#Data Cloud75 discutindo

Org ID: 00Dbg000007XVPB (sandbox devAnis, refreshed from production 00D20000000CjigEAC).  

Data Cloud was provisioned in this org on 2026-10-20. Data Cloud Setup Home shows "Your Data Cloud instance is live and connected to your home org" (1 data space, 7 connections).

Creating an Agentforce Data Library with Knowledge articles as its source (Article__kav, content field Contenu__c, data category filter) always fails at the first step, "Ingesting data into Data Cloud", with the message "Data Cloud asset provisioning failed. Please retry". We tried Retry and recreating the library: the error is the same. 

The org contains Knowledge data streams copied from production during the sandbox refresh: Article_kav_Home, Article_DataCategorySelection_Home, DataCategory_Home and DataCategoryGroup_Home (created 2025-04-25). They are all in "Needs Activation" status and have never run. Their data lake objects already exist (for example Article_DataCategorySelection_Home__dll is ACTIVE), and Article_kav_Home is mapped in the default data space. The stream page offers no activation action, and clicking the refresh icon does not change the status. All 54 data streams in this org are in "Needs Activation". 

We also tried to delete Article_kav_Home from the Data Streams list view ("Delete Data Stream"). The UI showed "Data Stream submitted for deletion", but 30 minutes later the stream (Id 1dsSZ0000000CkLYAU) and its data lake object Article_kav_Home__dll still exist, unchanged, and no error notification was received.

The user creating the library has the System Administrator profile and the Data Cloud Architect permission set. The Data Cloud Salesforce Connector permission set (sfdc_a360_sfcrm_data_extract) has read access to Article__kav and its fields. 

Questions:

1. How can we activate or remove these pre-existing Knowledge data streams, so that the Data Library can provision its own assets?
2. Production also has Knowledge data streams. What procedure should we repeat in every sandbox refreshed from production?

#Data Cloud  #Agentforce

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