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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Administration | 16% | - Embedding analytics in Salesforce - Understanding recipes (Data Prep) for visual ETL interface - SAQL query language for dashboard JSON and lens queries - Managing CRM Analytics environment and configurations |
| Topic 2: Einstein Discovery | 12% | - Analyzing model results and proposing data improvements - Building models by assessing data and selecting prediction types (numeric, binary, multi-classification) - Monitoring and interpreting Model Cards to improve or maintain model performance - Adjusting data parameters and adding/removing data or columns to improve models - Enabling prediction features on Lightning record pages across Salesforce and CRM Analytics |
| Topic 3: Security | 16% | - App sharing based on user and group requirements - Dataset security settings using sharing inheritance and security predicates - Implementing security settings for users, groups, and profiles |
| Topic 4: Analytics Dashboard Implementation | 19% | - Making dashboards actionable and accessible in Lightning pages - Configuring dashboards using accurate query types and widget-level parameters - Implementing delivery management strategies using versioning and/or Dashboard Publisher - 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 |
| Topic 5: Data Layer | 24% | - Data transformation and loading into Einstein datasets - Incremental sync configuration - Data extraction from sources - Dataflow configuration for multi-object scenarios - Understanding denormalized sequential datasets - Troubleshooting failed dataflow jobs |
| Topic 6: Analytics Dashboard Design | 13% | - Creating dashboards following CRM Analytics best practices and UX design principles - Scoping, validating, and prioritizing dashboard design requirements - Identifying appropriate use and configuration of standard CRM Analytics templated apps |
1. 大企業には、すべての営業担当者の達成フィールドとコミッションフィールドを含む単一のデータセットがあります。各営業担当者は、部門内の各担当者の達成データを表示できる必要があります。各担当者は、自分のコミッションデータのみを表示できる必要があります。
この要件を適用するには、どのオプションを使用する必要がありますか?
A) 達成とコミッションのために別々のデータセットを作成し、セキュリティ述語を適用したり、継承を共有したりします。
B) 共有継承を使用します。
C) 既存の単一データセットにセキュリティ述語を適用します。
D) 販売組織を達成データセットアクセスリストに追加します。
2. Sales Analyticsアプリを使用するには、どの権限セットライセンスが必要ですか?
A) セールスウェーブ
B) アナリティクステンプレートアプリ
C) セキュリティユーザー
D) 販売分析アプリ
3. 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) 3: モデルの総数の制限。
B) 20: 予測定義のモデル数の制限。
C) 10: 予測定義のモデル数の制限。
D) 5: 予測定義の総数の制限。
4. Tableau CRMコンサルタントは、レシピを使用して新しいデータセットを作成することにしました。
レシピに使用できる2つのソースタイプはどれですか?
2つの答えを選択してください
A) 既存のデータセット
B) Salesforceオブジェクトからのレコード
C) データセットレンズ
D) 接続データ(同期)
5. 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ますか?
A) 時間
B) アルファベット順
C) 統計的有意性
D) 順序はありません
E) 地理空間
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: A,D | Question # 5 Answer: C |
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