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  1. Home
  2. Amazon Certification
  3. CLF-C02 Exam
  4. Amazon.CLF-C02.v2026-01-12.q276 Dumps
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Question 141

Which capabilities are in the platform perspective of the AWS Cloud Adoption Framework (AWS CAF)?
(Select TWO.)

Correct Answer: B,C
The platform perspective of the AWS Cloud Adoption Framework (AWS CAF) helps you build an enterprise- grade, scalable, hybrid cloud platform, modernize existing workloads, and implement new cloud-native solutions1. It comprises seven capabilities, two of which are data engineering and CI/CD1.
* Data engineering: This capability helps you design and evolve a fit-for-purpose data and analytics architecture that can reduce complexity, cost, and technical debt while enabling you to gain actionable insights from exponentially growing data volumes1. It involves selecting key technologies for each of your architectural layers, such as ingestion, storage, catalog, processing, and consumption. It also involves supporting real-time data processing and adopting a Lake House architecture to facilitate data movements between data lakes and purpose-built data stores1.
* CI/CD: This capability helps you automate the delivery of your cloud solutions using a set of practices and tools that enable faster and more reliable deployments1. It involves establishing a pipeline that can build, test, and deploy your code across multiple environments. It also involves adopting a DevOps culture that fosters collaboration, feedback, and continuous improvement among your development and operations teams1.
References:
* 1: Platform perspective: infrastructure and applications - An Overview of the AWS Cloud Adoption Framework
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Question 142

A developer wants to deploy an application quickly on AWS without manually creating the required resources.
Which AWS service will meet these requirements?

Correct Answer: B
AWS Elastic Beanstalk is a service that allows you to deploy and manage applications on AWS without manually creating and configuring the required resources, such as EC2 instances, load balancers, security groups, databases, and more. AWS Elastic Beanstalk automatically handles the provisioning, scaling, load balancing, health monitoring, and updating of your application, while giving you full control over the underlying AWS resources if needed. AWS Elastic Beanstalk supports a variety of platforms and languages, such as Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker. You can use the AWS Management Console, the AWS CLI, the AWS SDKs, or the AWS Elastic Beanstalk API to create and manage your applications. You can also use AWS CodeStar, AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline to integrate AWS Elastic Beanstalk with your development and deployment workflows12
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Question 143

A company is running a monolithic on-premises application that does not scale and is difficult to maintain.
The company has a plan to migrate the application to AWS and divide the application into microservices.
Which best practice of the AWS Well-Architected Framework is the company following with this plan?

Correct Answer: D
Explanation
The company is following the best practice of implementing loosely coupled dependencies by migrating the application to AWS and dividing the application into microservices. Loosely coupled dependencies are a design principle of the AWS Well-Architected Framework that helps to reduce the interdependencies between components and improve the scalability, reliability, and performance of the system. By breaking down the monolithic application into smaller, independent, and modular services, the company can reduce the complexity and maintenance costs, increase the agility and flexibility, and enable faster and more frequent deployments. AWS CloudFormation is an AWS service that provides the ability to manage infrastructure as code. Infrastructure as code is a process of defining and provisioning AWS resources using code or templates, rather than manual actions or scripts. AWS CloudFormation allows users to create and update stacks of AWS resources based on predefined templates that describe the desired state and configuration of the resources.
AWS CloudFormation automates and simplifies the deployment and management of AWS resources, and ensures consistency and repeatability across different environments and regions. AWS CloudFormation also supports rollback, change sets, drift detection, and nested stacks features that help users to monitor and control the changes to their infrastructure. References: Implementing Loosely Coupled Dependencies, What is AWS CloudFormation?
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Question 144

A company needs to search for text in documents that are stored in Amazon S3.
Which AWS service will meet these requirements?

Correct Answer: A
Explanation
Amazon Kendra is a highly accurate and easy to use intelligent search service powered by machine learning. It enables users to easily find the content they are looking for, even when it is scattered across multiple locations and content repositories within their organization. Amazon Kendra supports natural language queries, and can search for text in documents stored in Amazon S3, as well as other sources such as SharePoint, OneDrive, Salesforce, ServiceNow, and more1.
Amazon Rekognition is a computer vision service that makes it easy to add image and video analysis to applications. It can detect objects, faces, text, scenes, activities, and emotions in images and videos. However, it is not designed for searching for text in documents stored in Amazon S32.
Amazon Polly is a text-to-speech service that turns text into lifelike speech. It can create audio versions of books, articles, podcasts, and more. However, it is not designed for searching for text in documents stored in Amazon S33.
Amazon Lex is a service for building conversational interfaces using voice and text. It can create chatbots that can interact with users using natural language. However, it is not designed for searching for text in documents stored in Amazon S34.
References:
Amazon Kendra - Intelligent Search Service Powered by Machine Learning
Amazon Rekognition - Video and Image - AWS
Amazon Polly - Text-to-Speech Service - AWS
Amazon Lex - Build Conversation Bots - AWS
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Question 145

Which AWS service can a company use to securely store and encrypt passwords for a database?

Correct Answer: B
Explanation
AWS Secrets Manager is an AWS service that can be used to securely store and encrypt passwords for a database. It allows users to manage secrets, such as database credentials, API keys, and tokens, in a centralized and secure way. It also provides features such as automatic rotation, fine-grained access control, and auditing.
AWS Shield is an AWS service that provides protection against Distributed Denial of Service (DDoS) attacks for AWS resources and services. It does not store or encrypt passwords for a database. AWS Identity and Access Management (IAM) is an AWS service that allows users to manage access to AWS resources and services. It can be used to create users, groups, roles, and policies that control who can do what in AWS. It does not store or encrypt passwords for a database. Amazon Cognito is an AWS service that provides user identity and data synchronization for web and mobile applications. It can be used to authenticate and authorize users, manage user profiles, and sync user data across devices. It does not store or encrypt passwords for a database.
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