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Amazon CLF-C02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Cloud Technology and Services34%- Identify the core AWS services
  • 1. Storage
  • 2. Network
  • 3. Compute
  • 4. Database
- Define the AWS global infrastructure
- Identify resources for technology support
- Define methods of deploying and operating in the AWS Cloud
Topic 2: Security and Compliance30%- Identify resources for security support
- Define the AWS shared responsibility model
- Identify AWS access management capabilities
- Define AWS Cloud security and compliance concepts
Topic 3: Billing, Pricing, and Support12%- Compare and contrast the various pricing models for AWS
- Recognize the various account structures in relation to AWS billing and pricing
- Identify resources available for billing support
Topic 4: Cloud Concepts24%- Define the AWS Cloud and its value proposition
- Explain the different cloud architecture design principles
- Identify aspects of AWS Cloud economics

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Amazon AWS Certified Cloud Practitioner Sample Questions (Q773-Q778):

NEW QUESTION # 773
A user wants to invoke an AWS Lambda function when an Amazon EC2 instance enters the "stopping" state.
Which AWS service is appropriate for this use case?

Answer: C

Explanation:
Amazon EventBridge (formerly CloudWatch Events) allows users to respond to changes in the state of AWS resources. It can be configured to invoke an AWS Lambda function when an EC2 instance enters the
"stopping" state, providing a serverless way to automate responses to changes in EC2 instance states. AWS Config, SNS, and CloudFormation do not provide direct triggering for specific instance state changes.


NEW QUESTION # 774
According to the AWS shared responsibility model, which of the following are AWS responsibilities? (Select TWO.)

Answer: B,C

Explanation:
The correct answers are A and D because network infrastructure and virtualization of infrastructure and physical security of hardware are AWS responsibilities according to the AWS shared responsibility model.
The AWS shared responsibility model is a framework that defines the division of responsibilities between AWS and the customer for security and compliance. AWS is responsible for the security of the cloud, which includes the global infrastructure, such as the regions, availability zones, and edge locations; the hardware, software, networking, and facilities that run the AWS services; and the virtualization layer that separates the customer instances and storage. The customer is responsible for the security in the cloud, which includes the customer data, the guest operating systems, the applications, the identity and access management, the firewall configuration, and the encryption. The other options are incorrect because they are not AWS responsibilities according to the AWS shared responsibility model. Security of application data, guest operating systems, and credentials and policies are customer responsibilities according to the AWS shared responsibility model.
Reference: [AWS Shared Responsibility Model]


NEW QUESTION # 775
A company needs to migrate a PostgreSQL database from on-premises to Amazon RDS.
Which AWS service or tool should the company use to meet this requirement?

