AWS S3 Interview Questions

AWS S3 Interview Questions

Practice here Best Amazon S3 Interview Questions & Answers

AWS S3 Stands for Amazon Simple Storage Service. This is a cloud-based storage service that is offered by Amazon. This is designed to make web-scale computing easier for developers. Here you can read the Best Interview Questions on AWS S3 or AWS S3 faq that are asked during job interviews.

Quick Questions About Amazon S3

Amazon S3 Full Form Amazon Simple Storage Service
Amazon S3 is a Type ofCloud Storage
Amazon S3 launched in14 March 2006 (About 16 years ago)
Amazon S3 is developed ByAmazon Web Services (AWS)
Amazon S3 supportsIPv6
Amazon S3 basic storage unitsObjects (organized into buckets)
Amazon S3 available inEnglish Language
Amazon S3 most popular usersSmugMug, Netflix, Reddit, Tumblr, Pintrest & Formspring
Download AWS S3 Interview Questions PDF

Below are the list of Best AWS S3 Interview Questions and Answers

You don't want to. Block storage is not the same as object storage, and there are serious implications to this.

AWS S3 Provides you a simple and secure way to store your data. It comes with a set of features that allows you secure access to your data at any time. You can store information in various bucket objects (objects) using Amazon S3 and use the various buckets as needed.

The features of AWS S3 are as follows -

  • Storage management and monitoring
  • Storage analytics and insights
  • Access management and security
  • Data processing
  • Query in place
  • Data transfer

Amazon S3 (Simple Storage Service) is a simple web service interface that allows huge amount of data storage and retrival from anywhere from the internet.Its provides developers highly scalable, reliable, fast and low cost data storage infrastructure.

In S3 bucket you can store unlimited volume of data and number of objects. A single Amazon S3 objects can be a size of range 0 bytes to 5 terabytes. In single upload request You can put an object of around 5 GB but you must have to enable Multipart Upload capability.

use aws s3 ls --recursive command on aws CLI to list all files or objects under the specified directory or prefix

Follow the steps given below to mount s3 to the ec2 instance

  • Update the system
apt-get update
  • Install the dependencies
sudo apt-get install automake autotools-dev fuse g++ git libcurl4-gnutls-dev libfuse-dev libssl-dev libxml2-dev make pkg-config
  • Clone s3fs source code from git
git clone https://github.com/s3fs-fuse/s3fs-fuse.git
  • Run the below commands to change the source code directory, and compile and install the code.
cd s3fs-fuse
autogen.sh
./configure --prefix=/usr --with-openssl
make
sudo make install
  • Run the s3fs command to check where the command is placed
which s3fs
  • Get your access key and secret key ready.
  • Create a new file in /etc with the name passwd-s3fs and paste your access key and secret key.
touch /etc/passwd-s3fs
vim /etc/passwd-s3fs
Your_accesskey:Your_secretkey
  • Change the permission of the file
sudo chmod 640 /etc/passwd-s3fs
  • Now create a directory or provide the path of an existing directory and mount S3bucket in it.
mkdir /mys3bucket
s3fs your_bucketname -o use_cache=/tmp -o allow_other -o uid=1001 -o mp_umask=002 -o multireq_max=5 /mys3bucket

Prerequisite to install AWS CLI.

  • Python2 version 2.6.5+ or Python3 version 3.3+

  • Windows, Linux, macOS,or Unix

After that, if you are using Unix or Linux system run below command to install AWS CLI

 pip install awscli --upgrade --user

For window and other OS please read: https://docs.aws.amazon.com/cli/latest/userguide/installing.html

You can use invalidations to clear AWS S3 cache. To create invalidations login to AWS Console and go to Distribution Settings > Invalidations > Create Invalidation. Once invalidation is created just type path of file or a wildcard to purge the cache.

Here are steps to delete an S3 bucket:-

  • Step1: Login to AWS Management Console.
  • Step2: Select S3 from services.
  • Step3: Check the bucket you want to delete.
  • Step4: Click on the delete button. As confirmation Aws ask you to type the bucket name to delete.
  • Step5: Type bucket name and click on the Confirm button.

AWS S3 Access keys are TCP connections to an S3 bucket and allow you to get from it, store your data in it and download it. You can create a new access key or update an existing one when you’re creating a new bucket or modifying existing ones.

Take Free: Aws s3 MCQ & Quiz

Amazon S3 offers several options for protecting data at rest. For example, you can encrypt or obfuscate Key Pair URIs with X.509 certificates and EC2 instances by using either Linux containers or EC2 instances to transfer the data out of S3.

Versioning allows us to keep multiple variants of an object in a bucket. Versioning helps us to restore an object to a previous or specific version of an object. You can take advantage of versioning to recover a deleted or mistakenly overwritten object.

Versioning helps you to keep multiple versions of an object in one bucket. Here are simple steps to enable versioning on an S3 bucket.

  • Step1: Login to your AWS console.
  • Step2: From services choose S3.
  • Step3: Select a bucket for which you want to enable versioning.
  • Step4: Click on the properties tab.
  • Step5: Choose versioning from properties.
  • Step6: Choose to enable versioning and click on the Ok button.

Multipart Upload is a new feature that allows you to add multiple files in a single operation. This means that instead of uploading a file with S3 and having it uploaded to all the destinations separately, you can upload multiple files in one step. Multipart Upload lets you expand your use cases, by having faster downloads and big data transfer, or by making sure that files are always accessible from anywhere and from any device

It is a FUSE filesystem. Amazon web services simple storage service supports it. It can be operated with two different methods

1.Command method-

In this type of mode, s3fs is eligible for managing Amazon s3 buckets in several efficient methods.

2. Mount method-

It is used to mount the Amazon s3 bucket as a local file system.