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Salesforce Tableau-CRM-Einstein-Discovery-Consultant日本語 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Preparation and Dataflows | - Data Preparation Tools
|
| Topic 2: Einstein Discovery | - Predictive Modeling Concepts
|
| Topic 3: Security and Access | - Row-Level Security
|
| Topic 4: Analytics Dashboarding | - Lenses and Dashboards
|
| Topic 5: Data Layer and Data Management | - Data Modeling and Data Sources
|
Salesforce Tableau CRM Einstein Discovery Consultant (Tableau-CRM-Einstein-Discovery-Consultant日本語版) Sample Questions:
1. 1つの変数が結果変数の変動をどのように説明するかを調べる洞察のタイプの別名は何ですか?
A) オブジェクト指向分析
B) 3次分析
C) 二次分析
D) スペクトル分析
E) 一次分析
2. 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) 35
B) 25
C) 45
D) 30
3. スケジュールされているが実行されていないETLジョブのタイムアウト
A) 5分
B) 20分
C) 10分
D) 15分
4. 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。
C) 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
D) CSVファイルをEinsteinDiscoveryにインポートします。
5. ウォーターフォールグラフの海軍セクションは何を示していますか?
A) 要因の組み合わせが海軍の顧客のCLVにどのように影響するか
B) 選択した変数が海軍の顧客のモデルの他のすべての要因とどのように関連しているか
C) 海軍の顧客のCLVに影響を与える重要な要素と重要でない要素の関係
D) 個々の要因が海軍の顧客の結果に個別にどのように影響するか
Solutions:
| Question # 1 Answer: E | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: A |
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