Exam Name: Salesforce Tableau CRM Einstein Discovery Consultant (Tableau-CRM-Einstein-Discovery-Consultant日本語版)
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Salesforce Tableau-CRM-Einstein-Discovery-Consultant日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 |
| Topic 2: Data Layer | 24% | - Incremental sync configuration - Dataflow configuration for multi-object scenarios - Troubleshooting failed dataflow jobs - Understanding denormalized sequential datasets - Data extraction from sources - Data transformation and loading into Einstein datasets |
| Topic 3: Analytics Dashboard Design | 13% | - Identifying appropriate use and configuration of standard CRM Analytics templated apps - Scoping, validating, and prioritizing dashboard design requirements - Creating dashboards following CRM Analytics best practices and UX design principles |
| Topic 4: Administration | 16% | - Managing CRM Analytics environment and configurations - Understanding recipes (Data Prep) for visual ETL interface - Embedding analytics in Salesforce - SAQL query language for dashboard JSON and lens queries |
| Topic 5: Einstein Discovery | 12% | - Building models by assessing data and selecting prediction types (numeric, binary, multi-classification) - 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 - Enabling prediction features on Lightning record pages across Salesforce and CRM Analytics |
| Topic 6: Analytics Dashboard Implementation | 19% | - Using advanced functionality such as windowing and time series analysis in compare tables - 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 - Configuring dashboards using accurate query types and widget-level parameters - Making dashboards actionable and accessible in Lightning pages |
Salesforce Tableau CRM Einstein Discovery Consultant (Tableau-CRM-Einstein-Discovery-Consultant日本語版) Sample Questions:
Universal Containers は、ローカル Salesforce コネクタ内のオブジェクトの接続モードを評価しています。Order オブジェクトの更新されたレコードと新しいレコードのみを同期したいと考えていますが、オブジェクトにはいくつかの数式フィールドがあり、それらが毎週更新されるようにしたいと考えています。
どれの
この目的にはどの接続モードが最適ですか?
- A. 定期的な増分同期
- B. 定期的な完全同期
- C. インクリメンタル同期
- D. フル同期
Correct Answer: A 🗳️
目標に対して実現された売上高の進捗状況を追跡するのに最適なチャートタイプはどれですか？
- A. ピボットテーブル
- B. フラットゲージ
- C. 棒グラフ
- D. 円グラフ
Correct Answer: B 🗳️
Event Monitoring Analyticsアプリは、組織内の既存のデータの種類に事前に構築された洞察と分析をもたらしますか？
- A. フォレンジックデータ
- B. セールスクラウドデータログイン
- C. フィールド監査証跡データ
- D. イベントログファイルデータ
Correct Answer: D 🗳️
アナリティクスがSalesforceデータにアクセスするために使用する2人の内部ユーザーの権限はどれですか。
- A. Userオブジェクトに基づいて行レベルのセキュリティを持つデータセットをクエリすると、Analyticsはセキュリティユーザーの権限を使用してUserオブジェクトとそのフィールドにアクセスします。
- B. 各ユーザーには、対応するプロファイルが割り当てられています（AnalyticsCloudIntegrationユーザーおよびAnalyticsCloudSecurityユーザープロファイル）。
- C. Analyticsは、統合ユーザーの権限を使用して、データフロージョブの実行時にSalesforceオブジェクトおよびフィールドからデータを抽出します。
Correct Answer: A,B,C 🗳️
スケジュールされているが実行されていないETLジョブのタイムアウト
- A. 15分
- B. 20分
- C. 5分
- D. 10分
Correct Answer: C 🗳️
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