Exam Code: Tableau-CRM-Einstein-Discovery-Consultant
Exam Name: Salesforce Tableau CRM Einstein Discovery Consultant (Tableau-CRM-Einstein-Discovery-Consultant日本語版)
Certification Provider: Salesforce
Corresponding Certification: Salesforce Consultant
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Salesforce Tableau-CRM-Einstein-Discovery-Consultant日本語 Exam Syllabus Topics:

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

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

                    1. インサイトリストでは、インサイトはどのような順序でランク付けされていますか?

                    A) 地理空間
                    B) 時間
                    C) 注文はありません
                    D) アルファベット順
                    E) 統計的有意性


                    2. 示す:

                    ある会社は、クローズドウォンの機会の進化を視覚化するためのタイムラインチャートを作成したいと考えています。示されている画像と同様の出力を表示するレンズを構築するために必要なパラメーターは何ですか?

                    A) 1つのメジャー、日付フィールドによる1つのグループ化、およびトレリスが無効になっている場合はディメンションによる0-1のグループ化、トレリスが有効になっている場合は0-2のグループ化
                    B) 2小節、トレリスが無効の場合は0〜2のグループ化、トレリスが有効の場合は0〜4のグループ化
                    C) 1小節、トレリスが無効の場合は0のグループ化、トレリスが有効の場合は0〜2のグループ化
                    D) 1小節、トレリスが無効の場合は1〜2のグループ化、トレリスが有効の場合は1〜4のグループ化


                    3. バインディングの2つのタイプは何ですか?2を選択します。

                    A) 説明バインディング
                    B) セレクションバインディング
                    C) データバインディング
                    D) 結果のバインド


                    4. モデルを既存の予測にデプロイする場合、w 数を考慮する必要があります"1

                    A) 10: 予測定義のモデル数の制限。
                    B) 5: 予測定義の総数の制限。
                    C) 20: 予測定義のモデル数の制限。
                    D) 3: モデルの総数の制限。


                    5. ダッシュボードデータセットは拡大しており、EinsteinAnalyticsコンサルタントはパフォーマンスへの影響に気づいています。コンサルタントはいくつかの調整を行う必要があります。
                    ダッシュボードのパフォーマンスを向上させるためにコンサルタントが実行できる3つのアクションはどれですか?3つの答えを選択してください

                    A) ダッシュボードウィジェットを再編成します。
                    B) 個別のステップフィルターをグローバルフィルターに置き換えます。
                    C) ステップを別々のページに分散します。
                    D) 計算をデータフローに移動します。
                    E) 実行時にSAQLコードを使用してデータセットを結合します。


                    Solutions:

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

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