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Amazon CLF-C02 Exam Syllabus Topics:

SectionWeightObjectives
Billing, Pricing, and Support16%- Support plans
  • 1. AWS Support tiers overview
    - AWS pricing models
    • 1. Pay-as-you-go model
      • 2. Savings Plans and Free Tier
        Security and Compliance25%- Security services
        • 1. AWS compliance programs
          • 2. IAM fundamentals
            - AWS shared responsibility model
            • 1. Customer vs AWS responsibilities
              Cloud Technology and Services33%- AWS global infrastructure
              • 1. Regions and Availability Zones
                - Core AWS services
                • 1. Networking (VPC)
                  • 2. Compute (EC2, Lambda)
                    • 3. Storage (S3, EBS)
                      Cloud Concepts26%- AWS Cloud adoption frameworks
                      • 1. AWS Well-Architected Framework basics
                        - Cloud value proposition
                        • 1. Benefits of AWS Cloud
                          • 2. Economies of scale

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                            Amazon AWS Certified Cloud Practitioner Sample Questions (Q341-Q346):

                            NEW QUESTION # 341
                            Using Amazon Elastic Container Service (Amazon ECS) to break down a monolithic architecture into microservices is an example of:

                            Answer: D

                            Explanation:
                            Using Amazon Elastic Container Service (Amazon ECS) to break down a monolithic architecture into microservices is an example of a loosely coupled architecture. A loosely coupled architecture is one where the components are independent and can communicate with each other through well-defined interfaces. This allows for greater scalability, flexibility, and resilience. A tightly coupled architecture is one where the components are interdependent and rely on each other for functionality. This can lead to increased complexity, fragility, and difficulty in changing or scaling the system. Amazon ECS OverviewAWS Well-Architected Framework


                            NEW QUESTION # 342
                            Who is responsible for decommissioning end-of-life underlying storage devices that are used to host data on AWS?

                            Answer: D

                            Explanation:
                            AWS is responsible for decommissioning end-of-life underlying storage devices that are used to host data on AWS. AWS follows strict and audited data destruction processes to ensure that customer data is not exposed to unauthorized individuals or devices when an AWS storage device reaches the end of its useful life. AWS uses techniques detailed in DoD 5220.22-M ("National Industrial Security Program Operating Manual") or NIST 800-88 ("Guidelines for Media Sanitization") to destroy data as part of the decommissioning process3.


                            NEW QUESTION # 343
                            A company uses Amazon RDS to host its application database.
                            According to the AWS shared responsibility model, which task is AWS responsible for when securing this database?

                            Answer: B


                            NEW QUESTION # 344
                            A company wants to centrally manage security policies and billing services within a multi-account AWS environment. Which AWS service should the company use to meet these requirements?

                            Answer: A

                            Explanation:
                            Explanation
                            AWS Organizations is a service that helps you centrally manage and govern your environment as you grow and scale your AWS resources. You can use AWS Organizations to create groups of accounts and apply policies to them. You can also use AWS Organizations to consolidate billing for multiple accounts. Therefore, the correct answer is B. You can learn more about AWS Organizations and its features from this page.


                            NEW QUESTION # 345
                            Which AWS service provides a highly accurate enterprise search capability that is powered by machine learning?

                            Answer: B

                            Explanation:
                            Amazon Kendra is an intelligent enterprise search service that uses machine learning and natural language processing to help users find relevant information across organizational content. It can index unstructured documents from multiple repositories and return relevant answers, passages, and documents in response to natural-language questions. AWS describes Kendra as providing highly accurate enterprise search and retrieval capabilities, making option C correct. Amazon Augmented AI, abbreviated Amazon A2I, supports human review workflows for machine-learning predictions when human validation is required. It is not an enterprise search engine. Amazon Rekognition analyzes images and videos to identify objects, text, people, activities, and other visual information. Amazon Polly converts written text into lifelike speech. Neither service searches enterprise document repositories. The important exam association is that Kendra is used when an organization needs intelligent, natural-language search across sources such as document management systems, knowledge repositories, websites, and file collections. Kendra uses machine-learning techniques to understand the context and intent of a question instead of relying only on simple keyword matching.


                            NEW QUESTION # 346
                            ......

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