Amazon
Avaya
Checkpoint
Cisco®
CompTIA
CrowdStrike
EC-Council
EXIN
Fortinet
Google
ISC
ISC2
ITIL®
Juniper
Microsoft
MuleSoft
Okta
Oracle
Palo Alto Networks
Salesforce
All Vendors
  1. Home
  2. Amazon
  3. AIF-C01

Amazon AIF-C01 Exam (page: 1)
Amazon AWS Certified AI Practitioner
Updated on: 07-Nov-2025

Viewing Page 1 of 31
AIF-C01 PDF 318 Questions

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?

  1. Code for model training
  2. Partial dependence plots (PDPs)
  3. Sample data for training
  4. Model convergence tables

Answer(s): B

Explanation:

Partial Dependence Plots (PDPs) are a powerful tool for understanding and explaining how the features in a machine learning model impact predictions. They are often used to meet transparency and explainability requirements for stakeholders. Let's go over why this is the correct choice, along with why the other options are less suitable:
Partial Dependence Plots (PDPs)
Purpose: PDPs show the relationship between a feature (or multiple features) and the model's predicted output, which helps to explain the effect of each feature on the model’s predictions.
Explainability: By visualizing how each feature influences the prediction, stakeholders can better understand how the model works and why it makes certain predictions. This level of interpretability is essential for gaining trust from non-technical stakeholders.
Transparency: PDPs improve transparency by providing an intuitive way to analyze and present the effects of individual features.



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?

  1. Build an automatic named entity recognition system.
  2. Create a recommendation engine.
  3. Develop a summarization chatbot.
  4. Develop a multi-language translation system.

Answer(s): C

Explanation:

A summarization chatbot can effectively read legal documents and generate concise versions that highlight key points. This directly addresses the requirement of extracting essential information, unlike the other options, which focus on different tasks.



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?

  1. Decision trees
  2. Linear regression
  3. Logistic regression
  4. Neural networks

Answer(s): A

Explanation:

Decision trees provide clear transparency into how the model makes decisions, allowing easy documentation of how the inner mechanism influences the output. The other options do not offer this level of interpretability.



A company has built an image classification model to predict plant diseases from photos of plant leaves. The company wants to evaluate how many images the model classified correctly.
Which evaluation metric should the company use to measure the model's performance?

  1. R-squared score
  2. Accuracy
  3. Root mean squared error (RMSE)
  4. Learning rate

Answer(s): B

Explanation:

Accuracy measures how many images were correctly classified out of the total images, making it the appropriate metric for evaluating the performance of an image classification model. The other metrics are either not suitable for classification tasks or not used for performance evaluation.



A company is using a pre-trained large language model (LLM) to build a chatbot for product recommendations. The company needs the LLM outputs to be short and written in a specific language.
Which solution will align the LLM response quality with the company's expectations?

  1. Adjust the prompt.
  2. Choose an LLM of a different size.
  3. Increase the temperature.
  4. Increase the Top K value.

Answer(s): A

Explanation:

Adjusting the prompt allows you to specify the desired length and language of the LLM's responses, making it suitable for tailoring the output to meet the company's needs. The other options do not directly control response length or language.



A company uses Amazon SageMaker for its ML pipeline in a production environment. The company has large input data sizes up to 1 GB and processing times up to 1 hour. The company needs near real-time latency.
Which SageMaker inference option meets these requirements?

  1. Real-time inference
  2. Serverless inference
  3. Asynchronous inference
  4. Batch transform

Answer(s): C

Explanation:

Asynchronous inference is suitable for handling large input data and long processing times while still providing responses without blocking other requests. It allows for near real-time latency, whereas the other options are less suitable given the input size and processing time constraints.



A company is using domain-specific models. The company wants to avoid creating new models from the beginning. The company instead wants to adapt pre-trained models to create models for new, related tasks.
Which ML strategy meets these requirements?

  1. Increase the number of epochs.
  2. Use transfer learning.
  3. Decrease the number of epochs.
  4. Use unsupervised learning.

Answer(s): B

Explanation:

Transfer learning allows the company to adapt pre-trained models for new, related tasks, saving time and resources compared to training models from scratch. The other options do not address the goal of reusing existing models.



A company is building a solution to generate images for protective eyewear. The solution must have high accuracy and must minimize the risk of incorrect annotations.
Which solution will meet these requirements?

