AWS Interview Questions and Answers for freshers in 2023 for AWS jobs in kolkata, Bangalore, Pune, Hyderabad, Delhi, Mumbai.
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AWS has become the most popular Cloud services in the year 2023.The continuous increase in demand for AWS Cloud Computing skills makes the golden opportunity for freshers and working professionals to get into this new domain by preparing and upgrading AWS skills keeping their previous experience relevant. The popularity of AWS has resulted in a high demand for professionals with AWS skills and expertise, especially in major cities such as Kolkata, Bangalore, Pune, Hyderabad, Delhi, and Mumbai.This has made it an attractive career choice for freshers, graduates, and professionals in 2023. The working professionals who are wotking in some different domains can also switch their career in AWS Cloud for a better career growth in near future. As a fresher, it's important to prepare yourself for AWS job interviews by familiarizing yourself with common AWS interview questions and answers. Apart from that you need hands on skills for relevent aws services and resources.
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AWS Interview Questions and Answers - 2023 [ updated ]::
What are the different Storage Classes available in AWS S3?
The AWS S3 storage classes include S3 Standard | S3 Intelligent-Tiering | S3 Standard-Infrequent Access (S3 Standard-IA) | S3 One Zone-Infrequent Access (S3 One Zone-IA) | S3 Glacier Instant Retrieval | S3 Glacier Flexible Retrieval | Amazon S3 Glacier Deep Archive (S3 Glacier Deep Archive). For data residency requirements that can’t be met by an existing AWS Region, the S3 Outposts storage class is used to store your S3 data on premises.
What are private and public Key-Pairs in AWS?
Private key-pair: A private key-pair is a file that is securely stored on a local machine or in AWS Key Management Service (KMS). It is a secret key that is used for encrypting and decrypting data. The private key should never be shared with anyone, as it is used to protect sensitive information.
Public key-pair: A public key-pair is a file that is shared with other services or resources. It is a non-secret key that is used for encrypting data. When a service or resource needs to encrypt data, it uses the recipient's public key to do so. The recipient can then use their private key to decrypt the data.
Public key-pair: A public key-pair is a file that is shared with other services or resources. It is a non-secret key that is used for encrypting data. When a service or resource needs to encrypt data, it uses the recipient's public key to do so. The recipient can then use their private key to decrypt the data.
How many Subnets can you have per AWS VPC?
In AWS, the number of subnets you can have per VPC (Virtual Private Cloud) depends on the IP address range of the VPC and the size of the subnets.
AWS allows you to create a VPC with an IP address range of between /16 and /28. The smaller the IP address range, the fewer subnets you can create.
In general, you can have up to 200 subnets per VPC. However, the exact number of subnets you can create depends on the IP address range of the VPC and the size of the subnets you create
AWS allows you to create a VPC with an IP address range of between /16 and /28. The smaller the IP address range, the fewer subnets you can create.
In general, you can have up to 200 subnets per VPC. However, the exact number of subnets you can create depends on the IP address range of the VPC and the size of the subnets you create
What are AWS Snow family products?
AWS no family products are built for effective movement of petabytes of data in offline mode. AWS snow family products sustain in most extreme weather conditions and has inbuilt high security and robust hardware. Snow family products include AWS Snowcone, AWS Snow ball edge storage optimised AWS snow ball edge compute Optimised and AWS snow mobile.
What is AWS Elastic Transcoder?
AWS Elastic Transcoder is a fully managed media transcoding service which is built to convert media files from one format to another, and provides a cost-effective way to prepare and distribute video and audio content for playback on various devices and platforms. Elastic Transcoder can be used in a wide range of use cases, such as creating video tutorials, converting recorded webinars or events for online distribution, and optimizing video and audio content for mobile and web delivery.
What is Redshift in AWS?
Amazon Redshift is a fully managed, petabyte-scale data warehousing service provided by Amazon Web Services (AWS). It can analyze data using SQL easily and cost-effectively. It is designed to handle large amounts of structured data and is optimized for querying and analyzing data using SQL-based tools. It uses a columnar storage format that enables high-performance analysis and allows for massive parallel processing.
What are the consistency models for modern DataBases offered by AWS?
AWS offers several modern database services that support different consistency models, including:
Strong Consistency: This consistency model ensures that all data reads will return the most recent version of the data, and all writes will be applied in the same order they were submitted. AWS services that support strong consistency include Amazon DynamoDB, Amazon DocumentDB, and Amazon Aurora.
Eventual Consistency: This consistency model allows for temporary inconsistencies between data replicas, but eventually all replicas will converge to the same state. AWS services that support eventual consistency include Amazon S3, Amazon Kinesis, and Amazon Simple Queue Service (SQS).
Read-after-Write Consistency: This consistency model ensures that all data reads after a write operation will return the most recent version of the data. AWS services that support read-after-write consistency include Amazon S3, Amazon DynamoDB, and Amazon RDS.
