최신버전Data-Cloud-Consultant최신시험완벽한덤프샘플문제

Itcertkr의Salesforce Data-Cloud-Consultant교육 자료는 고객들에게 높게 평가 되어 왔습니다. 그리고 이미 많은 분들이 구매하셨고Salesforce Data-Cloud-Consultant시험에서 패스하여 검증된 자료임을 확신 합니다. Salesforce Data-Cloud-Consultant시험을 패스하여 자격증을 취득하면IT 직종에 종사하고 계신 고객님의 성공을 위한 중요한 요소들 중의 하나가 될 것이라는 것을 잘 알고 있음으로 더욱 믿음직스러운 덤프로 거듭나기 위해 최선을 다해드리겠습니다.

Salesforce Data-Cloud-Consultant 시험요강:

주제	소개
주제 1	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.
주제 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.
주제 3	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.
주제 4	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.
주제 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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Data-Cloud-Consultant최신시험 시험준비에 가장 좋은 인기시험 기출문제자료

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최신 Salesforce Data Cloud Data-Cloud-Consultant 무료샘플문제 (Q153-Q158):

질문 # 153
A finance company that uses Data Cloud wants to simplify how its users can view all the various channels a customer engages with Which feature should the consultant recommend to meet this requirement?

A. Use Data Cloud to connect with analytic tools, like Tableau.
B. Use calculated insights to determine when and how to engage with various customers.
C. Use Data Cloud to ingest data from various available data sources.
D. Create segments based on the ingested data and insights to activate in Marketing Cloud.

정답：A

설명：
To simplify how users can view all the various channels a customer engages with, the best solution is to use Data Cloud to connect with analytic tools like Tableau . Here's why and how this works:
Understanding the Requirement
The finance company wants its users to have a consolidated view of all customer engagement channels (e.g., email, social media, website interactions, etc.). This requires:
Aggregating data from multiple sources into a unified platform.
Providing an intuitive and visual way to analyze and interpret the data.
Why Use Data Cloud with Analytic Tools like Tableau?
Data Cloud as a Centralized Data Hub :Salesforce Data Cloud aggregates data from multiple sources (e.g., CRM, Marketing Cloud, external systems) into a unified platform. This ensures that all customer engagement data is available in one place.
Tableau for Advanced Visualization :
Tableau is a powerful analytics and visualization tool that integrates seamlessly with Salesforce Data Cloud.
It allows users to create interactive dashboards and reports that provide a comprehensive view of customer engagement across all channels.
Users can drill down into specific channels, analyze trends, and gain actionable insights without needing advanced technical skills.
Simplified User Experience :By leveraging Tableau's intuitive interface, users can easily explore and understand customer engagement patterns without requiring deep knowledge of the underlying data structure.
Steps to Implement This Solution
Step 1: Ingest Data into Data Cloud
Ensure that all relevant customer engagement data (e.g., website visits, email interactions, social media activity) is ingested into Data Cloud from various sources.
Use Data Streams to bring in data from CRM, Marketing Cloud, and other external systems.
Step 2: Connect Data Cloud to Tableau
Navigate to Setup > Analytics > Tableau CRM in Salesforce.
Configure the integration between Data Cloud and Tableau to enable seamless data flow.
Step 3: Create Dashboards in Tableau
Use Tableau to build dashboards that consolidate customer engagement data from all channels.
Include visualizations such as bar charts, heatmaps, and trend lines to highlight key insights (e.g., most active channels, engagement frequency, etc.).
Step 4: Share Dashboards with Users
Publish the dashboards to Tableau Server or Tableau Online.
Provide access to the relevant users within the finance company so they can view and interact with the dashboards.
Why Not Other Options?
B). Use calculated insights to determine when and how to engage with various customers :While calculated insights are useful for understanding customer behavior, they do not provide a consolidated view of all engagement channels. This option focuses more on decision-making rather than visualization.
C). Create segments based on the ingested data and insights to activate in Marketing Cloud :Segmentation is valuable for targeting specific groups of customers, but it does not address the requirement to view all engagement channels in one place. Segments are more about grouping customers rather than providing a holistic view.
D). Use Data Cloud to ingest data from various available data sources :While ingesting data is a critical first step, it does not solve the problem of simplifying how users view engagement channels. The focus here is on data ingestion, not visualization or analysis.
Conclusion
By connecting Data Cloud with Tableau , the finance company can provide its users with a simplified and visually intuitive way to view all customer engagement channels. This approach lever

질문 # 154
A consultant is troubleshooting a segment error.
Which error message is solved by using calculated insights Instead of nested segments?

