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Data-Cloud-Consultant受験練習参考書、Data-Cloud-Consultant日本語版問題集

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Salesforce Certified Data Cloud Consultant試験は大多数の受験者にとって難しい難題であることは広く受け入れられていますが、関連するData-Cloud-Consultant認定はこの分野の労働者にとって非常に重要であるため、多くの労働者はこの課題に取り組む必要があります。幸いなことに、この種の質問について心配する必要はありません。このWebサイトJPNTestで最適なソリューションを見つけることができるので、Data-Cloud-Consultantトレーニング資料です。テクノロジー、人材、施設への継続的な投資により、当社Salesforceの未来はこれまでになく輝かしく見えました。優れたData-Cloud-Consultant試験問題により、Data-Cloud-Consultant試験に合格します。

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

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 2

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.

トピック 3

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 4

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 5

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.

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Salesforce Certified Data Cloud Consultant 認定 Data-Cloud-Consultant 試験問題 (Q129-Q134):

質問 # 129
How does Data Cloud ensure data privacy and security?

A. By encrypting data at rest and in transit
B. BY limiting data access to authorized admins
C. By securely storing data in an offsite server
D. By enforcing and controlling consent references

正解：A

解説：
* Data Privacy and Security in Data Cloud:
Ensuring data privacy and security is paramount in Salesforce Data Cloud.
Reference:
* Key Security Measures:
Encrypting Data at Rest and in Transit:
Data encryption ensures that information is protected from unauthorized access both when stored and when transmitted.
Enforcing and Controlling Consent Preferences:
Consent management ensures that data usage complies with customer permissions and regulatory requirements.
* Steps to Implement Security Measures:
Data Encryption:
Enable encryption for data at rest using Salesforce Shield.
Ensure TLS/SSL encryption is used for data in transit.
Consent Management:
Set up and enforce consent preferences within Data Cloud.
Regularly audit and update consent records.
* Practical Application:
Example: A financial institution uses encryption to secure customer financial data and manages consent to comply with GDPR.

質問 # 130
Cloud Kicks plans to do a full deletion of one of its existing data streams and its underlying data lake object (DLO).
What should the consultant consider before deleting the data stream?

A. The underlying DLO cannot be mapped to a data model object.
B. The data stream can be deleted without implicitly deleting the underlying DLO.
C. The data stream must be associated with a data kit.
D. The underlying DLO can be used in a data transform.

正解：D

解説：
* Data Streams and DLOs: In Salesforce Data Cloud, data streams are used to ingest data, which is then stored in Data Lake Objects (DLOs).
* Deletion Considerations: Before deleting a data stream, it's crucial to consider the dependencies and usage of the underlying DLO.
* Data Transform Usage:
Impact of Deletion: If the underlying DLO is used in a data transform, deleting the data stream will affect any transforms relying on that DLO.
Dependency Check: Ensure that the DLO is not part of any active data transformations or processes that could be disrupted by its deletion.
* Reference:
Salesforce Data Cloud Documentation: Data Streams
Salesforce Data Cloud Documentation: Data Transforms

質問 # 131
During a privacy law discussion with a customer, the customer indicates they need to honor requests for the right to be forgotten. The consultant determines that Consent API will solve this business need.
Which two considerations should the consultant inform the customer about?
Choose 2 answers

A. Data deletion requests are processed within 1 hour.
B. Data deletion requests submitted to Data Cloud are passed to all connected Salesforce clouds.
C. Data deletion requests are submitted for Individual profiles.
D. Data deletion requests are reprocessed at 30, 60, and 90 days.

正解：B、C

解説：
Explanation
When advising a customer about using the Consent API in Salesforce to comply with requests for the right to be forgotten, the consultant should focus on two primary considerations:
* Data deletion requests are submitted for Individual profiles (Answer C): The Consent API in Salesforce is designed to handle data deletion requests specifically for individual profiles. This means that when a request is made to delete data, it is targeted at the personal data associated with an individual's profile in the Salesforce system. The consultant should inform the customer that the requests must be specific to individual profiles to ensure accurate processing and compliance with privacy laws.
* Data deletion requests submitted to Data Cloud are passed to all connected Salesforce clouds (Answer D): When a data deletion request is made through the Consent API in Salesforce Data Cloud, the request is not limited to the Data Cloud alone. Instead, it propagates through all connected Salesforce clouds, such as Sales Cloud, Service Cloud, Marketing Cloud, etc. This ensures comprehensive compliance with the right to be forgotten across the entire Salesforce ecosystem. The customer should be aware that the deletion request will affect all instances of the individual's data across the connected Salesforce environments.

質問 # 132
A consultant needs to publish segment data to the Audience DMO that can be retrieved using the Query APIs.
When creating the activation target, which type of target should the consultant select?

A. Data Cloud
B. Marketing Cloud Personalization
C. External Activation Target
D. Marketing Cloud

正解：A

質問 # 133
Northern Trail Qutfitters wants to be able to calculate each customer's lifetime value {LTV) but also create breakdowns of the revenue sourced by website, mobile app, and retail channels.
What should a consultant use to address this use case in Data Cloud?

A. Metrics on metrics
B. Streaming data transform
C. Flow Orchestration
D. Nested segments

正解：A

解説：
Metrics on metrics is a feature that allows creating new metrics based on existing metrics and applying mathematical operations on them. This can be useful for calculating complex business metrics such as LTV, ROI, or conversion rates. In this case, the consultant can use metrics on metrics to calculate the LTV of each customer by summing up the revenue generated by them across different channels. The consultant can also create breakdowns of the revenue by channel by using the channel attribute as a dimension in the metric definition. References: Metrics on Metrics, Create Metrics on Metrics

質問 # 134
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Charles Foster Charles Foster

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