Practice Free CLF-C02 Exam Online Questions
Question #11
Which pillar of the AWS Well-Architected Framework focuses on the return on investment of moving into the AWS Cloud?
- A . Sustainability
- B . Cost optimization
- C . Operational excellence
- D . Reliability
Correct Answer: B
B
Explanation:
Cost optimization is the pillar of the AWS Well-Architected Framework that focuses on the return on investment of moving into the AWS Cloud. Cost optimization means that users can achieve the desired business outcomes at the lowest possible price point, while maintaining high performance and reliability. Cost optimization can be achieved by using various AWS features and best practices, such as pay-as-you-go pricing, right-sizing, elasticity, reserved instances, spot instances, cost allocation tags, cost and usage reports, and AWS Trusted Advisor. [AWS Well-Architected Framework] AWS Certified Cloud Practitioner – aws.amazon.com
B
Explanation:
Cost optimization is the pillar of the AWS Well-Architected Framework that focuses on the return on investment of moving into the AWS Cloud. Cost optimization means that users can achieve the desired business outcomes at the lowest possible price point, while maintaining high performance and reliability. Cost optimization can be achieved by using various AWS features and best practices, such as pay-as-you-go pricing, right-sizing, elasticity, reserved instances, spot instances, cost allocation tags, cost and usage reports, and AWS Trusted Advisor. [AWS Well-Architected Framework] AWS Certified Cloud Practitioner – aws.amazon.com
Question #12
Which advantage of cloud computing allows users to scale resources up and down based on the amount of load that an application supports?
- A . Go global in minutes
- B . Stop guessing capacity
- C . Benefit from massive economies of scale
- D . Trade fixed expense for variable expense
Correct Answer: B
B
Explanation:
The ability to scale resources up and down based on application load is tied to the advantage of "Stop guessing capacity." This feature allows users to scale resources automatically to match the demand, thereby avoiding over-provisioning or under-provisioning of resources. "Go global in
minutes," "Benefit from massive economies of scale," and "Trade fixed expense for variable expense" are other advantages of cloud computing, but they do not specifically address scaling resources up and down based on load.
B
Explanation:
The ability to scale resources up and down based on application load is tied to the advantage of "Stop guessing capacity." This feature allows users to scale resources automatically to match the demand, thereby avoiding over-provisioning or under-provisioning of resources. "Go global in
minutes," "Benefit from massive economies of scale," and "Trade fixed expense for variable expense" are other advantages of cloud computing, but they do not specifically address scaling resources up and down based on load.
Question #13
A company needs to host a highly available application in the AWS Cloud. The application runs
infrequently for short periods of time.
Which AWS service will meet these requirements with the LEAST amount of operational overhead?
- A . Amazon EC2
- B . AWS Fargate
- C . AWS Lambda
- D . Amazon Aurora
Correct Answer: C
C
Explanation:
The AWS service that will meet the requirements of the company that needs to host a highly available application in the AWS Cloud that runs infrequently for short periods of time with the least amount of operational overhead is AWS Lambda. AWS Lambda is a serverless compute service that allows customers to run code without provisioning or managing servers. The company can use AWS Lambda to create and deploy their application as functions that are triggered by events, such as API calls, messages, or schedules. AWS Lambda automatically scales the compute resources based on the demand, and customers only pay for the compute time they consume. AWS Lambda also simplifies the management and maintenance of the application, as customers do not need to worry about the underlying infrastructure, security, or availability. Amazon EC2, AWS Fargate, and Amazon Aurora are not the best services to use for this purpose. Amazon EC2 is a service that provides scalable compute capacity in the cloud, and allows customers to launch and run virtual servers, called instances, with a variety of operating systems, configurations, and specifications. Amazon EC2 requires customers to provision and manage the instances, and pay for the instance hours they use, regardless of the application usage. AWS Fargate is a serverless compute engine for containers that allows customers to run containerized applications without managing servers or clusters. AWS Fargate requires customers to specify the amount of CPU and memory resources for each container, and pay for the resources they allocate, regardless of the application usage. Amazon Aurora is a fully managed relational database service that provides high performance, availability, and compatibility. Amazon Aurora is not a compute service, and it is not suitable for hosting an application that runs infrequently for short periods of time12
C
Explanation:
The AWS service that will meet the requirements of the company that needs to host a highly available application in the AWS Cloud that runs infrequently for short periods of time with the least amount of operational overhead is AWS Lambda. AWS Lambda is a serverless compute service that allows customers to run code without provisioning or managing servers. The company can use AWS Lambda to create and deploy their application as functions that are triggered by events, such as API calls, messages, or schedules. AWS Lambda automatically scales the compute resources based on the demand, and customers only pay for the compute time they consume. AWS Lambda also simplifies the management and maintenance of the application, as customers do not need to worry about the underlying infrastructure, security, or availability. Amazon EC2, AWS Fargate, and Amazon Aurora are not the best services to use for this purpose. Amazon EC2 is a service that provides scalable compute capacity in the cloud, and allows customers to launch and run virtual servers, called instances, with a variety of operating systems, configurations, and specifications. Amazon EC2 requires customers to provision and manage the instances, and pay for the instance hours they use, regardless of the application usage. AWS Fargate is a serverless compute engine for containers that allows customers to run containerized applications without managing servers or clusters. AWS Fargate requires customers to specify the amount of CPU and memory resources for each container, and pay for the resources they allocate, regardless of the application usage. Amazon Aurora is a fully managed relational database service that provides high performance, availability, and compatibility. Amazon Aurora is not a compute service, and it is not suitable for hosting an application that runs infrequently for short periods of time12
Question #14
Which AWS service provides the ability to host a NoSQL database in the AWS Cloud?
