Salesforce-Data-Cloud無料認定試験材料はこちらの94問題 [Q40-Q64]

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Salesforce-Data-Cloud無料認定試験材料はこちらの94問題

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質問 # 40
What are the two minimum requirements needed when using the Visual Insights Builder to create a Calculated Insight?

  • A. At least one dimension
  • B. WHERE clause is required
  • C. At least one measure
  • D. At least two objects to join

正解:A、C

解説:
These two requirements are needed when using the Visual Insights Builder to create a Calculated Insight. A dimension is an attribute that can be used to group or filter data, such as product category or customer segment. A measure is an attribute that can be used to perform calculations, such as revenue or quantity. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_calculated_insights_create.htm&type=5


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

  • A. 0
  • B. 1
  • C. 2
  • D. 3

正解:C

解説:
Explanation
The maximum number of calculated insights that can be created per tenant is 50. A calculated insight is a metric that defines and calculates a multidimensional measure on your data. You can use calculated insights to create segments and analyze your data in Data Cloud. You can also use calculated insights to create dashboards and reports in Tableau CRM. References: Calculated Insights


質問 # 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 of any red' product and also purchased at least 1 pair of shoes'
  • 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 'red shoes' as a single line item in a purchase
  • D. Individuals who made a purchase of at least 1 of only 'red shoes' and nothing else

正解:A

解説:
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.


質問 # 43
Which data model subject area defines the revenue or quantity for an opportunity by product family?

  • A. Product
  • B. Sales Order
  • C. Engagement
  • D. Party

正解:B

解説:
The sales order subject area defines the revenue or quantity for an opportunity by product family. It also includes information about the opportunity stage, close date, and owner. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_sales_order.htm&type=5


質問 # 44
What are the two distinct phases of data model management in Data Cloud?

  • A. Data Ingestion
  • B. Data Activation
  • C. Data Actions
  • D. Data Modeling

正解:A、D

解説:
Explanation
These two phases are distinct phases of data model management in Data Cloud. Data ingestion is the process of bringing data from different sources into Data Cloud using connectors or APIs. Data modeling is the process of mapping the ingested data to the Data Cloud canonical model or creating custom data model objects.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_model.htm&type=5


質問 # 45
Which three actions can be applied to a previously created segment?

  • A. Export
  • B. Inactivate
  • C. Reactivate
  • D. Copy
  • E. Delete

正解:A、D、E

解説:
These three actions can be applied to a previously created segment. You can export a segment to a CSV file, delete a segment from Data Cloud, or copy a segment to create a duplicate segment with the same criteria. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_segmentation_actions.htm&type=5


質問 # 46
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. Value Suggestion
  • C. Data Harmonization
  • D. Transformation Formulas

正解:B

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 # 47
Which feature can integrate in real time with Salesforce CRM?

  • A. CRM Starter Bundle
  • B. Data Model Triggers
  • C. Data Actions
  • D. Identity Resolution

正解:C

解説:
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. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_actions.htm&type=5


質問 # 48
Which three options can be used to build a filter in the Segmentation Canvas?

  • A. Direct Attributes
  • B. Streaming Insights
  • C. Related Attributes
  • D. Calculated Insights
  • E. Data Lake Objects

正解:A、B、D

解説:
A window function is a unique requirement of a Streaming Insight query. It defines the time interval for the query to run on the streaming data and the frequency of the query execution. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm&type=5


質問 # 49
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. Map Data to Data Model > Create Calculated Insight > Use in Segmentation
  • B. Ingest Data > Create Calculated Insight > Use in Segmentation
  • C. Create Calculated Insight > Map Data to Data Model > Use in Segmentation
  • D. Ingest Data > Map Data to Data Model > Create Calculated
  • E. Insight > Use in Segmentation

正解:D

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 # 50
When setting up the data source object or schema for data ingestion, what are the three data categories to select from?

