Practice Free CLF-C02 Exam Online Questions
Question #81
A company wants to automatically add and remove Amazon EC2 instances. The company wants the EC2 instances to adjust to varying workloads dynamically .
Which service or feature will meet these requirements?
- A . Amazon DynamoDB
- B . Amazon EC2 Spot Instances
- C . AWS Snow Family
- D . Amazon EC2 Auto Scaling
Correct Answer: D
D
Explanation:
Amazon EC2 Auto Scaling is a service that helps you maintain application availability and allows you to automatically add or remove EC2 instances according to definable conditions. You can create collections of EC2 instances, called Auto Scaling groups, and specify the minimum and maximum number of instances in each group. You can also define scaling policies that adjust the number of instances based on the demand on your application. Amazon EC2 Auto Scaling helps you improve the performance, reliability, and cost-efficiency of your EC2 workloads123.
References: 1: VDI Desktops – Amazon WorkSpaces Family – AWS, 2: What is Amazon EC2 Auto Scaling? – Amazon EC2 Auto Scaling, 3: Discover Amazon EC2 Auto Scaling Unit | Salesforce Trailhead
D
Explanation:
Amazon EC2 Auto Scaling is a service that helps you maintain application availability and allows you to automatically add or remove EC2 instances according to definable conditions. You can create collections of EC2 instances, called Auto Scaling groups, and specify the minimum and maximum number of instances in each group. You can also define scaling policies that adjust the number of instances based on the demand on your application. Amazon EC2 Auto Scaling helps you improve the performance, reliability, and cost-efficiency of your EC2 workloads123.
References: 1: VDI Desktops – Amazon WorkSpaces Family – AWS, 2: What is Amazon EC2 Auto Scaling? – Amazon EC2 Auto Scaling, 3: Discover Amazon EC2 Auto Scaling Unit | Salesforce Trailhead
Question #82
A company wants to move its data warehouse application to the AWS Cloud. The company wants to run and scale its analytics services without needing to provision and manage data warehouse clusters.
Which AWS service will meet these requirements?
- A . Amazon Redshift provisioned data warehouse
- B . Amazon Redshift Serverless
- C . Amazon Athena
- D . Amazon S3
Correct Answer: B
B
Explanation:
Amazon Redshift Serverless is the AWS service that will meet the requirements of the company that
wants to move its data warehouse application to the AWS Cloud and run and scale its analytics services without needing to provision and manage data warehouse clusters. Amazon Redshift Serverless is a new feature of Amazon Redshift, which is a fully managed data warehouse service that allows customers to run complex queries and analytics on large volumes of structured and semi-structured data. Amazon Redshift Serverless automatically scales the compute and storage resources based on the workload demand, and customers only pay for the resources they consume. Amazon Redshift Serverless also simplifies the management and maintenance of the data warehouse, as customers do not need to worry about choosing the right cluster size, resizing the cluster, or distributing the data across the nodes. Amazon Redshift provisioned data warehouse, Amazon Athena, and Amazon S3 are not the best services to meet the requirements of the company. Amazon Redshift provisioned data warehouse requires customers to choose the number and type of nodes for their cluster, and manually resize the cluster if their workload changes. Amazon Athena is a serverless query service that allows customers to analyze data stored in Amazon S3 using standard SQL, but it is not a data warehouse service that can store and organize the data. Amazon S3 is a scalable object storage service that can store any amount and type of data, but it is not a data warehouse service that can run complex queries and analytics on the data.
