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Salesforce Tableau-CRM-Einstein-Discovery-Consultant日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Tableau CRM Dashboard Design | 19% | - Mobile optimization - Interactive design and bindings - Visualization best practices |
| Topic 2: Data Layer | 24% | - Dataflows and recipes - Schema design and optimization - Dataset management and transformation - Data ingestion and synchronization |
| 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: Security | 11% | - Row-level security and sharing - User permissions and access control - Data encryption and governance |
| Topic 5: Administration | 9% | - Performance optimization - Platform configuration and provisioning - Deployment and change management |
| Topic 6: Tableau CRM Dashboard Implementation | 18% | - SAQL and query logic - Embedded analytics - Lens and dashboard building |
Salesforce Tableau CRM Einstein Discovery Consultant (Tableau-CRM-Einstein-Discovery-Consultant日本語版) Sample Questions:
Question 1
ユーザーがアナリティクスにアクセスする前に、ユーザーに何を割り当てる必要がありますか?
A. AとB
B. アナリティクスパーミッションセットライセンス(PSL)
C. 少なくとも1つのAnalyticsユーザー権限で設定された権限
D. ユーザー名とパスワード
E. BとC
Question 2
コンサルタントは、運送会社向けに Tableau CRM ダッシュボードを構築しました。コンサルタントはデータ同期 (レプリケーション) を有効にして、データセットの更新速度を向上させました。
ダッシュボード上のデータはどのくらいの頻度で更新されますか?
A. ダッシュボード ビューアが [更新] ボタンをクリックしたとき。
B. データ同期が完了まで実行され、次にレシピが完了まで実行された場合。
C. レシピが完了まで実行され、その後データ同期が完了まで実行される場合。
D. ユーザーがダッシュボードを開くたび
Question 3
Einstein Discovery ストーリーの結果がビジネス ユーザーとともにレビューされます。彼らは調査結果に同意しましたが、ストーリーで使用されたフィールドのどれも 4% を超える相関値を持たないことに気付きました。クライアントは、モデルが次のステップに進むのに十分ではないのではないかと懸念していますか?
A. 別のアルゴリズムでストーリーを再実行して更新します。
B. 結果変数とより強い関係がある可能性のある追加データを特定します。
C. モデル品質メトリック値が十分な場合は、デプロイメントを続行します。
D. モデルの精度設定を編集し、ストーリーを再実行します。
Question 4
Event Monitoring Analyticsアプリは、組織内の既存のデータの種類に事前に構築された洞察と分析をもたらしますか?
A. セールスクラウドデータログイン
B. フィールド監査証跡データ
C. イベントログファイルデータ
D. フォレンジックデータ
Question 5
データセットレシピで何ができますか?
A. 異なるデータセットのデータを組み合わせる
B. 外部データをアナリティクスに抽出します
C. ダッシュボードを作成する
D. データチリを作る
Solutions:
| Question 1 Answer: A | Question 2 Answer: C | Question 3 Answer: B,C | Question 4 Answer: C | Question 5 Answer: A |



