Pdf Amazon AIF-C01 Braindumps, New AIF-C01 Exam Questions

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Amazon AIF-C01 Exam Syllabus Topics:

Topic	Details
Topic 1	Security, Compliance, and Governance for AI Solutions: This domain covers the security measures, compliance requirements, and governance practices essential for managing AI solutions. It targets security professionals, compliance officers, and IT managers responsible for safeguarding AI systems, ensuring regulatory compliance, and implementing effective governance frameworks.
Topic 2	Applications of Foundation Models: This domain examines how foundation models, like large language models, are used in practical applications. It is designed for those who need to understand the real-world implementation of these models, including solution architects and data engineers who work with AI technologies to solve complex problems.
Topic 3	Fundamentals of Generative AI: This domain explores the basics of generative AI, focusing on techniques for creating new content from learned patterns, including text and image generation. It targets professionals interested in understanding generative models, such as developers and researchers in AI.
Topic 4	Guidelines for Responsible AI: This domain highlights the ethical considerations and best practices for deploying AI solutions responsibly, including ensuring fairness and transparency. It is aimed at AI practitioners, including data scientists and compliance officers, who are involved in the development and deployment of AI systems and need to adhere to ethical standards.
Topic 5	Fundamentals of AI and ML: This domain covers the fundamental concepts of artificial intelligence (AI) and machine learning (ML), including core algorithms and principles. It is aimed at individuals new to AI and ML, such as entry-level data scientists and IT professionals.

Amazon AWS Certified AI Practitioner Sample Questions (Q65-Q70):

NEW QUESTION # 65
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. Select a large, diverse dataset to pre-train a new generative model.
D. Create effective prompts that provide clear instructions and context to guide the model's generation.

Answer: D

Explanation:
Creating effective prompts is the best solution to ensure that the content generated by a pre-trained generative AI model aligns with the company's brand voice and messaging requirements.
Effective Prompt Engineering:
Involves crafting prompts that clearly outline the desired tone, style, and content guidelines for the model.
By providing explicit instructions in the prompts, the company can guide the AI to generate content that matches the brand's voice and messaging.
Why Option C is Correct:
Guides Model Output: Ensures the generated content adheres to specific brand guidelines by shaping the model's response through the prompt.
Flexible and Cost-effective: Does not require retraining or modifying the model, which is more resource-efficient.
Why Other Options are Incorrect:
A . Optimize the model's architecture and hyperparameters: Improves model performance but does not specifically address alignment with brand voice.
B . Increase model complexity: Adding more layers may not directly help with content alignment.
D . Pre-training a new model: Is a costly and time-consuming process that is unnecessary if the goal is content alignment.

NEW QUESTION # 66
An AI practitioner wants to use a foundation model (FM) to design a search application. The search application must handle queries that have text and images.
Which type of FM should the AI practitioner use to power the search application?

A. Multi-modal generation model
B. Multi-modal embedding model
C. Text embedding model
D. Image generation model

Answer: B

NEW QUESTION # 67
A company has terabytes of data in a database that the company can use for business analysis. The company wants to build an AI-based application that can build a SQL query from input text that employees provide. The employees have minimal experience with technology.
Which solution meets these requirements?

A. Support vector machine
B. Residual neural network
C. WaveNet
D. Generative pre-trained transformers (GPT)

Answer: D

Explanation:
Generative Pre-trained Transformers (GPT) are suitable for building an AI-based application that can generate SQL queries from natural language input provided by employees.
GPT for Natural Language Processing:
GPT models are designed for understanding and generating human-like text based on natural language input.
They can be fine-tuned to interpret specific tasks, such as converting natural language queries into SQL queries.
Why Option A is Correct:
Natural Language Understanding: GPT is highly effective for tasks that require understanding of human language and generating structured outputs like SQL.
User-Friendly: Requires minimal technology experience from employees, as they provide simple text input.
Why Other Options are Incorrect:
B . Residual neural network: Typically used in computer vision tasks, not for natural language-to-SQL conversion.
C . Support vector machine: Used for classification tasks, not for generating structured queries from text.
D . WaveNet: A deep generative model for audio data, unrelated to text-to-SQL tasks.

NEW QUESTION # 68
A manufacturing company wants to create product descriptions in multiple languages.
Which AWS service will automate this task?

A. Amazon Kendra
B. Amazon Translate
C. Amazon Polly
D. Amazon Transcribe

Answer: B

Explanation:
The manufacturing company needs to create product descriptions in multiple languages, which requires automated language translation. Amazon Translate is a fully managed service that uses machine learning to provide high-quality translation between languages, making it the ideal solution for this task.
Exact Extract from AWS AI Documents:
From the Amazon Translate Developer Guide:
"Amazon Translate is a neural machine translation service that delivers fast, high-quality, and affordable language translation. It can be used to automatically translate text, such as product descriptions, into multiple languages to reach a global audience." (Source: Amazon Translate Developer Guide, Introduction to Amazon Translate) Detailed Option A: Amazon TranslateThis is the correct answer. Amazon Translate automates the translation of text into multiple languages, directly addressing the company's need to create product descriptions in different languages.
Option B: Amazon TranscribeAmazon Transcribe converts speech to text, which is unrelated to translating text into multiple languages. This option is incorrect.
Option C: Amazon KendraAmazon Kendra is an intelligent search service that uses machine learning to provide answers from documents, not for translating text. This option is irrelevant.
Option D: Amazon PollyAmazon Polly is a text-to-speech service that generates spoken audio from text, not for translating text into other languages. This option does not meet the requirements.
Reference:
Amazon Translate Developer Guide: Introduction to Amazon Translate (https://docs.aws.amazon.com/translate/latest/dg/what-is.html) AWS AI Practitioner Learning Path: Module on Natural Language Processing Services AWS Documentation: Language Translation with Amazon Translate (https://aws.amazon.com/translate/)

NEW QUESTION # 69
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. Add a role description to the prompt context that instructs the model of the age range that the response should target.
B. Summarize the response text depending on the age of the user so that younger users receive shorter responses.
C. Use chain-of-thought reasoning to deduce the correct style and complexity for a response suitable for that user.
D. Fine-tune the model by using additional training data that is representative of the various age ranges that the application will support.

Answer: A

Explanation:
Adding a role description to the prompt context is a straightforward way to instruct the generative AI model to adjust its response style based on the user's age range. This method requires minimal implementation effort as it does not involve additional training or complex logic.
Option B (Correct): "Add a role description to the prompt context that instructs the model of the age range that the response should target": This is the correct answer because it involves the least implementation effort while effectively guiding the model to tailor responses according to the age range.
Option A: "Fine-tune the model by using additional training data" is incorrect because it requires significant effort in gathering data and retraining the model.
Option C: "Use chain-of-thought reasoning" is incorrect as it involves complex reasoning that may not directly address the need to adjust response style based on age.
Option D: "Summarize the response text depending on the age of the user" is incorrect because it involves additional processing steps after generating the initial response, increasing complexity.
AWS AI Practitioner Reference:
Prompt Engineering Techniques on AWS: AWS recommends using prompt context effectively to guide generative models in providing tailored responses based on specific user attributes.

NEW QUESTION # 70
......

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Pdf Amazon AIF-C01 Braindumps, New AIF-C01 Exam Questions

Pdf AIF-C01 Braindumps & Amazon New AIF-C01 Exam Questions: AWS Certified AI Practitioner Exam Pass Once Try

Amazon AIF-C01 Exam Syllabus Topics:

Amazon AWS Certified AI Practitioner Sample Questions (Q65-Q70):

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