B
Explanation:
Amazon Redshift Serverless is the AWS service that will meet the requirements of the company that
wants to move its data warehouse application to the AWS Cloud and run and scale its analytics services without needing to provision and manage data warehouse clusters. Amazon Redshift Serverless is a new feature of Amazon Redshift, which is a fully managed data warehouse service that allows customers to run complex queries and analytics on large volumes of structured and semi-structured data. Amazon Redshift Serverless automatically scales the compute and storage resources based on the workload demand, and customers only pay for the resources they consume. Amazon Redshift Serverless also simplifies the management and maintenance of the data warehouse, as customers do not need to worry about choosing the right cluster size, resizing the cluster, or distributing the data across the nodes. Amazon Redshift provisioned data warehouse, Amazon Athena, and Amazon S3 are not the best services to meet the requirements of the company. Amazon Redshift provisioned data warehouse requires customers to choose the number and type of nodes for their cluster, and manually resize the cluster if their workload changes. Amazon Athena is a serverless query service that allows customers to analyze data stored in Amazon S3 using standard SQL, but it is not a data warehouse service that can store and organize the data. Amazon S3 is a scalable object storage service that can store any amount and type of data, but it is not a data warehouse service that can run complex queries and analytics on the data.
Question #83
A company wants to migrate its Microsoft SQL Server database management system from on premises to the AWS Cloud.
Which AWS service should the company use to reduce management overhead for this environment?
- A . Amazon Elastic Container Service (Amazon ECS)
- B . Amazon SageMaker
- C . Amazon RDS
- D . Amazon Athena
Correct Answer: C
C
Explanation:
Amazon Relational Database Service (Amazon RDS) is the AWS service that the company should use to migrate its Microsoft SQL Server database management system from on premises to the AWS Cloud. Amazon RDS is a fully managed service that provides a scalable, secure, and high-performance relational database platform. Amazon RDS supports several database engines, including Microsoft SQL Server. Amazon RDS reduces the management overhead for the database environment by taking care of tasks such as provisioning, patching, backup, recovery, and monitoring. For more information, see What is Amazon Relational Database Service (Amazon RDS)? and Amazon RDS for SQL Server.
C
Explanation:
Amazon Relational Database Service (Amazon RDS) is the AWS service that the company should use to migrate its Microsoft SQL Server database management system from on premises to the AWS Cloud. Amazon RDS is a fully managed service that provides a scalable, secure, and high-performance relational database platform. Amazon RDS supports several database engines, including Microsoft SQL Server. Amazon RDS reduces the management overhead for the database environment by taking care of tasks such as provisioning, patching, backup, recovery, and monitoring. For more information, see What is Amazon Relational Database Service (Amazon RDS)? and Amazon RDS for SQL Server.
Question #84
A company is preparing to launch a redesigned website on AWS. Users from around the world will download digital handbooks from the website.
Which AWS solution should the company use to provide these static files securely?
- A . Amazon Kinesis Data Streams
- B . Amazon CloudFront with Amazon S3
- C . Amazon EC2 instances with an Application Load Balancer
- D . Amazon Elastic File System (Amazon EFS)
Correct Answer: B
B
Explanation:
Amazon CloudFront with Amazon S3 is a solution that allows you to provide static files securely to users from around the world. Amazon CloudFront is a fast content delivery network (CDN) service that securely delivers data, videos, applications, and APIs to customers globally with low latency, high transfer speeds, all within a developer-friendly environment. Amazon S3 is an object storage service that offers industry-leading scalability, data availability, security, and performance. You can use Amazon S3 to store and retrieve any amount of data from anywhere. You can also configure Amazon S3 to work with Amazon CloudFront to distribute your content to edge locations near your users for faster delivery and lower latency. Amazon Kinesis Data Streams is a service that enables you to build custom applications that process or analyze streaming data for specialized needs. This option is not relevant for providing static files securely. Amazon EC2 instances with an Application Load Balancer is a solution that allows you to distribute incoming traffic across multiple targets, such as EC2 instances, in multiple Availability Zones. This option is suitable for dynamic web applications, but not necessary for static files. Amazon Elastic File System (Amazon EFS) is a service that provides a simple, scalable, fully managed elastic NFS file system for use with AWS Cloud services and on-premises resources. This option is not relevant for providing static files securely.
