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The benefit of obtaining the Salesforce Mobile and Desktop Exploration in Einstein Analytics (ANC101) Exam Certification
- Import and discover external data of your own
- While appearing for an interview, Salesforce Mobile and Desktop Exploration in Einstein Analytics (ANC101) exam aspirants find an edge over other counterparts.
- If the applicant has the desire to transfer into a company to a higher-paying role. As always, this credential will help.
- Using a lens to explore a dataset to get the insights you need
- 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.
- Navigate Einstein Analytics from your mobile device or desktop
- Explain what application, datasets, lenses and dashboards are
- This certification will allow you to:
- Explore a dashboard by Chatter and share your thoughts
- 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.
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Topics of Salesforce Mobile and Desktop Exploration in Einstein Analytics (ANC101) Exam
The syllabus for the Salesforce Mobile and Desktop Exploration in Einstein Analytics (ANC101) examination is listed below in detail of each section and their topics:
1. Exploring from Your Desktop
Objectives covered by this section:
- Navigating the Einstein Analytics Home Page
- Exploring a Dashboard
- Exploring a Dataset: The Fundamentals
- What is Einstein Analytics
- Exporting Data from a Lens and Sharing a Lens
- Exploring a Dataset: Going Deeper
2. Uploading and Exploring Your Own Data
Objectives covered by this section:
- Exploring a Dashboard
- Overview of Loading Data
- Exploring Your Data
- Adding Your Data and Defining the Metadata
- Verifying That Your Data Loaded Correctly
- Preparing Your Data
3. Exploring from Your Mobile Device
Objectives covered by this section:
- Installing the Salesforce Einstein Analytics App and Logging in to an Account
- Exploring a Dataset
- Exploring a Dashboard
- Navigating the App
- Adding Data with the Einstein Analytics Mobile Connector
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How to study the Salesforce Mobile and Desktop Exploration in Einstein Analytics (ANC101) Exam
Anyone, who is planning to write Salesforce Mobile and Desktop Exploration in Einstein Analytics (ANC101) Exam, should focus on their study material. So one of the questions is the platform from where they can get the right study material for their preparation. To get the right or valid material from online sources, they can refer some of the authorized websites. We understand its very difficult to get a genuine website from where student or participant can learn the right things so we recommend taking the ANC101 practice exams as they are the best source of preparation. We have already defined all of the course content so if you tried to explore it based on the course content it could be very easy for you to plan your study and prepare notes accordingly.
Preparation and study materials for the Salesforce Mobile and Desktop Exploration in Einstein Analytics (ANC101) Exam are provided by several online platforms including the Salesforce Trailhead official website for free and by certificate-questions in the form of ANC101 exam dumps. Interested candidates can simply search online with the name of the exam and can find learning materials. In order to use the material provided by Salesforce Trailhead, visit the links in the reference section of this document.
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Salesforce ANC-101 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security | 16% | - Implement data and app security
|
| Topic 2: Einstein Discovery | 12% | - Model creation and interpretation
|
| Topic 3: Analytics Dashboard Implementation | 19% | - Build dashboard components
|
| Topic 4: Analytics Dashboard Design | 13% | - Design dashboards and UX
|
| Topic 5: Admin / Configuration | 17% | - CRM Analytics enablement and permissions
|
| Topic 6: Data Layer | 23% | - Data extraction and preparation
|
