Data-Cloud-Consultant試験概要、Data-Cloud-Consultant復習資料

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Salesforce Data-Cloud-Consultant Exam Overview:

Certification Vendor:Salesforce
Exam Name:Salesforce Certified Data 360 Consultant (formerly Salesforce Certified Data Cloud Consultant)
Exam Number:Data-Con-101 / Data-Cloud-Consultant
Certificate Validity Period:3 years
Real Exam Qty:60 (plus up to 5 unscored questions)
Exam Format:Scenario-based questions, Multiple-select, Multiple-choice
Available Languages:English
Passing Score:62% - 70%
Exam Price:USD $200 + applicable taxes
Exam Duration:105 minutes
Related Certifications:Salesforce Certified Data Architect
Salesforce Certified Administrator
Salesforce Certified Marketing Cloud Consultant
Recommended Training:Salesforce Trailhead - Data 360 / Data Cloud Learning Path
Exam Registration:Salesforce Webassessor Registration
Sample Questions:Salesforce Data-Cloud-Consultant Sample Questions
Exam Way:Online proctored or onsite at authorized testing centers
Pre Condition:No mandatory prerequisites; recommended: 1–2 years experience in data management, Salesforce implementation, or CDP solutions
Official Syllabus URL:https://help.salesforce.com/s/articleView?id=005298940&language=en_US

>> Data-Cloud-Consultant試験概要 <<

Data-Cloud-Consultant復習資料 & Data-Cloud-Consultant日本語対策問題集

お客様に最も信頼性の高いバックアップを提供するという信念から当社のData-Cloud-Consultant試験問題を作成し、優れた結果により、試験受験者の機能に対する心を捉えました。 Data-Cloud-Consultant練習資料は、3つのバージョンに分類できます。 これらのバージョンの使用はすべて、彼らに受け入れられています。 これらのバージョンのData-Cloud-Consultant模擬練習には大きな格差はありませんが、能力を強化し、レビュープロセスをスピードアップして試験に関する知識を習得するのに役立ちます。そのため、レビュープロセスは妨げられません。

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
  • データ クラウドの概要: このトピックでは、データ クラウドの機能、主要な用語、ビジネス価値、一般的な使用例、データ クラウドのライフサイクル、依存関係、およびデータ倫理の原則について説明します。これらのサブトピックでは、データ クラウドの機能とアプリケーションの概要を説明します。
トピック 2
  • Data Cloud のセットアップと管理: このトピックには、Data Cloud の権限、権限セット、組織全体の設定の適用が含まれます。データ ストリームの種類とデータ バンドルについて説明し、構成します。さらに、データ スペースの使用例、データ スペースの作成、レポート、ダッシュボード、フロー、パッケージ化、データ キットを使用した Data Cloud の管理、Data Explorer、Profile Explorer、API を使用したデータの診断と探索についても説明します。
トピック 3
  • アイデンティティ解決: マッチングとそのルール セットの適用方法について説明します。さらに、データとそのルール セットの調整、アイデンティティ解決の結果、およびユース ケースについても説明します。

Salesforce Certified Data 360 Consultant (Data-Con-101) 認定 Data-Cloud-Consultant 試験問題 (Q30-Q35):

質問 # 30
A consultant is helping a beauty company ingest its profile data into Data Cloud. The company's source data includes several fields, such as eye color, skin type, and hair color, that are not fields in the standardIndividual data model object (DMO).
What should the consultant recommend to map this data to be used for both segmentation and identity resolution?

正解:A

解説:
Explanation
The best option to map the data to be used for both segmentation and identity resolution is to create custom fields on the standard Individual DMO. This way, the consultant can leverage the existing fields and functionality of the Individual DMO, such as identity resolution rulesets, calculated insights, and data actions, while adding the additional fields that are specific to the beauty company's data1. Creating a custom DMO from scratch or duplicating the standard Individual DMO would require more effort and maintenance, and might not be compatible with the existing features of Data Cloud. Creating a custom DMO with only the additional fields and mapping it to the standard Individual DMO would create unnecessary complexity and redundancy, and might not allow the use of the custom fields for identity resolution. References:
* 1: Data Model Objects in Data Cloud


質問 # 31
A Data Cloud consultant recently discovered that their identity resolution process is matching individuals that share email addresses or phone numbers, but are not actually the same individual.
What should the consultant do to address this issue?

正解:A

解説:
Explanation
Identity resolution is the process of linking source profiles from different data sources into unified individual profiles based on match and reconciliation rules. If the identity resolution process is matching individuals that share email addresses or phone numbers, but are not actually the same individual, it means that the match rules are too loose and need to be refined. The best way to address this issue is to create and run a new ruleset with stricter matching criteria, such as adding more attributes or increasing the match score threshold. Then, the consultant can compare the two rulesets to review and verify the results, and see if the new ruleset reduces the false positives and improves the accuracy of the identity resolution. Once the new ruleset is approved, the consultant can migrate to the new ruleset and delete the old one. The other options are incorrect because modifying the existing ruleset can affect the existing unified profiles and cause data loss or inconsistency.
Creating and running a new ruleset with fewer matching rules can increase the false negatives and reduce the coverage of the identity resolution. References: Create Unified Individual Profiles, AI-based Identity Resolution: Linking Diverse Customer Data, Data Cloud Identiy Resolution.


質問 # 32
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?

正解:A

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 # 33
A Data Cloud consultant recently discovered that their identity resolution process is matching individuals that share email addresses or phone numbers, but are not actually the same individual.
What should the consultant do to address this issue?

正解:A

解説:
Identity resolution is the process of linking source profiles from different data sources into unified individual profiles based on match and reconciliation rules. If the identity resolution process is matching individuals that share email addresses or phone numbers, but are not actually the same individual, it means that the match rules are too loose and need to be refined. The best way to address this issue is to create and run a new ruleset with stricter matching criteria, such as adding more attributes or increasing the match score threshold. Then, the consultant can compare the two rulesets to review and verify the results, and see if the new ruleset reduces the false positives and improves the accuracy of the identity resolution. Once the new ruleset is approved, the consultant can migrate to the new ruleset and delete the old one. The other options are incorrect because modifying the existing ruleset can affect the existing unified profiles and cause data loss or inconsistency. Creating and running a new ruleset with fewer matching rules can increase the false negatives and reduce the coverage of the identity resolution. Reference: Create Unified Individual Profiles, AI-based Identity Resolution: Linking Diverse Customer Data, Data Cloud Identiy Resolution.


質問 # 34
A consultant notices that the unified individual profile is not storing the latest email address.
Which action should the consultant take to troubleshoot this issue?

正解:B

解説:
Understanding Unified Individual Profile:
* The unified individual profile combines data from multiple sources to create a comprehensive view of each customer.


質問 # 35
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