Card, Apple Pay, Google Pay or PayPal. Download links are on your order page and in your email the moment you pay.
99% pass rate. Pass or your money back.Fail the exam after using this pack and we refund it, or swap it for any other pack. How the guarantee works
Passed. The questions in this dump are very close to what I saw on exam day. If you are sitting this one just get it. The exam is not cheap and this is.
A company makes forecasts each quarter to decide how to optimize operations to meet expected demand. The company uses ML models to make these forecasts.
An AI practitioner is writing a report about the trained ML models to provide transparency and explainability to company stakeholders.
What should the AI practitioner include in the report to meet the transparency and explainability requirements?
Code for model training
Partial dependence plots (PDPs)
Sample data for training
Model convergence tables
Show answer and explanation
Correct answer: B. Partial dependence plots (PDPs)
Partial dependence plots (PDPs) are a key explainability tool that show how predicted values change as a feature varies, holding other features constant. This directly demonstrates the relationship between input features and model predictions, providing transparency to stakeholders about how the model makes forecasting decisions. PDPs help non-technical audiences understand model behavior without requiring knowledge of implementation details.
Why the other options are wrong
A. Model training code is implementation detail, not explanation of model behavior to stakeholders.
C. Sample training data does not explain how the model makes predictions or what it learned.
D. Convergence tables show training progress metrics but do not explain model explainability or feature relationships.
Question 2
A law firm wants to build an AI application by using large language models (LLMs). The application will read legal documents and extract key points from the documents.
Which solution meets these requirements?
Build an automatic named entity recognition system.
Create a recommendation engine.
Develop a summarization chatbot.
Develop a multi-language translation system.
Show answer and explanation
Correct answer: C. Develop a summarization chatbot.
A summarization chatbot using LLMs is the appropriate solution for extracting key points from legal documents. LLMs excel at understanding document content and generating concise summaries of important information. This approach leverages the natural language understanding capabilities of LLMs to identify and extract relevant key points from complex legal texts.
Why the other options are wrong
A. Named entity recognition focuses on identifying specific entity types (names, organizations) rather than extracting broader key points from documents.
B. A recommendation engine suggests items to users based on preferences, not extracting information from documents.
D. Translation systems convert text between languages but do not extract or summarize key points.
Question 3
A company wants to classify human genes into 20 categories based on gene characteristics. The company needs an ML algorithm to document how the inner mechanism of the model affects the output.
Which ML algorithm meets these requirements?
Decision trees
Linear regression
Logistic regression
Neural networks
Show answer and explanation
Correct answer: A. Decision trees
Decision trees are highly interpretable models that naturally document their decision-making mechanism through visual tree structures. Each node represents a feature threshold, each branch represents a decision path, and leaves represent classification outputs. This transparent structure allows stakeholders to understand exactly how the model arrives at its classification for the 20 gene categories, making it ideal for applications requiring explainability.
Why the other options are wrong
B. Linear regression is for regression tasks, not classification, and while interpretable, it doesn't naturally handle 20 categorical outputs as effectively.
C. Logistic regression is less transparent than decision trees and typically used for binary classification rather than 20-category classification.
D. Neural networks are black-box models that do not naturally document inner mechanisms without additional explainability techniques.
Passed. The questions in this dump are very close to what I saw on exam day. If you are sitting this one just get it. The exam is not cheap and this is.
Rated 5 out of 5
Mara Choi –
Does the job. Passed first attempt.
Rated 5 out of 5
Rachael Fisher –
I was struggling with some of the trickier AI concepts. Certstash's detailed explanations really cleared things up for me, where the official docs didn't.
Rated 5 out of 5
Matthew Goldstein –
Got my certification today. The material was clear, concise, and exactly what I needed to get over the finish line for the AIF-C01. The format was just like the real exam, and so was the difficulty level. Cheers!
Rated 5 out of 5
Danna –
Their study materials and practice questions provided great insights and helped me focus on key areas. A valuable resource for anyone tackling this exam!
Rated 5 out of 5
A Dang –
Passed!
Only logged in customers who have purchased this product may leave a review.
How much of the AWS AIF-C01 bank is free?
571 questions in the bank
Each step includes the one before, so buying only adds new questions.
You are here10questionsFree sampleThree on this page, all ten as a PDF.Download the sample
14325% of the bankPractice pageFree on the site, every answer explained.Go to the practice page
285the first half of the packHalf PackFree by email, as one PDF, every answer explained.Get the Half Pack
571100%, the whole bankFull pack, US$39Plus the questions-only PDF, monthly updates, refund if you fail.Get the full pack
ABOUT THIS PACK
What’s in the AWS AIF-C01 pack
571 questions across all five AIF-C01 domains
Answers and explanations for every question, including the wrong options
A questions-only PDF for timed practice runs
Instant delivery by email the moment you check out
Free monthly updates for as long as the exam is live
Pass or your money back
A failed AIF-C01 attempt costs another US$100, plus the time it takes to restudy. This pack is US$39, paid once, and refunded if you fail.
What makes the AIF-C01 hard
AIF-C01 is AWS's foundational AI certification. It is not a hands-on engineering exam. It asks whether you understand AI, can identify the right AWS service for the job, and know how to use it responsibly, which is why business analysts and project managers sit it alongside engineers.
65 questions in 90 minutes, 700 out of 1000 to pass. This pack has 571 practice questions covering AI and ML fundamentals, generative AI concepts, Amazon Bedrock and foundation models, responsible AI practices, and governance, so you see exactly how AWS frames these topics before exam day.
About the exam
AIF-C01 is Amazon's foundational AI certification for anyone who works with or around AI on AWS. The target candidate has up to six months of exposure to AI and ML technologies on AWS. It is not aimed only at engineers: business analysts, project managers and IT professionals all sit it. Valid for three years.
Straight away. The full PDF and a questions-only copy are emailed to you the moment your payment goes through, and the same links are on your order page.
Are updates included?
Yes. The pack is updated every month for as long as the exam is live, and updates are free for everyone who has bought it.
What if I fail the exam?
We refund the pack, or swap it for any other pack if you would rather keep studying. Sit the exam 7 to 30 days after buying, then send your official score report within 7 days of the exam date, as set out in the refund policy.
What is your pass rate?
99% of customers who prepare with a CertStash pack pass. If you do not, we refund the pack, or swap it for another pack.
Can I share it with colleagues?
Each purchase is licensed to one person. For a team, school or training organisation, email support@certstash.com for a licence that fits.
HUNTER ROMANO –
Passed. The questions in this dump are very close to what I saw on exam day. If you are sitting this one just get it. The exam is not cheap and this is.
Mara Choi –
Does the job. Passed first attempt.
Rachael Fisher –
I was struggling with some of the trickier AI concepts. Certstash's detailed explanations really cleared things up for me, where the official docs didn't.
Matthew Goldstein –
Got my certification today. The material was clear, concise, and exactly what I needed to get over the finish line for the AIF-C01. The format was just like the real exam, and so was the difficulty level. Cheers!
Danna –
Their study materials and practice questions provided great insights and helped me focus on key areas. A valuable resource for anyone tackling this exam!
A Dang –
Passed!