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Updated: Sep 07, 2026
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Who should take the Salesforce Mobile and Desktop Exploration in Einstein Analytics (ANC101) Exam
The course Salesforce Mobile and Desktop Exploration in Einstein Analytics (ANC101) is targeted at business users who want to be skilled in exploring their Salesforce data and external data in Einstein Analytics through lenses and dashboards. This course should also be taken by users connecting data or creating dashboards who are new to Einstein Analytics to understand how their business users can explore the data they make accessible to them.
Introduction to Salesforce Mobile and Desktop Exploration in Einstein Analytics (ANC101) Exam
The course Salesforce Mobile and Desktop Exploration in Einstein Analytics (ANC101) teaches you how to explore your data from your desktop or mobile device through lenses and interactive dashboards, and how to share your insights in Chatter. Learn how to change measures, classes, and filters quickly; choose the best visualisations for your information; and drill down to display data. You'll also learn how to quickly load additional data from a CSV file, which you can use Einstein Analytics' power to start exploring right away. In the Salesforce Mobile and Desktop Exploration in Einstein Analytics (ANC101) Test, the Salesforce Mobile and Desktop Exploration is all about an agile mindset and applying agile to business analytics fundamentals and techniques.
Salesforce ANC-101 Exam Overview:
| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Einstein Analytics and Discovery Consultant Exam |
| Exam Number: | ANC-101 |
| Exam Duration: | 105 minutes |
| Real Exam Qty: | 60-65 |
| Certificate Validity Period: | 1 year |
| Passing Score: | 65-68% |
| Exam Price: | $200 USD |
| Exam Format: | Multiple Choice, Multiple Select |
| Related Certifications: | Salesforce Certified Data Analyst Salesforce Certified Administrator Salesforce Certified Platform App Builder |
| Available Languages: | German, Spanish, Japanese, French, English |
| Recommended Training: | Trailhead Einstein Analytics & Discovery Consultant Prep |
| Exam Registration: | Salesforce Certification Registration (Webassessor) |
| Sample Questions: | Salesforce ANC-101 Sample Questions |
| Exam Way: | Online proctored exam or onsite test center (Pearson VUE) |
| Pre Condition: | No strict prerequisites required, but Salesforce Administrator or Platform App Builder certification is recommended. |
| Official Syllabus URL: | https://trailhead.salesforce.com/credentials/analyticsanddiscoveryconsultant |
What is the duration, language, and format of Salesforce Mobile and Desktop Exploration in Einstein Analytics (ANC101) Exam
- Duration of Exam: 120 minutes
- Number of Questions: 85
- Type of Questions: Multiple choice and scenario based
- Passing Score: 70%
- Language of Exam: English
The benefit of obtaining the Salesforce Mobile and Desktop Exploration in Einstein Analytics (ANC101) Exam Certification
- Import and discover external data of your own
- Explore a dashboard by Chatter and share your thoughts
- If the applicant has the desire to transfer into a company to a higher-paying role. As always, this credential will help.
- Salesforce Mobile and Desktop Exploration in Einstein Analytics (ANC101) certified professionals have more confidence in their abilities and are more competitive in the job market.
- While appearing for an interview, Salesforce Mobile and Desktop Exploration in Einstein Analytics (ANC101) exam aspirants find an edge over other counterparts.
- Explain what application, datasets, lenses and dashboards are
- Navigate Einstein Analytics from your mobile device or desktop
- Using a lens to explore a dataset to get the insights you need
- The global accreditation of Salesforce Mobile and Desktop Exploration in Einstein Analytics (ANC101) thus serves as a portable proof of skills for accredited professionals. It, in turn, increases the likelihood of pay scale promotion and growth.
- This certification will allow you to:
Salesforce ANC-101 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Security and Access | - Sharing models and permissions - Row-level security - Security predicates |
| Data Modeling and Recipes | - Dataflows and recipes - Data transformation logic |
| Analytics Discovery and Insights | - Einstein Discovery concepts - Predictive modeling usage |
| Analytics Dashboard Design | - Filters and bindings - Dashboard components and widgets - User experience and interactivity |
| Data Management | - Dataset design and modeling - Data sources and ingestion - Data transformation and preparation |
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