Answer: D

Explanation:
AWS Database Migration Service (AWS DMS) is a managed and automated service that helps you migrate your databases from your on-premises or cloud environment to AWS, either as a one-time migration or as a continuous replication. AWS DMS supports migration between 20-plus database and analytics engines, such as PostgreSQL, Oracle, MySQL, SQL Server, MongoDB, Amazon Aurora, Amazon RDS, Amazon Redshift, and Amazon S3. AWS DMS also provides schema conversion and validation tools, as well as monitoring and security features. AWS DMS is a cost-effective and reliable solution for database migration, as you only pay for the compute resources and additional log storage used during the migration process, and you can minimize the downtime and data loss with Multi-AZ and ongoing replication12 To migrate a PostgreSQL database from on-premises to Amazon RDS using AWS DMS, you need to perform the following steps:
* Create an AWS DMS replication instance in the same AWS Region as your target Amazon RDS PostgreSQL DB instance. The replication instance is a server that runs the AWS DMS replication software and connects to your source and target endpoints. You can choose the instance type, storage, and network settings based on your migration requirements3
* Create a source endpoint that points to your on-premises PostgreSQL database. You need to provide the connection details, such as the server name, port, database name, user name, and password. You also need to specify the engine name as postgres and the SSL mode as required4
* Create a target endpoint that points to your Amazon RDS PostgreSQL DB instance. You need to provide the connection details, such as the server name, port, database name, user name, and password.
You also need to specify the engine name as postgres and the SSL mode as verify-full.
* Create a migration task that defines the migration settings and options, such as the replication instance, the source and target endpoints, the migration type (full load, full load and change data capture, or change data capture only), the table mappings, the task settings, and the task monitoring role. You can also use the AWS Schema Conversion Tool (AWS SCT) to convert your source schema to the target schema and apply it to the target endpoint before or after creating the migration task.
* Start the migration task and monitor its progress and status using the AWS DMS console, the AWS CLI, or the AWS DMS API. You can also use AWS CloudFormation to automate the creation and execution of the migration task.
The other options are not suitable for migrating a PostgreSQL database from on-premises to Amazon RDS.
Cloud Adoption Readiness Tool is a tool that helps you assess your readiness for cloud adoption based on six dimensions: business, people, process, platform, operations, and security. It does not perform any database migration tasks. AWS Migration Hub is a service that helps you track and manage the progress of your application migrations across multiple AWS and partner services, such as AWS DMS, AWS Application Migration Service, AWS Server Migration Service, and CloudEndure Migration. It does not perform any database migration tasks itself, but rather integrates with other migration services. AWS Application Migration Service is a service that helps you migrate your applications from your on-premises or cloud environment to AWS without making any changes to the applications, their architecture, or the migrated servers. It does not support database migration, but rather replicates your servers as Amazon Machine Images (AMIs) and launches them as EC2 instances on AWS.
References: AWS Database Migration Service, What is AWS Database Migration Service?, Working with an AWS DMS replication instance, Creating source and target endpoints for PostgreSQL, [Creating a target endpoint for Amazon RDS for PostgreSQL], [Creating a migration task for AWS DMS], [AWS Schema Conversion Tool], [Starting a migration task for AWS DMS], [AWS CloudFormation], [Cloud Adoption Readiness Tool], [AWS Migration Hub], [AWS Application Migration Service]


NEW QUESTION # 776
Which programming languages does AWS Cloud Development Kit (AWS CDK) currently support? (Select TWO.)

Answer: B,E

Explanation:
TheAWS Cloud Development Kit (AWS CDK)currently supports multiple programming languages, includingPythonandTypeScript. These languages allow developers to define cloud infrastructure using familiar programming constructs. Python and TypeScript are among the first languages supported by AWS CDK, which also supports Java, C#, and JavaScript. This enables developers to use their existing programming skills and tools to define cloud infrastructure in code.
B . Swift: Incorrect, as Swift is not currently supported by AWS CDK.
D . Ruby: Incorrect, as Ruby is not currently supported by AWS CDK.
E . PHP: Incorrect, as PHP is not currently supported by AWS CDK.
AWS Cloud Reference:
AWS Cloud Development Kit (AWS CDK)


NEW QUESTION # 777
A developer wants to use an Amazon S3 bucket to store application logs that contain sensitive data.
Which AWS service or feature should the developer use to restrict read and write access to the S3 bucket?

Answer: B

Explanation:
ACLs are an AWS service or feature that the developer can use to restrict read and write access to the S3 bucket. ACLs are access control lists that grant basic permissions to other AWS accounts or predefined groups. They can be used to grant read or write access to an S3 bucket or an object3. Security groups are virtual firewalls that control the inbound and outbound traffic for Amazon EC2 instances. They are not a service or feature that can be used to restrict access to an S3 bucket. Amazon CloudWatch is a service that provides monitoring and observability for AWS resources and applications. It can be used to collect and analyze metrics, logs, events, and alarms. It is not a service or feature that can be used to restrict access to an S3 bucket. AWS CloudTrail is a service that provides governance, compliance, and audit for AWS accounts and resources. It can be used to track and record the API calls and user activity in AWS. It is not a service or feature that can be used to restrict access to an S3 bucket.


NEW QUESTION # 778
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