Exam AI-102 topic 4 question 3 discussion

https://learn.microsoft.com/en-us/azure/search/search-how-to-large-index#run-indexers-in-parallel If your data source is an Azure Blob Storage container or Azure Data Lake Storage Gen 2, enumerating a large number of blobs can take a long time (even hours) until this operation is completed. As a result, your indexer's documents succeeded count doesn't appear to increase during that time and it might seem it's not making any progress, when it is. If you would like document processing to go faster for a large number of blobs, consider partitioning your data into multiple containers and create parallel indexers pointing to a single index. D for sure

Selected Answer: D

In my opinion, D is correct on this question.

D makes sense. "virtual folders".

FOCUS "virtual folders" word.

Tricky question think of virtual folder AS blob containers and the answer will be obvious

e, option D is the best choice because it leverages the scalability and parallel processing capabilities of Azure Cognitive Search to efficiently index a large volume of documents. By organizing documents into virtual folders and creating an indexer for each folder, you can maximize the throughput of the indexing process. Increasing search units further supports this by allocating more resources to the task, thereby minimizing the time required to make the scanned documents searchable.

I think correct answer is D https://learn.microsoft.com/en-us/azure/search/search-howto-large-index#run-indexers-in-parallel

"One search unit in your service can run one indexer at any given time. Creating multiple indexers is only useful if they can run in parallel" so A and C are out. B is out as you are not running the indexers in parallel. Besides it's hard to image that with millions of scanned you don't have virtual folders in place to split the data already.

D is the answer. https://learn.microsoft.com/en-us/azure/search/search-howto-large-index#run-indexers-in-parallel If you partition your data, you can create multiple indexer-data-source combinations that pull from each data source and write to the same search index. Because each indexer is distinct, you can run them at the same time, populating a search index more quickly than if you ran them sequentially. Make sure you have sufficient capacity. One search unit in your service can run one indexer at any given time. Creating multiple indexers is only useful if they can run in parallel.

D is correct answer. Also marked correct on Udemy course practice test.

Was on exam 7 Jun 2022

correct ans

how to do this is defined here: https://docs.microsoft.com/en-us/azure/search/search-howto-indexing-azure-blob-storage#index-large-datasets The response is missing the data source creation for each virtual folder or blob container. D is not correct, but the less wrong of a response… So I give it a "pass", nowadays it is misleading and not fully correct...

seems to be correct