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最新的 AWS Certified Foundational CLF-C02 免費考試真題 (Q466-Q471):
問題 #466
Which tasks are the customer's responsibility, according to the AWS shared responsibility model? (Select TWO.)
- A. Secure edge locations.
- B. Perform client-side data encryption.
- C. Configure 1AM credentials.
- D. Patch Amazon RDS DB instances.
- E. Establish the global infrastructure.
答案：B,C
解題說明：
According to the AWS shared responsibility model, AWS is responsible for the security of the cloud, while the customer is responsible for the security in the cloud. This means that AWS is responsible for protecting the infrastructure that runs all of the services offered in the AWS Cloud, such as the global network, the hardware, the software, and the facilities. The customer is responsible for properly configuring the security of the provided service, such as the guest operating system, the application software, the data, and the network traffic. For abstracted services, such as Amazon RDS, AWS operates the infrastructure layer, the operating system, and the database software, while the customer is responsible for managing their data, classifying their assets, and using IAM tools to apply the appropriate permissions12.
Therefore, the tasks that are the customer's responsibility are:
* Perform client-side data encryption: The customer is responsible for encrypting their data before sending it to AWS, and decrypting it after receiving it from AWS. This ensures that the data is protected in transit and at rest. AWS provides various encryption options, such as AWS Key Management Service (AWS KMS), AWS CloudHSM, and AWS Certificate Manager (ACM)3.
* Configure IAM credentials: The customer is responsible for creating and managing IAM users, groups, roles, and policies that control the access to AWS resources and services. IAM credentials include user names, passwords, access keys, and permissions4.
The tasks that are not the customer's responsibility are:
* Establish the global infrastructure: AWS is responsible for building and maintaining the global network of regions, availability zones, and edge locations that provide low latency, high availability, and fault tolerance for the AWS Cloud5.
* Secure edge locations: AWS is responsible for protecting the physical security of the edge locations, which are sites that deliver cached content to end users with improved performance6.
* Patch Amazon RDS DB instances: AWS is responsible for applying patches and updates to the operating system and the database software of the Amazon RDS DB instances, which are managed relational database service for MySQL, PostgreSQL, Oracle, SQL Server, and Amazon Aurora. References:
* Shared Responsibility Model - Amazon Web Services (AWS)
* Shared responsibility model - Amazon Web Services: Risk and Compliance
* Encryption - Amazon Web Services (AWS)
* What Is IAM? - AWS Identity and Access Management
* Global Infrastructure - Amazon Web Services (AWS)
* Amazon CloudFront Features - Content Delivery Network (CDN)
* [What Is Amazon Relational Database Service (Amazon RDS)? - Amazon Relational Database Service]
問題 #467
A company wants a time-series database service that makes it easier to store and analyze trillions of events each day.
Which AWS service will meet this requirement?
- A. Amazon Timestream
- B. Amazon DocumentDB (with MongoDB compatibility)
- C. Amazon Neptune
- D. Amazon Forecast
答案：A
解題說明：
Explanation
Amazon Timestream is a fast, scalable, and serverless time-series database service for IoT and other operational applications that makes it easy to store and analyze trillions of events per day up to 1,000 times faster and at as little as 1/10th the cost of relational databases1. Amazon Timestream saves you time and cost in managing the lifecycle of time series data, and its purpose-built query engine lets you access and analyze recent and historical data together with a single query1. Amazon Timestream has built-in time series analytics functions, helping you identify trends and patterns in near real time1.
The other options are not suitable for storing and analyzing trillions of events per day. Amazon Neptune is a graph database service that supports highly connected data sets. Amazon Forecast is a machine learning service that generates accurate forecasts based on historical data. Amazon DocumentDB (with MongoDB compatibility) is a document database service that supports MongoDB workloads.
References:
1: Time Series Database - Amazon Timestream - Amazon Web Services
問題 #468
A company is running an application that is hosted on Amazon EC2 instances. The usage of the EC2 instances is higher during daytime hours than nighttime hours. The company wants to optimize the number of EC2 instances based on this usage pattern.
Which AWS service or instance purchasing option should the company use to meet these requirements?
- A. Reserved Instances
- B. AWS CloudFormation
- C. Spot Instances
- D. AWS Auto Scaling
答案：D
解題說明：
Explanation
AWS Auto Scaling is the AWS service that allows users to optimize the number of EC2 instances based on the usage pattern, as it automatically adjusts the capacity to maintain steady and predictable performance at the lowest possible cost. Spot Instances are a way to reduce the cost of EC2 instances by bidding on unused EC2 capacity, but they are not suitable for applications that require steady and reliable performance. Reserved Instances are a way to reduce the cost of EC2 instances by committing to a certain amount of usage for a period of time, but they are not flexible to adjust to the usage pattern. AWS CloudFormation is a way to automate the creation and management of AWS resources, but it does not optimize the number of EC2 instances based on the usage pattern. These concepts are explained in the AWS Cloud Practitioner Essentials course3.
問題 #469
A company moves its infrastructure from on premises to the AWS Cloud. The company can now provision additional Amazon EC2 instances whenever the instances are required. With this ability, the company can launch new marketing campaigns in 3 days instead of 3 weeks.
Which benefit of the AWS Cloud does this scenario demonstrate?
- A. Increased business agility
- B. Improved operational resilience
- C. Cost savings
- D. Enhanced security
答案：A
解題說明：
Increased business agility is the benefit of the AWS Cloud that this scenario demonstrates. Business agility refers to the ability of a company to adapt to changing customer needs, market conditions, and competitive pressures. Moving to the AWS Cloud enables business agility by providing faster access to resources, lower upfront costs, and greater scalability and flexibility. By using the AWS Cloud, the company can launch new marketing campaigns in 3 days instead of 3 weeks, which shows that it can respond to customer feedback more quickly and efficiently. For more information, see Benefits of Cloud Computing and [Business Agility].
問題 #470
A company's IT team is managing MySQL database server clusters. The IT team has to patch the database and take backup snapshots of the data in the clusters. The company wants to move this workload to AWS so that these tasks will be completed automatically.
What should the company do to meet these requirements?
- A. Use Amazon RDS with a MySQL database.
- B. Deploy MySQL database server clusters on Amazon EC2 instances.
- C. Use an AWS CloudFormation template to deploy MySQL database servers on Amazon EC2 instances.
- D. Migrate all the MySQL database data to Amazon S3.
答案：A
解題說明：
Explanation
Amazon RDS is a service that makes it easy to set up, operate, and scale a relational database in the cloud.
Amazon RDS supports MySQL as one of the database engines. By using Amazon RDS with a MySQL database, the company can offload the tasks of patching the database and taking backup snapshots to AWS.
Amazon RDS automatically patches the database software and operating system of the database instances.
Amazon RDS also automatically backs up the database and retains the backups for a user-defined retention period. The company can also restore the database to any point in time within the retention period. Deploying MySQL database server clusters on Amazon EC2 instances, using an AWS CloudFormation template to deploy MySQL database servers on Amazon EC2 instances, or migrating all the MySQL database data to Amazon S3 are not the best options to meet the requirements. These options would not automate the tasks of patching the database and taking backup snapshots, and would require more operational overhead from the company3
問題 #471
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