Associate Salesforce Analytics-Con-201 Level Exam - Reliable Analytics-Con-201 Dumps Questions

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Einstein Discovery	22%	- Model Building & Configuration 1. Prepare and assess data for modeling 2. Train, evaluate, and refine models 3. Select prediction type: numeric, binary, multi-class - Deployment & Usage 1. Monitor and maintain model performance 2. Embed predictions in dashboards and Lightning pages 3. Interpret results and recommendations
Analytics Administration & Deployment	18%	- Implementation & Maintenance 1. Manage versioning and deployment 2. Use Dashboard Inspector and Publisher 3. Monitor and optimize query performance
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. Create lenses, steps, and visualizations 2. Implement bindings, filters, and interactions 3. Use SAQL for advanced queries
Data Layer	23%	- Data Sources & Integration 1. Define datasets and map Salesforce objects 2. Use Dataflows and Recipes for transformation 3. Extract, load, and prepare data using Data Manager - Data Management & Optimization 1. Implement data modeling and relationships 2. Optimize dataset performance 3. Resolve data sync and refresh issues
Security & Access	12%	- Sharing & Permissions 1. Implement row-level security and inheritance 2. Configure app, dataset, and field-level security 3. Manage user and group access

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q37-Q42):

NEW QUESTION # 37
What are various ways to incorporate blank space in a CRM Analytics dashboard?

A. 1. Use the "Cell Spacing" layout property.2. Increase the dashboard granularity via columns, and use blank columns.
B. 1. Increase the dashboard granularity via columns, and use blank columns.Use pages to break content into multiple tabs.
C. Use the "Fine" row height option in layout properties, and use blank rows,Use the "With Spacing" row height property.

Answer: A

Explanation:
Incorporating blank space into a CRM Analytics dashboard can be achieved effectively through the following methods:
* Cell Spacing Layout Property: This allows for consistent spacing between cells, helping to create a visually organized and less cluttered dashboard.
* Increasing Dashboard Granularity via Columns: Using blank columns as a method to create deliberate space can help in visually separating different dashboard elements, enhancing readability and focus.
These methods ensure that the dashboard is not only functional but also aesthetically pleasing and easy to navigate.

NEW QUESTION # 38
What is a benefit of introducing a second local connector?

A. Better maintenance by having a connector per recipe
B. Better performance by syncing data according to the refresh necessities
C. Better deployment management between sandboxes and production environment

Answer: B

Explanation:
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.

NEW QUESTION # 39
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?

A. Analytics REST API used in conjunction with dataflows/recipes.
B. Microsoft Azure SQL Data Warehouse Connector used in Conjuction with dataflows/recipes
C. CRM Analytics Connector for Excel used in conjunction with dataflows/recipes

Answer: B

Explanation:
Reference:CRM Analytics Connectors and Dataflows

NEW QUESTION # 40

Which timeseries statement will fix the query?

A. q= timeseries q generate 'sum_Sales' as 'Forecasted_Sales' with (dateCols=('Date_Year', 'Date Quarter', "Y-Q"), partition='Region', seasonality=4);
B. q = timeseries q generate 'sum_Sales' as 'Forecasted_Sales' with (dateCols=('Date_Quarter',
'Date_Month', "Q-M"), partition='Region', ignoreLast=true);
C. q = timeserles q generate 'sum_Sales' as 'Forecasted_Sales' with (length=12,dateCols=("Date_Year',
'Date_Month', "Y-M"), partition='Region');

Answer: C

NEW QUESTION # 41
A company realizes it has a lot of rich information around its cases, but unfortunately, most of this isunstructured/textual data. Thecompany is exploring how to include some of this information in its case prioritization.
Which option within CRM Analytics should a consultant leverage?

A. Cluster transformation in Recipes
B. Detect Sentiment transformation in Recipes
C. Bucket transformation in Recipes

Answer: B

Explanation:
For a company with a wealth of unstructured textual data in their cases, the "Detect Sentiment" transformation within CRM Analytics Recipes is a crucial tool. This transformation analyzes the sentiment of the text data- whether it's positive, neutral, or negative-and this insight can be highly valuable in case prioritization processes. Here's why this transformation is useful:
* Insight into Customer Sentiments: By detecting sentiment, the company can prioritize cases based on the urgency and emotional tone expressed in the text, which might indicate customer dissatisfaction or urgency.
* Automation and Efficiency: Automatically categorizing cases based on sentiment can streamline workflows and ensure that critical cases are handled promptly.
* Enhanced Customer Service: Responding to negative sentiments swiftly can improve customer satisfaction and potentially mitigate issues before they escalate.

NEW QUESTION # 42
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