time Zone Settings in Salesforce
質問 # 38
A retailer wants to unify profiles using Loyalty ID which is different than the unique ID of their customers.
Which object should the consultant use in identity resolution to perform exact match rules on the Loyalty ID?
- A. Individual object
- B. Contact Identification object
- C. Party Identification object
- D. Loyalty Identification object
正解：C
解説：
The Party Identification object is the correct object to use in identity resolution to perform exact match rules on the Loyalty ID. The Party Identification object is a child object of the Individual object that stores different types of identifiers for an individual, such as email, phone, loyalty ID, social media handle, etc. Each identifier has a type, a value, and a source. The consultant can use the Party Identification object to create a match rule that compares the Loyalty ID type and value across different sources and links the corresponding individuals.
The other options are not correct objects to use in identity resolution to perform exact match rules on the Loyalty ID. The Loyalty Identification object does not exist in Data Cloud. The Individual object is the parent object that represents a unified profile of an individual, but it does not store the Loyalty ID directly. The Contact Identification object is a child object of the Contact object that stores identifiers for a contact, such as email, phone, etc., but it does not store the Loyalty ID.
References:
* Data Modeling Requirements for Identity Resolution
* Identity Resolution in a Data Space
* Configure Identity Resolution Rulesets
* Map Required Objects
* Data and Identity in Data Cloud
質問 # 39
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 the most recently updated data source
- B. Includes data from sources where the data is most frequently occurring
- C. Sets the priority of specific data sources when building attributes in a unified profile, such as a first or last name
- D. Identifies which individual records should be merged into a unified profile by setting a priority for specific data sources
正解：C
解説：
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
質問 # 40
Where is value suggestion for attributes in segmentation enabled when creating the DMO?
- A. Data Mapping
- B. Data Stream Setup
- C. Data Transformation
- D. Segment Setup
正解：D
解説：
Value suggestion for attributes in segmentation is a feature that allows you to see and select the possible values for a text field when creating segment filters. You can enable or disable this feature for each data model object (DMO) field in the DMO record home. Value suggestion can be enabled for up to 500 attributes for your entire org. It can take up to 24 hours for suggested values to appear. To use value suggestion when creating segment filters, you need to drag the attribute onto the canvas and start typing in the Value field for an attribute. You can also select multiple values for some operators. Value suggestion is not available for attributes with more than 255 characters or for relationships that are one-to-many (1:N). Reference: Use Value Suggestions in Segmentation, Considerations for Selecting Related Attributes
質問 # 41
A customer notices that their consolidation rate is low across their account unification. They have mapped Account to the Individual and Contact Point Email DMOs.
What should they do to increase their consolidation rate?
- A. Increase the number of matching rules.
- B. Update their account address details in the data source
- C. Disable the individual identity ruleset.
- D. Change reconciliation rules to Most Occurring.
正解：A
解説：
Consolidation Rate: The consolidation rate in Salesforce Data Cloud refers to the effectiveness of unifying records into a single profile. A low consolidation rate indicates that many records are not being successfully unified.
Matching Rules: Matching rules are critical in the identity resolution process. They define the criteria for identifying and merging duplicate records.
Solution:
* Increase Matching Rules: Adding more matching rules improves the system's ability to identify duplicate records. This includes matching on additional fields or using more sophisticated matching algorithms.
* Steps:
* Access the Identity Resolution settings in Data Cloud.
* Review the current matching rules.
* Add new rules that consider more fields such as phone number, address, or other unique identifiers.
Benefits:
* Improved Unification: Higher accuracy in matching and merging records, leading to a higher consolidation rate.
* Comprehensive Profiles: Enhanced customer profiles with consolidated data from multiple sources.
References:
* Salesforce Data Cloud Identity Resolution
* Salesforce Help: Matching Rules
質問 # 42
Which configuration supports separate Amazon S3 buckets for data ingestion and activation?
