Implement knowledge mining and information extraction solutions →easyMultiple ChoiceObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
Your company has a large set of PDF documents stored in Azure Blob Storage. You need to index these documents in Azure Cognitive Search so that users can search the text content. What is the first step you should take?
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
✓
Create a data source that connects to Azure Blob Storage.
The correct first step is to create a data source that connects to Azure Blob Storage (option C). In Azure Cognitive Search, the indexing pipeline requires a data source definition to specify the location and type of data. After creating the data source, you can then create an index, and finally an indexer to automate the process. Creating a skillset (option B) or an indexer running daily (option D) would come later. Option A is incorrect because the index fields are defined when you create the index, which is not the first step.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Create an index with a field for each metadata property.
Why it's wrong here
The index can be created after or by the indexer, but data source comes first.
- ✗
Create a skillset to extract text from PDFs.
Why it's wrong here
Skillset is optional and not the first step.
- ✓
Create a data source that connects to Azure Blob Storage.
Why this is correct
A data source is required to specify where the data is located.
- ✗
Create an indexer that runs daily.
Why it's wrong here
An indexer requires a data source to be created first.
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 |
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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