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質問 # 31
Which three Data Model objects do Reconciliation Rules operate across?
- A. Individual
- B. Contact Point Email
- C. Party Identification
- D. Lead
- E. Contact
正解：A、B、C
解説：
Explanation
These are the three Data Model objects that 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
質問 # 32
What is the relationship between Individual and Contact Point Objects?
- A. 1:1
- B. None of the above
- C. Many: Many
- D. 1: Many
正解：D
解説：
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. Reference: Data Model Overview
質問 # 33
A customer is trying to activate data from Data Cloud to an Amazon S3 Cloud File Storage Bucket.
Which authentication type should the consultant recommend to connect to the S3 bucket from Data Cloud?
- A. Use an S3 Access Key and Secret Key.
- B. Use an S3 Private Key Certificate.
- C. Use a JWT Token generated on S3.
- D. Use an S3 Encrypted Username and Password.
正解：A
解説：
To use the Amazon S3 Storage Connector in Data Cloud, the consultant needs to provide the S3 bucket name, region, and access key and secret key for authentication. The access key and secret key are generated by AWS and can be managed in the IAM console. The other options are not supported by the S3 Storage Connector or by Data Cloud. References: Amazon S3 Storage Connector - Salesforce, How to Use the Amazon S3 Storage Connector in Data Cloud | Salesforce Developers Blog Learn more
1blob:https://www.bing.com/fed40cd6-30db-497b-a587-44e59b9e1f0b
help.salesforce.com2blob:https://www.bing.com/ec651c64-71a9-4e79-94f1-3631d6942839 developer.salesforce.com
質問 # 34
A customer has a calculated insight about lifetime value.
What does the consultant need to be aware of if the calculated insight.
needs to be modified?
- A. Existing dimensions can be removed.
- B. New measures can be added.
- C. Existing measures can be removed.
- D. New dimensions can be added.
正解：D
解説：
A calculated insight is a multidimensional metric that is defined and calculated from data using SQL expressions. A calculated insight can include dimensions and measures. Dimensions are the fields that are used to group or filter the data, such as customer ID, product category, or region. Measures are the fields that are used to perform calculations or aggregations, such as revenue, quantity, or average order value. A calculated insight can be modified by editing the SQL expression or changing the data space. However, the consultant needs to be aware of the following limitations and considerations when modifying a calculated insight12:
Existing dimensions cannot be removed. If a dimension is removed from the SQL expression, the calculated insight will fail to run and display an error message. This is because the dimension is used to create the primary key for the calculated insight object, and removing it will cause a conflict with the existing data.
Therefore, the correct answer is B.
New dimensions can be added. If a dimension is added to the SQL expression, the calculated insight will run and create a new field for the dimension in the calculated insight object. However, the consultant should be careful not to add too many dimensions, as this can affect the performance and usability of the calculated insight.
Existing measures can be removed. If a measure is removed from the SQL expression, the calculated insight will run and delete the field for the measure from the calculated insight object. However, the consultant should be aware that removing a measure can affect the existing segments or activations that use the calculated insight.
New measures can be added. If a measure is added to the SQL expression, the calculated insight will run and create a new field for the measure in the calculated insight object. However, the consultant should be careful not to add too many measures, as this can affect the performance and usability of the calculated insight. References: Calculated Insights, Calculated Insights in a Data Space.
質問 # 35
A customer has a custom 'Customer_Email_c' object related to the standard 'Contact' object in Salesforce CRM. To which data entity is this mapped?
- A. Contact Point Email
- B. Individual
- C. Contact
- D. Custom 'Customer_Email' Object
正解：A
解説：
The custom 'Customer_Email_c' object related to the standard 'Contact' object in Salesforce CRM should be mapped to the Contact Point Email entity in the Customer 360 data model. This entity represents an email address that is associated with an individual or an account contact. Reference: [Contact Point Email Entity]
質問 # 36
Cumulus Financial created a segment called High Investment Balance Customers. This is a foundational segment that includes several segmentation criteria the marketing team should consistently use.
Which feature should the consultant suggest the marketing team use to ensure this consistency when creating future, more refined segments?
