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

Section	Objectives
Topic 1: Einstein Discovery	- Predictive Modeling Concepts 1. Story creation and interpretation 2. Insights and recommendations
Topic 2: Data Layer and Data Management	- Data Modeling and Data Sources 1. Data ingestion and transformation concepts 2. Understanding CRM Analytics datasets
Topic 3: Data Preparation and Dataflows	- Data Preparation Tools 1. Data transformation logic 2. Recipes and dataflows usage
Topic 4: Security and Access	- Row-Level Security 1. Security predicates and sharing inheritance
Topic 5: Analytics Dashboarding	- Lenses and Dashboards 1. Creating and configuring dashboards 2. Lens exploration and visualization types

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

1. XMDは何の略ですか？

A) サポートされていないフィールドの構成
B) 拡張メタデータ
C) JSONを作成する
D) レンズデータセットフィールド

2. Einstein Discoveryが既知のパターンのみを検出したことにクライアントが失望した場合の適切な対応は何ですか？

A) Einstein Analyticsなどの視覚化ツールを使用して、詳細を明らかにすることをお勧めします。
B) ユースケースが正確でない可能性があることを伝えます。
C) テクノロジーはデータと同じくらい優れていることを彼らに思い出させてください。
D) アインシュタインが洞察までの時間を短縮することを強調します。これは、経験から学ぶよりもはるかに高速です。

3. 1日あたりの組織あたりの最大ストーリー作成数：

A) 粘土あたり組織あたり40
B) 組織あたり40
C) 粘土ごとに組織ごとに20
D) 組織あたり20

4. ストーリーは、予測フィールド「予測金額」を含む Opportunity オブジェクトにデプロイされています。
すべての Opportunity レコードが、Predicted Amount フィールドに書き戻される予測になるにはどうすればよいでしょうか?

A) 予測サービス API を使用して予測を取得し、[予測金額] フィールドに値を入力します。
B) すべての商談レコードを開きます。
C) 予測定義で一括スコアリング ジョブを有効にします。
D) [予測金額] フィールドに値を入力して、すべてのレコードを一括編集します。

5. Einstein Analyticsチームは、外部のオンプレミスOracleデータベースからの値を表示するダッシュボードを作成したいと考えています。
OracleデータベースからEinsteinAnalyticsにデータをロードするための2つのオプションは何ですか？2つの答えを選択してください

A) Analytics外部データAPIを使用します。
B) SalesforceSOAPインターフェースを使用します。
C) Oracleデータベースコネクタを使用します。
D) データをCSVファイルとしてロードします。

Solutions:

Question # 1 Answer: B

Question # 2 Answer: C

Question # 3 Answer: C

Question # 4 Answer: A

Question # 5 Answer: A,C