A. Segment is too complex.
B. Segment can't be published.
C. Segment population count failed.
D. Multiple population counts are in progress.

정답：A

질문 # 155
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. 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.
B. Marketing Cloud activations only activate those individuals that already exist in Marketing Cloud.They do not allow activation of new records.
C. Marketing Cloud activations automatically suppress individuals who are unengaged and have not opened or clicked on an email in the last six months.
D. Marketing Cloud activations apply a frequency cap and limit the number of records that can be sent in an activation.

정답：A

설명：
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. Reference: Data Cloud Activation, Contact Point for Marketing Cloud

질문 # 156
Cloud Kicks received a Request to be Forgotten by a customer.
In which two ways should a consultant use Data Cloud to honor this request?
Choose 2 answers

A. Add the Individual ID to a headerless file and use the delete from file functionality.
B. Use the Consent API to suppress processing and delete the Individual and related records from source data streams.
C. Delete the data from the incoming data stream and perform a full refresh.
D. Use Data Explorer to locate and manually remove the Individual.

정답：A,B

설명：
Explanation
To honor a Request to be Forgotten by a customer, a consultant should use Data Cloud in two ways:
* Add the Individual ID to a headerless file and use the delete from file functionality. This option allows the consultant to delete multiple Individuals from Data Cloud by uploading a CSV file with their IDs1. The deletion process is asynchronous and can take up to 24 hours to complete1.
* Use the Consent API to suppress processing and delete the Individual and related records from source data streams. This option allows the consultant to submit a Data Deletion request for an Individual profile in Data Cloud using the Consent API2. A Data Deletion request deletes the specified Individual entity and any entities where a relationship has been defined between that entity's identifying attribute and the Individual ID attribute2. The deletion process is reprocessed at 30, 60, and 90 days to ensure a full deletion2. The other options are not correct because:
* Deleting the data from the incoming data stream and performing a full refresh will not delete the existing data in Data Cloud, only the new data from the source system3.
* Using Data Explorer to locate and manually remove the Individual will not delete the related records from the source data streams, only the Individual entity in Data Cloud. References:
* Delete Individuals from Data Cloud
* Requesting Data Deletion or Right to Be Forgotten
* Data Refresh for Data Cloud
* [Data Explorer]

질문 # 157
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 the calculated insight in the activation.
B. Choose a segment.
C. Add additional attributes.
D. Select contact points.

정답：B,D

설명：
To configure an activation to a Marketing Cloud activation target, you need to choose a segment and select contact points. Choosing a segment allows you to specify which unified individuals you want to activate. Selecting contact points allows you to map the attributes from the segment to the fields in the Marketing Cloud data extension. You do not need to add additional attributes or add the calculated insight in the activation, as these are already part of the segment definition. Reference: Create a Marketing Cloud Activation Target; Types of Data Targets in Data Cloud

질문 # 158
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다른 방식으로 같은 목적을 이룰 수 있다는 점 아세요? 여러분께서는 어떤 방식, 어느 길을 선택하시겠습니까? 많은 분들은Salesforce인증Data-Cloud-Consultant시험패스로 자기 일에서 생활에서 한층 업그레이드 되기를 바랍니다. 하지만 모두 다 알고계시는그대로Salesforce인증Data-Cloud-Consultant시험은 간단하게 패스할 수 있는 시험이 아닙니다. 많은 분들이Salesforce인증Data-Cloud-Consultant시험을 위하여 많은 시간과 정신력을 투자하고 있습니다. 하지만 성공하는 분들은 적습니다.

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최신버전Data-Cloud-Consultant최신시험완벽한덤프샘플문제

Salesforce Data-Cloud-Consultant 시험요강:

Data-Cloud-Consultant최신시험 시험준비에 가장 좋은 인기시험 기출문제자료

최신 Salesforce Data Cloud Data-Cloud-Consultant 무료샘플문제 (Q153-Q158):