[2024年03月27日] 最新更新されたのはSalesforce-Data-Cloud試験問題2024年更新
無料更新されたSalesforce Salesforce-Data-Cloudテストエンジン問題には94問題と解答
質問 # 37
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 activation targets
- D. Identify data sources
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. Reference: https://trailhead.salesforce.com/content/learn/modules/customer-data-platform-basics/get-started-with-customer-data-platform
質問 # 38
Which two characteristics describe the Customer 360 data model?
- A. A Conceptual Model
- B. A Static Model
- C. A Canonical Model
- D. A Product Sold By Salesforce
正解：A、C
解説：
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. Reference: [Customer 360 Data Model Overview], [Conceptual Model], [Canonical Model]
質問 # 39
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 # 40
Which type of measures with aggregate functions are supported?
- A. Text
- B. Boolean
- C. Date
- D. Numeric
正解：D
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 # 41
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. Pass the trust-based compliance rules as a first-party data asset is added to Data Cloud
- C. Obtain competitive data from reliable sources through interviews, surveys, and polls
- D. Provide transparency and security for data gathered from individuals who provide consent for its use and receive value in exchange
正解：D
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 # 42
What is the relationship between Individual and Contact Point Objects?
- A. 1: Many
- B. 1:1
- C. None of the above
- D. Many: Many
正解：A
解説：
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
質問 # 43
Which data stream category should be assigned to use the data for time-based operations in segmentation and calculated insights?
- A. Engagement
- B. Individual
- C. Sales Order
- D. Transaction
正解：D
解説：
Explanation
The transaction data stream category should be assigned to use the data for time-based operations in segmentation and calculated insights. This category indicates that the data stream contains events that occur at a specific point in time and have a duration.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_stream_category.htm&type
質問 # 44
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 set by the Salesforce Data Cloud org
- D. Timezone of the user defining the activity
正解：C
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 # 45
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. Marketing Cloud
- B. Personalization
- C. Amazon S3 Bucket
- D. Salesforce CRM
正解：A
解説：
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. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_limits.htm&type=5
質問 # 46
Which data model subject area should be used for any Organization, Individual, or Member in the Customer 360 data model?
- A. Global Account
- B. Individual
- C. Party
- D. Membership
正解：C
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. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_party.htm&type=5
質問 # 47
Which option allows an organization an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis?
- A. Automation Studio and Profile API
- B. Email Studio Starter Data Bundle
- C. Marketing Cloud Connect API
- D. Profile attributes are not yet supported
正解：A
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. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_marketing_cloud_data_foundation.htm&type=5
質問 # 48
How can attribute names be modified to match a naming convention in Cloud File Storage target?
- A. Set preferred attribute names when configuring activation
- B. Use a formula field to update the field name in an activation
- C. Update field names in the data model
- D. Update attribute names in the data stream configuration
正解：C
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 # 49
Which two applications automatically create activation targets at the time the application is connected to Data Cloud?
- A. Personalization powered by Interaction Studio
- B. Amazon S3
- C. Marketing Cloud Engagement
- D. B2C Commerce
正解：A、D
解説：
Explanation
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 # 50
How do the Data streams that use the Marketing Cloud Connector refresh data?
- A. APIs are used for refresh
- B. Marketing Cloud's Automation Studio handles this process.
- C. Manually refreshed by CDP Admin
- D. None of the above
正解：B
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 # 51
What can be customized in the Data Cloud canonical model?
- A. Fields
- B. Objects, Fields, and Relationships
- C. Objects
- D. Objects and Fields
正解：B
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 # 52
What are the two distinct phases of data model management in Data Cloud?
- A. Data Actions
- B. Data Ingestion
- C. Data Activation
- D. Data Modeling
正解：B、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 # 53
When can the data types be changed during ingestion?
- A. Data type can be changed at any time
- B. Data type can never be changed
- C. After the DSO is created
- D. Before DSO is created
正解：D
解説：
The data types can be changed during ingestion before the Data Source Object (DSO) is created. A DSO is a container for ingested data that defines the schema, format, and metadata of the data. Data types can be changed in the Data Explorer before creating a DSO by using the Edit Schema option. Once a DSO is created, the data types cannot be changed. Reference: Create a Data Source Object
質問 # 54
Which of the following functions returns the first value from a list that isn't empty?
- A. COALESCE
- B. CONCAT
- C. REPLACE
- D. FIND
正解：A
解説：
Explanation
COALESCE is the function that returns the first value from a list that isn't empty. It takes a list of values as arguments and returns the first non-empty value. For example, COALESCE(NULL, '', 'Hello', 'World') returns 'Hello'. If all values are empty, it returns NULL. References: COALESCE
質問 # 55
How do the Data streams that use the Marketing Cloud Connector refresh data?
- A. APIs are used for refresh
- B. Marketing Cloud's Automation Studio handles this process.
- C. Manually refreshed by CDP Admin
- D. None of the above
正解：B
解説：
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
質問 # 56
A customer wants to use the transactional data from their data warehouse in Data Cloud. They are only able to export the data via a SFTP site. What are two recommended ways to bring this data into Data Cloud?
- A. Import the file into Amazon S3 and ingest with the Cloud Storage Connector
- B. Utilize Salesforce's Dataloader application to perform a bulk upload from a desktop
- C. Manually import the file using the Data Import Wizard
- D. Import the file into Google Cloud Storage and ingest with the Cloud Storage Connector
正解：A、D
解説：
These two options are recommended ways to bring transactional data from a data warehouse into Data Cloud via a SFTP site. You can use the Cloud Storage Connector to ingest files from Google Cloud Storage or Amazon S3 buckets into Data Cloud. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_google_cloud_storage.htm&type=5 https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_amazon_s3.htm&type=5
質問 # 57
A segment fails to refresh with the error "Segment references too many Data Lake Objects (DLOs)". What are two remedies for this issue?
- A. Split the segment into smaller segments
- B. Space out the segment schedules to reduce Data Lake Object load
- C. Use Calculated Insights in order to reduce the complexity of the segmentation query
- D. Refine segmentation criteria to limit up to 5 custom DMOs
正解：A、B
解説：
Explanation
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 # 58
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 ingestion setup can't be completed without specifying the filename.
- C. The system chooses the first file found in the S3 bucket
- D. The system does not fetch any file and the data stream shows an error.
正解：D
解説：
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. References: AWS S3 Data Stream
質問 # 59
What are two benefits Data Cloud provides a company in relation to managing customer data?
- A. Unified Identity Resolution
- B. Data Marketplace
- C. Data Governance
- D. Data Harmonization
正解：A、D
解説：
Explanation
These two benefits Data Cloud provides a company in relation to managing customer data. Unified Identity Resolution allows a company to link data from different sources and create a single view of each customer.
Data Harmonization allows a company to standardize and enrich data from different sources and improve data quality and usability. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_identity_resolution.htm&type=5https://help.
質問 # 60
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