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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Security & Access12%- Sharing & Permissions
  • 1. Configure app, dataset, and field-level security
  • 2. Implement row-level security and inheritance
  • 3. Manage user and group access
Topic 2: Dashboard Design & Development25%- Design Principles
  • 1. Design for mobile and Lightning compatibility
  • 2. Apply best practices for usability and performance
- Build & Configure Dashboards
  • 1. Implement bindings, filters, and interactions
  • 2. Create lenses, steps, and visualizations
  • 3. Use SAQL for advanced queries
Topic 3: Data Layer23%- 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. Optimize dataset performance
  • 2. Resolve data sync and refresh issues
  • 3. Implement data modeling and relationships
Topic 4: Einstein Discovery22%- Model Building & Configuration
  • 1. Train, evaluate, and refine models
  • 2. Select prediction type: numeric, binary, multi-class
  • 3. Prepare and assess data for modeling
- Deployment & Usage
  • 1. Monitor and maintain model performance
  • 2. Embed predictions in dashboards and Lightning pages
  • 3. Interpret results and recommendations
Topic 5: Analytics Administration & Deployment18%- Implementation & Maintenance
  • 1. Manage versioning and deployment
  • 2. Use Dashboard Inspector and Publisher
  • 3. Monitor and optimize query performance

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. A CRM Analytics consultant at Cloud Kicks is trying to upload data using an External Data API and the CSV file with the data wasuploaded successfully. Upon analyzing the data using a lens, they find they are unable to perform any mathematical operations as all the data and fields are treated as dimensions.
What is causing the problem?

A) The field value added in the CSV file was contained within double quotes.
B) JSON metadata file was not uploaded along with the CSV data file.
C) Proper transformations need to be performed at the external source prior to External Data API callout.


2. The CRM Analytics consultant at Universal Containers has set data syncs and recipe runs back to back.
However, they notice that the data syncs and recipe run jobs fail repeatedly. Upon investigation, they realize the data syncs and recipes are tightly coupled which leads to too many runs being queued and eventually being canceled.
How should the consultant resolve this issue?

A) Enable priority scheduling to automatically queue shorter or smaller runs before longer or larger ones.
B) Raise a case with Salesforce Support to help Increase the concurrency limits of the org.
C) Set up failure notifications so that the CRM Analytics consultant gets notified when this happens and can fix the Issue.


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


4. A consultant has been asked to build and embed a dashboard in a Lightning page. Users should only be able to change the dashboard contrast and open Analytics Studio from the header of the dashboard.
How should the consultant achieve this?

A) Deselect the "Show Share Icon" and "Enable Subscriptions" buttons.
B) Deselect the "Enable Notifications" and "Enable Email" buttons.
C) Deselect the "Enable Notifications" and "Enable Subscriptions" buttons.


5. A consultant is tasked with creating a dataset and a dashboard for a sales team. During the requirements gathering, it was highlighted that security of the data is important.
It was noted that the Opportunity object has organization-wide defaults set to Private with access via the role hierarchy. Sales wants to keep this security in place for the dashboard. Looking at theOpportunity data, the consultant sees that the VP of sales can have access to up to 20,000 records and is unsure if sharing inheritance can be used.
Which approach ensures data security for the new Opportunity dataset?

A) Flatten the role hierarchy in the dataflow recipe and set a security predicate based on Opportunity owner and role path.
B) Enable Inherit Sharing from Salesforce in the analytics settings and set Opportunity as the source on the dataset.
C) Run the Sharing Inheritance Coverage Assessment for the Opportunity object in the analytics settings.


Solutions:

Question # 1
Answer: B
Question # 2
Answer: A
Question # 3
Answer: B
Question # 4
Answer: C
Question # 5
Answer: C

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