B
Explanation:
Amazon CloudFront with Amazon S3 is a solution that allows you to provide static files securely to users from around the world. Amazon CloudFront is a fast content delivery network (CDN) service that securely delivers data, videos, applications, and APIs to customers globally with low latency, high transfer speeds, all within a developer-friendly environment. Amazon S3 is an object storage service that offers industry-leading scalability, data availability, security, and performance. You can use Amazon S3 to store and retrieve any amount of data from anywhere. You can also configure Amazon S3 to work with Amazon CloudFront to distribute your content to edge locations near your users for faster delivery and lower latency. Amazon Kinesis Data Streams is a service that enables you to build custom applications that process or analyze streaming data for specialized needs. This option is not relevant for providing static files securely. Amazon EC2 instances with an Application Load Balancer is a solution that allows you to distribute incoming traffic across multiple targets, such as EC2 instances, in multiple Availability Zones. This option is suitable for dynamic web applications, but not necessary for static files. Amazon Elastic File System (Amazon EFS) is a service that provides a simple, scalable, fully managed elastic NFS file system for use with AWS Cloud services and on-premises resources. This option is not relevant for providing static files securely.
Question #85
Which design principle is included in the operational excellence pillar of the AWS Well-Architected Framework?
- A . Create annotated documentation.
- B . Anticipate failure.
- C . Ensure performance efficiency.
- D . Optimize costs.
Correct Answer: A
A
Explanation:
Create annotated documentation is the design principle that is included in the operational excellence pillar of the AWS Well-Architected Framework. According to the AWS Well-Architected Framework whitepaper, creating annotated documentation means "documenting your workload so that the team understands the architecture, how to operate the workload, and how the workload delivers value to customers."3 Anticipate failure, ensure performance efficiency, and optimize costs are design principles that belong to other pillars of the AWS Well-Architected Framework, such as reliability, performance efficiency, and cost optimization.
A
Explanation:
Create annotated documentation is the design principle that is included in the operational excellence pillar of the AWS Well-Architected Framework. According to the AWS Well-Architected Framework whitepaper, creating annotated documentation means "documenting your workload so that the team understands the architecture, how to operate the workload, and how the workload delivers value to customers."3 Anticipate failure, ensure performance efficiency, and optimize costs are design principles that belong to other pillars of the AWS Well-Architected Framework, such as reliability, performance efficiency, and cost optimization.
Question #86
According to security best practices, how should an Amazon EC2 instance be given access to an Amazon S3 bucket?
- A . Hard code an IAM user’s secret key and access key directly in the application, and upload the file.
- B . Store the IAM user’s secret key and access key in a text file on the EC2 instance, read the keys, then upload the file.
- C . Have the EC2 instance assume a role to obtain the privileges to upload the file.
- D . Modify the S3 bucket policy so that any service can upload to it at any time.
Correct Answer: C
C
Explanation:
According to security best practices, the best way to give an Amazon EC2 instance access to an Amazon S3 bucket is to have the EC2 instance assume a role to obtain the privileges to upload the file. A role is an AWS Identity and Access Management (IAM) entity that defines a set of permissions for making AWS service requests. You can use roles to delegate access to users, applications, or services that don’t normally have access to your AWS resources. For example, you can create a role that allows EC2 instances to access S3 buckets, and then attach the role to the EC2 instance. This way, the EC2 instance can assume the role and obtain temporary security credentials to access the S3 bucket. This method is more secure and scalable than storing or hardcoding IAM user credentials on the EC2 instance, as it avoids the risk of exposing or compromising the credentials. It also allows you to manage the permissions centrally and dynamically, and to audit the access using AWS CloudTrail. For more information on how to create and use roles for EC2 instances, see Using an IAM role to grant permissions to applications running on Amazon EC2 instances1
The other options are not recommended for security reasons. Hardcoding or storing IAM user credentials on the EC2 instance is a bad practice, as it exposes the credentials to potential attackers or unauthorized users who can access the instance or the application code. It also makes it difficult to rotate or revoke the credentials, and to track the usage of the credentials. Modifying the S3 bucket policy to allow any service to upload to it at any time is also a bad practice, as it opens the bucket to potential data breaches, data loss, or data corruption. It also violates the principle of least privilege, which states that you should grant only the minimum permissions necessary for a task.
