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Amazon CLF-C02 認定試験の出題範囲：

トピック出題範囲
トピック 1
  • Security and Compliance: This section involves understanding the shared responsibility framework of AWS in addition to compliance and governance. It also involves exploring the management capabilities of AWS by exploring its security capabilities.
トピック 2
  • Cloud Technology and Services: Describe ways to access AWS services in AWS Cloud and explore connectivity options. It deals with defining the global infrastructure of AWS, computing services, and network services.
トピック 3
  • Billing, Pricing, and Support: This section contrasts pricing methods and budgeting resources management. It also tests understanding of billing methods, identifying support options, and technical resources.
トピック 4
  • Cloud Concepts: This section involves knowledge of value proposition and exploring design rules of AWS. It covers the advantages of techniques for moving over to AWS cloud and developing a good understanding of cloud economics.

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CLF-C02資格勉強、CLF-C02英語版

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Amazon AWS Certified Cloud Practitioner 認定 CLF-C02 試験問題 (Q826-Q831):

質問 # 826
Which of the following is an AWS Well-Architected Framework design principle for operational excellence in the AWS Cloud?

正解：C

解説：
Making frequent, small, reversible changes is one of the design principles for operational excellence in the AWS Cloud, as defined by the AWS Well-Architected Framework. This principle means that you should design your workloads to allow for rapid and safe changes, such as deploying updates, rolling back failures, and experimenting with new features. By making small and reversible changes, you can reduce the risk of errors, minimize the impact of failures, and increase the speed of recovery2. Reference: 2: AWS Documentation - AWS Well-Architected Framework - Operational Excellence Pillar


質問 # 827
Which of the following is a software development framework that a company can use to define cloud resources as code and provision the resources through AWS CloudFormation?

正解：D

解説：
Explanation
AWS Cloud Development Kit (AWS CDK) is a software development framework that allows you to define cloud resources as code using familiar programming languages, such as TypeScript, Python, Java, .NET, and Go (in Developer Preview). You can use AWS CDK to model your application resources using high-level constructs that provide sensible defaults and best practices, or use low-level constructs that provide full access to the underlying AWS CloudFormation resources. AWS CDK synthesizes your code into AWS CloudFormation templates that you can deploy using the AWS CDK CLI or the AWS Management Console.
AWS CDK also integrates with other AWS services, such as AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS Lambda, Amazon EC2, Amazon S3, and more, to help you automate your development and deployment processes. AWS CDK is an open-source framework that you can extend and contribute to. References: Cloud Development Framework - AWS Cloud Development Kit - AWS, AWS Cloud Development Kit Documentation, AWS Cloud Development Kit - Wikipedia, AWS CDK Intro Workshop | AWS CDK Workshop


質問 # 828
Which capabilities are part of the Operations perspective of the AWS Cloud Adoption Framework (AWS CAF)?(Select TWO.)

正解：B、C

解説：
Comprehensive and Detailed Explanation From AWS Cloud Documentation:
The AWS Cloud Adoption Framework Operations perspective focuses on delivering cloud services at an agreed level and improving workload reliability through effective operations. AWS lists observability as an Operations capability because teams need metrics, logs, traces, endpoint monitoring, and alerts to understand workload health and identify problems. AWS also lists configuration management as an Operations capability because organizations need an accurate record of workloads, relationships, settings, and configuration changes, and must control configuration drift. Therefore, options A and E are correct. The other choices belong to different AWS CAF perspectives. Data governance is a Governance perspective capability concerned with authority, ownership, standards, quality, and control over organizational data. Platform architecture is a Platform perspective capability that establishes architectural guidelines, patterns, principles, and guardrails for the cloud environment. Portfolio management is a Business perspective capability that prioritizes cloud products and initiatives in line with strategy, value, and delivery capacity. The question asks specifically for Operations capabilities, so only observability and configuration management satisfy the AWS CAF classification.


質問 # 829
A company needs to use dashboards and charts to analyze insights from business data.
Which AWS service will provide the dashboards and charts for these insights?

正解：C

解説：
Explanation
The correct answer is C because Amazon QuickSight is an AWS service that will provide the dashboards and charts for the insights from business data. Amazon QuickSight is a fully managed, scalable, and serverless business intelligence service that enables users to create and share interactive dashboards and charts. Amazon QuickSight can connect to various data sources, such as Amazon S3, Amazon RDS, Amazon Redshift, and more. Amazon QuickSight also provides users with machine learning insights, such as anomaly detection, forecasting, and natural language narratives. The other options are incorrect because they are not AWS services that will provide the dashboards and charts for the insights from business data. Amazon Macie is an AWS service that helps users discover, classify, and protect sensitive data stored in Amazon S3. Amazon Aurora is an AWS service that provides a relational database that is compatible with MySQL and PostgreSQL.
AWS CloudTrail is an AWS service that enables users to track user activity and API usage across their AWS account. Reference: Amazon QuickSight FAQs


質問 # 830
A company has a social media platform in which users upload and share photos with other users. The company wants to identify and remove inappropriate photos. The company has no machine learning (ML) scientists and must build this detection capability with no ML expertise.
Which AWS service should the company use to build this capability?

正解：C

解説：
Explanation
Amazon Rekognition is the AWS service that the company should use to build the capability of identifying and removing inappropriate photos. Amazon Rekognition is a service that uses deep learning technology to analyze images and videos for various purposes, such as face detection, object recognition, text extraction, and content moderation. Amazon Rekognition can help users detect unsafe or inappropriate content in images and videos, such as nudity, violence, or drugs, and provide confidence scores for each label. Amazon Rekognition does not require any machine learning expertise, and users can easily integrate it with other AWS services


質問 # 831
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