AWS Certified AI Practitioner : Domain 2 - Fundamentals of Generative AI
120 Practice questions with explanations for AWS AIF-C01 Certification Exam across all domains
Now that you have a solid understanding of the Domain 1: Fundamentals of AI and ML, let’s dive into Domain 2: Fundamentals of Generative AI. This domain is crucial, as it covers 24% of the exam content, focusing on your ability to grasp the principles behind generative AI — a transformative technology that’s reshaping industries.
In this section, we’ll test your core concepts of generative AI, including how these models are built and the ethical considerations that come with them. Understanding these fundamentals will not only help you in the exam but will also equip you with the knowledge to leverage generative AI effectively in real-world scenarios.
Below are series of practice questions tailored to Domain 2. Each question is designed to test your knowledge and ensure you’re well-prepared for this critical section of the exam.
Domain 2: Fundamentals of Generative AI.
1. What is a token in the context of generative AI?
A) A security feature
B) A unit of text processed by the model
C) A type of neural network
D) A model evaluation metric
Correct Answer: B
Explanation: In generative AI, a token is a unit of text processed by the model. This is mentioned in Task Statement 2.1 under foundational generative AI concepts.
2. Which of the following is NOT a typical use case for generative AI models?
A) Image generation
B) Summarization
C) Data encryption
D) Code generation
Correct Answer: C
Explanation: Data encryption is not a typical use case for generative AI models. The other options are mentioned in Task Statement 2.1 as potential use cases.
3. What is the primary advantage of generative AI’s adaptability?
A) It can only work with structured data
B) It can handle a wide range of tasks and domains
C) It always produces perfect results
D) It eliminates the need for human oversight
Correct Answer: B
Explanation: Adaptability in generative AI refers to its ability to handle a wide range of tasks and domains. This is mentioned in Task Statement 2.2 as one of the advantages of generative AI.
4. What is a hallucination in the context of generative AI?
A) A visual output produced by the model
B) A type of model architecture
C) An incorrect or fabricated output presented as fact
D) A method of model training
Correct Answer: C
Explanation: Hallucinations refer to incorrect or fabricated outputs presented as fact by generative AI models. This is listed as a disadvantage of generative AI solutions in Task Statement 2.2.
5. Which AWS service is designed specifically for developing generative AI applications?
A) Amazon EC2
B) Amazon S3
C) Amazon Bedrock
D) Amazon RDS
Correct Answer: C
Explanation: Amazon Bedrock is mentioned in Task Statement 2.3 as an AWS service for developing generative AI applications.
6. What is a foundation model in generative AI?
A) A model that can only generate text
B) A large, pre-trained model that can be adapted for various tasks
C) A model specifically designed for image generation
D) A model that requires no training data
Correct Answer: B
Explanation: A foundation model is a large, pre-trained model that can be adapted for various tasks. This concept is mentioned in Task Statement 2.1.
7. Which of the following is NOT a stage in the foundation model lifecycle?
A) Data selection
B) Pre-training
C) Deployment
D) Marketing
Correct Answer: D
Explanation: Marketing is not a stage in the foundation model lifecycle. The other options are mentioned in Task Statement 2.1 as part of the foundation model lifecycle.
8. What is the primary advantage of using AWS generative AI services for building applications?
A) They are always free
B) They provide a lower barrier to entry
C) They guarantee 100% accuracy
D) They eliminate the need for any coding
Correct Answer: B
Explanation: A lower barrier to entry is mentioned in Task Statement 2.3 as one of the advantages of using AWS generative AI services.
9. What is prompt engineering in the context of generative AI?
A) A method of hardware optimization
B) A technique for designing the physical structure of AI models
C) The process of crafting effective input prompts to guide model outputs
D) A way to reduce energy consumption in AI systems
Correct Answer: C
Explanation: Prompt engineering refers to the process of crafting effective input prompts to guide model outputs. This is mentioned in Task Statement 2.1 as a foundational generative AI concept.
10. Which of the following is a potential disadvantage of generative AI solutions?
A) Adaptability
B) Responsiveness
C) Inaccuracy
D) Simplicity
Correct Answer: C
Explanation: Inaccuracy is listed as a potential disadvantage of generative AI solutions in Task Statement 2.2.
11. What is a multi-modal model in generative AI?
A) A model that can only process text data
B) A model that can work with multiple types of data (e.g., text, images, audio)
C) A model that requires multiple GPUs to run
D) A model that can only generate images
Correct Answer: B
Explanation: A multi-modal model can work with multiple types of data. This is mentioned in Task Statement 2.1 under foundational generative AI concepts.
12. Which AWS service provides a playground for experimenting with generative AI models?
A) Amazon SageMaker
B) Amazon Comprehend
C) PartyRock
D) Amazon Polly
Correct Answer: C
Explanation: PartyRock, an Amazon Bedrock Playground, is mentioned in Task Statement 2.3 as a service for developing generative AI applications.