- A . Amazon Aurora
- B . Amazon DynamoDB
- C . Amazon RDS
- D . Amazon Redshift
Correct Answer: B
B
Explanation:
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. It supports both key-value and document data models, and allows you to create tables that can store and retrieve any amount of data, and serve any level of request traffic. You can also use DynamoDB Streams to capture data modification events in DynamoDB tables.
B
Explanation:
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. It supports both key-value and document data models, and allows you to create tables that can store and retrieve any amount of data, and serve any level of request traffic. You can also use DynamoDB Streams to capture data modification events in DynamoDB tables.
10 1. What is the total amount of storage offered by Amazon S3?
Question #15
Which AWS service should a cloud engineer use to view API calls to AWS services?
- A . Amazon CloudWatch
- B . AWS CloudTrail
- C . AWS Config
- D . AWS Artifact
Correct Answer: B
B
Explanation:
The correct answer is B because AWS CloudTrail is an AWS service that a cloud engineer can use to view API calls to AWS services. AWS CloudTrail is a service that enables customers to track user
activity and API usage across their 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. Customers can use AWS CloudTrail to audit, monitor, and troubleshoot their AWS resources and actions. The other options are incorrect because they are not AWS services that a cloud engineer can use to view API calls to AWS services. Amazon CloudWatch is an AWS service that enables customers to collect, analyze, and visualize metrics, logs, and events from their AWS resources and applications. AWS Config is an AWS service that enables customers to assess, audit, and evaluate the configurations of their AWS resources. AWS Artifact is an AWS service that provides customers with on-demand access to AWS compliance reports and select online agreements.
Reference: AWS CloudTrail FAQs
B
Explanation:
The correct answer is B because AWS CloudTrail is an AWS service that a cloud engineer can use to view API calls to AWS services. AWS CloudTrail is a service that enables customers to track user
activity and API usage across their 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. Customers can use AWS CloudTrail to audit, monitor, and troubleshoot their AWS resources and actions. The other options are incorrect because they are not AWS services that a cloud engineer can use to view API calls to AWS services. Amazon CloudWatch is an AWS service that enables customers to collect, analyze, and visualize metrics, logs, and events from their AWS resources and applications. AWS Config is an AWS service that enables customers to assess, audit, and evaluate the configurations of their AWS resources. AWS Artifact is an AWS service that provides customers with on-demand access to AWS compliance reports and select online agreements.
Reference: AWS CloudTrail FAQs
Question #16
Which AWS Support plan provides the full set to AWS Trusted Advisor checks at the LOWEST cost?
- A . AWS Developer Support
- B . AWS Business Support
- C . AWS Enterprise On-Ramp Support
- D . AWS Enterprise Support
Correct Answer: B
B
Explanation:
AWS Trusted Advisor is a tool that helps customers optimize their AWS environment by providing real-time guidance in five key areas: cost optimization, performance, security, fault tolerance, and service limits. However, the availability of the full set of Trusted Advisor checks depends on the AWS Support plan chosen.
AWS Developer Support: This plan provides access to only seven core Trusted Advisor checks. It is designed for developers experimenting or testing in AWS and does not offer the full set of Trusted Advisor checks.
AWS Business Support: This plan is the lowest-cost support plan that provides access to the full set of AWS Trusted Advisor checks. Business Support is intended for production workloads, providing a broader range of checks, 24×7 access to Cloud Support Engineers, and more extensive support features.
AWS Enterprise On-Ramp Support: This plan offers access to all Trusted Advisor checks as well but is more expensive than the Business Support plan. It is designed for customers running production workloads and needing additional technical support but does not require the full level of engagement that comes with Enterprise Support.