References: Using an IAM role to grant permissions to applications running on Amazon EC2 instances
C
Explanation:
According to security best practices, the best way to give an Amazon EC2 instance access to an Amazon S3 bucket is to have the EC2 instance assume a role to obtain the privileges to upload the file. A role is an AWS Identity and Access Management (IAM) entity that defines a set of permissions for making AWS service requests. You can use roles to delegate access to users, applications, or services that don’t normally have access to your AWS resources. For example, you can create a role that allows EC2 instances to access S3 buckets, and then attach the role to the EC2 instance. This way, the EC2 instance can assume the role and obtain temporary security credentials to access the S3 bucket. This method is more secure and scalable than storing or hardcoding IAM user credentials on the EC2 instance, as it avoids the risk of exposing or compromising the credentials. It also allows you to manage the permissions centrally and dynamically, and to audit the access using AWS CloudTrail. For more information on how to create and use roles for EC2 instances, see Using an IAM role to grant permissions to applications running on Amazon EC2 instances1
The other options are not recommended for security reasons. Hardcoding or storing IAM user credentials on the EC2 instance is a bad practice, as it exposes the credentials to potential attackers or unauthorized users who can access the instance or the application code. It also makes it difficult to rotate or revoke the credentials, and to track the usage of the credentials. Modifying the S3 bucket policy to allow any service to upload to it at any time is also a bad practice, as it opens the bucket to potential data breaches, data loss, or data corruption. It also violates the principle of least privilege, which states that you should grant only the minimum permissions necessary for a task.
References: Using an IAM role to grant permissions to applications running on Amazon EC2 instances
Question #87
A company is designing an identity access management solution for an application. The company wants users to be able to use their social media, email, or online shopping accounts to access the application.
Which AWS service provides this functionality?
- A . AWS IAM Identity Center (AWS Single Sign-On)
- B . AWS Config
- C . Amazon Cognito
- D . AWS Identity and Access Management (IAM)
Correct Answer: C
C
Explanation:
The correct answer is C because Amazon Cognito provides identity federation and user authentication for web and mobile applications. Amazon Cognito allows users to sign in with their social media, email, or online shopping accounts. The other options are incorrect because they do not provide identity federation or user authentication. AWS IAM Identity Center (AWS Single Sign-On) is a service that enables users to access multiple AWS accounts and applications with a single sign-on experience. AWS Config is a service that enables users to assess, audit, and evaluate the configurations of their AWS resources. AWS Identity and Access Management (IAM) is a service that enables users to manage access to AWS resources using users, groups, roles, and policies.
Reference: Amazon Cognito FAQs
C
Explanation:
The correct answer is C because Amazon Cognito provides identity federation and user authentication for web and mobile applications. Amazon Cognito allows users to sign in with their social media, email, or online shopping accounts. The other options are incorrect because they do not provide identity federation or user authentication. AWS IAM Identity Center (AWS Single Sign-On) is a service that enables users to access multiple AWS accounts and applications with a single sign-on experience. AWS Config is a service that enables users to assess, audit, and evaluate the configurations of their AWS resources. AWS Identity and Access Management (IAM) is a service that enables users to manage access to AWS resources using users, groups, roles, and policies.
Reference: Amazon Cognito FAQs
Question #88
Which of the following acts as an instance-level firewall to control inbound and outbound access?
- A . Network access control list
- B . Security groups
- C . AWS Trusted Advisor
- D . Virtual private gateways
Correct Answer: B
B
Explanation:
The correct answer is B because security groups are AWS features that act as instance-level firewalls to control inbound and outbound access. Security groups are virtual firewalls that can be attached to one or more Amazon EC2 instances. Users can configure rules for security groups to allow or deny traffic based on protocols, ports, and source or destination IP addresses. The other options are incorrect because they are not AWS features that act as instance-level firewalls to control inbound and outbound access. Network access control list is an AWS feature that acts as a subnet-level firewall to control inbound and outbound access. AWS Trusted Advisor is an AWS service that provides real-time guidance to help users follow AWS best practices for security, performance, cost optimization, and fault tolerance. Virtual private gateways are AWS features that enable users to create a secure and encrypted connection between their VPC and their on-premises network.
