exam questions

Exam AWS Certified AI Practitioner AIF-C01 All Questions

View all questions & answers for the AWS Certified AI Practitioner AIF-C01 exam

Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 167 discussion

A publishing company built a Retrieval Augmented Generation (RAG) based solution to give its users the ability to interact with published content. New content is published daily. The company wants to provide a near real-time experience to users.

Which steps in the RAG pipeline should the company implement by using offline batch processing to meet these requirements? (Choose two.)

  • A. Generation of content embeddings
  • B. Generation of embeddings for user queries
  • C. Creation of the search index
  • D. Retrieval of relevant content
  • E. Response generation for the user
Show Suggested Answer Hide Answer
Suggested Answer: A 🗳️

Comments

Chosen Answer:
This is a voting comment (?). It is better to Upvote an existing comment if you don't have anything to add.
Switch to a voting comment New
Rcosmos
5 days, 2 hours ago
Selected Answer: U
✅ Etapas que devem ser feitas offline (em lote): A. Geração de incorporações de conteúdo Isso é feito quando novos conteúdos são adicionados. Como os documentos não mudam frequentemente depois de publicados, essa etapa pode ser feita em lote. C. Criação do índice de pesquisa Após gerar as incorporações dos documentos, é necessário indexá-los para permitir busca eficiente. Isso também pode ser feito em lote, e atualizado conforme novos conteúdos são publicados.
upvoted 1 times
...
026dda3
1 week, 1 day ago
Selected Answer: A
A C * A. Generation of content embeddings: Creating embeddings for all the published content is a computationally intensive process that doesn't need to happen in real-time as users interact with the system. * C. Creation of the search index: The search index, typically a vector database in a RAG system, needs to be built and updated to store the content embeddings.
upvoted 1 times
...
TeeMal
1 week, 2 days ago
Selected Answer: A
Correct: Content Embedding (A) – Transform published documents into embeddings using a model (e.g., via Amazon Titan or OpenSearch ML). This can be done offline in batches, especially for static or periodically updated content like daily publications. Search Index Creation (C) – After generating embeddings, these need to be indexed (e.g., using Amazon OpenSearch or FAISS). This step can also be handled offline, as it's only needed when content updates. Wrong: B, D, and E require real-time processing for a near-real-time experience.
upvoted 2 times
...
Community vote distribution
A (35%)
C (25%)
B (20%)
Other
Most Voted
A voting comment increases the vote count for the chosen answer by one.

Upvoting a comment with a selected answer will also increase the vote count towards that answer by one. So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.

SaveCancel
Loading ...