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Salesforce Tableau-CRM-Einstein-Discovery-Consultant日本語 Exam Overview:
| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Tableau CRM and Einstein Discovery Consultant |
| Exam Number: | Tableau-CRM-Einstein-Discovery-Consultant |
| Available Languages: | English |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | 60 |
| Related Certifications: | Salesforce Certified Tableau CRM and Einstein Discovery Consultant |
| Exam Format: | Multiple Choice, Multiple Select |
| Exam Price: | USD 200 |
| Exam Duration: | 105 minutes |
| Passing Score: | 65% |
| Sample Questions: | Salesforce Tableau-CRM-Einstein-Discovery-Consultant日本語 Sample Questions |
| Exam Way: | Online proctored or at a testing center |
| Pre Condition: | No formal prerequisites, but recommended to have experience with CRM Analytics implementation |
| Official Syllabus URL: | https://trailhead.salesforce.com/help?article=Salesforce-Certified-Tableau-CRM-and-Einstein-Discovery-Consultant-Exam-Guide |
Salesforce Tableau-CRM-Einstein-Discovery-Consultant日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Einstein Discovery | 12% | - Monitoring and interpreting Model Cards to improve or maintain model performance - Analyzing model results and proposing data improvements - Adjusting data parameters and adding/removing data or columns to improve models - Building models by assessing data and selecting prediction types (numeric, binary, multi-classification) - Enabling prediction features on Lightning record pages across Salesforce and CRM Analytics |
| Data Layer | 24% | - Incremental sync configuration - Data transformation and loading into Einstein datasets - Troubleshooting failed dataflow jobs - Dataflow configuration for multi-object scenarios - Data extraction from sources - Understanding denormalized sequential datasets |
| Administration | 16% | - SAQL query language for dashboard JSON and lens queries - Managing CRM Analytics environment and configurations - Understanding recipes (Data Prep) for visual ETL interface - Embedding analytics in Salesforce |
| Security | 16% | - App sharing based on user and group requirements - Dataset security settings using sharing inheritance and security predicates - Implementing security settings for users, groups, and profiles |
| Analytics Dashboard Implementation | 19% | - Making dashboards actionable and accessible in Lightning pages - Developing selection/result interactions with different query types - Implementing delivery management strategies using versioning and/or Dashboard Publisher - Using advanced functionality such as windowing and time series analysis in compare tables - Configuring dashboards using accurate query types and widget-level parameters - Monitoring and optimizing query performance using Dashboard Inspector |
| Analytics Dashboard Design | 13% | - Scoping, validating, and prioritizing dashboard design requirements - Creating dashboards following CRM Analytics best practices and UX design principles - Identifying appropriate use and configuration of standard CRM Analytics templated apps |
Salesforce Tableau CRM Einstein Discovery Consultant (Tableau-CRM-Einstein-Discovery-Consultant日本語版) Sample Questions:
図を参照してください。
示されているモデルの強度に関して、どの結論を下すことができますか？
- A. モデルの強度は、表示されているメトリックでは判断できません。
- B. モデルはかなり良いです。.7597の精度評価は、かなり高いレートで勝ち負けの両方を予測できることを意味します。
- C. モデルは非常に強力です。.535のGINI係数は、このモデルが非常に効果的であることを示しています。
- D. モデルは非常に弱く、しきい値が低いため、有用な予測を提供しません。
Correct Answer: D 🗳️
コンサルタントは、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のストーリーを作成しました。ストーリーを作成した後、コンサルティングには Einstein Discovery によってこのデータアラートが表示されます (図を参照)。
取るべき適切な行動を 2 つ挙げてください。
2 つの答えを選択してください
- A. Einstein の提案に従って外れ値を削除し、モデルをデプロイします。
- B. 0 未満および 2,489 を超える値が非常に珍しいため、ストーリーから除外する必要があるかどうか、クライアントと話し合ってください。
- C. 0 未満の売上を手動で削除します (マイナスの売上はデータの問題である必要があります)。ただし、大きな値は維持します (データが多ければ多いほど、モデルはより良くなります)。
- D. Einstein によって提案された外れ値を削除し、モデル メトリクスとストーリー インサイトを使用して品質が向上したかどうかを検証します。
Correct Answer: A,B 🗳️
継承の共有に関して正しい3つのステートメントはどれですか？3つの答えを選択してください
- A. 継承の共有は、アカウント、キャンペーン、ケース、連絡先、商談、リード、注文、ユーザー、およびカスタムオブジェクトをサポートします。IdeaやSiteなどの他のオブジェクトを使用する場合は、それらのオブジェクトにセキュリティ述語を使用する必要があります。
- B. 共有を使用するデータセットには、セキュリティ述語も定義されている必要があります。
- C. 継承の共有が有効になっている場合、セキュリティ述語は無視されます。
- D. 継承の共有は、セキュリティを強化するための外部キーをサポートします。
- E. ユーザーがSalesforceのオブジェクトで3,000を超えるレコードを表示できるが、ユーザーに「すべてのデータの表示」権限がない場合、共有継承は使用されません。バックアップセキュリティ述語が有効になります。この制限は、Opportunityオブジェクトには適用されません。
Correct Answer: A,B,E 🗳️
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クライアントには、セールスマネージャー用のダッシュボードがあります。彼らは月の名前を表示するリストフィルターを持ちたいと思っています。ただし、「CloseDate_Month」フィールドに基づいて、リストフィルターには名前ではなく数字が表示されます。
EinsteinコンサルタントはどのようにDataflowノードを使用して、データセットの新しいディメンションとして月の名前を生成できますか？
- A. 相対を計算する
- B. 式を計算する
- C. 平らにする
- D. 追加
Correct Answer: B 🗳️
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. 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。
- 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. 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。
- D. 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。
Correct Answer: B 🗳️
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