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)
Updated: Aug 04, 2026
Q & A: 244 Questions and Answers
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security | 16% | - Implementing security settings for users, groups, and profiles - Dataset security settings using sharing inheritance and security predicates - App sharing based on user and group requirements |
| Topic 2: Analytics Dashboard Design | 13% | - Creating dashboards following CRM Analytics best practices and UX design principles - Identifying appropriate use and configuration of standard CRM Analytics templated apps - Scoping, validating, and prioritizing dashboard design requirements |
| Topic 3: Einstein Discovery | 12% | - Monitoring and interpreting Model Cards to improve or maintain model performance - Building models by assessing data and selecting prediction types (numeric, binary, multi-classification) - Adjusting data parameters and adding/removing data or columns to improve models - Analyzing model results and proposing data improvements - Enabling prediction features on Lightning record pages across Salesforce and CRM Analytics |
| Topic 4: Data Layer | 24% | - Understanding denormalized sequential datasets - Data extraction from sources - Troubleshooting failed dataflow jobs - Incremental sync configuration - Data transformation and loading into Einstein datasets - Dataflow configuration for multi-object scenarios |
| Topic 5: Administration | 16% | - Embedding analytics in Salesforce - Understanding recipes (Data Prep) for visual ETL interface - Managing CRM Analytics environment and configurations - SAQL query language for dashboard JSON and lens queries |
| Topic 6: Analytics Dashboard Implementation | 19% | - Developing selection/result interactions with different query types - Configuring dashboards using accurate query types and widget-level parameters - 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 - Making dashboards actionable and accessible in Lightning pages |
1. Einstein Analyticsチームは、データ同期(レプリケーション)を有効にすることを計画しています。
データ同期(レプリケーション)に固有の2つの制限のうち、既存のジョブに影響を与える可能性があるため、機能を有効にする前に検討する必要があるのはどれですか?
2つの答えを選択してください
A) データフロー定義の最大数
B) データ同期(レプリケーション)を有効にできるオブジェクトの最大数
C) スケジュールされているがまだ実行されていないELT(Extract Load Transform)ジョブのタイムアウト
D) データフロー変換の最大数
2. クライアントは、各販売地域の売上を予測するSAQLステップを作成しようとしています。クエリを取得して結果を返すことはできませんが、エラーが時系列ステートメントにあることを識別しました。彼らは、Einsteinコンサルタントに、次のクエリを確認してエラーを修正するように依頼しました。
どの時系列ステートメントがクエリを修正しますか?
A) q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter', "Y-Q"), partition='Region');
B) q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (dateCols=('Date_Year, Date_Quarter', "Y-Q"), partition=Region', ignoreLast=true);
C) q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (Iength = 12, dateCols=('Date_Year', 'Date_Month". "Y-M"), partition='Region');
D) q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter', "Y-Q"), partition='Region', seasonality=4);
3. 比較テーブルのデフォルトの#行。
A) 1000
B) 1500
C) 2000
D) 3000
4. チャートで[アクション]メニューを使用するのはなぜですか?
A) ダッシュボードのウィジェットを再配置します
B) Chatterに投稿するには
C) ダッシュボードに表示される期間を拡張する
D) あなたとあなたのチームのためのトレーニングプランを作成する
5. コンサルタントは、進行中の不正取引の支援を必要とするクレジットカード会社と協力しています。同社は、コンサルタントがEinsteinDiscoveryで分析するための代表的なサンプルデータセットを提供しています。ストーリーの最初の評価は、サードパーティの支払いアプリがこれらの不正な取引の原因であることを示しています。ただし、同社はこの評価結果を拒否し、懸念されるほど長い間、この支払いアプリとのパートナーシップを結んでいないと述べています。
ストーリーの結果を改善するために推奨される次のステップは何ですか?
A) サードパーティの支払いアプリが原因であることをより明確に示すために、ストーリーを調整します。
B) ストーリーが偏りのない結果を返し、最初の評価が正確であることを会社に説明します。
C) 分析するより包括的なデータセットをクレジットカード会社に依頼します。
D) クレジットカード会社のドメイン知識を使用し、サードパーティの支払いアプリをストーリーから除外します。
Solutions:
| Question # 1 Answer: A,B | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: B |
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