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Salesforce Analytics-Con-201 Exam Overview:
| Certification Vendor: | Salesforce |
| Exam Name: | Salesforce Certified CRM Analytics and Einstein Discovery Consultant Exam |
| Exam Number: | Analytics-Con-201 |
| Available Languages: | English |
| Related Certifications: | Salesforce Certified Administrator Salesforce Certified Platform App Builder Salesforce Certified Data Analyst |
| Real Exam Qty: | 60 |
| Exam Duration: | 105 minutes |
| Certificate Validity Period: | Maintained via Salesforce certification maintenance (Trailhead modules, annual upkeep) |
| Exam Format: | Multiple Choice, Multiple Select, Scenario-based Questions |
| Recommended Training: | Salesforce Trailhead CRM Analytics Modules Einstein Discovery Learning Resources |
| Exam Registration: | Pearson VUE Salesforce Exams Salesforce Certification Registration |
| Sample Questions: | Salesforce Analytics-Con-201 Sample Questions |
| Exam Way: | Online proctored exam via Pearson VUE or authorized testing centers |
| Pre Condition: | No strict prerequisites required, but recommended experience with Salesforce CRM Analytics (Tableau CRM), data modeling, and basic Salesforce platform knowledge |
| Official Syllabus URL: | https://trailhead.salesforce.com/credentials |
Salesforce Analytics-Con-201 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Integration and Connectivity | - Data synchronization and refresh strategies - Connecting external data sources |
| Data Management and Preparation | - Dataset creation and configuration in CRM Analytics - Data transformation and dataflows |
| Dashboard and App Development | - Lens creation and dashboard design - Interactive filters and user experience optimization |
| Einstein Discovery | - Model building and predictions - Insights interpretation and recommendations |
| Security and Access | - Row-level security and sharing rules - App and dataset permissions |
Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:
1. CRM Analytics team is asked to build a Service Analytics dashboard for the service agents.
What are the main "Deep Design Thinking" principles the team should keep in mind during the discovery sessions?
A) Clarity - Efficiency - Consistency
B) Priority - Logic - Level of Granularity
C) Purpose - Structure - Surface
2. ACRM Analytics consultant is reviewing results from an Einstein Discovery story with a business user. They agree with the findings but notice that none of the fields used in the story have a correlation value greater than
4%. The client is now concerned that the model
may not be good enough to deploy.
Which action should the consultant take?
A) Edit the model accuracy settings and rerun it to evaluate the correlation.
B) Use the appropriate algorithm and update the model.
C) A Identify additional data that may have a stronger relationship with the outcome variable.
3. A CRM Analytics consultant is asked to help a company report on its sales activity. The company wants to train some users to create dashboards. The company also wants one other specific team to be able to use the dashboards.
What should the consultant do to address these requirements?
A) Use a permission set license with two different levels of access.
B) configure a permission set license assignment with two different levels of access.
C) Clone the existing permission set with different system permissions.
4. Which recommended technique should a CRM Analytics consultant
use to access CRM Analytics data from a remote app or website?
A) Use HTTPS to call the /wave/query API, supplying an encoded SAQL query asa parameter.
B) Export the data to a CSV file and load it on the remote site.
C) Use an iFrame to embed the Salesforcepage in a remote site.
5. A client has two datasets that are used across seven different dashboards. Three of these dashboards are used by marketing and four are used by sales. The client requires that only marketing can access the marketing dashboards and only sales can access the sales dashboards.
Which solution should a consultant recommend?
A) Use two custom apps: one for marketing dashboards with marketing as "viewer" and one for sales dashboards with sales as "viewer". Add the datasets as references to both custom apps.
B) Create three custom apps: one for marketing dashboards with marketing as "viewer", one for sales dashboards with sales as "viewer", and one for datasets where marketing and sales are "viewer".
C) Duplicate the datasets and create two custom apps: one for marketing dashboards and datasets with marketing as "editor" and one for sales dashboards and datasets with sales as "editor".
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: B |
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