- A. Create a High Investment Balance calculated insight.
- B. Create new segments by cloning High Investment Balance Customers.
- C. Create new segments using nested segments.
- D. Package High Investment Balance Customers in a data kit.
正解：C
解説：
Nested segments are segments that include or exclude one or more existing segments. They allow the marketing team to reuse filters and maintain consistency in their data by using an existing segment to build a new one. For example, the marketing team can create a nested segment that includes High Investment Balance Customers and excludes customers who have opted out of email marketing. This way, they can leverage the foundational segment and apply additional criteria without duplicating the rules. The other options are not the best features to ensure consistency because:
B). A calculated insight is a data object that performs calculations on data lake objects or CRM data and returns a result. It is not a segment and cannot be used for activation or personalization.
C). A data kit is a bundle of packageable metadata that can be exported and imported across Data Cloud orgs.
It is not a feature for creating segments, but rather for sharing components.
D). Cloning a segment creates a copy of the segment with the same rules and filters. It does not allow the marketing team to add or remove criteria from the original segment, and it may create confusion and redundancy. References: Create a Nested Segment - Salesforce, Save Time with Nested Segments (Generally Available) - Salesforce, Calculated Insights - Salesforce, Create and Publish a Data Kit Unit | Salesforce Trailhead, Create a Segment in Data Cloud - Salesforce
質問 # 37
A consultant at Northern Trail Outfitters is attempting to ingest a field from the Contact object in Salesforce CRM that contains both yyyy-mm-dd and yyyy-mm-dd hh:mm:ss values. The target field is set to Date datatype.
Which statement is true in this situation?
- A. The target field will throw an error and store null values.
- B. The target field will only hold the date part and ignore the time part.
- C. The target field will be able to hold both types of values.
- D. The target field will only hold the time part and ignore the date part.
正解：B
解説：
Field Data Types: Salesforce CRM's Contact object fields can store data in various formats. When ingesting data into Salesforce Data Cloud, the target field's data type determines how the data is processed and stored.
Date Data Type: If the target field in Data Cloud is set to Date data type, it is designed to store date values without time information.
Mixed Format Values: When ingesting a field containing both date (yyyy-mm-dd) and datetime (yyyy-mm-dd hh:mm:ss) values into a Date data type field:
The Date field will extract and store only the date part (yyyy-mm-dd), ignoring the time part (hh:mm:ss).
Result:
Date Values: yyyy-mm-dd values are stored as-is.
Datetime Values: yyyy-mm-dd hh:mm:ss values are truncated to yyyy-mm-dd, and the time component is ignored.
References:
Salesforce Data Cloud Field Mapping
Salesforce Data Types
質問 # 38
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. Use Ingestion API to request deletion of the customer's information
- C. Manually delete customer and related records using the Profile Explorer
- D. Utilize the Data Rights Subject Request tool 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. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_consent_api.htm&type=5
質問 # 39
How does an administrator increase the consolidation rate for Identity Resolution?
- A. Change all reconciliation rules to Source Sequence
- B. Add more matching rules to broaden the search for matches
- C. Reduce the number of matching rules
- D. Change the Ignore Empty Value option
正解：C
解説：
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
質問 # 40
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
正解：D
解説：
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
質問 # 41
What is a DMO called if it inherits the name, shape, and semantics of the reference object?
- A. Standard DMO
- B. Data Lake Object (DLO)
- C. Custom DMO
- D. Data Source Object (DSO)
正解：A
解説：
Explanation
A Data Model Object (DMO) that inherits the name, shape, and semantics of the reference object is called a Standard DMO. A reference object is a predefined object in the Data Cloud data model that represents a common entity or concept, such as Individual, Order, or Product. A Standard DMO is a copy of a reference object that you can use to ingest data from a specific source without modifying the original reference object. A Standard DMO has the same fieldsand relationships as the reference object, but you can add custom fields or relationships to it if needed. References: Data Model Objects
質問 # 42
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. Report
- B. Activation alert
- C. Flow
- D. Dashboard
正解：B
解説：
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
質問 # 43
Which option allows an organization an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis?
