Suggested Answer:D🗳️
You create a data source, a skillset, and an index. These three components become part of an indexer that pulls each piece together into a single multi-phased operation. Note: At the start of the pipeline, you have unstructured text or non-text content (such as image and scanned document JPEG files). Data must exist in an Azure data storage service that can be accessed by an indexer. Indexers can "crack" source documents to extract text from source data. References: https://docs.microsoft.com/en-us/azure/search/cognitive-search-tutorial-blob
I think the answer is create index, see step 2
https://docs.microsoft.com/en-us/azure/search/search-what-is-azure-search#how-to-use-azure-cognitive-search
You create a search index before uploading the content.
Given answer is correct!
https://docs.microsoft.com/en-us/azure/search/search-what-is-azure-search#how-to-use-azure-cognitive-search
"In this article", yes. In Step 3, it says: "Typically", index creation is a code-based exercise, completed prior to loading data. "However", as this tutorial indicates, the wizard can generate a basic index for any data source it can crawl.
It's a chicken and egg situation. Pity!
The wizard can generate a basic index already... so when the search service was provisioned in this case, was a basic index created? Then Load Data... else Create Index.
I so hate this question now.
The answer should be to load the data as the first step is to create a data source, than an index, than run the indexer... https://docs.microsoft.com/en-us/azure/search/cognitive-search-tutorial-blob#3---create-the-pipeline
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