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 |
|---|---|---|
| Analytics Dashboard Implementation | 19% | - Monitoring and optimizing query performance using Dashboard Inspector - Configuring dashboards using accurate query types and widget-level parameters - Using advanced functionality such as windowing and time series analysis in compare tables - Developing selection/result interactions with different query types - Making dashboards actionable and accessible in Lightning pages - Implementing delivery management strategies using versioning and/or Dashboard Publisher |
| Einstein Discovery | 12% | - 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 - Enabling prediction features on Lightning record pages across Salesforce and CRM Analytics - Monitoring and interpreting Model Cards to improve or maintain model performance |
| 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 |
| Data Layer | 24% | - Dataflow configuration for multi-object scenarios - Incremental sync configuration - Data extraction from sources - Troubleshooting failed dataflow jobs - Data transformation and loading into Einstein datasets - Understanding denormalized sequential datasets |
| Administration | 16% | - SAQL query language for dashboard JSON and lens queries - Managing CRM Analytics environment and configurations - Embedding analytics in Salesforce - Understanding recipes (Data Prep) for visual ETL interface |
| 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 |
Salesforce Tableau CRM Einstein Discovery Consultant (Tableau-CRM-Einstein-Discovery-Consultant日本語版) Sample Questions:
Einstein Analyticsチームは、外部のオンプレミスOracleデータベースからの値を表示するダッシュボードを作成したいと考えています。
OracleデータベースからEinsteinAnalyticsにデータをロードするための2つのオプションは何ですか？2つの答えを選択してください
- A. SalesforceSOAPインターフェースを使用します。
- B. データをCSVファイルとしてロードします。
- C. Oracleデータベースコネクタを使用します。
- D. Analytics外部データAPIを使用します。
Correct Answer: C,D 🗳️
ウィザードの質問に対する回答を変更するとどうなりますか？
- A. ウィザードから与えられた3つの願いのうちの1つを使い切る
- B. ダッシュボードを微調整して、会社が主要な指標を測定する方法を反映します
- C. ServiceCloudの実装を変更する
- D. 新しいKPIを使用してダッシュボードの新しいセットを作成します
Correct Answer: B 🗳️
Universal Containersには、セールスマネージャー用のダッシュボードがあります。彼らは、月、四半期、または年ごとにクローズドウォンの機会の数を視覚化し、その結果を単一のチャートに表示する機能を必要としています。Einsteinコンサルタントは、ClosedDate_month、ClosedDate_quarter、およびClosedDate_yearの3つの値を表示する静的ステップを作成しました。
コンサルタントは次に何をすべきですか？
- A. 選択バインディングを使用して、チャートのグループ化を更新します。
- B. 結果バインディングを使用して、グラフのメジャーを更新します。
- C. 選択バインディングを使用して、チャートのメジャーを更新します。
- D. ネストされたバインディングを使用して、グラフのグループ化を更新します。
Correct Answer: A 🗳️
これらの標準偏差のうち、平均から最も離れた値を持つ曲線の標準偏差はどれですか？
- A. 4
- B. 16
- C. 1
- D. 8
Correct Answer: B 🗳️
データフロー定義の最大数（データ同期が有効になっている場合）
- A. 25
- B. 35
- C. 15
- D. 55
Correct Answer: B 🗳️
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