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Salesforce Data-Cloud-Consultant 認定試験の出題範囲：
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質問 # 58
A consultant needs to update a field in CRM as soon as a record gets updated in the DMO.
Which feature should the consultant use?
- A. Rapid segments
- B. Data actions
- C. Data share target
- D. Streaming data transform
正解：B
質問 # 59
A consultant is setting up Data Cloud for a multi-brand organization and is using data spaces to segregate its data for various brands.
While starting the mapping of a data stream, the consultant notices that they cannot map the object for one of the brands.
What should the consultant do to make the object available for a new data space?
- A. Create a batch transform to split data between different data spaces.
- B. Copy data from the default data space to a new DMO using the Data Copy feature and link this DMO to the new data space.
- C. Navigate to the Data Space tab and select the object to be included in the new data space.
- D. Create a new data stream and map the second data stream to the data space.
正解：C
質問 # 60
Northern Trail Outfitters (NTD) creates a calculated insight to compute recency, frequency, monetary {RFM) scores on its unified individuals. NTO then creates a segment based on these scores that it activates to a Marketing Cloud activation target.
Which two actions are required when configuring the activation?
Choose 2 answers
- A. Add additional attributes.
- B. Add the calculated insight in the activation.
- C. Select contact points.
- D. Choose a segment.
正解：C、D
質問 # 61
Cumulus Financial needs to create a composite key on an incoming data source that combines the fields Customer Region and Customer Identifier.
Which formula function should a consultant use to create a composite key when a primary key is not available in a data stream?
- A. CAST
- B. COMBIN
- C. COALE
- D. CONCAT
正解：D
解説：
* Composite Keys in Data Streams: When working with data streams in Salesforce Data Cloud, there may be situations where a primary key is not available. In such cases, creating a composite key from multiple fields ensures unique identification of records.
* Formula Functions: Salesforce provides several formula functions to manipulate and combine data fields. Among them, the CONCAT function is used to combine multiple strings into one.
* Creating Composite Keys: To create a composite key using CONCAT, a consultant can combine the values of Customer Region and Customer Identifier into a single unique identifier.
Example Formula: CONCAT(Customer_Region, Customer_Identifier)
* Reference:
Salesforce Documentation: Formula Functions
Salesforce Data Cloud Guide
質問 # 62
What is the result of a segmentation criteria filtering on City | Is Equal To | 'San Jose'?
- A. Cities only containing 'San Jose' or 'san jose'
- B. Cities only containing 'San Jose' or 'san jose'
- C. Cities only containing 'San Jose' or 'San Jose'
- D. Cities containing 'San Jose', 'San Jose', 'san jose', or 'san jose'
正解：A
解説：
Explanation
The result of a segmentation criteria filtering on City | Is Equal To | 'San Jose' is cities only containing 'San Jose' or 'san jose'. This is because the segmentation criteria is case-sensitive and accent-sensitive, meaning that it will only match the exact value that is entered in the filter1. Therefore, cities containing 'San Jose', 'san jose', or 'San Jose' will not be included in the result, as they do not match the filter value exactly. To include cities with different variations of the name 'San Jose', you would need to use the OR operator and add multiple filter values, such as 'San Jose' OR 'San Jose' OR 'san jose' OR 'san jose'2. References: Segmentation Criteria, Segmentation Operators
質問 # 63
Luxury Retailers created a segment targeting high value customers that it activates through Marketing Cloud for email communication. The company notices that the activated count is smaller than the segment count.
What is a reason for this?
- A. Marketing Cloud activations only activate those individuals that already exist in Marketing Cloud.
They do not allow activation of new records. - B. Marketing Cloud activations automatically suppress individuals who are unengaged and have not opened or clicked on an email in the last six months.
- C. Marketing Cloud activations apply a frequency cap and limit the number of records that can be sent in an activation.
- D. Data Cloud enforces the presence of Contact Point for Marketing Cloud activations. If the individual does not have a related Contact Point, it will not be activated.
正解：D
解説：
The reason for the activated count being smaller than the segment count is A. Data Cloud enforces the presence of Contact Point for Marketing Cloud activations. If the individual does not have a related Contact Point, it will not be activated. A Contact Point is a data model object that represents a channel or method of communication with an individual, such as email, phone, or social media. For Marketing Cloud activations, Data Cloud requires that the individual has a related Contact Point of type Email, which contains a valid email address. If the individual does not have such a Contact Point, or if the Contact Point is missing or invalid, the individual will not be activated and will not receive the email communication. Therefore, the activated count may be lower than the segment count, depending on how many individuals in the segment have a valid email Contact Point. References: Salesforce Data Cloud Consultant Exam Guide, Contact Point, Marketing Cloud Activation
質問 # 64
Luxury Retailers created a segment targeting high value customers that it activates through Marketing Cloud for email communication. The company notices that the activated count is smaller than the segment count.
