Salesforce Analytics-Con-201的中合格問題集、Analytics-Con-201試験勉強過去問

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Einstein Discovery20%- Describe Einstein Discovery concepts
  • 1. Explain the model building process
  • 2. Interpret model results
  • 3. Identify the use cases for Einstein Discovery
- Implement Einstein Discovery
  • 1. Configure and deploy Einstein Discovery models
  • 2. Integrate predictions into CRM Analytics dashboards
Data Layer25%- Implement and configure the right data transformations
  • 1. Use Data Prep actions
  • 2. Identify and resolve data sync issues
- Identify the right data sources and data flows for CRM Analytics
  • 1. Describe use cases for Data Prep (Dataflows and Recipes)
  • 2. Define datasets
  • 3. Describe how Salesforce objects map to CRM Analytics
Analytics Dashboard Configuration25%- Configure dashboards
  • 1. Apply query filters
  • 2. Configure bindings
  • 3. Set up dynamic dashboards
Analytics Dashboard Design20%- Design and build CRM Analytics dashboards
  • 1. Use Lenses and Dashboards
  • 2. Describe the use cases for Visualforce and Lightning components
  • 3. Apply design best practices
Security10%- Determine security and sharing settings
  • 1. Describe how Salesforce security is applied in CRM Analytics
  • 2. Implement row-level security

>> Salesforce Analytics-Con-201的中合格問題集 <<

Salesforce Analytics-Con-201試験勉強過去問 & Analytics-Con-201テスト模擬問題集

あなたはAnalytics-Con-201試験の重要性を意識しましたか。答えは「いいえ」であれば、あなたは今から早く行動すべきです。Analytics-Con-201認定試験資格証明書を取得したら、給料が高い仕事を見つけることができます。また、Analytics-Con-201練習問題を勉強したら、いろいろな知識を身につけることができます。Analytics-Con-201練習問題は全面的な問題集からです。

Salesforce Certified CRM Analytics and Einstein Discovery Consultant 認定 Analytics-Con-201 試験問題 (Q27-Q32):

質問 # 27
After getting approval for the dashboard layout design for a desktop, the CRM Analytics consultant is ready to start the design process for a mobile layout.
Which consideration should the consultant keep in mind?

正解：A

解説：
When designing for different device types in CRM Analytics, particularly for mobile layouts, it's crucial to consider how the layout will respond not just on mobile devices but also under various display conditions on desktops. Here's the rationale for focusing on this consideration:
* Responsiveness: Layouts designated for tablets or phones may also be triggered on desktop environments if conditions such as browser window size or embedded frame dimensions mimic those typical of smaller devices.
* Design Flexibility: Understanding this behavior is essential for creating versatile dashboards that maintain functionality and visual integrity across all potential viewing scenarios.
* User Experience: Ensuring that the dashboard behaves predictably across device types and sizes enhances user engagement and effectiveness, as it provides a consistent experience regardless of the access point.
This approach ensures that the dashboard remains functional and accessible no matter how or where it is being viewed, aligning with best practices for responsive and adaptive design in modern analytics environments.


質問 # 28
A CRM Analytics consultant is building a dashboard for Cloud Kicks that is embedded in a separate Lightning page called "Management Dashboard" using a CRM Analytics Dashboard Component. The system administrator and the contract manager should both have access. The system administrator is able to see the dashboard and the data, but the contract manager sees a blank Lightning page.
What is causing the issue?

正解：C


質問 # 29
Universal Containers builds a new sales dashboard and wants to makesure account managers can access the dashboard while traveling.
What should the consultant consider doing in this process?

正解：A


質問 # 30
A consultant is building a CRM Analytics dashboard for Universal
Containers. The consultant has enabled data sync to increase the
speed of datasets refreshing.
How often will the data on the dashboard be refreshed?

正解：A


質問 # 31
A consultant runs the sharing inheritance coverage assessment for the Opportunity object and finds that some records exceed 400 sharing descriptors.
What should the consultant do?

正解：A

解説：
When a record exceeds 400 sharing descriptors, it can cause performance issues or sharing rule complications in CRM Analytics. In such cases, the recommended solution is to usesecurity predicates, which allow fine- tuned control over which data is visible to users based on their sharing rules and permissions. Security predicates reduce the number of sharing descriptors by enforcing security at the dataset level rather than relying solely on record-sharing mechanisms.
Increasing the sharing descriptor limit is not an available option, and Salesforce Support does not typically increase this limit, making the use of security predicates the best approach.


質問 # 32
......

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