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CLF-C02 Test Question | Latest CLF-C02 Test Prep
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The AWS Certified Cloud Practitioner (CLF-C02) exam questions can help you gain the high-in-demand skills and credentials you need to pursue a rewarding career. To do this you just need to pass the AWS Certified Cloud Practitioner (CLF-C02) certification exam which is not easy to crack. You have to put in some extra effort, and time and prepare thoroughly to pass the AWS Certified Cloud Practitioner (CLF-C02) exam. For the quick, complete, and comprehensive AWS Certified Cloud Practitioner (CLF-C02) exam dumps preparation you can get help from top-notch and easy-to-use CLF-C02 Questions.
Amazon CLF-C02 Exam Syllabus Topics:
Topic
Details
Topic 1
- 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.
Topic 2
- 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.
Topic 3
- 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.
Topic 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.
Amazon AWS Certified Cloud Practitioner Sample Questions (Q180-Q185):
NEW QUESTION # 180
Which benefit of the AWS Cloud helps companies achieve lower usage costs because of the aggregate usage of all AWS users?
- A. Ability to go global in minutes
- B. No need to guess capacity
- C. Increased speed and agility
- D. Economies of scale
Answer: D
Explanation:
Explanation
The benefit of the AWS Cloud that helps companies achieve lower usage costs because of the aggregate usage of all AWS users is economies of scale. Economies of scale means that AWS can achieve lower costs and higher efficiency by operating at a massive scale and passing the savings to the customers. AWS leverages the aggregate usage of all AWS users to negotiate better prices with hardware vendors, optimize power consumption, and improve operational processes. As a result, AWS can offer lower and more flexible pricing options to the customers, such as pay-as-you-go, reserved, and spot pricing models. No need to guess capacity, ability to go global in minutes, and increased speed and agility are other benefits of the AWS Cloud, but they are not directly related to the aggregate usage of all AWS users. No need to guess capacity means that AWS customers can avoid the risk of over-provisioning or under-provisioning resources, and scale up or down as needed. Ability to go global in minutes means that AWS customers can deploy their applications and data in multiple regions around the world, and deliver them to users with high performance and availability. Increased speed and agility means that AWS customers can quickly and easily provision and access AWS resources, and accelerate their innovation and time to market.
NEW QUESTION # 181
What can a user accomplish using AWS CloudTrail?
- A. Ensure that Amazon EC2 instances are patched with the latest security updates.
A company uses Amazon Workspaces. - B. Assess the compliance of AWS resource configurations with policies and guidelines.
- C. Generate an IAM user credentials report.
- D. Record API calls made to AWS services.
Answer: D
Explanation:
AWS CloudTrail is an AWS service that enables users to accomplish the task of recording API calls made to AWS services. AWS CloudTrail is a service that tracks user activity and API usage across the AWS account.
AWS CloudTrail records the details of every API call made to AWS services, such as the identity of the caller, the time of the call, the source IP address of the caller, the parameters and responses of the call, and more.
Users can use AWS CloudTrail to audit, monitor, and troubleshoot their AWS resources and actions. The other options are incorrect because they are not tasks that users can accomplish using AWS CloudTrail. Generating an IAM user credentials report is a task that users can accomplish using IAM, which is an AWS service that enables users to manage access and permissions to AWS resources and services. Assessing the compliance of AWS resource configurations with policies and guidelines is a task that users can accomplish using AWS Config, which is an AWS service that enables users to assess, audit, and evaluate the configurations of their AWS resources. Ensuring that Amazon EC2 instances are patched with the latest security updates is a task that users can accomplish using AWS Systems Manager, which is an AWS service that enables users to automate operational tasks, manage configuration and compliance, and monitor system health and performance.
Reference: AWS CloudTrail FAQs
NEW QUESTION # 182
Which services can be used to deploy applications on AWS? (Select TWO.)
- A. AWS Elastic Beanstalk
- B. AWS OpsWorks
- C. AWS Config
- D. AWS Application Discovery Service
- E. Amazon Kinesis
Answer: A,B
Explanation:
The services that can be used to deploy applications on AWS are:
* AWS Elastic Beanstalk. This is a service that simplifies the deployment and management of web applications on AWS. Users can upload their application code and Elastic Beanstalk automatically handles the provisioning, scaling, load balancing, monitoring, and health checking of the resources needed to run the application. Users can also retain full control and access to the underlying resources and customize their configuration settings. Elastic Beanstalk supports multiple platforms, such as Java, .
NET, PHP, Node.js, Python, Ruby, Go, and Docker. [AWS Elastic Beanstalk Overview] AWS Certified Cloud Practitioner - aws.amazon.com
* AWS OpsWorks. This is a service that provides configuration management and automation for AWS resources. Users can define the application architecture and the configuration of each resource using Chef or Puppet, which are popular open-source automation platforms. OpsWorks then automatically creates and configures the resources according to the user's specifications. OpsWorks also provides features such as auto scaling, monitoring, and integration with other AWS services. OpsWorks has two offerings: OpsWorks for Chef Automate and OpsWorks for Puppet Enterprise. [AWS OpsWorks Overview] AWS Certified Cloud Practitioner - aws.amazon.com
NEW QUESTION # 183
Which database engine is compatible with Amazon RDS?
- A. Apache Cassandra
- B. PostgreSQL
- C. Neo4j
- D. MongoDB
Answer: B
Explanation:
Amazon RDS supports six database engines: Amazon Aurora, MySQL, MariaDB, PostgreSQL, Oracle, and SQL Server. Apache Cassandra, MongoDB, and Neo4j are not compatible with Amazon RDS. Therefore, the correct answer is D. You can learn more about Amazon RDS and its supported database engines
NEW QUESTION # 184
A company wants to migrate its PostgreSQL database to AWS. The company does not use the database frequently.
Which AWS service or resource will meet these requirements with the LEAST management overhead?
- A. Amazon Aurora Serverless
- B. PostgreSQL on Amazon EC2
- C. Amazon RDS for PostgreSQL
- D. Amazon Aurora PostgreSQL-Compatible Edition
Answer: A
Explanation:
Amazon Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora PostgreSQL-Compatible Edition. It is a fully managed service that automatically scales up and down based on the application's actual needs. Amazon Aurora Serverless is suitable for applications that have infrequent, intermittent, or unpredictable database workloads, and that do not require the full power and range of options provided by provisioned Aurora clusters. Amazon Aurora Serverless eliminates the need to provision and manage database instances, and reduces the management overhead associated with database administration tasks such as scaling, patching, backup, and recovery. References: Amazon Aurora Serverless, Choosing between Aurora Serverless and provisioned Aurora DB clusters, [AWS Cloud Practitioner Essentials: Module
4 - Databases in the Cloud]
NEW QUESTION # 185
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