What is a reason for this?
- A. Marketing Cloud activations automatically suppress individuals who are unengaged and have not opened or clicked on an email in the last six months.
- B. Marketing Cloud activations apply a frequency cap and limit the number of records that can be sent in an activation.
- C. Data Cloud enforces the presence of Contact Point for Marketing Cloud activations. If the individual does not have a related Contact Point, it will not be activated.
- D. Marketing Cloud activations only activate those individuals that already exist in Marketing Cloud.They do not allow activation of new records.
正解：C
解説：
Data Cloud requires a Contact Point for Marketing Cloud activations, which is a record that links an individual to an email address. This ensures that the individual has given consent to receive email communications and that the email address is valid. If the individual does not have a related Contact Point, they will not be activated in Marketing Cloud. This may result in a lower activated count than the segment count. References: Data Cloud Activation, Contact Point for Marketing Cloud
質問 # 65
When trying to disconnect a data source an error will be generated if it has which two dependencies associated with it?
Choose 2 answers
- A. Data stream
- B. Segment
- C. Activation target
- D. Activation
正解：A、B
解説：
When disconnecting a data source in Salesforce Data Cloud, the system checks for active dependencies that rely on the data source. Based on Salesforce's official documentation (Disconnect a Data Source), the error occurs if the data source has data streams or segments associated with it. Here's the breakdown:
Key Dependencies That Block Disconnection
Data Stream (Option B):
Why It Matters:
A data stream is the pipeline that ingests data from the source into Data Cloud. If an active data stream is connected to the data source, disconnecting the source will fail because the stream depends on it for ongoing data ingestion.
Resolution:
Delete or pause the data stream first.
Documentation Reference:
"Before disconnecting a data source, delete all data streams that are associated with it." (Salesforce Help Article) Segment (Option C):
Why It Matters:
Segments built using data from the source will reference that data source. Disconnecting the source would orphan these segments, so the system blocks the action.
Resolution:
Delete or modify segments that depend on the data source.
Documentation Reference:
"If there are segments that use data from the data source, you must delete those segments before disconnecting the data source." (Salesforce Help Article) Why Other Options Are Incorrect Activation (A):
Activations send segments to external systems (e.g., Marketing Cloud) but do not directly depend on the data source itself. The dependency chain is Segment → Activation, not Data Source → Activation.
Activation Target (D):
Activation targets (e.g., Marketing Cloud) are destinations and do not tie directly to the data source.
Steps to Disconnect a Data Source
Delete Dependent Segments:
Navigate to Data Cloud > Segments and remove any segments built using the data source.
Delete or Pause Data Streams:
Go to Data Cloud > Data Streams and delete streams linked to the data source.
Disconnect the Data Source:
Once dependencies are resolved, disconnect the source via Data Cloud > Data Sources.
質問 # 66
A bank collects customer data for its loan applicants and high net worth customers. A customer can be both a load applicant and a high net worth customer, resulting in duplicate data.
How should a consultant ingest and map this data in Data Cloud?
- A. Use a data transform to consolidate the data into one DLO and them map it to the individual and Contact Point Email DMOs.
- B. Ingest the data into two DLOs and map each to the individual and Contact point Email DMOs.
- C. Ingest the data into one DLO and then map to one custom DMO.
- D. Ingest the data into two DLOs and then map to two custom DMOs.
正解：A
質問 # 67
A consultant is integrating an Amazon 53 activated campaign with the customer's destination system.
In order for the destination system to find the metadata about the segment, which file on the 53 will contain this information for processing?
- A. The json file
- B. The .zip file
- C. The .csv file
- D. The .txt file
正解：A
解説：
The file on the Amazon S3 that will contain the metadata about the segment for processing is B. The json file. The json file is a metadata file that is generated along with the csv file when a segment is activated to Amazon S3. The json file contains information such as the segment name, the segment ID, the segment size, the segment attributes, the segment filters, and the segment schedule. The destination system can use this file to identify the segment and its properties, and to match the segment data with the corresponding fields in the destination system. References: Salesforce Data Cloud Consultant Exam Guide, Amazon S3 Activation
質問 # 68
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 Encrypted Username and Password.
- B. Use a JWT Token generated on S3.
- C. Use an S3 Private Key Certificate.
- D. Use an S3 Access Key and Secret Key.
正解：D
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. Reference: Amazon S3 Storage Connector - Salesforce, How to Use the Amazon S3 Storage Connector in Data Cloud | Salesforce Developers Blog Learn more
1help.salesforce.com2developer.salesforce.com
質問 # 69
A consultant wants to confirm the Identity resolution they Just set up. Which two features can the consultant use to validate the data on a unified profile?
