Analytics-Con-201資格問題集 & Analytics-Con-201 PDF

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Salesforce Analytics-Con-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Dashboard Design & Development | 25% | - Design Principles
- 1. Design for mobile and Lightning compatibility
- 2. Apply best practices for usability and performance
- Build & Configure Dashboards
- 1. Use SAQL for advanced queries
- 2. Implement bindings, filters, and interactions
- 3. Create lenses, steps, and visualizations
|
| Security & Access | 12% | - Sharing & Permissions
- 1. Configure app, dataset, and field-level security
- 2. Manage user and group access
- 3. Implement row-level security and inheritance
|
| Analytics Administration & Deployment | 18% | - Implementation & Maintenance
- 1. Monitor and optimize query performance
- 2. Manage versioning and deployment
- 3. Use Dashboard Inspector and Publisher
|
| Einstein Discovery | 22% | - Deployment & Usage
- 1. Monitor and maintain model performance
- 2. Interpret results and recommendations
- 3. Embed predictions in dashboards and Lightning pages
- Model Building & Configuration
- 1. Train, evaluate, and refine models
- 2. Select prediction type: numeric, binary, multi-class
- 3. Prepare and assess data for modeling
|
| Data Layer | 23% | - Data Management & Optimization
- 1. Resolve data sync and refresh issues
- 2. Optimize dataset performance
- 3. Implement data modeling and relationships
- Data Sources & Integration
- 1. Use Dataflows and Recipes for transformation
- 2. Extract, load, and prepare data using Data Manager
- 3. Define datasets and map Salesforce objects
|
>> Analytics-Con-201資格問題集 <<
Analytics-Con-201試験の準備方法|真実的なAnalytics-Con-201資格問題集試験|素敵なSalesforce Certified CRM Analytics and Einstein Discovery Consultant PDF
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Salesforce Certified CRM Analytics and Einstein Discovery Consultant 認定 Analytics-Con-201 試験問題 (Q69-Q74):
質問 # 69
A CRM Analytics consultant has been asked to bring data from an external database as well as five external Salesforce environments into CRMAnalytics. Twenty-five objects have been enabled from the local Salesforce connector.
The requirements are:
* 10 objects should be enabled from an external database
* 12 objects each from three of the external Salesforce environments
* 15 objects each from the remaining two external Salesforce environments The consultant estimates each connector will, per object, bring between 1,000 and 1 million rows of data.
Which limit will be exceeded?
- A. Salesforce external connector number of synced rows
- B. Storage rows of data
- C. Total number of enabled objects
正解:C
解説:
In evaluating the scenario presented where multiple external sources and objects are being integrated into CRM Analytics, we need to consider the total number of enabled objects across all connections. Here's a breakdown:
* 10 objects from an external database
* 12 objects each from three external Salesforce environments, totaling 36 objects
* 15 objects each from two external Salesforce environments, totaling 30 objects
* 25 objects already enabled from the local Salesforce connector
This brings us to a total of 101 objects enabled, which may exceed typical limits on the number of objects that can be enabled in a CRM Analytics environment, depending on the specific Salesforce licensing and platform limits.
質問 # 70
Exhibit.

Given that the queries are using different datasets, which change should a CRM Analytics consultant make to solve this issue?
- A. Use "Connect Data Sources" and create a connection to connect the two widgets.
- B. Use result binding/Interaction in the filters section of the query "Type 1".
- C. Use "Connect Data Sources" and create a connection to connect the two datasets.
正解:C
質問 # 71
A CRM Analytics consultant has been asked to refactor a dashboard so that it loads quicker. After some analysis, the consultant found that most of the dashboard queries run in less than 5 seconds; however, the Opportunities Table takes more time to load when scrolled down from its initial view.
How should the consultant improve the performance of this dashboard?
- A. Create a second page on the dashboard and move the table to this new page.
- B. Create a second dashboard and move the table to this new dashboard.
- C. Create a Visualforce page and display a list view of the Opportunities on this new page.
正解:A
質問 # 72
A consultant sets up a Sales Analytics templated app that is very useful for sales operations at Universal Containers (UC). UC wants to make sure all of the data assets associated with the app, including:
recipes, dataflows, connectors, Einstein Discovery models, and prediction definitions are refreshedeveryday at
6:00 AM EST.
How should the consultant proceed?
- A. Use the App Install History under Analytics Settings and schedule the app to run at 6:00 AM EST.
- B. Use the Data Manager and schedule the recipes/dataflows to run at 6:00 AM EST based on 'Time-based Scheduling'.
- C. Use the Data Manager and schedule each item to run at 6:00 AM EST based on 'Time-based Scheduling'.
正解:A
質問 # 73
Cloud Kicks needs a CRM Analytics consultant to install the Appointment Analytics App. After installation, they realize the wrong field was picked and the app did not have access to a newly created field that should be used instead of the old one.
What is the first step the consultant should take to prevent erroneous dataset/dashboard creation?
- A. Cancel running installations from Setup
- B. Stop the recipe from running in Data Manager.
- C. Update the app with the new field after installation.
正解:B
解説:
If the wrong field is selected in the initial setup of an app or dataset, it is important to stop any data processing activities (like recipe executions) to prevent erroneous data from being loaded into datasets and dashboards. In this case, stopping the recipe from running in Data Manager is the correct first step. Once the recipe is stopped, the consultant can update the field selection or make other necessary corrections before restarting the process.
質問 # 74
......
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