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Salesforce Tableau-CRM-Einstein-Discovery-Consultant日本語 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Preparation and Dataflows- Data Preparation Tools
  • 1. Data transformation logic
    • 2. Recipes and dataflows usage
      Topic 2: Einstein Discovery- Predictive Modeling Concepts
      • 1. Insights and recommendations
        • 2. Story creation and interpretation
          Topic 3: Security and Access- Row-Level Security
          • 1. Security predicates and sharing inheritance
            Topic 4: Analytics Dashboarding- Lenses and Dashboards
            • 1. Lens exploration and visualization types
              • 2. Creating and configuring dashboards
                Topic 5: Data Layer and Data Management- Data Modeling and Data Sources
                • 1. Data ingestion and transformation concepts
                  • 2. Understanding CRM Analytics datasets

                    Salesforce Tableau CRM Einstein Discovery Consultant (Tableau-CRM-Einstein-Discovery-Consultant日本語版) Sample Questions:

                    1. コンサルタントは、アカウントごとに存在する商談とケースの数を示す 1 つのクエリを作成する任務を負っています。
                    ケースと商談は、AccoundId を介して関連するアカウントへの参照を持つ 2 つの異なるデータセットで見つかります。
                    コンサルタントが Analytics Studio でクエリを作成するにはどのようなオプションがありますか?

                    A) fill ステートメント
                    B) 共用体ステートメント
                    C) cogroup または Union ステートメント
                    D) コグループステートメント


                    2. これらのうち、レコードレベルのアクセスを制御する方法ではないものはどれですか?

                    A) 共有ルール
                    B) 役割の階層
                    C) 組織全体のデフォルト
                    D) プロファイル


                    3. AnalyticsのCSVアップロードのステータスはどこで確認できますか?

                    A) [データセットの作成]ページ
                    B) データマネージャー
                    C) アナリティクスのホームページ
                    D) セットアップメニュー


                    4. ユーザーがデータセットに対してクエリを送信すると、Einstein Analyticsは何をチェックしますか?

                    A) ユーザーがアプリにアクセスできるかどうか
                    B) ユーザーがデータセットにアクセスできる場合
                    C) ユーザーがアクセスできる行
                    D) ユーザーがアクセスできるフィールド


                    5. Universal Containers(UC)は、Salesforceを利用し、さまざまな内部システムを備えた多国籍企業です。UCはデータ分析プラットフォームにEinsteinAnalyticsを使用しており、オンプレミスのデータウェアハウスからデータセットを作成するための毎週の手動プロセスを自動化したいと考えています。この要件を満たすために、コンサルタントはどのソリューションを推奨する必要がありますか?

                    A) Analyticsコネクタを利用します。
                    B) Analytics ExternalDataAPIでミドルウェアを利用する
                    C) データフローを利用する
                    D) Salesforceの毎週のエクスポート機能を利用する


                    Solutions:

                    Question # 1
                    Answer: C
                    Question # 2
                    Answer: D
                    Question # 3
                    Answer: B
                    Question # 4
                    Answer: C
                    Question # 5
                    Answer: B

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