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Salesforce Tableau-CRM-Einstein-Discovery-Consultant日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Security | 16% | - App sharing based on user and group requirements - Implementing security settings for users, groups, and profiles - Dataset security settings using sharing inheritance and security predicates |
| Data Layer | 24% | - Dataflow configuration for multi-object scenarios - Incremental sync configuration - Understanding denormalized sequential datasets - Data extraction from sources - Data transformation and loading into Einstein datasets - Troubleshooting failed dataflow jobs |
| Administration | 16% | - SAQL query language for dashboard JSON and lens queries - Understanding recipes (Data Prep) for visual ETL interface - Managing CRM Analytics environment and configurations - Embedding analytics in Salesforce |
| 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) - Monitoring and interpreting Model Cards to improve or maintain model performance - Adjusting data parameters and adding/removing data or columns to improve models - Analyzing model results and proposing data improvements |
| 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 |
| Analytics Dashboard Implementation | 19% | - Monitoring and optimizing query performance using Dashboard Inspector - Using advanced functionality such as windowing and time series analysis in compare tables - 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 - Developing selection/result interactions with different query types |
Salesforce Tableau CRM Einstein Discovery Consultant (Tableau-CRM-Einstein-Discovery-Consultant日本語版) Sample Questions:
Question 1
Philipは、最近作成されたSeed Bank Ordersデータセットを、MosaicSeedBankプロジェクトチームがViewerアプリの役割を持つEinsteinAnalyticsアプリに追加します。プロジェクトチームのメンバーは、シード銀行注文データセットのどのくらいのデータを見ることができますか?
A. AppManagerによって指定された行のみ
B. Salesforce管理者によって指定された行のみ
C. データなし
D. データセット内のすべての行とフィールド
Question 2
ダッシュボードに表示されている特定のケースの[アクション]メニューをどのように開きますか?
A. アクションウィジェットでケース番号をダブルクリックします
B. そのセグメントのケースマネージャーに@メンションするだけです
C. バブルチャートからアクションバーをクリックします
D. 値テーブルウィジェットのケース番号列にカーソルを合わせ、表示される矢印をクリックします
Question 3
コンサルタントは、運送会社向けに Tableau CRM ダッシュボードを構築しました。コンサルタントはデータ同期 (レプリケーション) を有効にして、データセットの更新速度を向上させました。
ダッシュボード上のデータはどのくらいの頻度で更新されますか?
A. ダッシュボード ビューアが [更新] ボタンをクリックしたとき。
B. データ同期が完了まで実行され、次にレシピが完了まで実行された場合。
C. レシピが完了まで実行され、その後データ同期が完了まで実行される場合。
D. ユーザーがダッシュボードを開くたび
Question 4
アインシュタインディスカバリーストーリーとは何ですか?
A. 単一の結果変数とその変数に影響を与える要因との関係を理解するのに役立つグラフ、統計分析、およびテキストのコレクション
B. 複数の結果変数とそれらの変数に影響を与える要因との関係を理解するのに役立つグラフ、統計分析、およびテキストのコレクション
C. 娯楽のために語られた架空または実在の人々とイベントの説明
D. 結果の原因を正確に証明するグラフ、統計分析、およびテキストのコレクション
Question 5
tableau CRM ダッシュボード インスペクターで実行できることを 3 つ選択してください。
3 つの答えを選択してください
A. すべてのクエリと各クエリの実行にかかった時間を表示します。
B. ボトルネックを自動的に除去し、クエリの実行を高速化します。
C. ダッシュボードのパフォーマンスを向上させる方法に関する推奨事項のリストを取得します。
D. すべてのクエリの実行に必要な合計時間を表示します。
E. 各クエリの最終クエリとクエリ結果を表示します。
Solutions:
| Question 1 Answer: D | Question 2 Answer: D | Question 3 Answer: C | Question 4 Answer: A | Question 5 Answer: A,C,E |