  • A. Event Data
  • B. Profile Data
  • C. Engagement Data
  • D. Order Data
  • E. Other Data

正解:B、C、D

解説:
These are the three data categories to select from when setting up the data source object or schema for data ingestion. Engagement data includes information about how customers interact with a brand or product, such as clicks, views, likes, etc. Order data includes information about transactions or purchases made by customers, such as order ID, amount, date, etc. Profile data includes information about customers' attributes or preferences, such as name, email, gender, etc. Reference: [Data Categories]


質問 # 51
Which operator can be used to create a segment for a birthday campaign that is evaluated daily?

  • A. Is This Year
  • B. Is Anniversary Of
  • C. Is Birthday
  • D. Is Between

正解:B

解説:
Explanation
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.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_segmentation_operators.htm&ty


質問 # 52
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:
Explanation
This component should be recommended to achieve the goal of understanding which identified users have browsed the jobs page on their website at least twice within the last 12 hours. Streaming Insight allows you to query and filter data from real-time streams using window functions and aggregation functions.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm&type=5


質問 # 53
Which option allows an organization an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis?

  • A. Marketing Cloud Connect API
  • B. Profile attributes are not yet supported
  • C. Email Studio Starter Data Bundle
  • D. Automation Studio and Profile API

正解:D

解説:
Explanation
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_foundatio


質問 # 54
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

正解:B

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 # 55
When performing Segmentation or Activation, which timezone is used to publish and refresh data?

  • A. Timezone is explicitly specified when creating a segment or activation
  • B. Timezone of the Data Cloud Admin user
  • C. Timezone of the user defining the activity
  • D. Timezone set by the Salesforce Data Cloud org

正解:D

解説:
According to the Salesforce Data Cloud documentation1, the timezone used for Segmentation and Activation is the one set by the Salesforce Data Cloud org, not by the individual user or admin. This ensures consistency and accuracy across different users and regions.


質問 # 56
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 submitted to Data Cloud are passed to all connected Salesforce Clouds
  • C. Data Deletion requests are processed within 1 hour
  • D. Data Deletion requests are reprocessed at 30, 60, and 90 days

正解:A、D

解説:
Explanation
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 to the individual is deleted.
Data deletion requests are submitted for individual profiles thatrepresent 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 # 57
What is the relationship between Individual and Contact Point Objects?

  • A. 1:1
  • B. 1: Many
  • C. Many: Many
  • D. None of the above

正解:B

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 # 58
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. Amazon S3 Bucket
  • B. Salesforce CRM
  • C. Marketing Cloud
  • D. Personalization

正解:C

解説:
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


質問 # 59
A retail customer wants to bring customer data from different sources and wants to take advantage of Identity Resolution so that it can be used in Segmentation. On which entity should this be segmented for activation membership?

  • A. Unified Contact
  • B. Subscriber
  • C. Individual
  • D. Unified Individual

正解:D

解説:
The Unified Individual entity represents the result of Identity Resolution, which links together multiple records of an individual from different sources into a single profile4. This entity can be used for Segmentation and Activation, as it provides a complete and accurate view of each customer.


質問 # 60
What does the Ignore Empty Value option do in Identity Resolution?

  • A. Ignores empty fields when running the standard match rules
  • B. Ignores Individual object records with empty fields when running Identity Resolution rules
  • C. Ignores empty fields when running any custom match rules
  • D. Ignores empty fields when running reconciliation rules

正解:D

解説:
The Ignore Empty Value option is a setting for reconciliation rules, which determine the logic for data selection in a unified profile7. If this option is enabled, empty fields are ignored when applying the reconciliation rule. For example, if the rule is to select the most frequent value, and one of the values is empty, it will not be counted as a frequency.


質問 # 61
Which three features can be used to validate the data in the unified profile object?

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

正解:A、D、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 # 62
Which two statements about Data Cloud's Web and Mobile App connector are true?

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

正解:A、D

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 is generated for each app and used to send data to Data Cloud from the web or mobile SDK. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_web_mobile_app_connector.htm&type=5


質問 # 63
Cloud Kicks has received a Request to be Forgotten by a customer. In which two ways can Data Cloud honor this request?

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

正解:A、B

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


質問 # 64
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