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| Section | Weight | Objectives |
|---|
| Einstein Discovery | 22% | - Deployment & Usage
- 1. Embed predictions in dashboards and Lightning pages
- 2. Monitor and maintain model performance
- 3. Interpret results and recommendations
- Model Building & Configuration
- 1. Prepare and assess data for modeling
- 2. Select prediction type: numeric, binary, multi-class
- 3. Train, evaluate, and refine models
|
| Analytics Administration & Deployment | 18% | - Implementation & Maintenance
- 1. Manage versioning and deployment
- 2. Use Dashboard Inspector and Publisher
- 3. Monitor and optimize query performance
|
| Data Layer | 23% | - Data Sources & Integration
- 1. Use Dataflows and Recipes for transformation
- 2. Extract, load, and prepare data using Data Manager
- 3. Define datasets and map Salesforce objects
- Data Management & Optimization
- 1. Resolve data sync and refresh issues
- 2. Implement data modeling and relationships
- 3. Optimize dataset performance
|
| 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
|
| Dashboard Design & Development | 25% | - Build & Configure Dashboards
- 1. Create lenses, steps, and visualizations
- 2. Implement bindings, filters, and interactions
- 3. Use SAQL for advanced queries
- Design Principles
- 1. Design for mobile and Lightning compatibility
- 2. Apply best practices for usability and performance
|
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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q28-Q33):
NEW QUESTION # 28
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/enabled a 'Hide on Error' feature for the dashboard while embedding it.
- B. The consultant has set up component visibility for the dashboard for system administrators only.
- C. The consultant has set up a dashboard filter condition for data to be visible to system administrators only.
Answer: B
NEW QUESTION # 29
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. CRM Analytics Connector for Excel used in conjunction with dataflows/recipes
- B. Microsoft Azure SQL Data Warehouse Connector used in Conjuction with dataflows/recipes
- C. Analytics REST API used in conjunction with dataflows/recipes.
Answer: B
Explanation:
Reference:CRM Analytics Connectors and Dataflows
NEW QUESTION # 30
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 columnheaderis prefixed with "X" upon upload.
- C. The column header Is set to * & **( & *(%.
Answer: B
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.
Reference: You can find the CSV upload rules, including naming conventions and auto-formatting behaviors, outlined in theSalesforce CRM Analyticsdocumentation provided during training, particularly under the module "Wave Analytics Explorer."
NEW QUESTION # 31
A CRM Analytics consultant wants to move a dataflow to a recipe in order to use aggregation nodes. To do so, they use the Dataflow to Recipe convertor and the recipe runs successfully.
However, they are unable to see the aggregated data in the dataset.
What is causing the issue?
- A. The dataflow has to be turned off and only the recipe should run.
- B. The convertor has created a new dataset with a new ID.
- C. The recipe has to be turned off and only the dataflow should run.
Answer: B
NEW QUESTION # 32
Cloud Kicks' Salesforce org has multiple currencies enabled. This company's business intelligence team uses CRM Analytics to build a dataflow/recipe that creates a dataset, "OpportunityDataSet", which is populated with data extracted from Opportunity. One of the extracted fields is the standard field, Amount.
Which currency will the Amount values be shown in "OpportunityDataSet"?
- A. In the integration user's currency
- B. In the currency that Is set on the "currency" attribute.
- C. the connected user's currency
Answer: A
NEW QUESTION # 33
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