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Salesforce Tableau-CRM-Einstein-Discovery-Consultant日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Tableau CRM Dashboard Implementation | 18% | - Lens and dashboard building - SAQL and query logic - Embedded analytics |
| Topic 2: Security | 11% | - User permissions and access control - Data encryption and governance - Row-level security and sharing |
| Topic 3: Einstein Discovery Story Design | 19% | - Deploying results to Salesforce - Data preparation for modeling - Model creation and evaluation - Interpreting insights and predictions |
| Topic 4: Data Layer | 24% | - Data ingestion and synchronization - Dataset management and transformation - Schema design and optimization - Dataflows and recipes |
| Topic 5: Tableau CRM Dashboard Design | 19% | - Interactive design and bindings - Mobile optimization - Visualization best practices |
| Topic 6: Administration | 9% | - Performance optimization - Deployment and change management - Platform configuration and provisioning |
Salesforce Tableau CRM Einstein Discovery Consultant (Tableau-CRM-Einstein-Discovery-Consultant日本語版) Sample Questions:
1. Einstein Analyticsコンサルタントは、ProductSalesデータセットに新しいSalesTaxフィールドを追加するように求められます。SalesTaxを計算する式は、（SubTotal'CountyTax）です。
コンサルタントがSalesTaxを計算してデータセットに挿入するために、データフローでどのノードを使用する必要がありますか？
A) augment
B) append
C) computeExpression
D) computeRelative
2. Einstein Discoveryは、いくつかの異なる種類の推奨される洞察を提供します。これらの洞察のうち、説明的なものはどれですか？
A) 予測と改善
B) 違いは何ですか
C) なぜそれが起こったのか
D) 何が起こったのか
3. 図を参照してください。
アインシュタインは、ストーリーを改善するための推奨事項を見つけました。明らかに、同じように動作する2つの変数があります。追加情報がない場合、正しいアクションは何ですか？
A) プロモーションを保持します。これは実行可能な変数であり、これがないと、規範的なアクションを推奨できません。
B) 保持量; 取引の規模がわからないと、勝つかどうかを予測するのが難しくなります。
C) 何もしません。それらは類似しているように見えますが、ビジネスの観点からは異なる可能性があります。
D) このストーリーをキャンセルして、データセットを再定義します。
4. ストーリーの最初の作成後、最初のストーリーの洞察によって、結果変数の変動の 93% が説明されます。これって異常に高いですよね？
これの可能性が最も高い倍数はどれですか?
A) データセットに含まれる行が多すぎます。
B) 結果変数がデータ漏洩の原因となっています。
C) ストーリーで使用されているデータセットには、外れ値が多すぎます。
D) データセットには複数の主要な値が含まれています。
5. 顧客は、店舗での消費者製品の 1 日の販売数量を最大化するために設定されたストーリーを検討しており、プロモーション活動、特にサンフランシスコに関連するグラフを見ています。
この洞察からどのような結論が導き出せるでしょうか?
この洞察からどのような結論が導き出せるでしょうか?
A) サンフランシスコのすべてのプロモーション タイプの中で、ディスプレイ プロモーションを使用した売上が最も高かった。
B) 最適なプロモーション タイプはディスプレイです。
C) プロモーションにより、サンフランシスコでは他の都市よりも売上が大幅に増加します。
D) その他の店舗 (灰色のバーで表示) には、販売促進に関する重要なデータは表示されません。
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: C |
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