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Salesforce Tableau-CRM-Einstein-Discovery-Consultant日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Layer | 24% | - Data transformation and loading into Einstein datasets - Understanding denormalized sequential datasets - Dataflow configuration for multi-object scenarios - Incremental sync configuration - Troubleshooting failed dataflow jobs - Data extraction from sources |
| Security | 16% | - Dataset security settings using sharing inheritance and security predicates - Implementing security settings for users, groups, and profiles - App sharing based on user and group requirements |
| Analytics Dashboard Implementation | 19% | - 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 - Developing selection/result interactions with different query types - Monitoring and optimizing query performance using Dashboard Inspector - Making dashboards actionable and accessible in Lightning pages |
| Einstein Discovery | 12% | - Enabling prediction features on Lightning record pages across Salesforce and CRM Analytics - Monitoring and interpreting Model Cards to improve or maintain model performance - Analyzing model results and proposing data improvements - 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 |
| 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 |
| Analytics Dashboard Design | 13% | - Scoping, validating, and prioritizing dashboard design requirements - Creating dashboards following CRM Analytics best practices and UX design principles - Identifying appropriate use and configuration of standard CRM Analytics templated apps |
Salesforce Tableau CRM Einstein Discovery Consultant (Tableau-CRM-Einstein-Discovery-Consultant日本語版) Sample Questions:
Einstein Discoveryは、次のようなツールです。
- A. あなたよりもあなたのビジネスをよく理解している
- B. ビジネスに最適なデータサイエンティストを採用するのに役立ちます
- C. BIエキスパートとデータアナリストのチームを置き換えます
- D. スタッフに個人データサイエンティストがいるようなものです
Correct Answer: D 🗳️
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。
ステップが異なるデータセットを使用していると仮定します。アインシュタインコンサルタントがこの問題を解決するために行うことができる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「Type_l」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。
- B. 「データソースの接続」を使用して、2つのウィジェットを接続するための接続を作成します。
- C. 「データソースの接続」を使用して、2つのデータセットを接続するための接続を作成します。
- D. Cheステップ「Step_pie_2」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。
Correct Answer: C,D 🗳️
コンサルタントがサンドボックスにEinsteinAnalyticsダッシュボードを作成しました。次に、ダッシュボードを本番環境に移行する必要があります。
移行を完了するために、コンサルタントの3つのオプションは何ですか？3つの答えを選択してください
- A. アナリティクスREST API
- B. セットを変更します
- C. アナリティクス外部データAPI
- D. Ant移行ツール
- E. アナリティクスダッシュボードコネクタ
Correct Answer: A,B,D 🗳️
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Event Monitoring Analyticsアプリは、組織内の既存のデータの種類に事前に構築された洞察と分析をもたらしますか？
- A. イベントログファイルデータ
- B. セールスクラウドデータログイン
- C. フィールド監査証跡データ
- D. フォレンジックデータ
Correct Answer: A 🗳️
Einstein Analytics チームは、データフローを開始するとエラーや警告もなく正常に実行されるが、クエリ時に項目の 1 つが値を返さないと報告しています。
この問題の原因は何でしょうか?
- A. 「セキュリティ ユーザー プロファイル」にはフィールドへのアクセス権がありません。
- B. このフィールドには Salesforce のデータが含まれていません。
- C. 「統合ユーザー プロファイル」にはフィールドへのアクセス権がありません。
- D. データフローを実行するユーザーにはフィールドへのアクセス権がありません。
Correct Answer: B 🗳️
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