AIF EXAM 2026 WITH VERIFIED QUESTIONS
AND ANSWERS
A company is developing an ML model to predict customer churn. The model
performs well on the training dataset but does not accurately predict churn for
new data.
Which solution will resolve this issue?
A. Decrease the regularization parameter to increase model complexity.
B. Increase the regularization parameter to decrease model complexity.
C. Add more features to the input data.
D. Train the model for more epochs. - ANSWER-B. Increase the regularization
parameter to decrease model complexity.
A company is implementing intelligent agents to provide conversational search
experiences for its customers. The company needs a database service that will
support storage and queries of embeddings from a generative AI model as
vectors in the database.
Which AWS service will meet these requirements?
A. Amazon Athena
B. Amazon Aurora PostgreSQL
C. Amazon Redshift
D. Amazon EMR - ANSWER-B. Amazon Aurora PostgreSQL
A financial institution is building an AI solution to make loan approval
decisions by using a foundation model (FM). For security and audit purposes,
the company needs the AI solution's decisions to be explainable.
Which factor relates to the explainability of the AI solution's decisions?
A. Model complexity
B. Training time
,C. Number of hyperparameters
D. Deployment time - ANSWER-A. Model complexity
A pharmaceutical company wants to analyze user reviews of new medications
and provide a concise overview for each medication.
Which solution meets these requirements?
A. Create a time-series forecasting model to analyze the medication reviews by
using Amazon
Personalize.
B. Create medication review summaries by using Amazon Bedrock large
language models
(LLMs).
C. Create a classification model that categorizes medications into different
groups by using
Amazon SageMaker.
D. Create medication review summaries by using Amazon Rekognition. -
ANSWER-B. Create medication review summaries by using Amazon Bedrock
large language models (LLMs)
A company wants to build a lead prioritization application for its employees to
contact potential customers. The application must give employees the ability to
view and adjust the weights assigned to different variables in the model based
on domain knowledge and expertise.
Which ML model type meets these requirements?
A. Logistic regression model
B. Deep learning model built on principal components
C. K-nearest neighbors (k-NN) model
D. Neural network - ANSWER-A. Logistic regression model
HOTSPOT - A company wants to build an ML application. Select and order the
correct steps from the following list to develop a well-architected ML workload.
,Each step should be selected one time. - ANSWER-Define business goal and
frame ML problem -> Develop Model -> Deploy Model -> Monitor Model
Which strategy will determine if a foundation model (FM) effectively meets
business objectives?
A. Evaluate the model's performance on benchmark datasets.
B. Analyze the model's architecture and hyperparameters.
C. Assess the model's alignment with specific use cases.
D. Measure the computational resources required for model deployment. -
ANSWER-C. Assess the model's alignment with specific use cases.
A company manually reviews all submitted resumes in PDF format. As the
company grows, the
company expects the volume of resumes to exceed the company's review
capacity. The
company needs an automated system to convert the PDF resumes into plain text
format for
additional processing.
Which AWS service meets this requirement?
A. Amazon Textract
B. Amazon Personalize
C. Amazon Lex
D. Amazon Transcribe - ANSWER-A. Amazon Textract
An education provider is building a question and answer application that uses a
generative AI
model to explain complex concepts. The education provider wants to
automatically change the
style of the model response depending on who is asking the question. The
education provider
, will give the model the age range of the user who has asked the question.
Which solution meets these requirements with the LEAST implementation
effort?
A. Fine-tune the model by using additional training data that is representative of
the various age
ranges that the application will support.
B. Add a role description to the prompt context that instructs the model of the
age range that
the response should target.
C. Use chain-of-thought reasoning to deduce the correct style and complexity
for a response
suitable for that user.
D. Summarize the response text depending on the age of the user so that
younger users receive
shorter responses. - ANSWER-B. Add a role description to the prompt context
that instructs the model of the age range that the response should target.
Which strategy evaluates the accuracy of a foundation model (FM) that is used
in image
classification tasks?
A. Calculate the total cost of resources used by the model.
B. Measure the model's accuracy against a predefined benchmark dataset.
C. Count the number of layers in the neural network.
D. Assess the color accuracy of images processed by the model. - ANSWER-B.
Measure the model's accuracy against a predefined benchmark dataset.
An accounting firm wants to implement a large language model (LLM) to
automate document
processing. The firm must proceed responsibly to avoid potential harms.