Reference: Security Groups for Your VPC
B
Explanation:
The correct answer is B because security groups are AWS features that act as instance-level firewalls to control inbound and outbound access. Security groups are virtual firewalls that can be attached to one or more Amazon EC2 instances. Users can configure rules for security groups to allow or deny traffic based on protocols, ports, and source or destination IP addresses. The other options are incorrect because they are not AWS features that act as instance-level firewalls to control inbound and outbound access. Network access control list is an AWS feature that acts as a subnet-level firewall to control inbound and outbound access. AWS Trusted Advisor is an AWS service that provides real-time guidance to help users follow AWS best practices for security, performance, cost optimization, and fault tolerance. Virtual private gateways are AWS features that enable users to create a secure and encrypted connection between their VPC and their on-premises network.
Reference: Security Groups for Your VPC
Question #89
What are the characteristics of Availability Zones? (Select TWO.)
- A . All Availability Zones in an AWS Region are interconnected with high-bandwidth, low-latency networking
- B . Availability Zones are physically separated by a minimum of distance of 150 km (100 miles).
- C . All traffic between Availability Zones is encrypted.
- D . Availability Zones within an AWS Region share redundant power, networking, and connectivity.
- E . Every Availability Zone contains a single data center.
Correct Answer: A, D
A, D
Explanation:
Availability Zones are physically separate locations within an AWS Region that are engineered to be isolated from failures. Each Availability Zone has independent power, cooling, and physical security, and is connected to other Availability Zones in the same Region by a low-latency network. Therefore, the correct answers are A and D. You can learn more about Availability Zones and their characteristics
A, D
Explanation:
Availability Zones are physically separate locations within an AWS Region that are engineered to be isolated from failures. Each Availability Zone has independent power, cooling, and physical security, and is connected to other Availability Zones in the same Region by a low-latency network. Therefore, the correct answers are A and D. You can learn more about Availability Zones and their characteristics
Question #90
Which responsibility belongs to AWS when a company hosts its databases on Amazon EC2 instances?
- A . Database backups
- B . Database software patches
- C . Operating system patches
- D . Operating system installations
Correct Answer: C
C
Explanation:
When a company hosts its databases on Amazon EC2 instances, AWS and the customer share the responsibility for the security and management of the database environment. 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 the EC2 instances, such as the hardware, software, networking, and facilities. The customer is responsible for properly configuring the security of the provided service, such as the guest operating system, the database software, the data, and the network traffic12. One of the tasks that belongs to AWS when a company hosts its databases on Amazon EC2 instances is operating system patches. AWS provides regular updates and patches to the operating system of the EC2 instances, which are applied automatically by default. The customer can also choose to manually apply the patches or schedule them for a specific time window3. Operating system patches are important for maintaining the security and performance of the EC2 instances and the databases running on them.
The other tasks that belong to AWS when a company hosts its databases on Amazon EC2 instances are:
Operating system installations: AWS provides a variety of operating system options for the EC2 instances, such as Linux, Windows, and Amazon Linux. The customer can choose the operating system that best suits their database needs and AWS will install it on the EC2 instances4.
Server maintenance: AWS performs regular maintenance and repairs on the physical servers that host the EC2 instances, ensuring that they are in optimal condition and have adequate power, cooling, and network connectivity5.
Hardware lifecycle: AWS manages the lifecycle of the hardware that supports the EC2 instances, such as replacing faulty components, upgrading equipment, and decommissioning old servers.
