Salesforce Tableau-CRM-Einstein-Discovery-Consultant-JPN Questions & Answers - in .pdf
- Total Q&A: 244
- Update: Aug 07, 2026
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- Vendor: Salesforce
- Exam Code: Tableau-CRM-Einstein-Discovery-Consultant-JPN
- Exam Name: Salesforce Tableau CRM Einstein Discovery Consultant (Tableau-CRM-Einstein-Discovery-Consultant日本語版)
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- Total Q&A: 244
- Update: Aug 07, 2026
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- Exam Code: Tableau-CRM-Einstein-Discovery-Consultant-JPN
- 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: 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
|
| Topic 2: Einstein Discovery | 12% | - Enabling prediction features on Lightning record pages across Salesforce and CRM Analytics
- Building models by assessing data and selecting prediction types (numeric, binary, multi-classification)
- Analyzing model results and proposing data improvements
- Adjusting data parameters and adding/removing data or columns to improve models
- Monitoring and interpreting Model Cards to improve or maintain model performance
|
| Topic 3: Analytics Dashboard Implementation | 19% | - Making dashboards actionable and accessible in Lightning pages
- Monitoring and optimizing query performance using Dashboard Inspector
- Implementing delivery management strategies using versioning and/or Dashboard Publisher
- Using advanced functionality such as windowing and time series analysis in compare tables
- Configuring dashboards using accurate query types and widget-level parameters
- Developing selection/result interactions with different query types
|
| Topic 4: Data Layer | 24% | - Data extraction from sources
- Troubleshooting failed dataflow jobs
- Incremental sync configuration
- Dataflow configuration for multi-object scenarios
- Data transformation and loading into Einstein datasets
- Understanding denormalized sequential datasets
|
| Topic 5: Administration | 16% | - Understanding recipes (Data Prep) for visual ETL interface
- SAQL query language for dashboard JSON and lens queries
- Embedding analytics in Salesforce
- Managing CRM Analytics environment and configurations
|
| Topic 6: Security | 16% | - Dataset security settings using sharing inheritance and security predicates
- App sharing based on user and group requirements
- Implementing security settings for users, groups, and profiles
|
Salesforce Tableau CRM Einstein Discovery Consultant (Tableau-CRM-Einstein-Discovery-Consultant日本語版) Sample Questions:
1. ある企業が、Tableau CRM コンサルタントにローカル データ同期のパフォーマンスのレビューを依頼しました。
未使用のオブジェクトとフィールドを接続から削除した後
データ、データ同期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他にできることは何ですか?」*
A) 分析設定で高速同期を有効にする
B) 同期速度を上げるには、Salesforce サポートにお問い合わせください。
C) 同期されたオブジェクトを結合します
D) 接続されたオブジェクトごとに接続モードを評価します
2. Einstein Analyticsのコンサルタントは、会社が営業活動について報告するのを手伝うように依頼されます。同社は、独自のダッシュボードを作成するように一部のユーザーをトレーニングしたいと考えています。また、別のチームがダッシュボードのみを使用できるようにすることも望んでいます。
これらの要件に対応するために何を構成する必要がありますか？
A) 2つの異なるアクセスレベルでアクセス許可セットライセンスを使用します。
B) アプリに「管理」アクセス許可を付与します。
C) システム権限が異なる2つの権限セットを作成します。
D) 2つの異なるアクセスレベルでアクセス許可セットライセンス割り当てを作成します-
3. Tableau CRM コンサルタントは、それぞれがデータセットを生成する 3 つのレシピを作成しました。
Recipe1 は Dataset1 を作成します。
Recipe2 がデータセット 2 を作成しました。
Recipe2 はデータセット 3 を作成しました。
Recipe3 は Dataset1 に依存していますが、Recipe1 と Recipe2 には依存関係がありません。
コンサルタントはレシピスケジュールをどのように実装すべきですか?
A) Recipe1 と Recipe2 を時間ベースにしますが、Recipe3 は Recipe1 と Recipe2 が正常に完了したときのイベントベースにします。
B) Recipe1 と Recipe2 を時間ベースにしますが、Recipe3 はローカル Salesforce コネクタの完了時のイベントベースにします。
C) Recipe1 と Recipe2 を時間ベースにしますが、Recipe3 は Recipe1 が正常に完了したときのイベントベースにします。
D) 3 つのレシピをすべて時間ベースで作成し、すべてを同時にスケジュールすると、データ管理により正しい順序で自動的に実行されます。
4. Universal Containers には、営業マネージャー向けのダッシュボードがあります。彼らは勝率を視覚化する必要があります。
どのチャート タイプを使用して、目標を下回っているか超えているかを追跡できますか?
A) メトリックレーダー
B) ヒートマップ
C) ゲージ
D) ライン
5. 小規模なビジネスインテリジェンスチームは、新しいダッシュボードを作成するための複数のリクエストに圧倒されています。オプションは、ダッシュボードの開発に役立つレイアウトテンプレートを使用することです。
レイアウトテンプレートを使用する2つの利点は何ですか？2つの答えを選択してください
A) レイアウトテンプレートは固定されており、読み取り専用であるため、すばやく作成できます
B) レイアウトテンプレートは一貫したエンドユーザーエクスペリエンスを提供します
C) レイアウトテンプレートには、最適に配置されたKPIやフィルターなどの設計のベストプラクティスが備わっています。
D) レイアウトテンプレートはユニバーサルレイアウトを提供するため、設計に費やす時間を削減します
Solutions:
Question # 1
Answer: D | Question # 2
Answer: C | Question # 3
Answer: C | Question # 4
Answer: C | Question # 5
Answer: B,D |
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