Amazon AWS Certified AI Practitioner AIF-C01 Exam
Amazon AWS Certified AI Practitioner AIF-C01 Exam
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Free Amazon AWS Certified AI Practitioner AIF-C01 Exam Questions
Domain: Fundamentals of Gen AI
You are an AI engineer, and you have started using Generative AI in summarization of CloudWatch log data for the teams. Which of the following is not a benefit
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Accelerate incident triage by providing a concise overview of recent log events
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Enable proactive identification of potential issues or anomalies
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Automatically resolve potential issues without human oversight
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Facilitate better collaboration and communication among teams
Explanation
Correct Answer C. Automatically resolve potential issues without human oversight
Explanation:
C. Automatically resolve potential issues without human oversight
While generative AI can summarize logs and assist in identifying patterns or anomalies, it does not autonomously resolve issues. Automated issue resolution typically requires orchestrated workflows, rule-based automation, or human approval. Generative AI supports decision-making but still relies on humans or integrated systems to act on insights. Therefore, this option is not a direct benefit of using generative AI in log summarization.
Domain: Applications of Foundation Models
You're working with a Transformer-based generative Al model on AWS and want to understand its core mechanism for understanding context and relationships within text. What is the primary purpose of self-attention in a Transformer model
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To reduce computational complexity by limiting the number of connections between tokens
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To allow the model to focus on specific parts of the input sequence based on their relevance
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To generate the final output sequence based on the weighted average of input vectors
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To initialize the model's parameters randomly at the start of training
Explanation
Correct Answer B. To allow the model to focus on specific parts of the input sequence based on their relevance
Explanation:
To allow the model to focus on specific parts of the input sequence based on their relevance":
This is the correct answer because self-attention is the fundamental mechanism that allows Transformer models to weigh the importance of different tokens in a sequence when processing each token. For example, in the sentence “The cat sat on the mat,” self-attention helps the model understand that “cat” is closely related to “sat” when analyzing meaning. This dynamic attention mechanism enables the model to capture dependencies and relationships regardless of position in the sequence.
Domain: Fundamentals of Gen Al
You are advising a company that is considering adopting generative Al for their business. Which of the following is a key security benefit of using AWS infrastructure for generative Al applications
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AWS allows unrestricted access to data and models to promote open innovation
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AWS provides built-in safeguards and controls to help protect your data and models
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AWS assumes full responsibility for the security of your generative Al applications
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AWS automatically eliminates all potential biases from your models and data
Explanation
Correct Answer B. AWS provides built-in safeguards and controls to help protect your data and models
Explanation:
AWS provides built-in safeguards and controls to help protect your data and models"
This is the correct answer because AWS follows a shared responsibility model where it secures the cloud infrastructure while providing robust tools and services such as encryption, access control, and monitoring to help customers secure their applications, including those using generative AI. These built-in features are crucial for compliance, confidentiality, and integrity of data and models in production environments.
A security company is using Amazon Bedrock to run foundation models (FMs). The company wants to ensure that only authorized users invoke the models. The company needs to identify any unauthorized access attempts to set appropriate AWS Identity and Access Management (IAM) policies and roles for future iterations of the FMs.Which AWS service should the company use to identify unauthorized users that are trying to access Amazon Bedrock?
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AWS Audit Manager
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AWS CloudTrail
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Amazon Fraud Detector
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AWS Trusted Advisor
Explanation
The Correct Answer is: B. AWS CloudTrail because AWS CloudTrail logs all API activity across AWS services, including invocations of Amazon Bedrock models. It allows the security company to track who accessed the models, detect unauthorized access attempts, and analyze patterns to refine IAM roles and policies. This makes it the most suitable service for monitoring and auditing access to ensure only authorized users invoke the models.
Domain: Applications of Foundation Models
You are exploring the potential applications of Foundation Models (FMs) like Stable Diffusion in various domains. What is the primary purpose of forward diffusion in a diffusion model
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To generate a clear image from a noisy image
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To add Gaussian noise to the input image over a series of steps
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To train a model to predict noise in an image
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To control the quality and diversity of images generated
Explanation
Correct Answer B. To add Gaussian noise to the input image over a series of steps
Explanation:
B. To add Gaussian noise to the input image over a series of steps
In diffusion models like Stable Diffusion, the forward diffusion process is the first stage in which Gaussian noise is gradually added to a data sample (such as an image) over many steps until it becomes pure noise. This process simulates the corruption of data and is essential for training the model to learn the reverse process, which reconstructs the original image from noise. The reverse process is what enables the generation of new, high-quality samples from random noise during inference.
