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| Section | Objectives |
|---|---|
| Topic 1: Data Integration and Connectivity | - Connecting external data sources - Data synchronization and refresh strategies |
| Topic 2: Data Management and Preparation | - Data transformation and dataflows - Dataset creation and configuration in CRM Analytics |
| Topic 3: Security and Access | - Row-level security and sharing rules - App and dataset permissions |
| Topic 4: Dashboard and App Development | - Lens creation and dashboard design - Interactive filters and user experience optimization |
| Topic 5: Einstein Discovery | - Model building and predictions - Insights interpretation and recommendations |
>> Analytics-Con-201최신 업데이트버전 인증시험자료 <<
지난 몇년동안 IT산업의 지속적인 발전과 성장을 통해Salesforce 인증Analytics-Con-201시험은 IT인증시험중의 이정표로 되어 많은 인기를 누리고 있습니다. IT인증시험을ExamPassdump덤프로 준비해야만 하는 이유는ExamPassdump덤프는 IT업계전문가들이 실제시험문제를 연구하여 시험문제에 대비하여 예상문제를 제작했다는 점에 있습니다.
질문 # 74
CRM Analytics consultant receives a new project from a client that wants to implement CRM Analytics. They do not currently have CRM Analytics but want guidance on how to ensure their users have the correct access.
They have 1,000 users with a small team of three people who will build both datasets and dashboards. An additional 15 people should be able to only create dashboards. The remaining users should only be able to view dashboards.
Which recommendation should the consultant give the client?
Which recommendation should the consultant give the client?
정답：A
설명：
For a client implementing CRM Analytics with a variety of user roles, creating and assigning Salesforce permission sets is the most flexible and scalable solution. Here's why:
* Flexibility and Customization: Permission sets allow for specific access rights to be compiled and assigned based on user roles without altering their existing profiles.
* Scalability: As the organization grows or roles change, permission sets can be easily adjusted or reassigned to accommodate new requirements or users.
* Simplified Management: Managing access via permission sets simplifies the administration of user rights, making it easier to ensure that each group has the appropriate level of access.
질문 # 75
A project team member uploads a CSV file to CRM Analytics, and they notice a few records failed during the upload. The manager wants to view the error log generated so this can be fixed and uploaded again. The manager has the CRM Analytics administrator permissionbut is unable to download the error log details.
Why is the manager unable to download the log details?
정답：C
설명：
In CRM Analytics, when a CSV file is uploaded and errors occur during the upload process, an error log is generated. However, only the user who uploaded the external data file can download the error log, even if other users have administrative permissions. This restriction ensures that only the user responsible for the data upload can access the details to resolve the issues.
Reference: The limitations and permissions surroundingexternal data uploadsand error logs are outlined inCRM Analyticspermissions documentation.
질문 # 76
Universal Containers (UC) is using CRM Analytics to create two datasets.
* Dataset A: Contains a list of activities with an "activityID" dimension and a "userID" dimension
* Dataset B: Contains a list of users with a "userID" dimension
UC wants to delete all activities from Dataset A related to users in Dataset B.
How should the CRM Analytics consultant help UC achieve this?
정답：A
질문 # 77
The CRM Analytics consultant at AW Computing is designing dashboard. They want to add a rate between two metrics and display it in a new chart. They are finding that the new chart seems to prejudice the design of other charts.
What should the consultant do to resolve this?
정답：A
질문 # 78
What can a consultant accomplish in the Predictions page of a model?
정답：C
설명：
In the Predictions page of a model within CRM Analytics (formerly Einstein Discovery), users have the capability to interact with the model to see how different input values affect predictions. Here's a detailed look at what can be accomplished:
* Manual Input of Predictor Values: Users can manually input or change values for predictor fields to see how these changes alter the predicted outcomes. This is especially useful for testing hypothetical scenarios and understanding how sensitive the model is to various inputs.
* Real-Time Interaction: This functionality provides a hands-on way to explore the model's behavior, offering immediate feedback on how input variations impact predictions, which can help in refining the model or in training users on its application.
* Scenario Analysis: By adjusting predictor values, users can conduct scenario analyses, which are crucial for strategic planning and decision-making.
질문 # 79
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