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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 - Developing selection/result interactions with different query types - Making dashboards actionable and accessible in Lightning pages - 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 |
| Einstein Discovery | 12% | - Adjusting data parameters and adding/removing data or columns to improve models - Enabling prediction features on Lightning record pages across Salesforce and CRM Analytics - Analyzing model results and proposing data improvements - Monitoring and interpreting Model Cards to improve or maintain model performance - Building models by assessing data and selecting prediction types (numeric, binary, multi-classification) |
| 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 |
| Data Layer | 24% | - Incremental sync configuration - Troubleshooting failed dataflow jobs - Understanding denormalized sequential datasets - Data extraction from sources - Dataflow configuration for multi-object scenarios - Data transformation and loading into Einstein datasets |
| 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 |
| Administration | 16% | - Understanding recipes (Data Prep) for visual ETL interface - Managing CRM Analytics environment and configurations - SAQL query language for dashboard JSON and lens queries - Embedding analytics in Salesforce |
Salesforce Tableau CRM Einstein Discovery Consultant (Tableau-CRM-Einstein-Discovery-Consultant日本語版) Sample Questions:
構成ウィザードで必要な質問にデフォルト値がないことを確認する良い方法は何ですか？
- A. ドロップダウンの各オプションを一度に1つずつ試してください
- B. [次へ]をクリックして、赤で強調表示されている質問を探します
- C. カスタムオブジェクトに関する質問にのみ回答してください
- D. アプリをダウンロードし、JSONでSAQLクエリを実行します
Correct Answer: B 🗳️
24時間ローリングベースでEinsteinAnalyticsにアップロードできる外部ファイルの数はいくつですか？
- A. データセットあたり500ファイル
- B. データセットあたり300ファイル
- C. データセットあたり50ファイル
- D. データセットあたり100ファイル
Correct Answer: C 🗳️
会社のSalesforce組織で複数通貨が有効になっています。この会社のビジネスインテリジェンスチームは、Einstein Analyticsを使用して、データセット「OpportunityDataSet」を作成するデータフローを構築しました。このデータセットには、標準オブジェクトであるOpportunityから抽出されたデータが入力されます。抽出されたフィールドの1つは、標準フィールドの金額です。
ユーザーがEinsteinAnalyticsで「OpportunityDataSet」を調べた場合、金額の値はどの通貨で表示されますか？
- A. 統合ユーザーの通貨で
- B. 接続されたユーザーの通貨で
- C. データフローの「currency」属性に設定されている通貨
- D. データセットの「currency」属性に設定されている通貨
Correct Answer: A 🗳️
Explanation: Only visible for DumpsTorrent members. You can sign-up / login (it's free).
Einstein Discoveryを使用してCSVファイルのデータをどのように分析しますか？
- A. CSVファイルをEinsteinDiscoveryにインポートします。
- B. CSVファイルをEinstein Analyticsデータセットにインポートしてから、ストーリーを作成します。
- C. CSVファイルを最も類似したSalesforceオブジェクトにインポートしてから、そのオブジェクトでレポートを実行します。
- D. CSVファイルからデータをインポートすることはできません
Correct Answer: B 🗳️