13. What is a key consideration when selecting an appropriate generative AI model for a business problem?
A) The model’s popularity on social media
B) The model’s performance requirements
C) The model’s development date
D) The model’s country of origin
Correct Answer: B
Explanation: Performance requirements are mentioned in Task Statement 2.2 as one of the factors to consider when selecting appropriate generative AI models.
14. Which of the following is NOT a typical business metric for evaluating generative AI applications?
A) Conversion rate
B) Average revenue per user
C) Customer lifetime value
D) Model parameter count
Correct Answer: D
Explanation: Model parameter count is not a business metric. The other options are mentioned in Task Statement 2.2 as business metrics for generative AI applications.
15. What is a key benefit of AWS infrastructure for generative AI applications?
A) It eliminates the need for any security measures
B) It provides unlimited free computing resources
C) It ensures compliance with relevant regulations
D) It guarantees that AI models will never make mistakes
Correct Answer: C
Explanation: Compliance is mentioned in Task Statement 2.3 as one of the benefits of AWS infrastructure for generative AI applications.
16. What is chunking in the context of generative AI?
A) A method of data compression
B) A technique for breaking down large inputs into smaller, manageable pieces
C) A type of model architecture
D) A way to increase model accuracy
Correct Answer: B
Explanation: Chunking refers to breaking down large inputs into smaller, manageable pieces. This is mentioned in Task Statement 2.1 under foundational generative AI concepts.
17. Which of the following is a key advantage of generative AI’s simplicity?
A) It always produces perfect results
B) It requires no human input
C) It can be easier to implement and use compared to traditional methods
D) It eliminates the need for data preprocessing
Correct Answer: C
Explanation: Simplicity in generative AI often means it can be easier to implement and use compared to traditional methods. This is implied in Task Statement 2.2 where simplicity is listed as an advantage.
18. What is a diffusion model in generative AI?
A) A model that only works with textual data
B) A type of generative model often used for image generation
C) A model that requires no training data
D) A model specifically designed for natural language processing
Correct Answer: B
Explanation: Diffusion models are a type of generative model often used for image generation. This is mentioned in Task Statement 2.1 under foundational generative AI concepts.
19. Which AWS service is designed to provide conversational AI capabilities?
A) Amazon Bedrock
B) Amazon SageMaker
C) Amazon Q
D) Amazon S3
Correct Answer: C
Explanation: Amazon Q is mentioned in Task Statement 2.3 as an AWS service for developing generative AI applications, and it provides conversational AI capabilities.
20. What is a key consideration in the cost tradeoffs of AWS generative AI services?
A) The color scheme of the user interface
B) The number of employees in the company
C) Token-based pricing
D) The physical location of the data center
Correct Answer: C
Explanation: Token-based pricing is mentioned in Task Statement 2.3 as one of the cost tradeoffs to consider for AWS generative AI services.
21. What is the primary purpose of embeddings in generative AI?
A) To compress data for storage
B) To represent data in a high-dimensional space
C) To encrypt sensitive information
D) To generate random numbers
Correct Answer: B
Explanation: Embeddings are used to represent data in a high-dimensional space. This is mentioned in Task Statement 2.1 under foundational generative AI concepts.
22. Which of the following is NOT a typical use case for generative AI in customer service?
A) Chatbots
B) Automated email responses
C) Physical robot assistants
D) FAQ generation
Correct Answer: C
Explanation: Physical robot assistants are not a typical use case for generative AI in customer service. The other options align with the use cases mentioned in Task Statement 2.1.
23. What is a key advantage of using AWS generative AI services for building applications in terms of development speed?
A) They automatically write all the code for you
B) They provide faster time to market
C) They eliminate the need for testing
D) They guarantee instant deployment
Correct Answer: B
Explanation: Speed to market is mentioned in Task Statement 2.3 as one of the advantages of using AWS generative AI services.
24. What is nondeterminism in the context of generative AI?
A) A type of model architecture
B) A method of data preprocessing
C) The property of producing different outputs for the same input
D) A technique for improving model accuracy
Correct Answer: C
Explanation: Nondeterminism refers to the property of producing different outputs for the same input. This is listed as a potential disadvantage of generative AI in Task Statement 2.2.
25. Which AWS service is designed to help developers quickly get started with pre-trained models for generative AI?
A) Amazon EC2
B) Amazon SageMaker JumpStart
C) Amazon RDS
D) Amazon CloudFront
Correct Answer: B
Explanation: Amazon SageMaker JumpStart is mentioned in Task Statement 2.3 as an AWS service for developing generative AI applications, specifically designed to help developers quickly get started with pre-trained models.
Prepare for Domain 3:
As you complete Domain 2, stay tuned for our next post, where we’ll cover Applications of Foundation Models — the largest section of the exam. We’ll discuss how to apply the knowledge you’ve gained to practical scenarios, ensuring you’re fully equipped to tackle this important domain. You can find the next post here: [AWS Certified AI Practitioner: Domain 3 — Applications of Foundation Models].
Let’s keep the momentum going, and continue building your expertise in AI with the AWS Certified AI Practitioner certification!
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