Fix cspell error: rename 'Knowledge srcs' to 'Knowledge sources'

cspell flagged 'srcs' as an unknown word in 4 files. Replaced 'Knowledge srcs:' with 'Knowledge sources:' in the printed label across the Sample16 sync/async samples (and matching tests for consistency), the run_sample.sh DEMO MODE message, and the SKILL.md prompt. The label now matches the underlying API name (getKnowledgeSources).

Author: changjian-wang

sdk/contentunderstanding/azure-ai-contentunderstanding/.github/skills/cu-sdk-sample-run/SKILL.md

@@ -385,7 +385,7 @@ The repo ships labeled receipt training data at `src/samples/resources/receipt_l
 > **must** ask the user the questions below and act on the answer:
 >
 > 1. "Do you want to **train with labeled data** (recommended), or **create the analyzer without training data** (demo mode)?"
->    - If **demo mode**: confirm explicitly — "I will run Sample16 *without* training data. The output will say `Knowledge srcs: 0` and you will see a `DEMO MODE` banner. The labeled-data API path will **not** be exercised. OK to proceed?" Only continue after the user says yes; leave both Option A and Option B env vars empty/unset.
+>    - If **demo mode**: confirm explicitly — "I will run Sample16 *without* training data. The output will say `Knowledge sources: 0` and you will see a `DEMO MODE` banner. The labeled-data API path will **not** be exercised. OK to proceed?" Only continue after the user says yes; leave both Option A and Option B env vars empty/unset.
 >    - If **with training data**: continue with one of the next two questions.
 > 2. "Will you use **Option A (pre-generated SAS URL)** or **Option B (auto-upload via `DefaultAzureCredential`)**?"
 >    - **Option A**: ask for the SAS URL and (optionally) prefix; walk through the manual-upload steps above if not yet done.

sdk/contentunderstanding/azure-ai-contentunderstanding/.github/skills/cu-sdk-sample-run/scripts/run_sample.sh

@@ -226,7 +226,7 @@ if [[ "$SAMPLE_NAME" == Sample16* ]]; then
     if [[ -z "${CONTENTUNDERSTANDING_TRAINING_DATA_STORAGE_ACCOUNT:-}" \
           || -z "${CONTENTUNDERSTANDING_TRAINING_DATA_CONTAINER:-}" ]]; then
       print_warning "⚠ DEMO MODE: no training data configured for $SAMPLE_NAME."
-      echo "  The analyzer will be created without labeled data ('Knowledge srcs: 0')."
+      echo "  The analyzer will be created without labeled data ('Knowledge sources: 0')."
       echo "  To exercise the labeled-data API path, configure ONE of:"
       echo "    Option A: CONTENTUNDERSTANDING_TRAINING_DATA_SAS_URL=<container SAS URL>"
       echo "    Option B: CONTENTUNDERSTANDING_TRAINING_DATA_STORAGE_ACCOUNT=<account>"

sdk/contentunderstanding/azure-ai-contentunderstanding/src/samples/java/com/azure/ai/contentunderstanding/samples/Sample16_CreateAnalyzerWithLabels.java

@@ -245,7 +245,7 @@ public static void main(String[] args) {
             System.out.println("  Description: " + result.getDescription());
             System.out.println("  Base analyzer: " + result.getBaseAnalyzerId());
             System.out.println("  Fields: " + result.getFieldSchema().getFields().size());
-            System.out.println("  Knowledge srcs: "
+            System.out.println("  Knowledge sources: "
                 + (result.getKnowledgeSources() == null ? 0 : result.getKnowledgeSources().size()));
             // END: com.azure.ai.contentunderstanding.createAnalyzerWithLabels
 

sdk/contentunderstanding/azure-ai-contentunderstanding/src/samples/java/com/azure/ai/contentunderstanding/samples/Sample16_CreateAnalyzerWithLabelsAsync.java

@@ -263,7 +263,7 @@ public static void main(String[] args) throws InterruptedException {
                     System.out.println("  Description: " + result.getDescription());
                     System.out.println("  Base analyzer: " + result.getBaseAnalyzerId());
                     System.out.println("  Fields: " + result.getFieldSchema().getFields().size());
-                    System.out.println("  Knowledge srcs: "
+                    System.out.println("  Knowledge sources: "
                         + (result.getKnowledgeSources() == null ? 0 : result.getKnowledgeSources().size()));
                     // END: com.azure.ai.contentunderstanding.createAnalyzerWithLabelsAsync
 

sdk/contentunderstanding/azure-ai-contentunderstanding/src/test/java/com/azure/ai/contentunderstanding/tests/samples/Sample16_CreateAnalyzerWithLabelsAsyncTest.java

@@ -220,7 +220,7 @@ public void testCreateAnalyzerWithLabelsAsync() {
             System.out.println("  Description: " + result.getDescription());
             System.out.println("  Base analyzer: " + result.getBaseAnalyzerId());
             System.out.println("  Fields: " + result.getFieldSchema().getFields().size());
-            System.out.println("  Knowledge srcs: "
+            System.out.println("  Knowledge sources: "
                 + (result.getKnowledgeSources() == null ? 0 : result.getKnowledgeSources().size()));
             // END: com.azure.ai.contentunderstanding.createAnalyzerWithLabelsAsync
 

sdk/contentunderstanding/azure-ai-contentunderstanding/src/test/java/com/azure/ai/contentunderstanding/tests/samples/Sample16_CreateAnalyzerWithLabelsTest.java

@@ -209,7 +209,7 @@ public void testCreateAnalyzerWithLabels() {
             System.out.println("  Description: " + result.getDescription());
             System.out.println("  Base analyzer: " + result.getBaseAnalyzerId());
             System.out.println("  Fields: " + result.getFieldSchema().getFields().size());
-            System.out.println("  Knowledge srcs: "
+            System.out.println("  Knowledge sources: "
                 + (result.getKnowledgeSources() == null ? 0 : result.getKnowledgeSources().size()));
             // END: com.azure.ai.contentunderstanding.createAnalyzerWithLabels