Data-Cloud-Consultant認定資格試験 & Data-Cloud-Consultantミシュレーション問題

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Salesforce Data-Cloud-Consultant 認定試験の出題範囲：

トピック	出題範囲
トピック 1	Data Ingestion and Modeling: This topic covers the different transformation capabilities within Data Cloud. It includes describing processes and considerations for data ingestion from various sources, defining, mapping, and modeling data using best practices aligned with identity resolution. Lastly, it discusses using available tools to inspect and validate ingested and modeled data.
トピック 2	Act on Data: This topic defines activations and their basic use cases, using attributes and related attributes, identifying and analyzing timing dependencies affecting the Data Cloud lifecycle. Additionally it focuses on troubleshooting common problems with activations, and using data actions, including their requirements and intended use cases.
トピック 3	Identity Resolution: It describes matching and how its rule sets are applied. Furthermore, it discusses reconciling data and its rule sets, the results of identity resolution, and use cases.
トピック 4	Segmentation and Insights: This topic defines basic concepts of segmentation and use cases, identifies scenarios for analyzing segment membership, configuring, refining, and maintaining segments within Data Cloud, and differentiating between calculated and streaming insights.

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Salesforce Certified Data Cloud Consultant 認定 Data-Cloud-Consultant 試験問題 (Q118-Q123):

質問 # 118
How does Data Cloud handle an individual's Right to be Forgotten?

A. Deletes the specified Individual and records from any data model object/data lake object related to the Individual.
B. Deletes the records from all data source objects, and any downstream data model objects are updated at the next scheduled ingestion
C. Deletes the specified Individual and records from any data source object mapped to the Individual data model object.
D. Deletes the specified Individual record and its Unified Individual Link record.

正解：A

解説：
Explanation
Data Cloud handles an individual's Right to be Forgotten by deleting the specified Individual and records from any data model object/data lake object related to the Individual. This means that Data Cloud removes all the data associated with the individual from the data space, including the data from the source objects, the unified individual profile, and any related objects. Data Cloud also deletes the Unified Individual Link record that links the individual to the source records. Data Cloud uses the Consent API to process the Right to be Forgotten requests, which are reprocessed at 30, 60, and 90 days to ensure a full deletion.
The other options are not correct descriptions of how Data Cloud handles an individual's Right to be Forgotten. Data Cloud does not delete the records from all data source objects, as this would affect the data integrity and availability of the source systems. Data Cloud also does not delete only the specified Individual record and its Unified Individual Link record, as this would leave the source records and the related records intact. Data Cloud also does not delete only the specified Individual and records from any data source object mapped to the Individual data model object, as this would leave the related records intact.
References:
* Requesting Data Deletion or Right to Be Forgotten
* Data Deletion for Data Cloud
* Use the Consent API with Data Cloud
* Data and Identity in Data Cloud

質問 # 119
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. Update attribute names in the data stream configuration.
D. Set preferred attribute names when configuring activation.

正解：D

解説：
A Cloud File Storage target is a type of data action target in Data Cloud that allows sending data to a cloud storage service such as Amazon S3 or Google Cloud Storage. When configuring an activation to a Cloud File Storage target, a consultant can modify the attribute names to match a naming convention by setting preferred attribute names in Data Cloud. Preferred attribute names are aliases that can be used to control the field names in the target file. They can be set for each attribute in the activation configuration, and they will override the default field names from the data model object. The other options are incorrect because they do not affect the field names in the target file. Using a formula field to update the field name in an activation will not change the field name, but only the field value. Updating attribute names in the data stream configuration will not affect the existing data lake objects or data model objects. Updating field names in the data model object will change the field names for all data sources and activations that use the object, which may not be desirable or consistent. Reference: Preferred Attribute Name, Create a Data Cloud Activation Target, Cloud File Storage Target

質問 # 120
A consultant is setting up a data stream with transactional data,
Which field typeshould the consultant choose toensure that leading
zeros in the purchase order number are preserved?

A. Decimal
B. Text
C. Number
D. Serial

正解：B

解説：
Explanation
The field type Text should be chosen to ensure that leading zeros in the purchase order number are preserved.
This is because text fields store alphanumeric characters as strings, and do not remove any leading or trailing characters. On the other hand, number, decimal, and serial fields store numeric values as numbers, and automatically remove any leading zeros when displaying or exporting the data123. Therefore, text fields are more suitable for storing data that needs to retain its original format, such as purchase order numbers, zip codes, phone numbers, etc. References:
* Zeros at the start of a field appear to be omitted in Data Exports
* Keep First '0' When Importing a CSV File
* Import and export address fields that begin with a zero or contain a plus symbol

質問 # 121
A customer notices that their consolidation rate has recently increased. They contact the consultant to ask why.
What are two likely explanations for the increase?
Choose 2 answers

A. New data sources have been added to Data Cloud that largely overlap with the existing profiles.
B. Identity resolution rules have been added to the ruleset to increase the number of matched
C. Identity resolution rules have been removed to reduce the number of matched profiles.
D. Duplicates have been removed from source system data streams.

正解：A、B

解説：
profiles.
Explanation:
The consolidation rate is a metric that measures the amount by which source profiles are combined to produce unified profiles in Data Cloud, calculated as 1 - (number of unified profiles / number of source profiles). A higher consolidation rate means that more source profiles are matched and merged into fewer unified profiles, while a lower consolidation rate means that fewer source profiles are matched and more unified profiles are created. There are two likely explanations for why the consolidation rate has recently increased for a customer:
New data sources have been added to Data Cloud that largely overlap with the existing profiles. This means that the new data sources contain many profiles that are similar or identical to the profiles from the existing data sources. For example, if a customer adds a new CRM system that has the same customer records as their old CRM system, the new data source will overlap with the existing one. When Data Cloud ingests the new data source, it will use the identity resolution ruleset to match and merge the overlapping profiles into unified profiles, resulting in a higher consolidation rate.
Identity resolution rules have been added to the ruleset to increase the number of matched profiles. This means that the customer has modified their identity resolution ruleset to include more match rules or more match criteria that can identify more profiles as belonging to the same individual. For example, if a customer adds a match rule that matches profiles based on email address and phone number, instead of just email address, the ruleset will be able to match more profiles that have the same email address and phone number, resulting in a higher consolidation rate.

質問 # 122
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. Flow
B. Report
C. Activation alert
D. Dashboard

正解：C

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 # 123
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