AWS Enterprise Support: This is the most comprehensive and highest-cost support plan, providing access to all Trusted Advisor checks and a full range of AWS Support resources, including a Technical Account Manager (TAM), account management, concierge support, and more. Conclusion:
The correct answer is B. AWS Business Support, as it provides access to the full set of AWS Trusted Advisor checks at the lowest cost. AWS Developer Support does not offer the complete checks, and both AWS Enterprise On-Ramp and AWS Enterprise Support are higher-cost plans that also provide the full checks.
AWS Cloud References:
AWS Support Plans
AWS Trusted Advisor
B
Explanation:
AWS Trusted Advisor is a tool that helps customers optimize their AWS environment by providing real-time guidance in five key areas: cost optimization, performance, security, fault tolerance, and service limits. However, the availability of the full set of Trusted Advisor checks depends on the AWS Support plan chosen.
AWS Developer Support: This plan provides access to only seven core Trusted Advisor checks. It is designed for developers experimenting or testing in AWS and does not offer the full set of Trusted Advisor checks.
AWS Business Support: This plan is the lowest-cost support plan that provides access to the full set of AWS Trusted Advisor checks. Business Support is intended for production workloads, providing a broader range of checks, 24×7 access to Cloud Support Engineers, and more extensive support features.
AWS Enterprise On-Ramp Support: This plan offers access to all Trusted Advisor checks as well but is more expensive than the Business Support plan. It is designed for customers running production workloads and needing additional technical support but does not require the full level of engagement that comes with Enterprise Support.
AWS Enterprise Support: This is the most comprehensive and highest-cost support plan, providing access to all Trusted Advisor checks and a full range of AWS Support resources, including a Technical Account Manager (TAM), account management, concierge support, and more. Conclusion:
The correct answer is B. AWS Business Support, as it provides access to the full set of AWS Trusted Advisor checks at the lowest cost. AWS Developer Support does not offer the complete checks, and both AWS Enterprise On-Ramp and AWS Enterprise Support are higher-cost plans that also provide the full checks.
AWS Cloud References:
AWS Support Plans
AWS Trusted Advisor
Question #17
Which perspective in the AWS Cloud Adoption Framework (AWS CAF) includes a capability for well-designed data and analytics architecture?
- A . Security
- B . Governance
- C . Operations
- D . Platform
Correct Answer: C
C
Explanation:
The correct answer is D. Platform.
The Platform perspective in the AWS Cloud Adoption Framework (AWS CAF) includes a capability for well-designed data and analytics architecture. This capability helps you design, implement, and optimize your data and analytics solutions on AWS, using services such as Amazon S3, Amazon Redshift, Amazon EMR, Amazon Kinesis, Amazon Athena, and Amazon QuickSight. A well-designed data and analytics architecture enables you to collect, store, process, analyze, and visualize data from various sources, and derive insights that can drive your business decisions12.
The Security perspective does not include a capability for data and analytics architecture, but it does include a capability for data protection, which helps you secure your data at rest and in transit using encryption, key management, access control, and auditing13.
The Governance perspective does not include a capability for data and analytics architecture, but it does include a capability for data governance, which helps you manage the quality, availability, usability, integrity, and security of your data assets14.
The Operations perspective does not include a capability for data and analytics architecture, but it does include a capability for data operations, which helps you monitor, troubleshoot, and optimize the performance and availability of your data pipelines and workloads1.
References: 1: Foundational capabilities – An Overview of the AWS Cloud Adoption Framework 2: [AWS Cloud Adoption Framework: Platform Perspective] 3: [AWS Cloud Adoption Framework: Security Perspective] 4: [AWS Cloud Adoption Framework: Governance Perspective] : [AWS Cloud Adoption Framework: Operations Perspective]
C
Explanation:
The correct answer is D. Platform.
The Platform perspective in the AWS Cloud Adoption Framework (AWS CAF) includes a capability for well-designed data and analytics architecture. This capability helps you design, implement, and optimize your data and analytics solutions on AWS, using services such as Amazon S3, Amazon Redshift, Amazon EMR, Amazon Kinesis, Amazon Athena, and Amazon QuickSight. A well-designed data and analytics architecture enables you to collect, store, process, analyze, and visualize data from various sources, and derive insights that can drive your business decisions12.
The Security perspective does not include a capability for data and analytics architecture, but it does include a capability for data protection, which helps you secure your data at rest and in transit using encryption, key management, access control, and auditing13.
The Governance perspective does not include a capability for data and analytics architecture, but it does include a capability for data governance, which helps you manage the quality, availability, usability, integrity, and security of your data assets14.
The Operations perspective does not include a capability for data and analytics architecture, but it does include a capability for data operations, which helps you monitor, troubleshoot, and optimize the performance and availability of your data pipelines and workloads1.
