Free Amazon AIF-C01 Exam Questions

Question 1

A marketing company is researching generative AI technologies to better understand how they work and what makes them suitable for automating creative tasks. Understanding the core principles of generative AI will help the company determine if it’s the right fit for their content creation needs.Given this context, which of the following best describes generative AI?

A : Generative AI encompasses models and algorithms capable of creating new content such as text, images, and audio based on patterns learned from existing data

B : Generative AI refers to AI systems that are limited to performing predefined tasks without adapting to new data or contexts

C : Generative AI refers to algorithms that analyze existing data to generate new insights without creating new content

Answer: A

Question 2

A tech company is developing an AI-powered customer support solution using Retrieval-Augmented Generation (RAG) with Amazon Bedrock to provide more accurate and context-aware responses. To achieve this, the company needs a database that can handle fast index lookups and similarity searches to quickly retrieve the most relevant documents or information from a large dataset. The ideal database solution should efficiently support search queries and rank results based on their relevance to the input provided by the user.Given these requirements, which database solution would be most appropriate for the company to use?

A : The company should use Amazon OpenSearch Service, which is designed to provide fast search capabilities and supports full-text search, indexing, and similarity scoring

B : The company should use Amazon DocumentDB (with MongoDB compatibility), a managed NoSQL document database service designed for storing semi-structured data to facilitate search capabilities

C : The company should use Amazon Aurora, a managed relational database service that is optimized for high-performance transactional workloads that can be useful for search operations

D : The company should use Amazon DynamoDB, a fully managed NoSQL database service that offers low-latency data retrieval to handle fast index lookups as well as search operations

Answer: A

Question 3

A security company is evaluating Amazon Rekognition to enhance its Machine Learning (ML) capabilities. However, the data science team needs to identify scenarios where Amazon Rekognition may not be the most suitable solution. Understanding these limitations will help the team select the right tools for different aspects of their security system.Given this context, which of the following use cases is NOT the right fit for Amazon Rekognition?

A : Celebrity recognition

B : Enable multilingual user experiences in your applications

C : Face-based user identity verification

D : Searchable media libraries

Answer: B

Question 4

A retail company is looking to implement AI-driven solutions to enhance its in-store operations, such as automating inventory management and improving security through visual monitoring. The company wants to leverage pre-trained computer vision (CV) models for fast deployment but also needs the flexibility to customize these models to fit specific business needs. To make an informed decision, the team is evaluating AWS services that offer both pre-trained and customizable computer vision capabilities.What do you suggest?

A : Amazon SageMaker

B : Amazon DeepRacer

C : Amazon Rekognition

D : Amazon Textract

Answer: C

Question 5

In the context of security and privacy for AI systems on AWS, what is the primary difference between threat detection and vulnerability management?

A : Threat detection involves real-time monitoring and identification of active threats, whereas vulnerability management is about identifying, assessing, and mitigating security weaknesses

B : Threat detection focuses on identifying potential weaknesses in the system, while vulnerability management continuously monitors for malicious activities

C : Threat detection and vulnerability management both exclusively focus on compliance with regulatory requirements

D : Threat detection is concerned with data encryption and access controls, while vulnerability management deals with incident response and recovery

Answer: A