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Salesforce Analytics-Con-201 Exam Syllabus Topics:
| Section | Objectives |
|---|
| Security and Access | - App and dataset permissions - Row-level security and sharing rules
|
| Data Management and Preparation | - Data transformation and dataflows - Dataset creation and configuration in CRM Analytics
|
| Einstein Discovery | - Model building and predictions - Insights interpretation and recommendations
|
| Dashboard and App Development | - Lens creation and dashboard design - Interactive filters and user experience optimization
|
| Data Integration and Connectivity | - Connecting external data sources - Data synchronization and refresh strategies
|
>> Analytics-Con-201題庫資料 <<
新版Analytics-Con-201考古題 & Analytics-Con-201最新題庫
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最新的 Salesforce Consultant Analytics-Con-201 免費考試真題 (Q13-Q18):
問題 #13
Several users are complaining they are unable to see a specific dashboard on a Salesforce Lightning page anymore. The CRM Analytics consultant logs in as one of the users and sees an error page once the dashboard is opened.
How should the consultant solve this issue?
- A. Open the Lightning page, remove the dashboard component, reinsert it, and save the page.
- B. Clone the dashboard and replace the existing one on the Lightning page with the new one
- C. Check the Analytics Studio app to see if user's access has been removed.
答案:C
問題 #14
At Universal Containers, a dashboard is built to track sales metrics. The Opportunity amount field has conditional formatting added - it turns green for closed won and red for closed lost.
How should a CRM Analytics consultant enhance the dashboard design to become more accessible to users with color vision challenges?
- A. Make the numbers bold to emphasize whether it is won or lost.
- B. Add up and down arrow next to the KPIs to make it more understandable.
- C. Position Alt Texts next to the KPIs to make itmore understandable.
答案:B
解題說明:
Enhancing accessibility, especially for users with color vision challenges, is critical. Adding up and down arrows next to the KPIs:
* Visual Cues: Provides a non-color dependent method to indicate whether metrics are positive (up arrow) or negative (down arrow).
* Accessibility: Improves understanding for users with color vision deficiencies, ensuring that the dashboard is inclusive.
* User Experience: Enhances the overall usability of the dashboard by making the interpretation of data straightforward and less reliant on color.
問題 #15
A client has two datasets that are used across seven different dashboards. Three of these dashboards are used by marketing and four are used by sales. The client requires that only marketing can access the marketing dashboards and only sales can access the sales dashboards.
Which solution should a consultant recommend?
- A. Create three custom apps: one for marketing dashboards with marketing as "viewer", one for sales dashboards with sales as "viewer", and one for datasets where marketing and sales are "viewer".
- B. Use two custom apps: one for marketing dashboards with marketing as "viewer" and one for sales dashboards with sales as "viewer". Add the datasets as references to both custom apps.
- C. Duplicate the datasets and create two custom apps: one for marketing dashboards and datasets with marketing as "editor" and one for sales dashboards and datasets with sales as "editor".
答案:A
問題 #16
ACRM Analytics consultant is reviewing results from an Einstein Discovery story with a business user. They agree with the findings but notice that none of the fields used in the story have a correlation value greater than
4%. The client is now concerned that the model
may not be good enough to deploy.
Which action should the consultant take?
- A. Use the appropriate algorithm and update the model.
- B. A Identify additional data that may have a stronger relationship with the outcome variable.
- C. Edit the model accuracy settings and rerun it to evaluate the correlation.
答案:B
問題 #17
A CRM Analytics consultant has prepared a CSV file to be uploaded to CRM Analytics. By mistake, one of the column headers is modified as random non-alphanumeric characters "*&**(&*(%", which went unnoticed prior to uploading the file.
What is the expected behavior of the uploaded CSV column?
- A. The column header Is set to *&**(&*(%.
- B. The columnheaderis prefixed with "X" upon upload.
- C. The column header is auto-updated to "Column" + column number.
答案:B
解題說明:
When uploading CSV files into CRM Analytics, column headers must follow certain formatting rules.
Headers containing non-alphanumeric characters, such as "&**(&(%", will automatically be adjusted.
Specifically, if the column header starts with non-alphanumeric characters or contains such characters, CRM Analytics will prefix the header with "X" to ensure compatibility with internal naming conventions. This behavior ensures that the column can be referenced in the platform without causing errors or conflicts.
問題 #18
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