- A. Dedicated S3 data sources in activation setup
- B. Dedicated S3 data sources in Data Cloud setup
- C. Multiple S3 connectors in Data Cloud setup
- D. Separate user credentials for data stream and activation target
正解：B
解説：
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. Reference: Data Sources Overview, Amazon S3 Storage Connector, Data Spaces Overview, Data Streams Overview, Data Activation Overview
質問 # 43
Which data model subject area should be used for any Organization, Individual, or Member in the Customer 360 data model?
- A. Global Account
- B. Party
- C. Engagement
- D. Membership
正解：B
解説：
The data model subject area that should be used for any Organization, Individual, or Member in the Customer 360 data model is the Party subject area. The Party subject area defines the entities that are involved in any business transaction or relationship, such as customers, prospects, partners, suppliers, etc. The Party subject area contains the following data model objects (DMOs):
Organization: A DMO that represents a legal entity or a business unit, such as a company, a department, a branch, etc.
Individual: A DMO that represents a person, such as a customer, a contact, a user, etc.
Member: A DMO that represents the relationship between an individual and an organization, such as an employee, a customer, a partner, etc.
The other options are not data model subject areas that should be used for any Organization, Individual, or Member in the Customer 360 data model. The Engagement subject area defines the actions that people take, such as clicks, views, purchases, etc. The Membership subject area defines the associations that people have with groups, such as loyalty programs, clubs, communities, etc. The Global Account subject area defines the hierarchical relationships between organizations, such as parent-child, subsidiary, etc.
Reference:
Data Model Subject Areas
Party Subject Area
Customer 360 Data Model
質問 # 44
Northern Trail Outfitters unifies individuals in its Data Cloud instance.
Which three features ca e consultant use to validate the data on a unified profile?
Choose 3 answers
- A. Query APL
- B. Data Explorer
- C. Data Actions
- D. Profile Explorer
- E. Identity Resolution
正解：B、D、E
解説：
To validate the data on a unified profile, the consultant can use the following features:
Identity Resolution: This feature allows the consultant to view and edit the identity resolution rulesets that determine how individuals are unified from different data sources1.
Data Explorer: This feature allows the consultant to browse and filter the unified profiles and view their attributes, segments, and activities2.
Profile Explorer: This feature allows the consultant to drill down into a specific unified profile and view its details, such as source records, identity graph, calculated insights, and data actions3. Reference:
1: Identity Resolution in Data Cloud
2: Data Explorer in Data Cloud
3: Profile Explorer in Data Cloud
質問 # 45
Northern Trail Outfitters unifies individuals in its Data Cloud instance.
Which threefeatures ca e consultant use to validate the data on a unified profile?
Choose 3 answers
- A. Query APL
- B. Data Explorer
- C. Data Actions
- D. Profile Explorer
- E. Identity Resolution
正解：B、D、E
解説：
Explanation
To validate the data on a unified profile, the consultant can use the following features:
* Identity Resolution: This feature allows the consultant to view and edit the identity resolution rulesets that determine how individuals are unified from different data sources1.
* Data Explorer: This feature allows the consultant to browse and filter the unified profiles and view their attributes, segments, and activities2.
* Profile Explorer: This feature allows the consultant to drill down into a specific unified profile and view its details, such as source records, identity graph, calculated insights, and data actions3. References:
* 1: Identity Resolution in Data Cloud
* 2: Data Explorer in Data Cloud
* 3: Profile Explorer in Data Cloud
質問 # 46
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 activations are referencing segments that segment on profile data rather than engagement data.
- B. The related engagement events occurred within the last 90 days.
- C. The correct path is selected for the related attributes.
- D. The activated profiles have a Unified Contact Point.
正解：B、C
解説：
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
質問 # 47
A consultant needs to publish segment data to the Audience DMO that can be retrieved using the Query APIs.
When creating the activation target, which type of target should the consultant select?
- A. External Activation Target
- B. Data Cloud
- C. Marketing Cloud Personalization
- D. Marketing Cloud
正解：A
解説：
Purpose of Activation Targets:
* Activation targets define where and how segment data is published for use in various applications and platforms.
質問 # 48
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