References: 1: Foundational capabilities – An Overview of the AWS Cloud Adoption Framework 2: [AWS Cloud Adoption Framework: Platform Perspective] 3: [AWS Cloud Adoption Framework: Security Perspective] 4: [AWS Cloud Adoption Framework: Governance Perspective] : [AWS Cloud Adoption Framework: Operations Perspective]
Question #18
A company needs to create and publish interactive business intelligence dashboards. The dashboards require insights that are powered by machine learning .
Which AWS service or tool will meet these requirements?
- A . AWS Glue Studio
- B . Amazon QuickSight
- C . Amazon Redshift
- D . Amazon Athena
Correct Answer: B
B
Explanation:
Amazon QuickSight is a scalable, serverless, machine learning-powered business intelligence (BI) service built for the cloud. It allows users to create and publish interactive dashboards with insights powered by machine learning, such as anomaly detection and forecasting. This makes it the best option for creating interactive BI dashboards that require machine learning insights.
B
Explanation:
Amazon QuickSight is a scalable, serverless, machine learning-powered business intelligence (BI) service built for the cloud. It allows users to create and publish interactive dashboards with insights powered by machine learning, such as anomaly detection and forecasting. This makes it the best option for creating interactive BI dashboards that require machine learning insights.
Question #19
A company is running a workload in the AWS Cloud.
Which AWS best practice ensures the MOST cost-effective architecture for the workload?
- A . Loose coupling
- B . Rightsizing
- C . Caching
- D . Redundancy
Correct Answer: A
A
Explanation:
The AWS best practice that ensures the most cost-effective architecture for the workload is rightsizing. Rightsizing means selecting the most appropriate instance type or resource configuration that matches the needs of the workload. Rightsizing can help optimize performance and reduce costs by avoiding over-provisioning or under-provisioning of resources 1. Loose coupling, caching, and redundancy are other AWS best practices that can improve the scalability, availability, and performance of the workload, but they do not necessarily ensure the most cost-effective architecture.
A
Explanation:
The AWS best practice that ensures the most cost-effective architecture for the workload is rightsizing. Rightsizing means selecting the most appropriate instance type or resource configuration that matches the needs of the workload. Rightsizing can help optimize performance and reduce costs by avoiding over-provisioning or under-provisioning of resources 1. Loose coupling, caching, and redundancy are other AWS best practices that can improve the scalability, availability, and performance of the workload, but they do not necessarily ensure the most cost-effective architecture.
Question #20
A company Is designing its AWS workloads so that components can be updated regularly and so that changes can be made in small, reversible increments.
Which pillar of the AWS Well-Architected Framework does this design support?
- A . Security
- B . Performance efficiency
- C . Operational excellence
- D . Reliability
Correct Answer: C
C
Explanation:
Understanding Operational Excellence: The Operational Excellence pillar of the AWS Well-Architected Framework focuses on running and monitoring systems to deliver business value and continuously improving supporting processes and procedures. Key Concepts of Operational Excellence:
Small, Reversible Changes: Making changes in small, incremental steps allows for easier troubleshooting and rollback if issues arise.
Regular Updates: Regularly updating components ensures that systems stay up-to-date with the latest features, security patches, and performance improvements.
Automation: Implementing automation for deployments, updates, and monitoring to reduce human error and increase efficiency.
Continuous Improvement: Encouraging continuous learning and process improvement to enhance operational processes.
Implementing Operational Excellence:
Deployment Automation: Use CI/CD pipelines to automate deployments and ensure that changes can be rolled back if necessary.
Monitoring and Logging: Implement comprehensive monitoring and logging to track system health and performance.
Incident Response: Develop a robust incident response plan to handle issues quickly and efficiently.
Documentation and Training: Maintain thorough documentation and provide training to ensure teams can effectively manage and improve operations.
References: AWS Well-Architected Framework: Operational Excellence Pillar
C
Explanation:
Understanding Operational Excellence: The Operational Excellence pillar of the AWS Well-Architected Framework focuses on running and monitoring systems to deliver business value and continuously improving supporting processes and procedures. Key Concepts of Operational Excellence:
Small, Reversible Changes: Making changes in small, incremental steps allows for easier troubleshooting and rollback if issues arise.
Regular Updates: Regularly updating components ensures that systems stay up-to-date with the latest features, security patches, and performance improvements.
Automation: Implementing automation for deployments, updates, and monitoring to reduce human error and increase efficiency.
Continuous Improvement: Encouraging continuous learning and process improvement to enhance operational processes.
Implementing Operational Excellence:
Deployment Automation: Use CI/CD pipelines to automate deployments and ensure that changes can be rolled back if necessary.
Monitoring and Logging: Implement comprehensive monitoring and logging to track system health and performance.
Incident Response: Develop a robust incident response plan to handle issues quickly and efficiently.
Documentation and Training: Maintain thorough documentation and provide training to ensure teams can effectively manage and improve operations.
References: AWS Well-Architected Framework: Operational Excellence Pillar