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[General] Salesforce Data-Cloud-Consultant認定資格 & Data-Cloud-Consultantダウンロード

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【General】 Salesforce Data-Cloud-Consultant認定資格 & Data-Cloud-Consultantダウンロード

Posted at 10 hour before      View：4 | Replies：0        Print      Only Author   [Copy Link] 1#
P.S.MogiExamがGoogle Driveで共有している無料の2026 Salesforce Data-Cloud-Consultantダンプ：https://drive.google.com/open?id=1ypwcbaRHEnM8bqH1XrbnJMpDjj6aiVpx
時間とお金の集まりより正しい方法がもっと大切です。Data-Cloud-Consultant試験のために勉強していますなら、我々の提供するData-Cloud-Consultant試験ソフトはあなたの選びの最高です。信じられないなら、デモをご覧ください。我々も返金保障があります。180日以内、お客様はData-Cloud-Consultant試験に失敗したら、我々はお客様の支払った金額をお客様に戻り返すことができます。
Data-Cloud-Consultant準備試験では、国内および海外の専門家と学者を取り入れた専門家のチームを集めて、関連する試験銀行の調査と設計を行い、受験者がData-Cloud-Consultant試験に合格するのを支援します。ほとんどの専門家は長年プロの分野で勉強しており、Data-Cloud-Consultant練習問題で多くの経験を蓄積しています。当社は才能の選択にかなり慎重であり、夢のData-Cloud-Consultant認定の取得を支援するために、専門知識とスキルを備えた従業員を常に雇用しています。
Data-Cloud-Consultantダウンロード、Data-Cloud-Consultantテスト対策書ユーザーのニーズによりよく応えるために、Data-Cloud-Consultant調査の質問では、ユーザーがプロのワンストップサービスを利用できるように、サービスシステムの完全なセットを設定しました。ユーザー向けのプレセールで無料デモを提供するだけでなく、ユーザーが購入できる3つのバージョンを選択できると同時に、Data-Cloud-Consultantトレーニング資料も24時間のアフターサービスを提供します。私たちのData-Cloud-Consultantテストガイドの完璧なワンストップサービスは、あなたが選択を後悔することはないと信じており、あなたの時間、完全な勉強、効率的にData-Cloud-Consultant試験に合格することができると信じています。
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 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
  • 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
  • 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 4
  • 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.

Salesforce Certified Data Cloud Consultant 認定 Data-Cloud-Consultant 試験問題 (Q28-Q33):質問 # 28
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. Identity resolution rules have been added to the ruleset to increase the number of matched profiles.
  • B. New data sources have been added to Data Cloud that largely overlap with the existing profiles.
  • C. Duplicates have been removed from source system data streams.
  • D. Identity resolution rules have been removed to reduce the number of matched profiles.
正解：A、B
解説：
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.
References: Identity Resolution Calculated Insight: Consolidation Rates for Unified Profiles, Configure Identity Resolution Rulesets

質問 # 29
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 .zip file
  • B. The json file
  • C. The .csv file
  • D. The .txt file
正解：B
解説：
Explanation
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 # 30
A Data Cloud Consultant Is in the process of setting up data streams for a new service-based data source.
When ingesting Case data, which field is recommended to be associated with the Event Time field?
  • A. Creation Date
  • B. Last Modified Date
  • C. Escalation Date
  • D. Resolution Date
正解：A
解説：
The Event Time field is a special field type that captures the timestamp of an event in a data stream. It is used to track the chronological order of events and to enable time-based segmentation and activation. When ingesting Case data, the recommended field to be associated with the Event Time field is the Last Modified Date field. This field reflects the most recent update to the case and can be used to measure the case duration, resolution time, and customer satisfaction. The other fields, such as Resolution Date, Escalation Date, or Creation Date, are not as suitable for the Event Time field, as they may not capture the latest status of the case or may not be applicable for all cases. References: Data Stream Field Types, Salesforce Data Cloud Exam Questions

