Free AWS-CERTIFIED-AI-PRACTITIONER-AIF-C01 Amazon AWS-CERTIFIED-AI-PRACTITIONER-AIF-C01 Practice Test Question - Page 8

Question 22 (Topic 1)

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.)

Select an option, then click Submit answer.

○ Generation of content embeddings
○ Generation of embeddings for user queries
○ Creation of the search index
○ Retrieval of relevant content
○ Response generation for the user

Question 23 (Topic 1)

A financial company is developing a fraud detection system that flags potential fraud cases in credit card transactions. Employees will evaluate the flagged fraud cases. The company wants to minimize the amount of time the employees spend reviewing flagged fraud cases that are not actually fraudulent. Which evaluation metric meets these requirements?

Select an option, then click Submit answer.

○ Recall
○ Accuracy
○ Precision
○ Lift chart

Reference / correct answer:

Precision

Most accepted answer: C. Precision

Community votes: C=3

Selected Answer: C C. The company wants to minimize the time spent on reviewing false positives (cases flagged as fraud that are not really fraud). A high precision means that most of the cases flagged by your system truly are fraud, so employees are less likely to waste time reviewing non-fraudulent cases. upvoted 5 times

Selected Answer: C Why not the others? A. Recall Measures how many actual fraud cases are detected. High recall may increase false positives. B. Accuracy Can be misleading in fraud detection because fraud cases are usually rare compared to legitimate transactions. D. Lift chart A visualization tool for evaluating model performance, not the primary metric for minimizing false-positive reviews. Therefore, a higher precision means fewer false positives, which translates directly into less time spent reviewing non-fraudulent transactions. upvoted 1 times

Selected Answer: C Precision is the most appropriate metric because it measures the proportion of correctly identified fraud cases among all cases flagged as fraud. In other words, it tells us how many of our fraud predictions were actually correct. Precision = True Positives / (True Positives + False Positives) upvoted 2 times

Question 24 (Topic 1)

Which statement presents an advantage of using Retrieval Augmented Generation (RAG) for natural language processing (NLP) tasks?

Select an option, then click Submit answer.

○ RAG can use external knowledge sources to generate more accurate and informative responses.
○ RAG is designed to improve the speed of language model training.
○ RAG is primarily used for speech recognition tasks.
○ RAG is a technique for data augmentation in computer vision tasks.

Free AWS-CERTIFIED-AI-PRACTITIONER-AIF-C01 – Amazon AWS-CERTIFIED-AI-PRACTITIONER-AIF-C01 Practice Test Question