Reliable Salesforce Analytics-Con-201 Test Objectives | Analytics-Con-201 Reliable Test Pattern

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Analytics Administration & Deployment	18%	- Implementation & Maintenance 1. Use Dashboard Inspector and Publisher 2. Monitor and optimize query performance 3. Manage versioning and deployment
Data Layer	23%	- Data Management & Optimization 1. Optimize dataset performance 2. Implement data modeling and relationships 3. Resolve data sync and refresh issues - 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
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. Prepare and assess data for modeling 2. Train, evaluate, and refine models 3. Select prediction type: numeric, binary, multi-class
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. Create lenses, steps, and visualizations 3. Implement bindings, filters, and interactions
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

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

NEW QUESTION # 37
Universal Containers is setting up a Sales Analytics app to track the sales performance across all regions. The role hierarchy is well-structured with separate branches for various global regions.
Viewer access has been provided to the regional sales reps based on the following roles.
* Regional Sales - APAC
* Regional Sales - EMEA
* Regional Sales - LATAM
* Regional Sales - NA
The CRM Analytics project team receives a request to extend Editor
access to the app to 20 'Superusers' across all regions.
What is the optimal solution?

A. Create a new sharing rule for these users and assign it the Editor app access.
B. Create new roles for these users and assign them the Editor app access.
C. Create a new public group with these users and assign it the Editor app access.

Answer: C

NEW QUESTION # 38
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. Stop the recipe from running in Data Manager.
B. Cancel running installations from Setup
C. Update the app with the new field after installation.

Answer: A

Explanation:
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.
Reference: TheData Managersection in CRM Analytics outlines how recipes and data flows are managed, including how to stop or pause recipes.

NEW QUESTION # 39
A CRM Analytics consultant is performing column profiling on dimension column in a recipe. Newly-added rows are not being considered in the Results tab of theprofile even though a sync wasrun for that specific object.
What is causing the issue?

A. The sample does not include changes to the connected object data within the last 24 hours.
B. Column profiling Is not applicable on a dimension column in a recipe.
C. Sync operation has not run properly with the new dimension column in the recipe.

Answer: A

NEW QUESTION # 40
Universal Containers (UC) is looking to create a dashboard for whitespace analysis. UC wants to view a particularcustomer and see what similarcustomers have bought.
Which recipe transformation is helpful for the consultant to use while creating the dataset?

A. Timeseries Forecasting
B. Predict Missing Values
C. Cluster

Answer: C

NEW QUESTION # 41
Exhibit.

Universal Containers has a dashboard for sales managers to visualize the Year Over Year (YoY) growth of their customers. The formula used is:
YoY = [(This Year - Last Year) / Last Year] %
Based on the graphic, when there is not an account in the Last Year column, the YoY Growth shows null results. The sales managers want to replace it with 100% value.
What is the correct function to use?

A. coalesce()
B. substr()
C. replace()

Answer: A

NEW QUESTION # 42
......

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