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Salesforce Tableau-CRM-Einstein-Discovery-Consultant日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Security | 16% | - Implementing security settings for users, groups, and profiles - App sharing based on user and group requirements - Dataset security settings using sharing inheritance and security predicates |
| Einstein Discovery | 12% | - Enabling prediction features on Lightning record pages across Salesforce and CRM Analytics - Monitoring and interpreting Model Cards to improve or maintain model performance - Analyzing model results and proposing data improvements - Adjusting data parameters and adding/removing data or columns to improve models - Building models by assessing data and selecting prediction types (numeric, binary, multi-classification) |
| Administration | 16% | - SAQL query language for dashboard JSON and lens queries - Embedding analytics in Salesforce - Understanding recipes (Data Prep) for visual ETL interface - Managing CRM Analytics environment and configurations |
| Analytics Dashboard Design | 13% | - Identifying appropriate use and configuration of standard CRM Analytics templated apps - Creating dashboards following CRM Analytics best practices and UX design principles - Scoping, validating, and prioritizing dashboard design requirements |
| Data Layer | 24% | - Troubleshooting failed dataflow jobs - Understanding denormalized sequential datasets - Incremental sync configuration - Data extraction from sources - Data transformation and loading into Einstein datasets - Dataflow configuration for multi-object scenarios |
| Analytics Dashboard Implementation | 19% | - Making dashboards actionable and accessible in Lightning pages - Implementing delivery management strategies using versioning and/or Dashboard Publisher - Configuring dashboards using accurate query types and widget-level parameters - Monitoring and optimizing query performance using Dashboard Inspector - Developing selection/result interactions with different query types - Using advanced functionality such as windowing and time series analysis in compare tables |
Salesforce Tableau CRM Einstein Discovery Consultant (Tableau-CRM-Einstein-Discovery-Consultant日本語版) Sample Questions:
アインシュタインディスカバリーストーリーのモデル品質メトリックは、4つのフォールドのGINI係数がそれぞれ0.82、0.83、0.84、および0.75であることを示しています。
コンサルタントが取るべき2つのアクションはどれですか？2つの答えを選択してください
- A. ストーリーを展開する前に、全体的なGINI係数が良好であることを確認します。
- B. メトリックの変動は通常の範囲内であるため、ストーリーを展開します。
- C. データセットを調査して、ターゲットフィールドの外れ値と、ストーリーの上部に表示される主な予測子を確認します。
- D. ストーリーをすぐに展開しないでください。また、1つのフォールドが他のフォールドよりもパフォーマンスが悪い理由を調べてください。
Correct Answer: A,D 🗳️
Einstein Discoveryは、いくつかの異なる種類の推奨される洞察を提供します。これらの洞察のうち、説明的なものはどれですか？
- A. 違いは何ですか
- B. なぜそれが起こったのか
- C. 何が起こったのか
- D. 予測と改善
Correct Answer: C 🗳️
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Universal Containersには、セールスマネージャー用のダッシュボードがあります。彼らは、月、四半期、または年ごとにクローズドウォンの機会の数を視覚化し、その結果を単一のチャートに表示する機能を必要としています。Einsteinコンサルタントは、ClosedDate_month、ClosedDate_quarter、およびClosedDate_yearの3つの値を表示する静的ステップを作成しました。
コンサルタントは次に何をすべきですか？
- A. 選択バインディングを使用して、チャートのグループ化を更新します。
- B. ネストされたバインディングを使用して、グラフのグループ化を更新します。
- C. 選択バインディングを使用して、チャートのメジャーを更新します。
- D. 結果バインディングを使用して、グラフのメジャーを更新します。
Correct Answer: A 🗳️
最初にAnalyticsを無効にしてから、後でAnalyticsを再度有効にするとどうなりますか？2を選択
- A. Analyticsが無効になっている場合、定義された各権限セットからユーザー権限が削除されます。（逃した）
- B. Analyticsが無効になっている場合、定義された各権限セットからユーザー権限は削除されません。
- C. Analyticsが再度有効になっている場合は、権限セットを再度定義しないでください。
- D. Analyticsを再度有効にした場合は、権限セットを再度定義する必要があります。（逃した）
Correct Answer: A,D 🗳️
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データセットを作成するための2つの主な手順は何ですか？
- A. 構築して探索する
- B. 抽出して準備する
- C. 実行および監視
- D. 計画と地図
Correct Answer: B 🗳️
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