20 AWS Certified Cloud Practitioner Interview Questions and Answers
Prepare for the types of questions you are likely to be asked when interviewing for a position where AWS Certified Cloud Practitioner will be used.
Prepare for the types of questions you are likely to be asked when interviewing for a position where AWS Certified Cloud Practitioner will be used.
The AWS Certified Cloud Practitioner is a certification that validates your knowledge and skills in AWS. If you are applying for a position that requires this certification, you can expect to be asked questions about your experience and expertise in AWS. In this article, we review some of the most common questions you may be asked during your interview.
Here are 20 commonly asked AWS Certified Cloud Practitioner interview questions and answers to prepare you for your interview:
AWS is a cloud computing platform that offers a variety of services, including storage, computing power, and networking. It is a popular choice for businesses because it is scalable and easy to use.
Some of the key features and services provided by AWS include Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), and Amazon CloudFront. These services allow users to create and manage virtual machines, store and retrieve data, and distribute content around the world.
You can access a VM instance on AWS using either the AWS Management Console or the AWS Command Line Interface (CLI).
IAM roles are meant to be used by AWS services, applications, or devices that don’t normally have access to your AWS account. User accounts are meant to be used by people who need to log in to the AWS console or use the AWS API.
There are a few ways to secure your Amazon S3 buckets:
– Use IAM policies to control who has access to your buckets
– Use S3 bucket policies to further restrict access to your buckets
– Use S3 lifecycle policies to automatically delete data that is no longer needed
EBS is the Elastic Block Store, which is a cloud-based storage service offered by AWS. EBS provides persistent storage for data that is used by applications running on AWS.
The main security components provided by AWS are Identity and Access Management (IAM), Amazon CloudWatch, Amazon Simple Storage Service (S3), and Amazon Virtual Private Cloud (VPC). These services work together to provide a secure environment for your applications and data.
Yes, it is possible to restrict access to certain regions when using AWS. You can do this by creating an Amazon Virtual Private Cloud (VPC) and then attaching an Amazon VPC gateway to it. This will allow you to control which Amazon EC2 instances can access which AWS resources in which regions.
If you don’t specify any region while creating a new resource group in AWS, then the resource group will be created in the default region for your account.
The best way to ensure that all data stored in S3 buckets is encrypted is to use server-side encryption with Amazon S3-Managed Keys (SSE-S3). With this method, Amazon S3 encrypts your data as it writes it to disks in its data centers and decrypts it when you access it.
A VPC endpoint is a private connection between your VPC and another AWS service. A VPN connection is a private connection between your VPC and another network, such as a corporate datacenter. In general, you should use a VPC endpoint whenever possible, as it is more secure and typically has better performance than a VPN connection.
You can create a snapshot of an EC2 volume by using the Amazon EC2 console, the AWS Command Line Interface (AWS CLI), or the Amazon EC2 API.
The maximum size for an EBS volume is 16 TiB.
AWS imposes some limitations on tags in order to ensure that they are properly formatted and used. For example, each tag must have a key and a value, and the key must be unique. Additionally, the total number of tags that can be used on an AWS resource is 50, and the total size of all tags combined cannot exceed 10kb.
AWS resources that can be tagged include Amazon EC2 instances, Amazon EBS volumes, Amazon S3 buckets, Amazon VPCs, Amazon RDS DB instances, Amazon DynamoDB tables, Amazon EMR clusters, and AWS OpsWorks stacks.
A pre-configured AMI is an Amazon Machine Image that already has an operating system and applications installed on it. A custom AMI is one that you create yourself, and you can choose which operating system and applications to install on it. In general, a custom AMI is more flexible, but a pre-configured AMI can be easier to use. If you need a specific combination of operating system and applications, or if you need to be able to customize your environment more, then a custom AMI is probably a better choice.
There are a few common reasons why an IAM policy might not work as expected. One reason might be that the policy is not properly formatted. Another reason might be that the policy does not have the correct permissions. Finally, the policy might not be attached to the correct user or role.
CloudFormation is a tool from Amazon Web Services that allows you to create and manage a collection of AWS resources, provisioning and updating them in an orderly and predictable fashion. You would use CloudFormation when you want to automate the process of creating and managing AWS resources.
Lambda function is a compute service that allows you to run code without provisioning or managing servers. Lambda can be used for various tasks such as running backend for mobile or web applications, processing data streams, or building data pipelines.
Both Redshift and Aurora are relational database services offered by Amazon. Redshift is a data warehouse service, while Aurora is a MySQL and PostgreSQL compatible relational database engine. The main difference between the two is that Redshift is designed for data warehousing and analytics, while Aurora is designed for transactional workloads.