Implement knowledge mining and information extraction solutions →mediumMultiple ChoiceObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
Exhibit
Refer to the exhibit.
{
"dataSourceName": "myblob",
"skillsetName": "mypdfskillset",
"targetIndexName": "myindex",
"parameters": {
"configuration": {
"dataToExtract": "contentAndMetadata",
"parsingMode": "json"
}
},
"fieldMappings": [
{"sourceFieldName": "metadata_storage_path", "targetFieldName": "path"},
{"sourceFieldName": "content", "targetFieldName": "content"}
]
}You have an Azure AI Search indexer that is configured to index PDF files from Azure Blob Storage. The indexer is not extracting any text from the PDFs, and no errors are reported. You review the indexer definition as shown. What is the most likely cause?
⚠ Common exam trap
Many exam-takers assume the indexer will automatically detect the file type and parse accordingly, but Azure AI Search requires explicit configuration of parsingMode to handle non-JSON formats like PDFs, and the absence of errors misleads candidates into looking at other configuration details.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The parsingMode is set to 'json' instead of 'default' or 'text'
The parsingMode set to 'json' tells the indexer to expect JSON files, not PDFs. Since PDFs are binary or text-based, the indexer cannot extract any content, but because it does not fail (JSON parsing simply returns no text), no error is reported. Changing parsingMode to 'default' or 'text' allows the indexer to correctly parse the PDF binary stream and extract text.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
The parsingMode is set to 'json' instead of 'default' or 'text'
Why this is correct
JSON mode expects JSON files, not PDFs.
- ✗
The field mapping from 'content' to 'content' is redundant and causes a conflict
Why it's wrong here
It is valid.
- ✗
The field mapping for 'metadata_storage_path' should be to 'metadata_storage_path'
Why it's wrong here
Mapping to 'path' is valid.
- ✗
The dataToExtract is set to 'contentAndMetadata' which is not supported for PDFs
Why it's wrong here
It is supported.
Quick reference
Azure Blob Storage Tier Comparison
| Tier | Storage Cost | Retrieval Cost | Latency | Use Case |
|---|---|---|---|---|
| Hot | Highest | Lowest | Immediate | Active data, frequent reads |
| Cool | Lower | Higher | Immediate | Data accessed < once / month |
| Cold | Lower still | Higher | Immediate | Data accessed < once / quarter |
| Archive | Lowest | Highest + rehydration delay | Hours | Long-term compliance retention |
Go deeper
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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