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Amazon CLF-C02 Exam Syllabus Topics:

SectionWeightObjectives
Security and Compliance30%- Define the AWS shared responsibility model
- Identify resources for security support
- Identify AWS access management capabilities
- Define AWS Cloud security and compliance concepts
Cloud Technology and Services34%- Define the AWS global infrastructure
- Identify resources for technology support
- Identify the core AWS services
  • 1. Storage
  • 2. Network
  • 3. Compute
  • 4. Database
- Define methods of deploying and operating in the AWS Cloud
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
Cloud Concepts24%- Identify aspects of AWS Cloud economics
- Explain the different cloud architecture design principles
- Define the AWS Cloud and its value proposition

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Amazon AWS Certified Cloud Practitioner Sample Questions (Q251-Q256):

NEW QUESTION # 251
Which AWS service is a cloud security posture management (CSPM) service that aggregates alerts from various AWS services and partner products in a standardized format?

Answer: B

Explanation:
AWS Security Hub is a cloud security posture management (CSPM) service that performs security best practice checks, aggregates alerts, and enables automated remediation. Security Hub collects findings from the security services enabled across your AWS accounts, such as intrusion detection findings from Amazon GuardDuty, vulnerability scans from Amazon Inspector, and sensitive data identification findings from Amazon Macie. Security Hub also collects findings from partner security products using a standardized AWS Security Finding Format, eliminating the need for time-consuming data parsing and normalization efforts. Customers can designate an administrator account that can access all findings across their accounts. Reference: AWS Security Hub Overview, AWS Security Hub FAQs


NEW QUESTION # 252
A company's information security manager is supervising a move to AWS and wants to ensure that AWS best practices are followed. The manager has concerns about the potential misuse of AWS account root user credentials.
Which of the following is an AWS best practice for using the AWS account root user credentials?

Answer: C

Explanation:
The AWS best practice for using the AWS account root user credentials is to use them only when they alone must be used to perform a required function. The AWS account root user credentials have full access to all the resources in the account, and therefore pose a security risk if compromised or misused. You should create individual IAM users with the minimum necessary permissions for everyday tasks, and use AWS Organizations to manage multiple accounts. You should also enable multi-factor authentication (MFA) and rotate the password for the root user regularly. Some of the functions that require the root user credentials are changing the account name, closing the account, changing the support plan, and restoring an IAM user's access.


NEW QUESTION # 253
A company needs to host a web server on Amazon EC2 instances for at least 1 year. The web server cannot tolerate interruption.
Which EC2 instance purchasing option will meet these requirements MOST cost-effectively?

Answer: B

Explanation:
Explanation
The most cost-effective EC2 instance purchasing option for the company that needs to host a web server on Amazon EC2 instances for at least 1 year and cannot tolerate interruption is Partial Upfront Reserved Instances. Reserved Instances are a pricing model that offer significant discounts compared to On-Demand Instances in exchange for a commitment to use a specific amount of compute capacity for a fixed period of time (1 or 3 years). Partial Upfront Reserved Instances require customers to pay a portion of the total cost upfront, and the remaining cost in monthly installments over the term. This option offers a lower effective hourly rate than No Upfront Reserved Instances, which require no upfront payment but have higher monthly payments. On-Demand Instances and Spot Instances are not the best options for the company. On-Demand Instances are a pricing model that offer the most flexibility and no long-term commitment, but have the highest hourly rate. Spot Instances are a pricing model that offer the lowest cost, but are subject to interruption based on supply and demand34


NEW QUESTION # 254
Which AWS services can a company use to host and run a MySQL database? (Select TWO.)

Answer: C,D

Explanation:
Explanation
Amazon RDS and Amazon EC2 are two AWS services that you can use to host and run a MySQL database.
Amazon RDS is a service that makes it easy to set up, operate, and scale a relational database in the cloud. You can use Amazon RDS to launch a MySQL database instance and let Amazon RDS manage common database tasks such as backups, patching, scaling, and replication6. Amazon EC2 is a service that provides secure, resizable compute capacity in the cloud. You can use Amazon EC2 to launch a virtual server and install MySQL software on it. You have complete control over your database configuration, but you are responsible for managing and maintaining the database software and the underlying infrastructure7. Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. Amazon S3 is an object storage service that offers industry-leading scalability, data availability, security, and performance. Amazon MQ is a managed message broker service for Apache ActiveMQ. None of these services can help you host and run a MySQL database.


NEW QUESTION # 255
A developer needs to build an application for a retail company. The application must provide real-time product recommendations that are based on machine learning.
Which AWS service should the developer use to meet this requirement?

Answer: D

Explanation:
Amazon Personalize is a fully managed machine learning service that customers can use to generate personalized recommendations for their users. It can also generate user segments based on the users' affinity for certain items or item metadata. Amazon Personalize uses the customers' data to train and deploy custom recommendation models that can be integrated into their applications. Therefore, the correct answer is B. You can learn more about Amazon Personalize and its use case.


NEW QUESTION # 256
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