I feel like option E is essential too, since having a solid data set for object detection seems like a foundational step for Einstein to work effectively.
I’m a bit confused about the suppression data set in option D. I know it’s about avoiding detection, but I’m not sure how that fits into the overall setup process.
I remember practicing a question about permission sets, so I feel like option C is definitely important for user access, but I can't recall the exact details.
I think option A makes sense because ensuring the model's quality is crucial for a good user experience, but I'm not entirely sure if it's the only step needed.
This looks straightforward. I'd go with options A, B, and C to ensure the system is set up properly for the field users. Uploading the data sets and suppression data seems less critical for the initial deployment.
Okay, I think I've got this. The important things are building the model, populating the custom object for OCR, and assigning the right permissions. I'll make sure to review those steps carefully.
Hmm, this seems like a tricky question. I think the key is making sure the system is properly configured and has the necessary data to perform the AI tasks. I'll need to carefully consider each option.
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