Domain: Applications of Foundation Models
As an AI Engineer, you have decided to use AWS Bedrock to power generative AI-powered recommendations. Which AWS service would you recommend enabling conversational interactions with these recommendations
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Amazon Lex
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Amazon Polly
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Amazon Connect
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Amazon Transcribe
Explanation
Correct Answer A. Amazon Lex
Explanation:
Amazon Lex is the AWS service used to build conversational interfaces using voice and text. It enables chatbots to understand natural language, manage dialogue, and respond conversationally to user input. When combined with generative AI outputs from Amazon Bedrock, Lex can deliver interactive, intelligent conversations—perfect for recommendation systems that respond to user preferences or queries in real time. It integrates easily with other AWS services and supports multi-turn conversations, making it the best fit for conversational AI experiences.
Domain: Guidelines for Responsible AI
Case Study:
You're deploying a text summarization solution on AWS Bedrock, leveraging a foundation model (FM). You're concerned about the potential for prompt leaking, Prompt Injection, and Jailbreaking attacks.
Which TWO techniques can help mitigate the risk of prompt leaking attacks on AWS Bedrock
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Input sanitization and validation
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Implementing rate limiting on API requests
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Encrypting all prompts sent to the FM
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Using a less powerful FM
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Output sanitization and filtering
Explanation
Correct Answers:
A. Input sanitization and validation
E. Output sanitization and filtering
Explanation of Each Correct Option:
A. Input sanitization and validation
Input sanitization ensures that user-submitted text does not contain malicious patterns aimed at triggering the model to reveal hidden system prompts or instructions. Validating and cleaning input helps prevent prompt injection attempts that try to coerce the model into leaking internal context.
E. Output sanitization and filtering
After the model generates a response, applying output sanitization helps catch and suppress any potentially leaked prompt data. This acts as a final layer of defense to ensure that unintended prompt content is not exposed to the end user.
Domain: Fundamentals of AI and ML
An AI engineer is working with customer data stored in Amazon Redshift. The engineer needs to segment customers into groups based on their spending patterns. Which AWS service or technique would be the MOST appropriate for this task
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Amazon Forecast
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Amazon Comprehend
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Amazon SageMaker K-Means clustering
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Amazon Rekognition
Explanation
Correct Answer C. Amazon SageMaker K-Means clustering
Explanation:
C. Amazon SageMaker K-Means clustering
K-Means clustering is an unsupervised machine learning algorithm used to segment data into distinct groups based on similarities. In this case, it is ideal for analyzing customer spending patterns and grouping customers with similar behaviors. Amazon SageMaker provides a built-in K-Means algorithm that can be easily trained and deployed for clustering tasks, and it can integrate with data sources like Amazon Redshift. This makes it the most suitable choice for customer segmentation based on spending data.
A company is building an ML model to analyze archived data. The company must perform inference on large datasets that are multiple GBs in size. The company does not need to access the model predictions immediately.Which Amazon SageMaker inference option will meet these requirements?
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Batch transform
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Real-time inference
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Serverless inference
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Asynchronous inference
Explanation
The Correct Answer is: A. Batch transform because Batch transform is ideal for performing inference on large datasets when real-time responses are not needed. It processes input data in bulk and is optimized for offline predictions, making it the best fit for analyzing archived data that spans several gigabytes.
A company wants to use generative AI to increase developer productivity and software development. The company wants to use Amazon Q Developer.What can Amazon Q Developer do to help the company meet these requirements?
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Create software snippets, reference tracking, and open source license tracking.
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Run an application without provisioning or managing servers.
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Enable voice commands for coding and providing natural language search.
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Convert audio files to text documents by using ML models.
Explanation
The correct Answer is: A. Create software snippets, reference tracking, and open source license tracking. because Amazon Q Developer is a generative AI-powered assistant that helps developers by generating code snippets, tracking references in documentation, and managing open source license usage. This directly boosts productivity and streamlines software development tasks, aligning with the company's goals.
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Amazon AWS Certified AI Practitioner AIF-C01 Exam
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