Salesforce Data Cloud
🔢🔍 ⏰🚀Data Cloud Preparation | Are You In?⏰🚀🔢🔍
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1️⃣ Solution Overview: 18%
-Describe Data Cloud’s function, key terminology, and business value.
-Identify typical use cases for Data Cloud.
-Articulate the Data Cloud lifecycle and its dependencies
-Describe and apply the principles of data ethics
2️⃣ 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
3️⃣ 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
4️⃣ 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
5️⃣ 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
6️⃣ 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
-lopsact
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