#Data Cloud79 diskutieren mit

Subject: Unable to Access PDF Content in Data Cloud Data Explorer Using Azure Blob Storage and UDLO

Product:

Salesforce Data Cloud 

Description

We are implementing an integration to ingest PDF files from Dropbox into Salesforce Data Cloud through Azure Blob Storage.

We have configured the Azure Blob Storage connection, created the Unstructured Data Lake Object (UDLO) and Unstructured Data Model Object (UDMO), and configured the search index.

We have also implemented Azure Event Grid notifications and an Azure Function to notify Data Cloud when files are created or deleted in Azure Blob Storage. The ingestion API returns accepted: true, indicating that Data Cloud has accepted the notification.

However, we are unable to verify that the actual PDF content has been processed and made available for retrieval through Agentforce.

The UDLO displays the PDF file metadata, and the search index status is Ready. However, we need clarification on how to access and validate the extracted PDF content and generated chunks in Data Cloud.

We found a similar issue discussed in the Salesforce Trailblazer Community: Not able to ingest the Unstructured (PDF) data from Azure.

Current Configuration

1. Azure Blob Storage is configured as the source for PDF files.
2. The Azure connection and SAS authentication are configured.
3. A UDLO is created with the directory path and PDF file pattern (*.pdf).
4. The UDLO is mapped to a UDMO.
5. A search index is configured on the UDMO.
6. Azure Event Grid is configured to notify Data Cloud about file creation and deletion events.
7. An Azure Function sends notifications to the Data Cloud unstructured ingestion API.
8. The API returns accepted: true.
9. PDF file metadata is visible in the UDLO, and the search index status is Ready.

Issue

Although the PDF files are listed in the UDLO and the search index shows a Ready status, we need to confirm whether the actual PDF text has been extracted, processed into searchable chunks, and made available through the configured retriever.

We also need guidance on how to validate the generated chunks and retrieve the PDF content through Agentforce.

Assistance Required

Could you please help us clarify the following?

1. What is the expected processing workflow for extracting PDF content from Azure Blob Storage when using a UDLO and UDMO?
2. How can we verify that the PDF text has been extracted and that the corresponding chunk objects have been generated successfully?
3. Is it expected that unstructured PDF content will not appear in Data Explorer in the same way as structured CSV data?
4. If the search index status is Ready but the PDF content is not retrievable, what additional configurations or troubleshooting steps should we perform?
5. How should we configure and validate the search index and retriever so that Agentforce can retrieve relevant PDF content and generate answers based on the documents?
6. Are there any additional permissions, file notification requirements, ingestion steps, or processing delays that could prevent PDF content from becoming searchable?

Expected Outcome

We would like to confirm that PDF content is being processed correctly in Data Cloud and obtain the recommended configuration and troubleshooting steps required to retrieve relevant PDF passages through Agentforce.

Please provide guidance on the expected behavior of UDLO, UDMO, search index processing, generated chunks, and retriever configuration for unstructured PDF data stored in Azure Blob Storage. 

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