Yapay Zeka Görüntü Oluşturma Sınavı

Testi çözdüğünüzde cevaplar ve açıklamalar görünür.

1. Which learned process characterizes diffusion image models?
   • They learn a denoising process
   • They retrieve a finished stock image for every prompt
   • They copy one training image pixel for pixel
   • They use only hand-written drawing rules
2. A product combines image generation, editing, upscaling and postprocessing. What should a team evaluate?
   • Only the prompt field, since later stages cannot change the image
   • The complete workflow and final artifact
   • The model name without inspecting the output
   • Only the first generated preview
3. Which details can help communicate a visual goal in a prompt?
   • A guarantee that every tiny feature will render correctly
   • The legal status of the model’s training data
   • Subject, composition, lighting, palette and needed empty space
   • The final output’s provenance after publication
4. Bir diyagram kesin küçük etiketler ve tekrar eden geometri gerektirir. Yaratıcı ne yapmalı?
   • Promptun her etiketin doğru olduğunu garanti ettiğini varsayın
   • Sadece genel stili değerlendirin
   • Çözünürlük yüksekse incelemeyi atla
   • Detayları doğrudan inceleyin ve güvenilmez öğeleri düzenlenebilir şekiller veya metin olarak yeniden oluşturun
5. Why inspect an image at its intended display size?
   • A thumbnail can hide distortions or unreadable text that appear in the final layout
   • Every image becomes accurate when enlarged
   • It proves the depicted event occurred
   • A small preview always has more detail than the full image
6. What does upscaling guarantee about depicted details?
   • It restores the original object’s physically correct structure
   • Nothing about accuracy; more pixels do not necessarily recover accurate detail
   • It converts every image into a vector
   • It verifies the source and rights of each object
7. When should an illustration be labeled as synthetic?
   • Only when it is low resolution
   • Never, because realistic images are documentary evidence
   • When the context requires preventing it from being mistaken for documentary evidence
   • Only if the AI tool is named in the file name
8. What should a team preserve to help reproduce or review a final generated asset?
   • Only the prompt, while deleting the delivered file
   • The model’s training dataset regardless of rights
   • A screenshot of the first preview only
   • The actual final asset and relevant generation settings