#Data Cloud76 utenti parlano di questo argomento

We're in the process of connecting Salesforce Data Cloud to our WordPress marketing site to track web engagement — page activity, CTA clicks, and form fills. We want to capture behavioral data and properly identify visitors when they submit a form, so we can stitch browsing activity to an identified record. (All tied to our Marketing Cloud Next/Advanced platform analytics)    We're evaluating two paths and would love input from anyone who has been through this decision, particularly in a B2B context.     

Path 1 — GA4 Connector

Path 2 — Manual Web SDK with Sitemap     

Questions   

1. For a B2B site focused purely on page engagement and form fills, does the GA4 connector capture an equivalent level of behavioral data compared to a manually configured sitemap? Or are there meaningful gaps?     

2. Identity resolution is our biggest concern with the GA4 path. When a visitor submits a form, will the GA4 connector properly stitch that known identity (email) back to their anonymous browsing history?    

3. Are there any known data quality issues with the GA4 path — such as bot traffic inflating profiles?     

4. For those who've implemented the manual SDK: how complex was the sitemap build for a non-ecommerce site? We'd need to cover page type definitions, button/CTA clicks, and form submission events (for our MCA forms)       

@* Data 360 *

Trailhead のモジュール「Data Graphs in Data 360」の単元「Create a Data Graph」で、ハンズオン Challenge に合格できず困っています。 

■ 表示されるエラー 

Challenge は Data Cloud ではまだ完了していません 

Make sure the my_test_dg data graph is saved, built, and active. If the Last Run Status still shows 'Processing', wait a few more minutes. 

■ データグラフの状態（Data Graphs の一覧） 

・Data Graph Label / API Name：my_test_dg 

・Primary DMO：Individual 

・Data Space：default 

・Status：Active 

・Last Run Status：Success 

・Type：Standard Data Graph 

・Schedule：Weekly 

・Record Count：1,467 

■ データグラフの構成 

・Individual（主 DMO）：Birth Date、Created Date、First Name、Last Name 

・Contact Point Address（Individual の下） 

・Account Contact（Contact Point Address の下）：Account、Contact Email、Last Activity Date 

■ 実施したこと 

・ブラウザのキャッシュクリア 

・データグラフの再構築（Save and Build） 

・データグラフを削除し、教材の手順通りに作り直し 

・Challenge 欄の「起動」ボタンから開いた組織で作業していることを確認 

・ステータスが Active / Success になり、処理中のアイコンが消えてから Challenge を確認  

・Trailheadを言語設定を英語に変更し確認

■ 環境 

・Data Cloud Playground（期限：2026/10/20 午前9:00 JST） 

同じ現象に遭遇された方や、解決方法をご存じの方がいらっしゃいましたら、ご教示いただけますと幸いです。 

よろしくお願いいたします。 

#Trailhead Challenges  #Trailhead  #Data Cloud  #Data360  #Salesforce Developer  #Salesforce_developer

Builder Central (Beta) shows "Failed to fetch" on the welcome screen in my Agentforce Developer Edition org. 

Console: CORS preflight to

is blocked. The OPTIONS response is HTTP 204 with no Access-Control-Allow-Origin header. 

Reproducible with curl from outside the browser for any Origin, so it is not a client-side issue. 

"Connect an org" logs in successfully but never returns to the app. 

Org: nexustrade-portal-dev-ed, Home Org ID 00DgK00000WFVD2. Workspace ID: b6f6c7b9-dd87-4ca5-99e9-0d74efb79d36. 

I have followed the steps - 

1. enable data cloud - https://help.salesforce.com/s/articleView?id=data.c360_a_setup_provision.htm&type=5
2. enable einstein AI from einstein setup - https://help.salesforce.com/s/articleView?id=ai.generative_ai_enable.htm&type=5
3. enable agentforce - 
4. enable builder central
5. assign permission set - Access Builder Central
6. launch the builder central(beta) from setup

Salesforce Developer Roadmap in the AI Era (2026–2027) 

Hi Trailblazers, 

With Agentforce, Data 360, and AI becoming part of Salesforce development, I believe developers need to strengthen their core technical skills while learning new AI capabilities.

Here is my suggested learning roadmap for beginners and working professionals. 

