Salesforce Tableau-CRM-Einstein-Discovery-Consultant日本語 : Salesforce Tableau CRM Einstein Discovery Consultant (Tableau-CRM-Einstein-Discovery-Consultant日本語版)

Tableau-CRM-Einstein-Discovery-Consultant日本語 real exams

Exam Code: Tableau-CRM-Einstein-Discovery-Consultant-JPN

Exam Name: Salesforce Tableau CRM Einstein Discovery Consultant (Tableau-CRM-Einstein-Discovery-Consultant日本語版)

Updated: Jul 18, 2026

Q & A: 244 Questions and Answers

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Salesforce Tableau-CRM-Einstein-Discovery-Consultant日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Layer24%- Dataflows and recipes
- Dataset management and transformation
- Schema design and optimization
- Data ingestion and synchronization
Topic 2: Administration9%- Platform configuration and provisioning
- Deployment and change management
- Performance optimization
Topic 3: Tableau CRM Dashboard Implementation18%- SAQL and query logic
- Embedded analytics
- Lens and dashboard building
Topic 4: Tableau CRM Dashboard Design19%- Interactive design and bindings
- Mobile optimization
- Visualization best practices
Topic 5: Einstein Discovery Story Design19%- Interpreting insights and predictions
- Model creation and evaluation
- Deploying results to Salesforce
- Data preparation for modeling
Topic 6: Security11%- Row-level security and sharing
- Data encryption and governance
- User permissions and access control

Salesforce Tableau CRM Einstein Discovery Consultant (Tableau-CRM-Einstein-Discovery-Consultant日本語版) Sample Questions:

1. コンサルタントは、海運会社向けにEinsteinAnalyticsダッシュボードを作成しました。ダッシュボードには、複数のデータソースからのデータが表示されます-コンサルタントは、これらのソースからのデータ更新の速度を上げるためにデータ同期(レプリケーション)を有効にしました。
この状況で使用可能なデータフロー定義の最大数はいくつですか?

A) 45
B) 25
C) 30
D) 35


2. テンプレートオブジェクトに含まれているのは次のうちどれですか?

A) ui.json
B) app.json
C) variables.json
D) A、B、C
E) A、C


3. 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。
B) CSVファイルをEinsteinDiscoveryにインポートします。
C) 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。
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


4. Einstein Analyticsダッシュボードで情報を整理する場合、「段階的開示」の設計原則とはどういう意味ですか?

A) 根本原因分析が必要な場合にユーザーがアドホックな調査を行えるように、特定の詳細を意図的に省略します。
B) ユーザーに表示する必要のある詳細レベルのみを提供し、さらに詳細にドリルダウンするオプションを提供します。
C) ユーザーに表示される情報の量を最小限に抑えるために、厳密なセキュリティ述語を実装します。
D) 最新のテンプレートを利用して最新のルックアンドフィールを実現します。


5. アインシュタインディスカバリーストーリーとは何ですか?

A) 単一の結果変数とその変数に影響を与える要因との関係を理解するのに役立つグラフ、統計分析、およびテキストのコレクション
B) 複数の結果変数とそれらの変数に影響を与える要因との関係を理解するのに役立つグラフ、統計分析、およびテキストのコレクション
C) 娯楽のために語られた架空または実在の人々とイベントの説明
D) 結果の原因を正確に証明するグラフ、統計分析、およびテキストのコレクション


Solutions:

Question # 1
Answer: C
Question # 2
Answer: E
Question # 3
Answer: C
Question # 4
Answer: B
Question # 5
Answer: A

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