
Please go to the 15 second mark for the video. I tried editing the video but for some videos first 15 second blanks out.
Create a matching rule in identity resolution to unify customer data across the selected data space. Run the rule set with fuzzy name and normalized email.
Learn how a rule set consolidates 1,095 source profiles from Salesforce and Amazon S3 into 946 unique unified individuals using identity resolution.
The identity resolution rule set in Data Cloud creates two records, unified profile and unified link, providing a consolidated customer view and a bridge to source records.
Learn how calculated and streaming insights on unified customer data in data cloud drive lifetime value, segmentation, and real-time personalization with activation across systems.
Verify two records appear in the data lake object after ingestion via the api, confirming successful insertion of panel id, date time, and daily cough fields using postman.
Submit data deletion requests via the consent API to delete PII and related records across connected systems, covering right to be forgotten, and 30, 60, and 90 day reprocessing.
Master the Salesforce Data Cloud Consultant Certification
Your Path to Becoming a Certified Salesforce Data Cloud Consultant Starts Here!
Are you ready to accelerate your Salesforce career and become a Salesforce Data Cloud Consultant? This comprehensive preparation course is designed to help you master the skills, knowledge, and strategies needed to pass the certification exam with confidence.
Exam Outline
The Salesforce Data Cloud Consultant exam measures a candidate’s knowledge and skills related to the following objectives. Candidates should have knowledge and expertise in each of the areas below.
Data Cloud Overview: 18%
Describe Data Cloud’s function, key terminology, and business value.
Identify typical use cases for Data Cloud.
Articulate how Data Cloud works and its dependencies.
Describe and apply the principles of data ethics.
Data Cloud Setup and Administration: 12%
Apply Data Cloud permissions, permission sets, and org-wide settings.
Describe and configure the available data stream types and data bundles.
Identify use cases for data spaces and create data spaces based on requirements.
Manage and administer Data Cloud using reports, dashboards, flows, packaging, and data kits.
Diagnose and explore data using Data Explorer, Profile Explorer, and APIs.
Data Ingestion and Modeling: 20%
Identify the different transformation capabilities within Data Cloud.
Describe processes and considerations for data ingestion from different sources into Data Cloud.
Define, map, and model data using best practices and aligning to requirements for identity resolution.
Use available tools to inspect and validate ingested and modeled data.
Identity Resolution: 14%
Describe matching and how its rule sets are applied.
Reconcile data and describe how its rule sets are applied.
Describe the results of identify resolution and use cases.
Segmentation and Insights: 18%
Define basic concepts of segmentation and use cases.
Identify scenarios for analyzing segment membership.
Configure, refine, and maintain segments within Data Cloud.
Identify and differentiate between calculated and streaming insights.
Act on Data: 18%
Define activations and their basic use cases.
Use attributes and related attributes.
Identify and analyze timing dependencies affecting the Data Cloud lifecycle.
Troubleshoot common problems with activations including accepted/rejected counts, errors, and not seeing related attributes.
Use data actions and identify their requirements and intended use cases.
Who Is This Course For?
Salesforce professionals looking to enhance their expertise in Salesforce Data Cloud.
Data architects, consultants, and administrators aiming to refine their skills.
Individuals preparing for the Salesforce Certified Data Cloud Consultant exam.
Professionals seeking to improve data management, integration, and analytics within Salesforce.
Beginners interested in specializing in data solutions and cloud technologies.