Session Consistency: This consistency model ensures that all data reads and writes within a session will be consistent. AWS services that support session consistency include Amazon ElastiCache and Amazon DocumentDB.
Consistent Prefix: This consistency model ensures that all data reads will return a consistent prefix of the data, even in the presence of concurrent updates. AWS services that support consistent prefix include Amazon DynamoDB and Amazon SimpleDB.
Monotonic Read Consistency: This consistency model ensures that a data read will never return an older version of the data than a previous read. AWS services that support monotonic read consistency include Amazon DynamoDB and Amazon S3.
Strong Consistency: This consistency model ensures that all data reads will return the most recent version of the data, and all writes will be applied in the same order they were submitted. AWS services that support strong consistency include Amazon DynamoDB, Amazon DocumentDB, and Amazon Aurora.
Eventual Consistency: This consistency model allows for temporary inconsistencies between data replicas, but eventually all replicas will converge to the same state. AWS services that support eventual consistency include Amazon S3, Amazon Kinesis, and Amazon Simple Queue Service (SQS).
Read-after-Write Consistency: This consistency model ensures that all data reads after a write operation will return the most recent version of the data. AWS services that support read-after-write consistency include Amazon S3, Amazon DynamoDB, and Amazon RDS.
Session Consistency: This consistency model ensures that all data reads and writes within a session will be consistent. AWS services that support session consistency include Amazon ElastiCache and Amazon DocumentDB.
Consistent Prefix: This consistency model ensures that all data reads will return a consistent prefix of the data, even in the presence of concurrent updates. AWS services that support consistent prefix include Amazon DynamoDB and Amazon SimpleDB.
Monotonic Read Consistency: This consistency model ensures that a data read will never return an older version of the data than a previous read. AWS services that support monotonic read consistency include Amazon DynamoDB and Amazon S3.
What is Geo-Targeting in CloudFront?
Geo-Targeting in Amazon CloudFront is a feature that allows us to deliver different versions of usr content to users based on their geographic location. With Geo-Targeting, we can deliver content that is specific to different regions, such as different languages, prices, or promotions.
Geo-Targeting is achieved by using a set of rules that us define in usr CloudFront distribution. These rules can be based on several criteria, such as the user's IP address or the country that the user is located in. We can then use these rules to specify which version of usr content to serve to users from different regions.
Geo-Targeting is achieved by using a set of rules that us define in usr CloudFront distribution. These rules can be based on several criteria, such as the user's IP address or the country that the user is located in. We can then use these rules to specify which version of usr content to serve to users from different regions.
Explain Connection Draining in AWS Application Loadbalencer (ALB)?
Connection Draining is a feature of the AWS Application Load Balancer (ALB) that allows the load balancer to complete in-flight requests on a target instance that is being deregistered or taken out of service and it is compatible with most AWS services and protocols, including HTTP, HTTPS, TCP, and SSL. It is an essential feature for any production application that relies on load balancers for high availability and scalability. It helps ensure that users' requests are not interrupted during maintenance or scaling activities, and it can improve the availability and reliability of your application. It also helps prevent data loss or other issues that can occur when connections are abruptly terminated.
What are Recovery Time Objective and Recovery Point Objective in AWS?
Recovery Time Objective (RTO) and Recovery Point Objective (RPO) are two important metrics used to measure the ability of an IT system to recover from a disaster or outage. In AWS, these metrics are often used to design and test disaster recovery (DR) strategies for critical applications.
Recovery Time Objective (RTO) is the maximum amount of time it should take to restore an application after a disaster or outage. It is a measure of how quickly you need to get your application up and running again. For example, if your RTO is one hour, it means that you need to be able to restore your application within one hour of an outage.
Recovery Point Objective (RPO) is the maximum amount of data loss that you are willing to tolerate in case of a disaster or outage. It is a measure of how much data you can afford to lose. For example, if your RPO is one hour, it means that you can afford to lose up to one hour of data in case of a disaster. Both RTO and RPO are important considerations when designing a DR strategy in AWS. RTO and RPO can be achieved through a combination of techniques such as backups, replication, multi-region architectures, and disaster recovery services like AWS Disaster Recovery.
Recovery Time Objective (RTO) is the maximum amount of time it should take to restore an application after a disaster or outage. It is a measure of how quickly you need to get your application up and running again. For example, if your RTO is one hour, it means that you need to be able to restore your application within one hour of an outage.
Recovery Point Objective (RPO) is the maximum amount of data loss that you are willing to tolerate in case of a disaster or outage. It is a measure of how much data you can afford to lose. For example, if your RPO is one hour, it means that you can afford to lose up to one hour of data in case of a disaster. Both RTO and RPO are important considerations when designing a DR strategy in AWS. RTO and RPO can be achieved through a combination of techniques such as backups, replication, multi-region architectures, and disaster recovery services like AWS Disaster Recovery.
