Salesforce Certified Data 360 Consultant (Data-Cloud-Consultant日本語版) : Data-Cloud-Consultant日本語

  • Exam Code: Data-Cloud-Consultant日本語
  • Exam Name: Salesforce Certified Data 360 Consultant (Data-Cloud-Consultant日本語版)
  • Updated: Oct 26, 2026     Q & A: 116 Questions and Answers

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Salesforce Data-Cloud-Consultant日本語 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 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.
Topic 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.
Topic 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.

Reference: https://trailheadacademy.salesforce.com/certificate/exam-data-cloud---Data-Con-101

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Salesforce Certified Data 360 Consultant (Data-Cloud-Consultant日本語版) Sample Questions:

Question #1

どのデータモデル領域が、製品ファミリーごとの商談における収益または数量を定義しますか?

  • A. 販売注文
  • B. 製品
  • C. パーティー
  • D. エンゲージメント
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #2

データアーキテクトは、カスタムの車両データモデルオブジェクト(DMO)と標準の個人DMOとの間の関係をモデル化し、自動車の所有権を追跡しようとしています。要件では、1台の車両は1人の個人のみが所有できますが、1人の個人は複数の車両を所有できます。車両から個人へのこの関係を作成する際に、アーキテクトはどのカーディナリティを選択すべきでしょうか?

  • A. 1対1(1:1)
  • B. 多対一 (N:1)
  • C. 多対多 (N:N)
  • D. 1対多 (1:N)
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #3

マーケターは、顧客の生涯ロイヤルティポイントに基づいて顧客をセグメント化する必要があります。そのためには、データレイクから取得した履歴台帳とCommerce Cloudデータストリームから、ポイントベースのすべての取引を合計する必要があります。マーケターはどのツールを使用すべきでしょうか?

  • A. バッチ変換
  • B. ストリーミング変換
  • C. 計算された洞察
  • D. 二次索引
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #4

Data 360 コンサルタントは、CRM から Data 360 に取り込まれた商談の成約までの時間を予測するモデルを Einstein Studio 上に構築する必要があります。サポートされているモデルタイプに基づくと、次のうち正しい記述はどれですか?

  • A. コンサルタントは、二値分類モデルを使用して、完了までの期間が長いか短いかを判断する必要があります。
  • B. コンサルタントは、目標とする結果が数値指標であるため、回帰モデルを使用する必要があります。
  • C. コンサルタントは、マルチクラス分類モデルを使用して、契約締結までの時間を仕様ごとに分類する必要があります。
  • D. コンサルタントは、結果がテキストデータとして表現されるため、多クラス分類モデルを使用する必要があります。
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #5

グローバルなeコマース企業は、Salesforce Data 360を使用して、Salesforce CRM、Commerce Cloud、Snowflakeなど複数のシステムにわたる顧客プロファイルを統合しています。同社は、Snowflake全体で統合された顧客データを安全に活用し、分析や下流のユースケースをサポートしたいと考えています。ソリューションは以下の要件を満たす必要があります。Snowflakeからアクセスされる顧客データは読み取り専用であること。顧客プロファイルの更新はほぼリアルタイムで利用可能であること。全体的なアーキテクチャは、運用上の複雑さとデータの重複を最小限に抑えること。Data 360コンサルタントは、どのアプローチを推奨すべきでしょうか?

  • A. Data 360 のデータをクラウドストレージに毎晩エクスポートし、自動化されたパイプラインを使用して Snowflake にロードするようにスケジュールします。
  • B. REST API を介して Data 360 データを公開し、ストリーミング取り込みを使用して Snowflake に取り込みます。
  • C. Data 360 のデータを Salesforce 標準オブジェクトに複製し、抽出、変換、ロード (ETL) ツールを使用してそれらのオブジェクトを Snowflake に同期します。
  • D. Data 360データ共有を使用して、統合された顧客データをSnowflakeに直接共有します。
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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