What should the firm do when developing and deploying the LLM? (Choose
two.)
AND ANSWERS
A company is developing an ML model to predict customer churn. The model
performs well on the training dataset but does not accurately predict churn for
new data.
Which solution will resolve this issue?
A. Decrease the regularization parameter to increase model complexity.
B. Increase the regularization parameter to decrease model complexity.
C. Add more features to the input data.
D. Train the model for more epochs. - ANSWER-B. Increase the regularization
parameter to decrease model complexity.
A company is implementing intelligent agents to provide conversational search
experiences for its customers. The company needs a database service that will
support storage and queries of embeddings from a generative AI model as
vectors in the database.
Which AWS service will meet these requirements?
A. Amazon Athena
B. Amazon Aurora PostgreSQL
C. Amazon Redshift
D. Amazon EMR - ANSWER-B. Amazon Aurora PostgreSQL
A financial institution is building an AI solution to make loan approval
decisions by using a foundation model (FM). For security and audit purposes,
the company needs the AI solution's decisions to be explainable.
Which factor relates to the explainability of the AI solution's decisions?
A. Model complexity
B. Training time
,C. Number of hyperparameters
D. Deployment time - ANSWER-A. Model complexity
A pharmaceutical company wants to analyze user reviews of new medications
and provide a concise overview for each medication.
Which solution meets these requirements?
A. Create a time-series forecasting model to analyze the medication reviews by
using Amazon
Personalize.
B. Create medication review summaries by using Amazon Bedrock large
language models
(LLMs).
C. Create a classification model that categorizes medications into different
groups by using
Amazon SageMaker.
D. Create medication review summaries by using Amazon Rekognition. -
ANSWER-B. Create medication review summaries by using Amazon Bedrock
large language models (LLMs)
A company wants to build a lead prioritization application for its employees to
contact potential customers. The application must give employees the ability to
view and adjust the weights assigned to different variables in the model based
on domain knowledge and expertise.
Which ML model type meets these requirements?
A. Logistic regression model
B. Deep learning model built on principal components
C. K-nearest neighbors (k-NN) model
D. Neural network - ANSWER-A. Logistic regression model
HOTSPOT - A company wants to build an ML application. Select and order the
correct steps from the following list to develop a well-architected ML workload.
,Each step should be selected one time. - ANSWER-Define business goal and
frame ML problem -> Develop Model -> Deploy Model -> Monitor Model
Which strategy will determine if a foundation model (FM) effectively meets
business objectives?
A. Evaluate the model's performance on benchmark datasets.
B. Analyze the model's architecture and hyperparameters.
C. Assess the model's alignment with specific use cases.
D. Measure the computational resources required for model deployment. -
ANSWER-C. Assess the model's alignment with specific use cases.
A company manually reviews all submitted resumes in PDF format. As the
company grows, the
company expects the volume of resumes to exceed the company's review
capacity. The
company needs an automated system to convert the PDF resumes into plain text
format for
additional processing.
Which AWS service meets this requirement?
A. Amazon Textract
B. Amazon Personalize
C. Amazon Lex
D. Amazon Transcribe - ANSWER-A. Amazon Textract
An education provider is building a question and answer application that uses a
generative AI
model to explain complex concepts. The education provider wants to
automatically change the
style of the model response depending on who is asking the question. The
education provider
, will give the model the age range of the user who has asked the question.
Which solution meets these requirements with the LEAST implementation
effort?
A. Fine-tune the model by using additional training data that is representative of
the various age
ranges that the application will support.
B. Add a role description to the prompt context that instructs the model of the
age range that
the response should target.
C. Use chain-of-thought reasoning to deduce the correct style and complexity
for a response
suitable for that user.
D. Summarize the response text depending on the age of the user so that
younger users receive
shorter responses. - ANSWER-B. Add a role description to the prompt context
that instructs the model of the age range that the response should target.
Which strategy evaluates the accuracy of a foundation model (FM) that is used
in image
classification tasks?
A. Calculate the total cost of resources used by the model.
B. Measure the model's accuracy against a predefined benchmark dataset.
C. Count the number of layers in the neural network.
D. Assess the color accuracy of images processed by the model. - ANSWER-B.
Measure the model's accuracy against a predefined benchmark dataset.
An accounting firm wants to implement a large language model (LLM) to
automate document
processing. The firm must proceed responsibly to avoid potential harms.
What should the firm do when developing and deploying the LLM? (Choose
two.)
