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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Data Layer	23%	- Data Management & Optimization 1. Implement data modeling and relationships 2. Optimize dataset performance 3. Resolve data sync and refresh issues - Data Sources & Integration 1. Extract, load, and prepare data using Data Manager 2. Define datasets and map Salesforce objects 3. Use Dataflows and Recipes for transformation
Dashboard Design & Development	25%	- Build & Configure Dashboards 1. Implement bindings, filters, and interactions 2. Use SAQL for advanced queries 3. Create lenses, steps, and visualizations - Design Principles 1. Design for mobile and Lightning compatibility 2. Apply best practices for usability and performance
Security & Access	12%	- Sharing & Permissions 1. Manage user and group access 2. Configure app, dataset, and field-level security 3. Implement row-level security and inheritance
Einstein Discovery	22%	- Model Building & Configuration 1. Prepare and assess data for modeling 2. Select prediction type: numeric, binary, multi-class 3. Train, evaluate, and refine models - Deployment & Usage 1. Embed predictions in dashboards and Lightning pages 2. Interpret results and recommendations 3. Monitor and maintain model performance
Analytics Administration & Deployment	18%	- Implementation & Maintenance 1. Manage versioning and deployment 2. Monitor and optimize query performance 3. Use Dashboard Inspector and Publisher

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q31-Q36):

NEW QUESTION # 31
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?

A. An SAQL query with @ timeseries statement specifying Account Name as the partition and Y-M-D as the Date Cols
B. An SAQL query with a timeseries statement specifying Opportunity Name as the partition and Y-M-W as the Date Cols
C. An SAQL query with a timeseries statement specifying Account Name as the partition and Y-M-W as the Date Cols

Answer: C

Explanation:
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.
Reference: The use ofSAQL and timeseries functionsis covered in theWave Analytics ExplorerandAdvanced SAQLmodules, where partitioning and date-based aggregations are explained in detail.

NEW QUESTION # 32
A CRM Analytics consultant is building a dashboard for Cloud Kicks that is embedded in a separate Lightning page called "Management Dashboard" using a CRM Analytics Dashboard Component. The system administrator and the contract manager should both have access. The system administrator is able to see the dashboard and the data, but the contract manager sees a blank Lightning page.
What is causing the issue?

A. The consultant has set up a dashboard filter condition for data to be visible to system administrators only.
B. The consultant has set up component visibility for the dashboard for system administrators only.
C. The consultant has set up/enabled a 'Hide on Error' feature for the dashboard while embedding it.

Answer: B

NEW QUESTION # 33
The sales team at Cloud Kicks is requesting that datasets for their dashboards be refreshed every hour. The CRM Analytics consultant investigates if this is possible and finds that the dashboards use five datasets created from two recipes. The first recipe takes 43 minutes to run and the second recipe takes 25 minutes to run.
Which consideration should the consultant keep in mind?

A. The total duration of the recipe runtimes can exceed the limit of 1 hour.
B. The number of concurrent recipe runs can exceed the limit of two in a 24-hour rolling period.
C. The number of concurrent recipe run limits that are associated with the org.

Answer: A

Explanation:
In CRM Analytics, recipes are used to prepare and combine data for datasets. The total duration of the recipe runtime is an important consideration when scheduling dataset refreshes. In this case, the combined runtime for both recipes (43 minutes + 25 minutes = 68 minutes) exceeds 1 hour. Since dataset refreshes cannot be scheduled more frequently than the total recipe runtime, it would beimpossible to refresh the datasets every hour. This limitation must be considered when managing dataset refresh schedules.
Reference: Recipe runtime limits and considerations for scheduling refreshes are discussed in the CRM Analytics documentation related to recipes and dataflow optimizations.

NEW QUESTION # 34
A CRM Analytics consultant has prepared a CSV file to be uploaded to CRM Analytics. By mistake, one of the column headers is modified as random non-alphanumeric characters "*&**(&*(%", which went unnoticed prior to uploading the file.
What is the expected behavior of the uploaded CSV column?

A. The column header is auto-updated to "Column" + column number.
B. The column header Is set to *&**(&*(%.
C. The columnheaderis prefixed with "X" upon upload.

Answer: C

Explanation:
When uploading CSV files into CRM Analytics, column headers must follow certain formatting rules.
Headers containing non-alphanumeric characters, such as "&**(&(%", will automatically be adjusted.
Specifically, if the column header starts with non-alphanumeric characters or contains such characters, CRM Analytics will prefix the header with "X" to ensure compatibility with internal naming conventions. This behavior ensures that the column can be referenced in the platform without causing errors or conflicts.

NEW QUESTION # 35
In a dataset, there are multiple boolean fields. When displayed on any dashboard, the boolean fields should all be displayed in the same way: a value of true should result in the display of the word "Yes" in green; a value of false should result in the display of the word "No" in red.
How should the consultant accomplish this?

A. In the explorer's field panel, select the boolean fields and use the "edit values" option on the fields to change values and colors.
B. Create an XMD node in the recipe to change the label and color of the values in the fields.
C. Select the boolean fields in the explorer's field panel, select the boolean fields, then create a derived dimension.

Answer: A

NEW QUESTION # 36
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