The tasks that do not belong to AWS when a company hosts its databases on Amazon EC2 instances are:
Database backups: The customer is responsible for backing up their data and databases on the EC2 instances, using tools such as Amazon S3, Amazon EBS snapshots, or AWS Backup. Database backups are essential for data protection and recovery in case of failures or disasters.
Database software patches: The customer is responsible for applying patches and updates to the database software on the EC2 instances, such as MySQL, PostgreSQL, Oracle, or SQL Server. Database software patches are important for fixing bugs, improving features, and addressing security vulnerabilities.
Database software install: The customer is responsible for installing the database software on the EC2 instances, choosing the version and configuration that meets their requirements. AWS provides some preconfigured AMIs (Amazon Machine Images) that include common database software, or the customer can use their own custom AMIs.
References:
Shared Responsibility Model – Amazon Web Services (AWS)
Shared responsibility model – Amazon Web Services: Risk and Compliance Patching Amazon EC2 instances – AWS Systems Manager Amazon EC2 FAQs – Amazon Web Services
Maintenance and Retirements – Amazon Elastic Compute Cloud [Hardware Lifecycle – Amazon Web Services (AWS)] [Backing Up Your Data – Amazon Web Services (AWS)]
[Database Patching – Amazon Web Services (AWS)]
[Installing Database Software on Amazon EC2 Instances – Amazon Web Services (AWS)]
C
Explanation:
When a company hosts its databases on Amazon EC2 instances, AWS and the customer share the responsibility for the security and management of the database environment. 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 the EC2 instances, such as the hardware, software, networking, and facilities. The customer is responsible for properly configuring the security of the provided service, such as the guest operating system, the database software, the data, and the network traffic12. One of the tasks that belongs to AWS when a company hosts its databases on Amazon EC2 instances is operating system patches. AWS provides regular updates and patches to the operating system of the EC2 instances, which are applied automatically by default. The customer can also choose to manually apply the patches or schedule them for a specific time window3. Operating system patches are important for maintaining the security and performance of the EC2 instances and the databases running on them.
The other tasks that belong to AWS when a company hosts its databases on Amazon EC2 instances are:
Operating system installations: AWS provides a variety of operating system options for the EC2 instances, such as Linux, Windows, and Amazon Linux. The customer can choose the operating system that best suits their database needs and AWS will install it on the EC2 instances4.
Server maintenance: AWS performs regular maintenance and repairs on the physical servers that host the EC2 instances, ensuring that they are in optimal condition and have adequate power, cooling, and network connectivity5.
Hardware lifecycle: AWS manages the lifecycle of the hardware that supports the EC2 instances, such as replacing faulty components, upgrading equipment, and decommissioning old servers.
The tasks that do not belong to AWS when a company hosts its databases on Amazon EC2 instances are:
Database backups: The customer is responsible for backing up their data and databases on the EC2 instances, using tools such as Amazon S3, Amazon EBS snapshots, or AWS Backup. Database backups are essential for data protection and recovery in case of failures or disasters.
Database software patches: The customer is responsible for applying patches and updates to the database software on the EC2 instances, such as MySQL, PostgreSQL, Oracle, or SQL Server. Database software patches are important for fixing bugs, improving features, and addressing security vulnerabilities.
Database software install: The customer is responsible for installing the database software on the EC2 instances, choosing the version and configuration that meets their requirements. AWS provides some preconfigured AMIs (Amazon Machine Images) that include common database software, or the customer can use their own custom AMIs.
References:
Shared Responsibility Model – Amazon Web Services (AWS)
Shared responsibility model – Amazon Web Services: Risk and Compliance Patching Amazon EC2 instances – AWS Systems Manager Amazon EC2 FAQs – Amazon Web Services
Maintenance and Retirements – Amazon Elastic Compute Cloud [Hardware Lifecycle – Amazon Web Services (AWS)] [Backing Up Your Data – Amazon Web Services (AWS)]
[Database Patching – Amazon Web Services (AWS)]
[Installing Database Software on Amazon EC2 Instances – Amazon Web Services (AWS)]