質問 # 31
An automotive dealership wants to implement Data Cloud.
What is a use case for Data Cloud's capabilities?
  • A. Use browser cookies to track visitor activity on the website and display personalized recommendations.
  • B. Build a source of truth for consent management across all unified individuals.
  • C. Ingest customer interaction across different touch points, harmonize, and build a data model for analytical reporting.
  • D. Implement a full archive solution with version management.
正解：C
解説：
The most relevant use case for implementing Salesforce Data Cloud in an automotive dealership is ingesting customer interactions across different touchpoints, harmonizing the data, and building a data model for analytical reporting . Here's why:
1. Understanding the Use Case
Salesforce Data Cloud is designed to unify customer data from multiple sources, harmonize it into a single view, and enable actionable insights through analytics and segmentation. For an automotive dealership, this means:
Collecting data from various touchpoints such as website visits, service appointments, test drives, and marketing campaigns.
Harmonizing this data into a unified profile for each customer.
Building a data model that supports advanced analytical reporting to drive business decisions.
This use case aligns perfectly with Data Cloud's core capabilities, making it the most appropriate choice.
2. Why Not Other Options?
Option A: Implement a full archive solution with version management.
Salesforce Data Cloud is not primarily an archiving or version management tool. While it can store historical data, its focus is on unifying and analyzing customer data rather than providing a full-fledged archival solution with version control.
Tools like Salesforce Shield or external archival systems are better suited for this purpose.
Option B: Use browser cookies to track visitor activity on the website and display personalized recommendations.
While Salesforce Data Cloud can integrate with tools like Marketing Cloud Personalization (Interaction Studio) to deliver personalized experiences, it does not directly manage browser cookies or real-time web tracking.
This functionality is typically handled by specialized tools like Interaction Studio or third-party web analytics platforms.
Option C: Build a source of truth for consent management across all unified individuals.
While Data Cloud can help manage unified customer profiles, consent management is better handled by Salesforce's Consent Management Framework or other dedicated compliance tools.
Data Cloud focuses on data unification and analytics, not specifically on consent governance.
3. How Data Cloud Supports Option D
Here's how Salesforce Data Cloud enables the selected use case:
Step 1: Ingest Customer Interactions
Data Cloud connects to various data sources, including CRM systems, websites, mobile apps, and third-party platforms.
For an automotive dealership, this could include:
Website interactions (e.g., browsing vehicle models).
Service center visits and repair history.
Test drive bookings and purchase history.
Marketing campaign responses.
Step 2: Harmonize Data
Data Cloud uses identity resolution to unify customer data from different sources into a single profile for each individual.
For example, if a customer interacts with the dealership via email, phone, and in-person visits, Data Cloud consolidates these interactions into one unified profile.
Step 3: Build a Data Model
Data Cloud allows you to create a data model that organizes customer attributes and interactions in a structured way.
This model can be used to analyze customer behavior, segment audiences, and generate reports.
For instance, the dealership could identify customers who frequently visit the service center but haven't purchased a new vehicle recently, enabling targeted upsell campaigns.
Step 4: Enable Analytical Reporting
Once the data is harmonized and modeled, it can be used for advanced analytics and reporting.
Reports might include:
Customer lifetime value (CLV).
Campaign performance metrics.
Trends in customer preferences (e.g., interest in electric vehicles).
4. Salesforce Documentation Reference
According to Salesforce's official Data Cloud documentation:
Data Cloud is designed to unify customer data from multiple sources, enabling businesses to gain a 360-degree view of their customers.
It supports harmonization of data into a single profile and provides tools for segmentation and analytical reporting .
These capabilities make it ideal for industries like automotive dealerships, where understanding customer interactions across touchpoints is critical for driving sales and improving customer satisfaction.

質問 # 32
The Salesforce CRM Connector is configured and the Case object data stream is set up. Subsequently, a new custom field named Business Priority is created on the Case object in Salesforce CRM. However, the new field is not available when trying to add it to the data stream.
Which statement addresses the cause of this issue?
  • A. The Salesforce Data Loader application should be used to perform a bulk upload from a desktop.
  • B. The Salesforce Integration User Is missing Rad permissions on the newly created field.
  • C. Custom fields on the Case object are not supported for ingesting into Data Cloud.
  • D. After 24 hours when the data stream refreshes it will automatically include any new fields that were added to the Salesforce CRM.
正解：B
解説：
The Salesforce CRM Connector uses the Salesforce Integration User to access the data from the Salesforce CRM org. The Integration User must have the Read permission on the fields that are included in the data stream. If the Integration User does not have the Read permission on the newly created field, the field will not be available for selection in the data stream configuration. To resolve this issue, the administrator should assign the Read permission on the new field to the Integration User profile or permission set. References: Create a Salesforce CRM Data Stream, Edit a Data Stream, Salesforce Data Cloud Full Refresh for CRM, SFMC, or Ingestion API Data Streams

質問 # 33
......
親愛なる受験生の皆様、何かSalesforceのData-Cloud-Consultant試験のトレーニング授業に加入したいのですか。実は措置を取ったら一回で試験に合格することができます。MogiExamのSalesforceのData-Cloud-Consultant試験のトレーニング資料はとても良い選択なんですよ。MogiExamの仮想ネットワークトレーニングと授業は大量の問題集に含まれていますから、ぜひあなたが気楽に試験に合格することを約束します。
Data-Cloud-Consultantダウンロード: https://www.mogiexam.com/Data-Cloud-Consultant-exam.html
P.S. MogiExamがGoogle Driveで共有している無料かつ新しいData-Cloud-Consultantダンプ：https://drive.google.com/open?id=1ypwcbaRHEnM8bqH1XrbnJMpDjj6aiVpx
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