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Salesforce Tableau-CRM-Einstein-Discovery-Consultant日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Layer | 24% | - Dataflow configuration for multi-object scenarios - Understanding denormalized sequential datasets - Data transformation and loading into Einstein datasets - Troubleshooting failed dataflow jobs - Incremental sync configuration - Data extraction from sources |
| Analytics Dashboard Implementation | 19% | - Developing selection/result interactions with different query types - Configuring dashboards using accurate query types and widget-level parameters - Using advanced functionality such as windowing and time series analysis in compare tables - Monitoring and optimizing query performance using Dashboard Inspector - Implementing delivery management strategies using versioning and/or Dashboard Publisher - Making dashboards actionable and accessible in Lightning pages |
| Einstein Discovery | 12% | - 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 - Building models by assessing data and selecting prediction types (numeric, binary, multi-classification) - Enabling prediction features on Lightning record pages across Salesforce and CRM Analytics |
| 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 |
| 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 |
| Administration | 16% | - Managing CRM Analytics environment and configurations - Embedding analytics in Salesforce - Understanding recipes (Data Prep) for visual ETL interface - SAQL query language for dashboard JSON and lens queries |
Salesforce Tableau CRM Einstein Discovery Consultant (Tableau-CRM-Einstein-Discovery-Consultant日本語版) Sample Questions:
1. Einsteinコンサルタントは、既存のデータフローにいくつかのデータ値を追加する必要があります。テキストフィールド、数値(caseステートメントを介して)、および日付(SAQLを介して)です。
これを実現するには、どの計算オプションを使用する必要がありますか?
A) computeField
B) computeData
C) computeExpression
D) computeValue
2. ユーザーがアナリティクスにアクセスする前に、ユーザーに何を割り当てる必要がありますか?
A) 少なくとも1つのAnalyticsユーザー権限で設定された権限
B) アナリティクスパーミッションセットライセンス(PSL)
C) ユーザー名とパスワード
D) BとC
E) AとB
3. 会社のEinsteinAnalyticsチームは、Opportunity__cカスタムオブジェクトに基づいてクラタセットを作成しました。営業担当副社長は、データセットを開いて調査するときに「結果が見つかりません」というメッセージが表示されたと報告します。ロール階層のVPの下にある他のユーザーは、同じデータセットの行を表示できます。この問題を引き起こしている可能性のある2つの問題はどれですか?
A) データセットはSalesforceから共有を継承しており、VPは3000を超える行を表示できます
B) VPのSalesforceプロファイルには、Opportunity__cカスタムオブジェクトに対する読み取り権限がありません
C) VPのSalesforceプロファイルには、Opportunity__cカスタムオブジェクトの一部のフィールドに対する読み取り権限がありません
D) データセットレベルで設定されたセキュリティ述語がVPによるデータの表示を妨げています
4. 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。
B) 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
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ファイルをEinsteinDiscoveryにインポートします。
5. Universal Containersは、リストウィジェットでの選択が、EinsteinAnalyticsダッシュボードの1つにある円グラフに影響を与えていないことを報告します。リストウィジェットと円グラフに関連付けられているステップオプションが図に示されています。
ステップが同じデータセットを使用している場合、この問題を解決するためにEinsteinコンサルタントが実装できる2つの変更はどれですか?2つの答えを選択してください
A) ステップ「Step_pie_1」で「ファセットからフィルターを適用」オプションを有効にします。
B) ステップ「Step_pie_1」のフィルターセクションで選択バインディングを使用します。
C) ステップ「Region_1」のフィルターセクションで選択バインディングを使用します。
D) ステップ「Region_1」で「ファセットからフィルターを適用」オプションを有効にします。
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: E | Question # 3 Answer: A,B | Question # 4 Answer: A | Question # 5 Answer: A,B |




