Cognizant – AWS Interview Questions | Latest Cognizant AWS Interview Questions & Answers. The list of AWS interview questions frequently asked at Cognizant is given below. Both freshers and experienced professionals can use these questions.
What are the powerful features of Amazon Cloud Search?
The Amazon Cloud Search supports powerful search features, including many types of
searches like free text, boolean, faceted searches, autocomplete suggestions, and
query-time rank expressions.
What are the storage classes available on Amazon S3?
The storage classes available in Amazon S3 contain S3 Intelligent-Tiering for data, S3
Standard-Infrequent Access (S3 Standard-IA), and S3 One Zone-Infrequent Access (S3
How can you send a request to Amazon S3?
You can send a request to Amazon S3 using the AWS SDK wrapper libraries that wrap
the Amazon S3 REST API to simplify the programming tasks in which interaction is
either authenticated or anonymous.
What is the Amazon EC2 service?
EC2 encourages the scalable deployment of applications by supplying a web service
through a user who boots AMI to configure a virtual machine containing any desired
What are the features of the Amazon EC2 service?
The features of the Amazon EC2 service provide several powerful features with
scalable, enterprise-class applications and direct access to the processor and memory
of the underlying server.
What is a Serverless Application Model (SAM) in AWS?
The AWS Serverless Application Model (SAM) is an open-source framework for
creating serverless applications. You can locally create, test, and debug applications
specified by SAM templates using the SAM CLI, which offers an execution environment
similar to Lambda. You can deploy your applications to AWS by using the SAM CLI.
Explain Amazon ElastiCache.
Amazon ElastiCache is a web service in-memory data store and cache service that
improves the performance of web applications by retrieving information from fully
managed in-memory caches.
What is Redshift?
Redshift lets you easily save the results of your queries back to your S3 data lake using
open formats like Apache Parquet. So, you can do additional analytics from other
analytics services like Amazon EMR, Amazon Athena, and Amazon Sage Maker.
What are the components involved in Amazon Web Services?
The components involved in Amazon Web Services are as follows:
Implementation and Management.
Management and Security.
How do you distinguish between scalability and flexibility?
Scalability, in AWS, refers to the ability of your resources to increase or decrease in size or quantity. However, elasticity is the ability of your resources to scale in response to stated criteria.
What is the role of AWS CloudTrail?
AWS Cloud Trail is a service with the role of logging, monitoring, and retaining account activity across the AWS infrastructure. It enables governance, operational auditing, and risk auditing of the AWS user account.
What is AWS Lambda?
AWS Lambda is a Platform as a Service that helps you run and execute backend code and deploy and manage apps on the AWS Cloud, which does not depend upon the infrastructure.
Name the types of AMI provided by AWS.
AWS includes EBS snapshots, control permission launch, and block device mapping, which allows multiple instances to be created and to copy and deregister whenever needed. You can change the instance type, kernel, RAM disk, and user data in an AMI while stopping the instance.
Name the AWS service that exists only to redundantly cache data and images.
Data can be stored in the outpost on-premises environment when you manually choose to transfer it to an AWS region in Amazon S3. You can store data redundantly within a single availability zone in the AWS region.
What are the main features of Amazon CloudFront?
Amazon CloudFront offers programmable and secure edge CDN computing capabilities through CloudFront functions and AWS Lambda@Edge. CloudFront features are ideal for high-scale and latency-sensitive operations like HTTP header manipulations, URL rewrites and redirects, and cache-key normalizations.
What is Amazon EMR?
Amazon EMR stands for Amazon Elastic MapReduce (EMR) and is a software framework that helps developers write code that processes large amounts of data on any processor type for big data processing and analysis.
How can you vertically scale an Amazon instance?
You can increase the capacity of the EC2 instance by using vertical scaling to manage the growing demands of the application. One can achieve vertical scaling by adding extra power (e.g., CPU, RAM) to an existing machine, up to 488 GB of RAM or 128 virtual cores.