Data-Cloud-Consultant模擬試験問題集、Data-Cloud-Consultantウェブトレーニング

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Data-Cloud-Consultant試験を恐れることはありません。Data-Cloud-Consultant準備資料があなたの現在の生活を変えるのに役立つと信じています。 Data-Cloud-Consultant試験に合格して認定を取得できれば、近い将来新しい有意義な生活を始めることができます。したがって、Data-Cloud-Consultant模擬試験の準備をすることは非常に重要です。Data-Cloud-Consultant認定ガイドにもっと注意を払う必要があります。また、Data-Cloud-Consultant試験の質問は、認定を取得するためのすべての手助けとなります。
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 Cloud Setup and Administration: This topic includes applying Data Cloud permissions, permission sets, org-wide settings. It describes and configures data stream types, and data bundles. Moreover, it discusses use cases for data spaces, creating data spaces, managing and administering Data Cloud using reports, dashboards, flows, packaging, data kits, diagnosing and exploring data using Data Explorer, Profile Explorer, and APIs.
|
| トピック 2 | - 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 3 | - Data Cloud Overview: This topic covers Data Cloud's function, key terminology, business value, typical use cases, the Data Cloud lifecycle, dependencies, and principles of data ethics. These sub-topics provide an overview of Data Cloud's capabilities and applications.
|
>> Data-Cloud-Consultant模擬試験問題集 <<
Data-Cloud-Consultant試験の準備方法|最新のData-Cloud-Consultant模擬試験問題集試験|実用的なSalesforce Certified Data 360 Consultant (Data-Con-101)ウェブトレーニング
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Salesforce Certified Data 360 Consultant (Data-Con-101) 認定 Data-Cloud-Consultant 試験問題 (Q91-Q96):
質問 # 91
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. Unified Individual
- C. Individual
- D. Subscriber
正解:B
解説:
The correct answer is B, Unified Individual. A Unified Individual is a record that represents a customer across different data sources, created by applying identity resolution rulesets. Identity resolution rulesets are sets of match and reconciliation rules that define how to link and merge data from different sources based on common attributes. Data Cloud uses identity resolution rulesets to resolve data across multiple data sources and helps you create one record for each customer, regardless of where the data came from1. A retail customer who wants to bring customer data from different sources and use identity resolution for segmentation should segment on the Unified Individual entity, which contains the resolved and consolidated customer data. The other options are incorrect because they do not represent the resolved customer data across different sources. A Subscriber is a record that represents a customer who has opted in to receive marketing communications. A Unified Contact is a record that represents a customer who has a relationship with a specific business unit. An Individual is a record that represents a customer's profile data from a single data source. Reference:
Identity Resolution Ruleset Processing Results
Consider Data Implications for Segmentation
Prepare for your Salesforce Data Cloud Consultant Credential
AI-based Identity Resolution: Linking Diverse Customer Data
質問 # 92
A Data 360 Consultant wants to use Data 360 Clean Rooms to collaborate with a partner. Which statement is true regarding data security in this environment?
- A. PII is automatically decrypted for the consumer to ensure matching accuracy.
- B. Both parties must move their data into a shared Amazon S3 bucket first.
- C. The data stays in its original location, and only the query results are shared.
- D. The provider must grant Modify All Data permissions to the consumer.
正解:C
解説:
The architecture principle is to avoid unnecessary data movement when the external platform can be queried or shared securely. The data stays in its original location, and only the query results are shared. aligns with the zero-copy model because Data 360 can expose or query governed data without building another extract pipeline. That is important when teams want freshness, reduced duplication, and lower operational burden while still respecting permissions and platform boundaries. The distractors fall short because they either move the problem into the wrong system, add needless duplication, ignore Data 360 object relationships, or rely on a feature built for a different lifecycle stage. In a real implementation, those choices usually create brittle pipelines, stale data, security exposure, or segments that look correct on paper but fail when activated.
Thinking like an architect, the selected option places the logic where Data 360 can govern it and reuse it reliably.
質問 # 93
During an implementation project, a consultant completed ingestion of all data streams for their customer.
Prior to segmenting and acting on that data, which additional configuration is required?
- A. Identity Resolution
- B. Calculated Insights
- C. Data Mapping
- D. Data Activation
正解:A
解説:
After ingesting data from different sources into Data Cloud, the additional configuration that is required before segmenting and acting on that data is Identity Resolution. Identity Resolution is the process of matching and reconciling source profiles from different data sources and creating unified profiles that represent a single individual or entity1. Identity Resolution enables you to create a 360-degree view of your customers and prospects, and to segment and activate them based on their attributes and behaviors2. To configure Identity Resolution, you need to create and deploy a ruleset that defines the match rules and reconciliation rules for your data3. The other options are incorrect because they are not required before segmenting and acting on the data. Data Activation is the process of sending data from Data Cloud to other Salesforce clouds or external destinations for marketing, sales, or service purposes4. Calculated Insights are derived attributes that are computed based on the source or unified data, such as lifetime value, churn risk, or product affinity5. Data Mapping is the process of mapping source attributes to unified attributes in the data model. These configurations can be done after segmenting and acting on the data, or in parallel with Identity Resolution, but they are not prerequisites for it. References: Identity Resolution Overview, Segment and Activate Data in Data Cloud, Configure Identity Resolution Rulesets, Data Activation Overview, Calculated Insights Overview, [Data Mapping Overview]
質問 # 94
Northern Trail Outfitters wants to compute recency, frequency, monetary (RFM) scores on its unified individuals in order to use it in Marketing Cloud Engagement. What is the best way to achieve this goal?
- A. Include the Calculated Insight attribute in activation.
- B. Import the score to Marketing Cloud via SFTP.
- C. Add the score to a related list.
- D. Use copy fields to show the calculated insight.
正解:A
解説:
The segmentation and activation design starts with grain: who or what the audience represents, and which attributes must travel with it. Include the Calculated Insight attribute in activation. works because Data 360 segmentation and activation must respect audience grain, relationship paths, and activation payload rules. A segment can qualify the audience, but activation determines which related attributes or contact points are actually sent downstream. The distractors fall short because they either move the problem into the wrong system, add needless duplication, ignore Data 360 object relationships, or rely on a feature built for a different lifecycle stage. In a real implementation, those choices usually create brittle pipelines, stale data, security exposure, or segments that look correct on paper but fail when activated. Thinking like an architect, the selected option places the logic where Data 360 can govern it and reuse it reliably. This is the nuance exam questions often test: the platform capability must match both the technical layer and the business timing requirement, not just sound related to data.
質問 # 95
Which statement about Data 360 ' s Web and Mobile Application Connector is true?
- A. The connector schema can be updated to delete an existing field.
- B. The Tenant Specific Endpoint is auto-generated in Data 360 when setting the connector.
- C. A standard schema containing event, profile, and transaction data is created at the time the connector is configured.
- D. Any data streams associated with the connector will be automatically deleted upon deleting the app from Data 360 Setup.
正解:B
質問 # 96
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