• Exam Code: Tableau-CRM-Einstein-Discovery-Consultant
  • Exam Name: Salesforce Tableau CRM Einstein Discovery Consultant (Tableau-CRM-Einstein-Discovery-Consultant日本語版)
  • Certification Provider: Salesforce
  • Corresponding Certification:Salesforce Consultant
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Salesforce Tableau-CRM-Einstein-Discovery-Consultant日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Einstein Discovery12%- 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)
- 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: Analytics Dashboard Design13%- 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 3: Security16%- Dataset security settings using sharing inheritance and security predicates
- App sharing based on user and group requirements
- Implementing security settings for users, groups, and profiles
Topic 4: Analytics Dashboard Implementation19%- Monitoring and optimizing query performance using Dashboard Inspector
- Making dashboards actionable and accessible in Lightning pages
- Configuring dashboards using accurate query types and widget-level parameters
- Using advanced functionality such as windowing and time series analysis in compare tables
- Developing selection/result interactions with different query types
- Implementing delivery management strategies using versioning and/or Dashboard Publisher
Topic 5: Administration16%- SAQL query language for dashboard JSON and lens queries
- Embedding analytics in Salesforce
- Managing CRM Analytics environment and configurations
- Understanding recipes (Data Prep) for visual ETL interface
Topic 6: Data Layer24%- Incremental sync configuration
- Understanding denormalized sequential datasets
- Dataflow configuration for multi-object scenarios
- Troubleshooting failed dataflow jobs
- Data transformation and loading into Einstein datasets
- Data extraction from sources

Salesforce Tableau CRM Einstein Discovery Consultant (Tableau-CRM-Einstein-Discovery-Consultant日本語版) Sample Questions:

1. コンサルタントがビューを入力された値で囲まれたドメインに制限できるウィジェットプロパティはどれですか?

A) カスタムドメインを追加
B) フィルターを追加
C) 範囲でフィルタリング
D) カスタム範囲を追加


2. Analytics for Communitysを有効にするための要件は次のうちどれですか?

A) カスタマーコミュニティプラスまたはパートナーコミュニティのライセンスを持っている。
B) 購入後3日以上お待ちください。
C) BとD
D) コミュニティの仲間から推薦されます。
E) コミュニティメンバーにAnalyticsforCommunitysパーミッションセットライセンスを割り当てます。


3. アナリティクスのコンテキストでは、ファセットとは何ですか?

A) ダッシュボード内の関連するすべてのウィジェットを選択によってフィルタリングする
B) 特定のメトリックの有効数字の桁数を測定する
C) プログラマーだけがアクセスできるもの
D) グラフの背景色の選択
E) ダッシュボード上のウィジェットの数を表す


4. アインシュタインディスカバリーストーリーのモデル品質メトリックは、4つのフォールドのGINI係数がそれぞれ0.82、0.83、0.84、および0.75であることを示しています。
コンサルタントが取るべき2つのアクションはどれですか?2つの答えを選択してください

A) データセットを調査して、ターゲットフィールドの外れ値と、ストーリーの上部に表示される主な予測子を確認します。
B) メトリックの変動は通常の範囲内であるため、ストーリーを展開します。
C) ストーリーをすぐに展開しないでください。また、1つのフォールドが他のフォールドよりもパフォーマンスが悪い理由を調べてください。
D) ストーリーを展開する前に、全体的なGINI係数が良好であることを確認します。


5. 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) 少なくとも1つのAnalyticsユーザー権限で設定された権限
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) BとC
D) AとB
E) ユーザー名とパスワード


Solutions:

Question # 1
Answer: A
Question # 2
Answer: C
Question # 3
Answer: A
Question # 4
Answer: C,D
Question # 5
Answer: D

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