The Salesforce Data-Con-101 exam preparation guide is designed to provide candidates with necessary information about the Data 360 Consultant exam. It includes exam summary, sample questions, practice test, objectives and ways to interpret the exam objectives to enable candidates to assess the types of questions-answers that may be asked during the Salesforce Certified Data 360 Consultant exam.
It is recommended for all the candidates to refer the Data-Con-101 objectives and sample questions provided in this preparation guide. The Salesforce Data 360 Consultant certification is mainly targeted to the candidates who want to build their career in Salesforce Consultant domain and demonstrate their expertise. We suggest you to use practice exam listed in this cert guide to get used to with exam environment and identify the knowledge areas where you need more work prior to taking the actual Salesforce Data 360 Consultant exam.
Salesforce Data-Con-101 Exam Summary:
|
Exam Name
|
Salesforce Data 360 Consultant |
| Exam Code | Data-Con-101 |
| Exam Price |
Registration fee: USD 200 Retake fee: USD 100 |
| Duration | 105 minutes |
| Number of Questions | 65 |
| Passing Score | 70% |
| Recommended Training / Books |
Prepare for your Salesforce Data 360 Consultant Exam Discover Salesforce Data 360 Fundamentals - SDC101 Design and Build Effective Solutions with Data 360 - SDC301 |
| Schedule Exam |
Kryterion Webassessor PEARSON VUE |
| Sample Questions | Salesforce Data-Con-101 Sample Questions |
| Recommended Practice | Salesforce Certified Data 360 Consultant Practice Test |
Salesforce Data 360 Consultant Syllabus:
| Section | Objectives | Weight |
|---|---|---|
| Solution Positioning |
- Describe Data 360’s key terminology and business value. - Articulate Data 360’s foundational role in generative and predictive AI. - Identify initial use cases for Data 360. - Describe the principles of data ethics and governance. |
14% |
| Data 360 Setup and Administration |
- Configure Data 360 permissions, permission sets, and organization-wide settings. - Apply data governance requirements to platform configuration. - Manage the development lifecycle with available tooling. - Use tooling to diagnose and troubleshoot common issues. |
13% |
| Data Source Connection and Ingestion |
- Explain data transformation capabilities within Data 360. - Describe processes and considerations for data ingestion from varied sources into Data 360. - Describe Data 360’s data collaboration capabilities, including Zero-Copy. |
18% |
| Harmonization and Unification |
- Define the purpose, process, and supported use cases of unification. - Model data in Data 360. |
17% |
| Data Enhancements, Sharing, and Analysis |
- Demonstrate how to enhance data and build insights on unified data. - Explain how to reference Data 360 data from other systems. - View and build reports and dashboards using Data 360. - Apply predictive and generative AI tooling capabilities of Data 360 to customer scenarios. |
18% |
| Data Activations and Utilization |
- Define basic concepts of segmentation and use cases. - Manage segments within Data 360. - Publish Activations within Data 360. - Act on data. - Use Data 360 in Salesforce flows. |
20% |