Choose 2 answers
- A. Data Actions
- B. Identity Resolution
- C. Data Explorer
- D. Query API
正解：C、D
解説：
To validate the data on a unified profile after setting up identity resolution, the consultant can use Data Explorer and the Query API . Here's why:
Understanding Identity Resolution Validation
Identity resolution combines data from multiple sources into a unified profile.
Validating the unified profile ensures that the resolution process is working correctly and that the data is accurate.
Why Data Explorer and Query API?
Data Explorer :
Data Explorer is a built-in tool in Salesforce Data Cloud that allows users to view and analyze unified profiles.
It provides a detailed view of individual profiles, including resolved identities and associated attributes.
Query API :
The Query API enables programmatic access to unified profiles and related data.
Consultants can use the API to query specific profiles and validate the results of identity resolution programmatically.
Other Options Are Less Suitable :
A . Identity Resolution : This refers to the process itself, not a tool for validation.
B . Data Actions : Data actions are used to trigger workflows or integrations, not for validating unified profiles.
Steps to Validate Unified Profiles
Using Data Explorer :
Navigate to Data Cloud > Data Explorer .
Search for a specific profile and review its resolved identities and attributes.
Verify that the data aligns with expectations based on the identity resolution rules.
Using Query API :
Use the Query API to retrieve unified profiles programmatically.
Compare the results with expected outcomes to confirm accuracy.
Conclusion
The consultant should use Data Explorer and the Query API to validate the data on unified profiles, ensuring that identity resolution is functioning as intended.
質問 # 70
Which two dependencies prevent a data stream from being deleted?
Choose 2 answers
- A. The underlying data lake object is used in segmentation.
- B. The underlying data lake object is mapped to a data model object.
- C. The underlying data lake object is used in activation.
- D. The underlying data lake object is used in a data transform.
正解：B、D
解説：
To delete a data stream in Data Cloud, the underlying data lake object (DLO) must not have any dependencies or references to other objects or processes. The following two dependencies prevent a data stream from being deleted1:
Data transform: This is a process that transforms the ingested data into a standardized format and structure for the data model. A data transform can use one or more DLOs as input or output. If a DLO is used in a data transform, it cannot be deleted until the data transform is removed or modified2.
Data model object: This is an object that represents a type of entity or relationship in the data model. A data model object can be mapped to one or more DLOs to define its attributes and values. If a DLO is mapped to a data model object, it cannot be deleted until the mapping is removed or changed3.
1: Delete a Data Stream article on Salesforce Help
2: [Data Transforms in Data Cloud] unit on Trailhead
3: [Data Model in Data Cloud] unit on Trailhead
質問 # 71
Which information is provided in a .csv file when activating to Amazon S3?
- A. The manifest of origin sources within Data Cloud
- B. The activated data payload
- C. An audit log showing the user who activated the segment and when it was activated
- D. The metadata regarding the segment definition
正解：B
解説：
When activating to Amazon S3, the information that is provided in a .csv file is the activated data payload. The activated data payload is the data that is sent from Data Cloud to the activation target, which in this case is an Amazon S3 bucket1. The activated data payload contains the attributes and values of the individuals or entities that are included in the segment that is being activated2. The activated data payload can be used for various purposes, such as marketing, sales, service, or analytics3. The other options are incorrect because they are not provided in a .csv file when activating to Amazon S3. Option A is incorrect because an audit log is not provided in a .csv file, but it can be viewed in the Data Cloud UI under the Activation History tab4. Option C is incorrect because the metadata regarding the segment definition is not provided in a .csv file, but it can be viewed in the Data Cloud UI under the Segmentation tab5. Option D is incorrect because the manifest of origin sources within Data Cloud is not provided in a .csv file, but it can be viewed in the Data Cloud UI under the Data Sources tab. References: Data Activation Overview, Create and Activate Segments in Data Cloud, Data Activation Use Cases, View Activation History, Segmentation Overview, [Data Sources Overview]
質問 # 72
When performing segmentation or activation, which time zone is used to publish and refresh data?
- A. Time zone set by the Salesforce Data Cloud org
- B. Time zone specified on the activity at the time of creation
- C. Time zone of the user creating the activity
- D. Time zone of the Data Cloud Admin user
正解：A
解説：
Explanation
The time zone that is used to publish and refresh data when performing segmentation or activation is D. Time zone set by the Salesforce Data Cloud org. This time zone is the one that is configured in the org settings when Data Cloud is provisioned, and it applies to all users and activities in Data Cloud. This time zone determines when the segments are scheduled to refresh and when the activations are scheduled to publish. Therefore, it is important to consider the time zone difference between the Data Cloud org and the destination systems or channels when planning the segmentation and activation strategies. References: Salesforce Data Cloud Consultant Exam Guide, Segmentation, Activation
質問 # 73
Cumulus Financial needs to create a composite key on an incoming data source that combines the fields Customer Region and Customer Identifier.