- A. Email Studio Starter Data Bundle
- B. Marketing Cloud Connect API
- C. Automation Studio and Profile API
- D. Profile attributes are not yet supported
正解：C
解説：
This option allows an organization an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis. You can use Automation Studio to export profile attributes to a data extension and use the Profile API to send them to Data Cloud. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_marketing_cloud_data_foundation.htm&typ
質問 # 44
Cloud Kicks wants to be able to build a segment of customers who have visited its website within the previous 7 days.
Which filter operator on the Engagement Date field fits this use case?
- A. Is Between
- B. Last Number of Days
- C. Next Number of Days
- D. Greater than Last Number of
正解：B
解説：
The filter operator Last Number of Days allows you to filter on date fields using a relative date range that specifies the number of days before today. For example, you can use this operator to filter on customers who have visited your website in the last 7 days, or the last 30 days, or any number of days you want. This operator is useful for creating dynamic segments that update automatically based on the current date12. References:
Relative Date Filter Reference
Create Filtered Segments
質問 # 45
What is a key functionality of Data Cloud?
- A. To help users build a heat map using their data
- B. To build insights on unified profiles
- C. To create a master data management (MUM) strategy
- D. To give a persistent ID for unified profiles
正解：B
解説：
A key functionality of Salesforce Data Cloud is its ability to build insights on unified profiles . Here's why this is the correct answer:
Understanding the Functionality of Data Cloud
Salesforce Data Cloud is designed to aggregate, unify, and analyze customer data from multiple sources.
Its primary purpose is to provide actionable insights that drive personalized customer experiences.
Why Build Insights on Unified Profiles?
Unified Profiles :
Data Cloud creates a unified profile by combining data from various sources (e.g., CRM, Marketing Cloud, external systems).
This single view of the customer enables organizations to understand behaviors, preferences, and interactions across touchpoints.
Building Insights :
Insights derived from unified profiles help organizations make data-driven decisions.
Examples include identifying high-value customers, predicting churn, and personalizing marketing campaigns.
Other Options Are Less Relevant :
A). To create a master data management (MDM) strategy : While Data Cloud supports data unification, it is not primarily an MDM tool.
B). To give a persistent ID for unified profiles : Persistent IDs are a feature of unified profiles but not the core functionality of Data Cloud.
D). To help users build a heat map using their data : Heat maps are a visualization tool, not a core functionality of Data Cloud.
Steps to Build Insights on Unified Profiles
Step 1: Ingest Data
Bring in customer data from multiple sources into Data Cloud.
Step 2: Create Unified Profiles
Use identity resolution to merge related records into a single unified profile.
Step 3: Analyze Data
Use tools like calculated insights, segments, and dashboards to derive actionable insights.
Step 4: Activate Insights
Use the insights to personalize customer experiences in downstream systems (e.g., Marketing Cloud, Sales Cloud).
Conclusion
The key functionality of Salesforce Data Cloud is to build insights on unified profiles , enabling organizations to deliver personalized and impactful customer experiences.
質問 # 46
What does it mean to build a trust-based, first-party data asset?
- A. To ensure opt-in consents are collected for all email marketing as required by law
- B. To obtain competitive data from reliable sources through interviews, surveys, and polls
- C. To provide transparency and security for data gathered from individuals who provide consentfor its use and receive value in exchange
- D. To provide trusted, first-party data in the Data Cloud Marketplace that follows all complianceregulations
正解：C
解説：
Building a trust-based, first-party data asset means collecting, managing, and activating data from your own customers and prospects in a way that respects their privacy and preferences. It also means providing them with clear and honest information about how you use their data, what benefits they can expect from sharing their data, and how they can control their data. By doing so, you can create a mutually beneficial relationship with your customers, where they trust you to use their data responsibly and ethically, and you can deliver more relevant and personalized experiences to them. A trust-based, first-party data asset can help you improve customer loyalty, retention, and growth, as well as comply with data protection regulations and standards. References: Use first-party data for a powerful digital experience, Why first-party data is the key to data privacy, Build a first-party data strategy
質問 # 47
Which two features are impacted by the timezone setting in the org Data Cloud is provisioned in?
