AWS Dumps Logo

AIF-C01 Dumps

AIF-C01 Dumps

Demo Questions

Easy Pass your AWS AIF-C01 Exam with Practice Test Questions

AWSDumps offering latest Amazon AWS Certified AI Practitioner (AIF-C01) Practice test. Dumps PDF Questions 100% verified by IT Experts. Simple Download in PDF Format following Purchase

Total Questions: 401
Update Date: July 16, 2026

PDF + Test Engine $65
Test Engine $55
PDF $45

  • Last Update on July 16, 2026
  • 100% Passing Guarantee of AIF-C01 Exam

  • 90 Days Free Updates of AIF-C01 Exam
  • Full Money Back Guarantee on AIF-C01 Exam

Amazon AWS AIF-C01 Sample Questions

Question 1

A bank is fine-tuning a large language model (LLM) on Amazon Bedrock to assist customers with questions 
about their loans. The bank wants to ensure that the model does not reveal any private customer data.
Which solution meets these requirements?

A. Use Amazon Bedrock Guardrails.
B. Remove personally identifiable information (PII) from the customer data before fine-tuning the LLM.
C. Increase the Top-K parameter of the LLM.
D. Store customer data in Amazon S3. Encrypt the data before fine-tuning the LLM.

Answer: B

Question 2

Sentiment analysis is a subset of which broader field of AI?

A. Computer vision
B. Robotics
C. Natural language processing (NLP)
D. Time series forecasting

Answer: C

Question 3

Which prompting technique can protect against prompt injection attacks?

A. Adversarial prompting
B. Zero-shot prompting
C. Least-to-most prompting
D. Chain-of-thought prompting

Answer: A

Question 4

A digital devices company wants to predict customer demand for memory hardware. The company does not 
have coding experience or knowledge of ML algorithms and needs to develop a data-driven predictive model. 
The company needs to perform analysis on internal data and external data.
Which solution will meet these requirements?

A. Store the data in Amazon S3. Create ML models and demand forecast predictions by using Amazon SageMaker built-in algorithms that use the data from Amazon S3.
B. Import the data into Amazon SageMaker Data Wrangler. Create ML models and demand forecast predictions by using SageMaker built-in algorithms.
C. Import the data into Amazon SageMaker Data Wrangler. Build ML models and demand forecast predictions by using an Amazon Personalize Trending-Now recipe.

Answer: D

Question 5

A company that streams media is selecting an Amazon Nova foundation model (FM) to process documents 
and images. The company is comparing Nova Micro and Nova Lite. The company wants to minimize costs.

A. Nova Micro uses transformer-based architectures. Nova Lite does not use transformer-based architectures.
B. Nova Micro supports only text data. Nova Lite is optimized for numerical data.
C. Nova Micro supports only text. Nova Lite supports images, videos, and text.
D. Nova Micro runs only on CPUs. Nova Lite runs only on GPUs.

Answer: C

Question 6

A company is building an AI application to summarize books of varying lengths. During testing, the 
application fails to summarize some books. Why does the application fail to summarize some books?

A. The temperature is set too high.
B. The selected model does not support fine-tuning.
C. The Top P value is too high.
D. The input tokens exceed the model's context size.

Answer: D

Question 7

A company wants to identify harmful language in the comments section of social media posts by using an ML 
model. The company will not use labeled data to train the model. Which strategy should the company use to 
identify harmful language?

A. Use Amazon Rekognition moderation.
B. Use Amazon Comprehend toxicity detection.
C. Use Amazon SageMaker AI built-in algorithms to train the model.
D. Use Amazon Polly to monitor comments.

Answer: B

Question 8

A social media company wants to use a large language model (LLM) for content moderation. The company 
wants to evaluate the LLM outputs for bias and potential discrimination against specific groups or individuals.
Which data source should the company use to evaluate the LLM outputs with the LEAST administrative 
effort?

A. User-generated content
B. Moderation logs
C. Content moderation guidelines
D. Benchmark datasets

Answer: D

Question 9

A company that uses multiple ML models wants to identify changes in original model quality so that the 
company can resolve any issues.
Which AWS service or feature meets these requirements?

A. Amazon SageMaker JumpStart
B. Amazon SageMaker HyperPod
C. Amazon SageMaker Data Wrangler
D. Amazon SageMaker Model Monitor

Answer: D

Question 10

A company wants to use a pre-trained generative AI model to generate content for its marketing campaigns. 
The company needs to ensure that the generated content aligns with the company's brand voice and messaging 
requirements.
Which solution meets these requirements?

A. Optimize the model's architecture and hyperparameters to improve the model's overall performance.
B. Increase the model's complexity by adding more layers to the model's architecture.
C. Create effective prompts that provide clear instructions and context to guide the model's generation.
D. Select a large, diverse dataset to pre-train a new generative model.

Answer: C

Reviews From Our Customers

Leave Your Feedback

Please enter your name
Say something!