Which formula function should a consultant use to create a composite key when a primary key is not available in a data stream?
- A. CAST
- B. COMBIN
- C. COALE
- D. CONCAT
正解：D
解説：
Composite Keys in Data Streams: When working with data streams in Salesforce Data Cloud, there may be situations where a primary key is not available. In such cases, creating a composite key from multiple fields ensures unique identification of records.
Formula Functions: Salesforce provides several formula functions to manipulate and combine data fields.
Among them, the CONCAT function is used to combine multiple strings into one.
Creating Composite Keys: To create a composite key using CONCAT, a consultant can combine the values of Customer Region and Customer Identifier into a single unique identifier.
* Example Formula: CONCAT(Customer_Region, Customer_Identifier)
References:
* Salesforce Documentation: Formula Functions
* Salesforce Data Cloud Guide
質問 # 74
A consultant is working in a customer's Data Cloud org and is asked to delete the existing identity resolution ruleset.
Which two impacts should the consultant communicate as a result of this action?
Choose 2 answers
- A. Dependencies on data model objects will be removed.
- B. All individual data will be removed.
- C. All source profile data will be removed
- D. Unified customer data associated with this ruleset will be removed.
正解：A、D
解説：
Deleting an identity resolution ruleset has two major impacts that the consultant should communicate to the customer. First, it will permanently remove all unified customer data that was created by the ruleset, meaning that the unified profiles and their attributes will no longer be available in Data Cloud1. Second, it will eliminate dependencies on data model objects that were used by the ruleset, meaning that the data model objects can be modified or deleted without affecting the ruleset1. These impacts can have significant consequences for the customer's data quality, segmentation, activation, and analytics, so the consultant should advise the customer to carefully consider the implications of deleting a ruleset before proceeding. The other options are incorrect because they are not impacts of deleting a ruleset. Option A is incorrect because deleting a ruleset will not remove all individual data, but only the unified customer data. The individual data from the source systems will still be available in Data Cloud1. Option D is incorrect because deleting a ruleset will not remove all source profile data, but only the unified customer data. The source profile data from the data streams will still be available in Data Cloud1. Reference: Delete an Identity Resolution Ruleset
質問 # 75
How can a consultant modify attribute names to match a naming convention in Cloud File Storage targets?
- A. Update field names in the data model object.
- B. Use a formula field to update the field name in an activation.
- C. Set preferred attribute names when configuring activation.
- D. Update attribute names in the data stream configuration.
正解：C
質問 # 76
When creating a segment on an individual, what is the result of using two separate containers linked by an AND as shown below?
GoodsProduct | Count | At Least | 1
Color | Is Equal To | red
AND
GoodsProduct | Count | At Least | 1
PrimaryProductCategory | Is Equal To | shoes
- A. Individuals who made a purchase of at least one 'red shoes' and nothing else
- B. Individuals who purchased at least one 'red shoes' as a single line item in a purchase
- C. Individuals who purchased at least one of any red' product and also purchased at least one pairof 'shoes'
- D. Individuals who purchased at least one of any 'red' product or purchased at least one pair of'shoes'
正解：C
解説：
When creating a segment on an individual, using two separate containers linked by an AND means that the individual must satisfy both the conditions in the containers. In this case, the individual must have purchased at least one product with the color attribute equal to 'red' and at least one product with the primary product category attribute equal to 'shoes'. The products do not have to be the same or purchased in the same transaction. Therefore, the correct answer is A.
The other options are incorrect because they imply different logical operators or conditions. Option B implies that the individual must have purchased a single product that has both the color attribute equal to 'red' and the primary product category attribute equal to 'shoes'. Option C implies that the individual must have purchased only one product that has both the color attribute equal to 'red' and the primary product category attribute equal to 'shoes' and no other products. Option D implies that the individual must have purchased either one product with the color attribute equal to 'red' or one product with the primary product category attribute equal to 'shoes' or both, which is equivalent to using an OR operator instead of an AND operator.
Create a Container for Segmentation
Create a Segment in Data Cloud
Navigate Data Cloud Segmentation
質問 # 77
A consultant is integrating an Amazon 53 activated campaign with the customer's destination system.
In order for the destination system to find the metadata about the segment, which file on the 53 will contain this information for processing?
- A. The json file
- B. The .zip file
- C. The .csv file
- D. The .txt file
正解：A
質問 # 78
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