  1. Human-in-the-loop validation by using Amazon SageMaker Ground Truth Plus
  2. Data augmentation by using an Amazon Bedrock knowledge base
  3. Image recognition by using Amazon Rekognition
  4. Data summarization by using Amazon QuickSight Q

Answer(s): A

Explanation:

Human-in-the-loop validation ensures high accuracy by involving human reviewers to verify and correct annotations, minimizing the risk of errors in the generated images. The other options are not directly relevant for ensuring annotation accuracy in image generation.



Viewing Page 1 of 31



Share your comments for Amazon AIF-C01 exam with other users:

Unknown 8/15/2023 5:09:00 AM

good for students who wish to give certification.
INDIA


Ch 11/20/2023 10:56:00 PM

is there a google drive link to the images? the links in questions are not working.
AUSTRALIA


Joey 5/16/2023 5:25:00 AM

very promising, looks great, so much wow!
Anonymous


alaska 10/24/2023 5:48:00 AM

i scored 87% on the az-204 exam. thanks! i always trust
GERMANY


nnn 7/9/2023 11:09:00 PM

good need more
Anonymous


User-sfdc 12/29/2023 7:21:00 AM

sample questions seems good
Anonymous


Tamer dam 8/4/2023 10:21:00 AM

huawei is ok
UNITED STATES


YK 12/11/2023 1:10:00 AM

good one nice
JAPAN


de 8/28/2023 2:38:00 AM

please continue
GERMANY


DMZ 6/25/2023 11:56:00 PM

this exam dumps just did the job. i donot want to ruffle your feathers but your exam dumps and mock test engine is amazing.
UNITED KINGDOM


Jose 8/30/2023 6:14:00 AM

nice questions
PORTUGAL


Tar01 7/24/2023 7:07:00 PM

the explanation are really helpful
Anonymous


DaveG 12/15/2023 4:50:00 PM

just passed my exam yesterday on my first attempt. these dumps were extremely helpful in passing first time. the questions were very, very similar to these questions!
Anonymous


A.K. 6/30/2023 6:34:00 AM

cosmos db is paas not saas
Anonymous


S Roychowdhury 6/26/2023 5:27:00 PM

what is the percentage of common questions in gcp exam compared to 197 dump questions? are they 100% matching with real gcp exam?
Anonymous


Bella 7/22/2023 2:05:00 AM

not able to see questions
Anonymous


Scott 9/8/2023 7:19:00 AM

by far one of the best sites for free questions. i have pass 2 exams with the help of this website.
CANADA


donald 8/19/2023 11:05:00 AM

excellent question bank.
Anonymous


Ashwini 8/22/2023 5:13:00 AM

it really helped
Anonymous


sk 5/13/2023 2:07:00 AM

excelent material
INDIA


Christopher 9/5/2022 10:54:00 PM

the new versoin of this exam which i downloaded has all the latest questions from the exam. i only saw 3 new questions in the exam which was not in this dump.
CANADA


Sam 9/7/2023 6:51:00 AM

question 8 - can cloudtrail be used for storing jobs? based on aws - aws cloudtrail is used for governance, compliance and investigating api usage across all of our aws accounts. every action that is taken by a user or script is an api call so this is logged to [aws] cloudtrail. something seems incorrect here.
UNITED STATES


Tanvi Rajput 8/14/2023 10:55:00 AM

question 13 tda - c01 answer : quick table calculation -> percentage of total , compute using table down
UNITED KINGDOM


PMSAGAR 9/19/2023 2:48:00 AM

pls share teh dump
UNITED STATES


zazza 6/16/2023 10:47:00 AM

question 44 answer is user risk
ITALY


Prasana 6/23/2023 1:59:00 AM

please post the questions for preparation
Anonymous


test user 9/24/2023 3:15:00 AM

thanks for the questions
AUSTRALIA


Draco 7/19/2023 5:34:00 AM

please reopen it now ..its really urgent
UNITED STATES


Megan 4/14/2023 5:08:00 PM

these practice exam questions were exactly what i needed. the variety of questions and the realistic exam-like environment they created helped me assess my strengths and weaknesses. i felt more confident and well-prepared on exam day, and i owe it to this exam dumps!
UNITED KINGDOM


abdo casa 8/9/2023 6:10:00 PM

thank u it very instructuf
Anonymous


Danny 1/15/2024 9:10:00 AM

its helpful?
INDIA


hanaa 10/3/2023 6:57:00 PM

is this dump still valid???
Anonymous


Georgio 1/19/2024 8:15:00 AM

question 205 answer is b
Anonymous


Matthew Dievendorf 5/30/2023 9:37:00 PM

question 39, should be answer b, directions stated is being sudneted from /21 to a /23. a /23 has 512 ips so 510 hosts. and can make 4 subnets out of the /21
Anonymous