1. Salesforce Fundamentals

• CRM basics, Objects, Fields, and Relationships
• Security, OWD, Profiles, and Permission Sets
• Flow Builder and Validation Rules

Salesforce Developer Beginner

• SOQL, SOSL, and Relationship Queries
• Apex Classes, Triggers, and Collections
• Bulkification, Governor Limits, and Test Classes

Apex Basics

• HTML, CSS, and JavaScript
• Components, Events, and Data Binding
• LWC with Apex and Lightning Data Service

LWC Developer Guide

• REST APIs, JSON, and OAuth 2.0
• Named Credentials and Apex Callouts
• Platform Events and Asynchronous Apex

Apex Integration Services

• VS Code, Salesforce CLI, and Git
• Sandboxes, Deployments, and Testing
• CI/CD and DevOps Center

Salesforce CLI

• Agentforce Builder, Subagents, and Actions
• Agent Script and Prompt Builder
• Apex and Flow Actions for AI Agents
• Agent Testing, Security, and Debugging

Agentforce Developer Guide

• Data Streams and Data Lake Objects
• Data Mapping and Identity Resolution
• Data Graphs, Retrieval, and Agentforce Grounding

Data 360 Learning

Data 360 Overview – SFDCINDIA

Build at least three practical projects:

1. Student Management System – Admin, Apex, and LWC
2. Customer Support Application – Flow, Integration, and Security
3. AI Customer Support Agent – Agentforce, Actions, and Data 360

My Suggestion:

Don't jump directly into Agentforce without understanding Salesforce fundamentals.

Learn Salesforce → SOQL → Apex → LWC → Integration → DevOps → Agentforce → Data 360

AI can help developers write code faster, but understanding business requirements, architecture, security, debugging, and testing will remain essential.

My Key Point: The future belongs to developers who understand both Salesforce Development and AI.

What skills are you focusing on to stay relevant in the AI era? 

Venkat Yadav | SFDCINDIA

#Salesforce Developer #Salesforce Admin #Agentforce #Data Cloud #TrailblazerCommunity #Trailhead Challenges

Hi Trailblazers!  

If you're planning to learn Salesforce Data 360 (formerly Data Cloud), here is a simple roadmap to follow.

1. Data 360 Basics

• Introduction, Architecture and Real-Time Use Cases
• Key Features and Benefits

2. Setup and Data Ingestion

• Data 360 Setup and Permissions
• Data Spaces, Data Streams and Connectors
• Zero Copy Integration

3. Data Modelling

• Data Lake Objects (DLOs)
• Data Model Objects (DMOs)
• Data Mapping and Transformations

4. Identity Resolution

• Matching and Reconciliation Rules
• Unified Customer Profiles

5. Insights and Segmentation

• Calculated Insights and Streaming Insights
• Segments and Data Graphs

6. Data Activation

• Activation Targets
• Data Actions and Flow Integration

7. Data 360 with Agentforce

• Structured and Unstructured Data
• Search Indexes and Retrievers
• Data Libraries and Agentforce Integration

8. Security and Practical Experience

• Data Security and Governance
• Monitoring and Troubleshooting
• End-to-End Real-Time Project

 Useful Learning Resources 

🔗 SFDCINDIA – Salesforce Data 360 Blog

https://sfdcindia.com/blog/salesforce-data-360

🔗 Salesforce Data 360 Learning Trail

https://trailhead.salesforce.com/content/learn/trails/data-cloud-explore-setup-to-activation

🔗 Data 360 Fundamentals

https://trailhead.salesforce.com/content/learn/trails/unlock-your-data-with-data-cloud

🔗 Salesforce Official Documentation

https://help.salesforce.com/s/articleView?id=data.c360_a_data_ingestion.htm&type=5

🔗 Data 360 Consultant Certification

https://trailhead.salesforce.com/credentials/data360consultant

My Suggestion:

Start with Data Streams, DLOs, DMOs, and Data Mapping before moving to advanced topics.

Focus on hands-on practice and try to build at least one end-to-end project. 

 Which Data 360 topic do you find most challenging? 

Let's share our experiences and learn together! 

#Data Cloud #Data360 #Agentforce #Trailhead Challenges #TrailblazerCommunity

Good afternoon everyone, how are you? 

We have some questions regarding the Repeater Block and its pre-configuration. We saw in a documentation that it was necessary to force a relationship between our Products DMO and the Individual to be able to associate it with the Data Graph, and then personalize our abandoned cart emails. 

The question we have is:  

Is this step of forcing a relationship really necessary? Or do we need a separate Data Graph for each function? Will each Data Graph work as an activation (comparing it to the use of Data Cloud activation to MCE) ? 

Thank you.