- A. Segment Schedule
- B. Activation Schedule
- C. Ingestion Schedule
- D. Identity Resolution
正解：A、B
解説：
These two features are impacted by the timezone setting in the org DataCloud 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://h
質問 # 48
A consultant at Northern Trail Outfitters is implementing Data Cloud and creating an activation target for their segment.
For activation membership, which object should the consultant choose?
- A. Data Lake Object
- B. Data Activation Object
- C. Data Segmentation Object
- D. Data Model Object
正解：C
解説：
In Salesforce Data Cloud, activation membership refers to the individuals or records that qualify for a specific segment and are eligible to be activated (e.g., sent to external systems like Marketing Cloud). Here's the breakdown:
Data Segmentation Object (Option C):
Segments in Data Cloud are stored as Data Segmentation Objects, which include metadata about the segment (e.g., logic, filters) and its membership (the records/individuals that meet the criteria).
When configuring an activation target, you select the segment (and its membership) stored in the Data Segmentation Object to send to downstream systems.
Salesforce's official documentation confirms that segments and their memberships are managed through the Data Segmentation Object (Source: Salesforce Data Cloud Implementation Guide, "Segmentation and Activation").
Why Other Options Are Incorrect:
Data Model Object (A): Represents the structured data model (e.g., standard or custom objects like Individual or Account) but does not store segment membership.
Data Activation Object (B): A distractor; no such standard object exists in Data Cloud. Activation is a process that uses the Data Segmentation Object.
Data Lake Object (D): Stores raw, unprocessed data ingested into Data Cloud and is not directly used for activation.
Conclusion: For activation membership, the consultant must select the Data Segmentation Object to reference the segment's qualified members.
質問 # 49
What is the correct formula to display the value of the raw data column of"RetailPrice' plus an additional 5 percent?
- A. SELECT(['RetailPrice']*1.05)
- B. SELECT(['retailprice']*1.05)
- C. sourceField['retailprice']*1.05
- D. sourceField['RetailPrice1*l .05
正解：C
解説：
This is the correct formula to display the value of the raw datacolumn of "RetailPrice" plus an additional 5 percent. The formula uses the sourceField function to access the raw data column, and then multiplies it by
1.05 to add 5 percent. The formula is case-sensitive, so the column name must match exactly with the raw data column name. References: [Formula Editor], [sourceField Function]
質問 # 50
Which feature can integrate in real time with Salesforce CRM?
- A. CRM Starter Bundle
- B. Data Actions
- C. Identity Resolution
- D. Data Model Triggers
正解：B
解説：
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.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_actions.htm&type=5
質問 # 51
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. Calculated Insight
- B. Segment
- C. Streaming Insight
- D. Streaming Data Transformation
正解：C
解説：
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-time streams using window functions and aggregation functions. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm&type=5
質問 # 52
Which of the followingcannotbe used in Segmentation? (Choose 2)
- A. Aggregate Functions
- B. Numeric Measures
- C. Date Time Measures
- D. Text Measures
正解：C、D
解説：
Explanation
Text Measures and Date Time Measures cannot be used in Segmentation. Segmentation is the process of creating filtered audience segments based on calculated insights. Calculated insights are metrics that define and calculate multidimensional measures on your data. Only Numeric Measures can be used as calculated insights, because they can be aggregated using functions such as SUM, AVG, MIN, MAX, or COUNT. Text Measures and Date Time Measures 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. References: Measures and Dimensions
質問 # 53
How do the Data streams that use the Marketing Cloud Connector refresh data?
- A. None of the above
- B. Manually refreshed by CDP Admin
- C. APIs are used for refresh
- D. Marketing Cloud's Automation Studio handles this process.
正解：D
解説：
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. Reference: Marketing Cloud Connector
質問 # 54
Which data model subject area should be used for any Organization, Individual, or Member in the Customer
360 data model?
- A. Party
- B. Individual
- C. Membership
- D. Global Account
正解：A
解説：
The party subject area should be used for any organization, individual, or member in the Customer 360 data model. It includes information such as name, address, email, phone, and loyalty membership. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_party.htm&type=5
質問 # 55
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