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Last Updated: Aug 27, 2026
No. of Questions: 244 Questions & Answers with Testing Engine
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Administration | 16% | - Embedding analytics in Salesforce - Managing CRM Analytics environment and configurations - SAQL query language for dashboard JSON and lens queries - Understanding recipes (Data Prep) for visual ETL interface |
| Topic 2: Analytics Dashboard Implementation | 19% | - Making dashboards actionable and accessible in Lightning pages - Implementing delivery management strategies using versioning and/or Dashboard Publisher - Developing selection/result interactions with different query types - Monitoring and optimizing query performance using Dashboard Inspector - Using advanced functionality such as windowing and time series analysis in compare tables - Configuring dashboards using accurate query types and widget-level parameters |
| Topic 3: Analytics Dashboard Design | 13% | - Identifying appropriate use and configuration of standard CRM Analytics templated apps - Scoping, validating, and prioritizing dashboard design requirements - Creating dashboards following CRM Analytics best practices and UX design principles |
| Topic 4: 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 |
| Topic 5: Einstein Discovery | 12% | - 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) - Enabling prediction features on Lightning record pages across Salesforce and CRM Analytics - Adjusting data parameters and adding/removing data or columns to improve models |
| Topic 6: Data Layer | 24% | - Data transformation and loading into Einstein datasets - Understanding denormalized sequential datasets - Dataflow configuration for multi-object scenarios - Troubleshooting failed dataflow jobs - Data extraction from sources - Incremental sync configuration |
1. インサイトリストでは、インサイトはどのような順序でランク付けされていますか?
A) 統計的有意性
B) アルファベット順
C) 時間
D) 注文はありません
E) 地理空間
2. レンズの視覚化で5つのメジャーをレンダリングするのに適したチャートタイプはどれですか?
A) メトリックレーダーチャート
B) 積み上げ棒グラフ
C) ツリーマップチャート
D) 散布図
3. コンサルタントは、セールスオペレーションチーム向けにEinsteinAnalyticsアプリを作成しました。セールスオペレーションチームは、アプリを会社の他の人と共有したいと考えています。コンサルタントは、アプリをEinsteinAnalyticsテンプレートアプリとして配布することをお勧めします。
セールスオペレーションアプリからテンプレートが作成された後、JSONファイルのセットが生成されます。テンプレートメタデータと他のすべてのテンプレート要素を管理するJSONファイルの名前は何ですか?
A) template-to-app-rules.json
B) aster- info.j son
C) ui.json
D) template-info.json
4. データセットレシピでマージキーを使用するのはなぜですか?
A) 重複レコードを処理するため
B) さまざまなソースからの関連データを結合する
C) データセットレシピが実行されるタイミングをスケジュールする
D) マージアイコンがデータセットで何を表しているかを確認する
5. Sales WaveダッシュボードからChatterにどのように投稿しますか?
A) 任意のバーを右クリックして、メッセージを入力します
B) 件名に「chatter:」が含まれるメールをチームメンバーに送信します
C) 商談またはアカウントの[アクション]メニューを開き、[投稿]を選択します
D) ダッシュボードの上部にある[アクション]ドロップダウンから[おしゃべりに投稿]を選択します
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: C |
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Eden
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Michelle
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