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Salesforce Tableau-CRM-Einstein-Discovery-Consultant日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Analytics Dashboard Implementation | 19% | - Monitoring and optimizing query performance using Dashboard Inspector - Developing selection/result interactions with different query types - Implementing delivery management strategies using versioning and/or Dashboard Publisher - Making dashboards actionable and accessible in Lightning pages - Using advanced functionality such as windowing and time series analysis in compare tables - Configuring dashboards using accurate query types and widget-level parameters |
| Data Layer | 24% | - Dataflow configuration for multi-object scenarios - Data transformation and loading into Einstein datasets - Incremental sync configuration - Troubleshooting failed dataflow jobs - Understanding denormalized sequential datasets - Data extraction from sources |
| 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 |
| Einstein Discovery | 12% | - Enabling prediction features on Lightning record pages across Salesforce and CRM Analytics - Adjusting data parameters and adding/removing data or columns to improve models - Monitoring and interpreting Model Cards to improve or maintain model performance - Building models by assessing data and selecting prediction types (numeric, binary, multi-classification) - Analyzing model results and proposing data improvements |
| Administration | 16% | - SAQL query language for dashboard JSON and lens queries - Managing CRM Analytics environment and configurations - Understanding recipes (Data Prep) for visual ETL interface - Embedding analytics in Salesforce |
| Security | 16% | - Dataset security settings using sharing inheritance and security predicates - Implementing security settings for users, groups, and profiles - App sharing based on user and group requirements |
Salesforce Tableau CRM Einstein Discovery Consultant (Tableau-CRM-Einstein-Discovery-Consultant日本語版) Sample Questions:
Question 1
コンサルタントがビューを入力された値で囲まれたドメインに制限できるウィジェットプロパティはどれですか？
A. 範囲でフィルタリング
B. カスタム範囲を追加
C. カスタムドメインを追加
D. フィルターを追加
Question 2
地域開発コーディネーターの役割が指定された地域とシードバンクの注文にのみアクセスできるようにするために使用できるセキュリティ機能はどれですか？
A. 共有ルール
B. 地域ごとに個別のアプリ
C. セキュリティ述語
D. 継承されたセキュリティ
Question 3
Einstein Discovery ストーリーの結果がビジネス ユーザーとともにレビューされます。彼らは調査結果に同意しましたが、ストーリーで使用されたフィールドのどれも 4% を超える相関値を持たないことに気付きました。クライアントは、モデルが次のステップに進むのに十分ではないのではないかと懸念していますか?
A. モデル品質メトリック値が十分な場合は、デプロイメントを続行します。
B. モデルの精度設定を編集し、ストーリーを再実行します。
C. 結果変数とより強い関係がある可能性のある追加データを特定します。
D. 別のアルゴリズムでストーリーを再実行して更新します。
Question 4
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. 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。
B. 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。
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. 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。
Question 5
バインディングを使用する前に、ファセットを使用してウィジェット間の相互作用を指定してみてください。
A. 偽
B. 真
Solutions:
| Question 1 Answer: C | Question 2 Answer: C | Question 3 Answer: A,C | Question 4 Answer: B | Question 5 Answer: B |
