Salesforce Analytics-Con-201題庫更新,新版Analytics-Con-201考古題

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionObjectives
Dashboard and App Development- Interactive filters and user experience optimization
- Lens creation and dashboard design
Data Integration and Connectivity- Data synchronization and refresh strategies
- Connecting external data sources
Data Management and Preparation- Data transformation and dataflows
- Dataset creation and configuration in CRM Analytics
Einstein Discovery- Insights interpretation and recommendations
- Model building and predictions
Security and Access- Row-level security and sharing rules
- App and dataset permissions

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Analytics-Con-201認證考試資料

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最新的 Salesforce Consultant Analytics-Con-201 免費考試真題 (Q55-Q60):

問題 #55
Cloud Kicks (CK) has a dashboard in CRM Analytics with forecasting data. One widget is a compare table using the timeseries function showing the quarterly forecast. However, CK is interested in enhancing the dashboard with a weekly forecast per customer.
How should CK achieve this?

答案:C

解題說明:
To create a weekly forecast per customer, anSAQL (Salesforce Analytics Query Language)query can be used.
The timeseries function generates forecast data based on a specified date range. In this case, the forecast is customer-specific, meaning the partition should be based onAccount Nameto ensure that the forecast is generated for each customer. The date column (Date Cols) should be set to Y-M-W to aggregate the forecast data on a weekly basis.


問題 #56
CRM Analytics team plans to enable data sync.
Which limit specific to data syne should the team consider before enabling the feature because it may impact existing jobs?

答案:B

解題說明:
In CRM Analytics, when planning to enable data sync, one of the critical considerations is the limit on the number of objects that can be enabled for data sync. This limit is essential because it determineshow many different Salesforce objects (like Accounts, Opportunities, etc.) can be synchronized concurrently. Exceeding this limit could impact the performance of existing sync jobs or prevent new sync jobs from being configured.
Key points to consider include:
* Performance Impact: Syncing too many objects simultaneously can lead to increased load times and potential delays in data availability, impacting users' ability to access up-to-date information.
* Resource Allocation: CRM Analytics allocates resources based on the number of objects being synchronized, and there are practical limits to these resources to ensure stable and efficient operation.
For a more detailed understanding and to manage these limits effectively, Salesforce provides documentation and guidelines within the CRM Analytics resources, which can be further explored in the Trailhead modules specifically focusing on data management and synchronization practices.


問題 #57
Universal Containers (UC) uses a Microsoft Azure SQL Data Warehouse to gather information about sales reps' objectives. UC wants to use CRM Analytics to gain insights from this data and automatically load it into a CRM Analytics dataset daily. The data also needs to be transformed and merged with data from the company's org.
Which CRM Analytics user interface features should be used to complete these requirements?

答案:A

解題說明:
Reference:CRM Analytics Connectors and Dataflows


問題 #58
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?

答案:A


問題 #59
What is a benefit of introducing a second local connector?

答案:C

解題說明:
Introducing a second local connector in CRM Analytics can improve performance by enabling more granular control over data syncs. By having a separate connector, different datasets or recipes can be synchronized independently based on specific refresh needs, reducing load and improving overall performance. This approach helps optimize data flow operations, especially in large-scale deployments with varying data refresh requirements.
Reference: Best practices for managing connectors and optimizing data sync performance can be found in theCRM Analyticsperformance optimization guides.


問題 #60
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