Updated: Jul 22, 2026
No. of Questions: 244 Questions & Answers with Testing Engine
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| Certification Vendor: | Salesforce |
| Exam Name: | Salesforce Certified Tableau CRM and Einstein Discovery Consultant |
| Exam Number: | Tableau-CRM-Einstein-Discovery-Consultant |
| Certificate Validity Period: | 3 years |
| Exam Price: | USD 200 |
| Real Exam Qty: | 60 |
| Exam Format: | Multiple Choice, Multiple Select |
| Exam Duration: | 105 minutes |
| Passing Score: | 65% |
| Available Languages: | English |
| Related Certifications: | Salesforce Certified Tableau CRM and Einstein Discovery Consultant |
| 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 |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Einstein Discovery | 12% | - Building models by assessing data and selecting prediction types (numeric, binary, multi-classification) - Adjusting data parameters and adding/removing data or columns to improve models - Monitoring and interpreting Model Cards to improve or maintain model performance - Enabling prediction features on Lightning record pages across Salesforce and CRM Analytics - Analyzing model results and proposing data improvements |
| Topic 2: Administration | 16% | - Understanding recipes (Data Prep) for visual ETL interface - Embedding analytics in Salesforce - SAQL query language for dashboard JSON and lens queries - Managing CRM Analytics environment and configurations |
| Topic 3: Analytics Dashboard Implementation | 19% | - Developing selection/result interactions with different query types - Making dashboards actionable and accessible in Lightning pages - Using advanced functionality such as windowing and time series analysis in compare tables - Monitoring and optimizing query performance using Dashboard Inspector - Implementing delivery management strategies using versioning and/or Dashboard Publisher - Configuring dashboards using accurate query types and widget-level parameters |
| Topic 4: Analytics Dashboard Design | 13% | - Identifying appropriate use and configuration of standard CRM Analytics templated apps - Scoping, validating, and prioritizing dashboard design requirements - Creating dashboards following CRM Analytics best practices and UX design principles |
| Topic 5: Security | 16% | - Dataset security settings using sharing inheritance and security predicates - Implementing security settings for users, groups, and profiles - App sharing based on user and group requirements |
| Topic 6: Data Layer | 24% | - Dataflow configuration for multi-object scenarios - Incremental sync configuration - Data extraction from sources - Data transformation and loading into Einstein datasets - Understanding denormalized sequential datasets - Troubleshooting failed dataflow jobs |
1. 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) 45
C) 30
D) 25
2. ユーザーごとの同時クエリ?
A) 50
B) 10
C) 20
D) 25
3. 示す:
ある会社は、クローズドウォンの機会の進化を視覚化するためのタイムラインチャートを作成したいと考えています。示されている画像と同様の出力を表示するレンズを構築するために必要なパラメーターは何ですか?
A) 2小節、トレリスが無効の場合は0〜2のグループ化、トレリスが有効の場合は0〜4のグループ化
B) 1小節、トレリスが無効の場合は1〜2のグループ化、トレリスが有効の場合は1〜4のグループ化
C) 1小節、トレリスが無効の場合は0のグループ化、トレリスが有効の場合は0〜2のグループ化
D) 1つのメジャー、日付フィールドによる1つのグループ化、およびトレリスが無効になっている場合はディメンションによる0-1のグループ化、トレリスが有効になっている場合は0-2のグループ化
4. XMDは何の略ですか?
A) JSONを作成する
B) サポートされていないフィールドの構成
C) レンズデータセットフィールド
D) 拡張メタデータ
5. データ探索プロセスのステップは何ですか?
A) 表示、探索、削減、保存、共有
B) 表示、探索、絞り込み、保存、共有
C) ダウンロード、表示、絞り込み、保存、共有
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: B |
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