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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Administration and Configuration | 17% | - Platform setup and deployment - Migration and change management - Performance optimization and limits - Template apps and API usage |
| Topic 2: Analytics Dashboard Design | 13% | - Lens creation and SAQL basics - Layout and mobile optimization - Chart selection and UX best practices |
| Topic 3: Security and Access | 16% | - App and dataset permissions - Row-level security and sharing inheritance - User provisioning and governance - Predicate expressions and encryption |
| Topic 4: Einstein Discovery | 12% | - Data preparation for modeling - Model deployment and write-back - Story creation and interpretation - Predictions in dashboards and Salesforce objects |
| Topic 5: Data Layer | 23% | - Data sync, dataflows and recipes - Data ingestion and connectors - Dataset creation, transformation and management - Schema, XMD and derived fields |
| Topic 6: Analytics Dashboard Implementation | 19% | - Advanced SAQL and custom logic - Dashboard embedding and performance - Bindings, interactivity and filters |
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Salesforce defines the following prerequisites for the Salesforce Einstein Analytics and Discovery Consultant (Einstein-Analytics-and-Discovery-Consultant日本語版): No mandatory prerequisites; recommended 1+ year hands-on experience with Einstein Analytics, Salesforce Admin knowledge helpful.
Verify the current requirements on the official certification page before booking.
The current exam information lists 60 (plus up to 5 unscored items) questions for the Einstein-Analytics-and-Discovery-Consultant日本語 exam, with 90 minutes minutes allowed. Practicing with a timer beforehand turns the limit into a familiar rhythm.
Salesforce points candidates to these official training options:
Combine structured training with regular question practice for the sturdiest preparation.
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The Salesforce Einstein Analytics and Discovery Consultant (Einstein-Analytics-and-Discovery-Consultant日本語版) blueprint is built on these principal domains:
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At present, the passing score for the Einstein-Analytics-and-Discovery-Consultant日本語 exam is 68% and the registration fee is USD 200 (plus applicable taxes; retake fee USD 100). Both belong to Salesforce and can change, so confirm them on the official site when you register.
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Select a test center or online appointment, and book early — the most convenient slots fill first.
データ探索プロセスの手順は何ですか?
Correct Answer: A 🗳️
大企業には、すべての営業担当者の達成および手数料フィールドを含む単一のデータセットがあります。
各営業担当者は、部門内の各担当者の達成データを表示できる必要があります。各担当者は、自分のコミッションデータのみを表示できる必要があります。
この要件を実施するには、どのオプションを使用する必要がありますか?
Correct Answer: C 🗳️
「CardBalance」という新しいフィールドが標準オブジェクトに追加されます。アカウント。チームは、この新しいフィールドをAccountオブジェクトのソースとなるEinstein Analyticsデータセットに追加したいと考えています。ただし、チームは、データセット内のそのフィールドのデータを表示できるユーザーを制限する必要があります。
アインシュタインコンサルタントは、この新しい要件の実装をどのように支援できますか?
Correct Answer: B 🗳️
会社はEinstein Analyticsを使用して2つのデータセットを作成しました。
1.「Opportunity With Account-データセット。アカウントデータによって拡張されたOpportunity標準オブジェクトのデータが含まれます。
2.「アカウント付きケース」データセット。これには、アカウントデータによって拡張されたケース標準オブジェクトのデータが含まれます。
会社は、アカウントごとの商談とケースの総数を示すレンズを作成したいと考えています。コンサルタントがどのように彼らがこのレンズを構築するのを助けることができますか?
Correct Answer: A 🗳️
会社のEinstein Analyticsチームは、Opportunity__cカスタムオブジェクトに基づいてクラス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探索するときに「結果が見つかりません」というメッセージを表示します。ロール階層のVPの下の他のユーザーは、同じデータセットの行を見ることができます。この問題を引き起こしている可能性がある2つの問題はどれですか?
Correct Answer: C,D 🗳️
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