P.S.TopexamがGoogle Driveで共有している無料の2026 Salesforce Analytics-Con-201ダンプ:https://drive.google.com/open?id=1reg2Dg7nfU_-qDiQI6ELQZlxyYXK8oYU
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| Section | Objectives |
|---|---|
| Dashboard and App Development | - Lens creation and dashboard design - Interactive filters and user experience optimization |
| Data Integration and Connectivity | - Data synchronization and refresh strategies - Connecting external data sources |
| Security and Access | - Row-level security and sharing rules - App and dataset permissions |
| Data Management and Preparation | - Dataset creation and configuration in CRM Analytics - Data transformation and dataflows |
| Einstein Discovery | - Model building and predictions - Insights interpretation and recommendations |
当社は、Analytics-Con-201トレーニング資料の研究と革新への資本投資を絶えず増やし、国内および国際市場でのAnalytics-Con-201学習資料の影響を拡大しています。私たちのAnalytics-Con-201練習の高い品質と合格率は、テストのAnalytics-Con-201認定の準備をするときにクライアントが学習資料を購入することを選択する98%以上を疑問視しているためです。私たちは、業界と絶えず拡大しているクライアントベースの間で良い評判を確立しています。
質問 # 14
Exhibit.
Given that the queries are using different datasets, which change should a CRM Analytics consultant make to solve this issue?
正解:C
質問 # 15
Cloud Kicks has informed CRM Analytics developers that they have two scenarios with restricted row-level security.
The parameters being:
1. Non-CXOs and VPs working in EMEA can have access to EMEA records only.
2. CXOs and VPs should have access to all data irrespective of the region (APAC, EMEA, etc.).
Which sharing method works for this scenario?
正解:B
解説:
For Cloud Kicks' requirements regarding access to data based on roles and geographic regions, the most efficient and scalable approach is to implement row-level security using fields on the user record, like Department or Region. Here's the rationale for choosing this approach:
* Scalability and Maintenance: By applying security rules based on user record fields, Cloud Kicks can manage access dynamically without needing to maintain multiple dashboards or datasets. This reduces administrative overhead and simplifies updates as roles or regional structures change.
* Flexibility: Using a field on the user record to control access allows for easy expansion or modification of security policies as new regions or roles are added.
* Simplicity: This method ensures a clear and straightforward security model that can be easily audited and understood by administrators and compliance teams.
質問 # 16
The below image shows a numeric outcome being deployed (Regression).
Which metric is used to calculate the performance of the model in production, specifically in the Model Manager?
The below image shows a numeric outcome being deployed (Regression).
Which metric is used to calculate the performance of the model in production, specifically in the Model Manager?
正解:B
解説:
In the context of a regression model being deployed, the performance metrics used to evaluate its effectiveness in production typically include:
* Root Mean Square Error (RMSE): This metric provides a measure of the average magnitude of the errors between predicted values by the model and the actual values, giving a sense of how accurately the model predicts the outcome.
* Minimum Square Error: While less commonly referenced as "Minimum Square Error", metrics like Mean Squared Error (MSE) are often used to quantify the average of the squares of the errors- essentially, the average squared difference between the estimated values and what is estimated.
These metrics are crucial for assessing the performance of regression models in CRM Analytics, as they directly reflect the accuracy and reliability of the model's predictions in real-world applications.
質問 # 17
Universal Containers plans to upload target data from an external tool to CRM Analytics so it can calculate the sales team target attainments.
The target data changes every month, so the datasets need to be updated on a monthly basis. The target data is a CSV file that contains the Salesforce ID of the sales rep, the target amount, and the month of the target. For each sales rep, the file contains a target for every month of the current year as well as all previous years.
Based on this information, which operation should a consultant use with the Analytics External Data API to upload the file?
正解:C
解説:
For uploading target data that changes on a monthly basis and includes historical data (previous years' targets), the appropriate operation is "Overwrite." This ensures that each time the CSV file is uploaded, the existing data in the dataset is replaced with the new data. This is critical because the target data includes both current and historical data, and using "Overwrite" will update the entire dataset while maintaining historical accuracy.
"Append" would add new data without replacing the old records, leading to duplication, and "Update" is not suitable for completely replacing data in this context.
Reference: The usage of the "Overwrite" operation for updating datasets with changing data is covered in theAnalytics External Data APIdocumentation, as well as in theWave Analytics Explorermodule.
質問 # 18
The CRM Analytics project team at Universal Containers is creating an app with dashboards, datasets, and lenses. The app has been shared with multiple users with Viewer, Editor, and/or Manager access.
One end user is unable to view the dashboard watchlist that was previously set up. They are receiving a
"Resource not found" error while trying to access the dashboard. The team confirms that the end user has Viewer access to the app but the project team is able to view the dashboard.
What is the reason for this error?
正解:B
質問 # 19
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Analytics-Con-201復習解答例: https://www.topexam.jp/Analytics-Con-201_shiken.html
ちなみに、Topexam Analytics-Con-201の一部をクラウドストレージからダウンロードできます:https://drive.google.com/open?id=1reg2Dg7nfU_-qDiQI6ELQZlxyYXK8oYU