SAA-C03 Exam Dumps - Amazon Web Services AWS Certified Associate Questions and Answers

https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_scps_examples_vpc.html#example_vpc_2

https://aws.amazon.com/kms/faqs/#:~:text=If%20you%20are%20a%20developer%20who%20needs%20to%20digitally,a%20broad%20set%20of%20industry%20and%20regional%20compliance%20regimes.

You need S3 to be able to archive the logs after one month. Cannot do that with CloudWatch Logs.

To make all the data available to various teams and minimize operational overhead, the company can create a data lake by using AWS Lake Formation. This will allow the company to centralize all the data in one place and use fine-grained access controls to manage access to the data. To meet the requirements of the company, the solutions architect can create a data lake by using AWS Lake Formation, create an AWS Glue JDBC connection to Amazon RDS, and register the S3 bucket in Lake Formation. The solutions architect can then use Lake Formation access controls to limit access to the data. This solution will provide the ability to manage fine-grained permissions for the data and minimize operational overhead.

https://aws.amazon.com/about-aws/whats-new/2018/04/announcing-s3-one-zone-infrequent-access-a-new-amazon-s3-storage-class/?nc1=h_ls

By using an SQS queue and Lambda, the solutions architect can decouple the API front end from the processing microservices and improve the overall scalability and availability of the system. The SQS queue acts as a buffer, allowing the API front end to continue accepting user requests even if the processing microservices are experiencing high workloads or are temporarilyunavailable. The Lambda function can then retrieve requests from the SQS queue and write them to DynamoDB, ensuring that all user requests are stored and processed. This approach allows the company to scale the processing microservices independently from the API front end, ensuring that the API remains available to users even during periods of high demand.

https://aws.amazon.com/premiumsupport/knowledge-center/cloudfront-access-to-amazon-s3/

https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/private-content-restricting-access-to-s3.html#private-content-restricting-access-to-s3-overview

ElastiCache, enhances the performance of web applications by quickly retrieving information from fully-managed in-memory data stores. It utilizes Memcached and Redis, and manages to considerably reduce the time your applications would, otherwise, take to read data from disk-based databases. Amazon CloudFront supports dynamic content from HTTP and WebSocket protocols, which are based on the Transmission Control Protocol (TCP) protocol. Common use cases include dynamic API calls, web pages and web applications, as well as an application's static files such as audio and images. It also supports on-demand media streaming over HTTP. AWS Global Accelerator supports both User Datagram Protocol (UDP) and TCP-based protocols. It is commonly used for non-HTTP use cases, such as gaming, IoT and voice over IP. It is also good for HTTP use cases that need static IP addresses or fast regional failover

EC2 instance Savings Plan saves 72% while Compute Savings Plans saves 66%. But according to link, it says "Compute Savings Plans provide the most flexibility and help to reduce your costs by up to 66%. These plans automatically apply to EC2 instance usage regardless of instance family, size, AZ, region, OS or tenancy, and also apply to Fargate and Lambda usage." EC2 instance Savings Plans are not applied to Fargate or Lambda

https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/private-content-restricting-access-to-s3.html

https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/distribution-web-awswaf.html

(https://aws.amazon.com/blogs/security/how-to-restrict-amazon-s3-bucket-access-to-a-specific-iam-role/)

Use a group email address for the management account's root userhttps://docs.aws.amazon.com/organizations/latest/userguide/orgs_best-practices_mgmt-acct.html#best-practices_mgmt-acct_email-address

Cloudfront for rapid response and s3 to minimize infrastructure.

EC2 Spot Instances allow users to bid on spare Amazon EC2 computing capacity and can be a cost-effective solution for stateless, interruptible workloads that can be started and stopped at any time. Since the batch processing job is stateless, can be started and stopped at any time, and typically takes upwards of 60 minutes to complete, EC2 Spot Instances would be a good fit for this workload.

This option is the most cost-effective and scalable way to process the files uploaded to S3. AWS CloudTrail is used to log API calls, not to trigger actions based on them. AWS AppSync is a service for building GraphQL APIs, not for processing files. Amazon Kinesis Data Streams is used to ingest and process streaming data, not to send data to S3. Amazon SNS is a pub/sub service that can be used to notify subscribers of events, not to process files. References:

Using AWS Lambda with Amazon S3

AWS CloudTrail FAQs

What Is AWS AppSync?

[What Is Amazon Kinesis Data Streams?]

[What Is Amazon Simple Notification Service?]

These two solutions will optimize the HPC environment for networking and storage. Amazon FSx for Lustre is a fully managed service that provides cost-effective, high-performance, scalable storage for compute workloads. It is built on the world’s most popular high-performance file system, Lustre, which is designed for applications that require fast storage, such as HPC and machine learning. By configuring the file system with scratch storage, you can achieve sub-millisecond latencies, up to hundreds of GBs/s of throughput, and millions of IOPS. Scratch file systems are ideal for temporary storage and shorter-term processing of data. Data is not replicated and does not persist if a file server fails. For more information, see Amazon FSx for Lustre.

Elastic Fabric Adapter (EFA) is a network interface for Amazon EC2 instances that enables customers to run applications requiring high levels of inter-node communications at scale on AWS. Its custom-built operating system (OS) bypass hardware interface enhances the performance of inter-instance communications, which is critical to scaling HPC and machine learning applications. EFA provides a low-latency, low-jitter channel for inter-instance communications, enabling your tightly-coupled HPC or distributed machine learning applications to scale to thousands of cores. EFA uses libfabric interface and libfabric APIs for communications, which are supported by most HPC programming models. For more information, see Elastic Fabric Adapter.

The other solutions are not suitable for optimizing the HPC environment for networking and storage. AWS Global Accelerator is a networking service that helps you improve the availability, performance, and security of your public applications by using the AWS global network. It provides two global static public IPs, deterministic routing, fast failover, and TCP termination at the edge for your application endpoints. However, it does not support OS-bypass capabilities or high-performance file systems that are required for HPC and machine learning applications. For more information, see AWS Global Accelerator.

Amazon CloudFront is a 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. CloudFront is integrated with AWS services such as Amazon S3, Amazon EC2, AWS Elemental Media Services, AWS Shield, AWS WAF, and AWS Lambda@Edge. However, CloudFront is not designed for HPC and machine learning applications that require high levels of inter-node communications and fast storage. For more information, see [Amazon CloudFront].

AWS Elastic Beanstalk is an easy-to-use service for deploying and scaling web applications and services developed with Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker on familiar servers such as Apache, Nginx, Passenger, and IIS. You can simply upload your code and Elastic Beanstalk automatically handles the deployment, from capacity provisioning, load balancing, auto-scaling to application health monitoring. However, Elastic Beanstalk is not optimized for HPC and machine learning applications that require OS-bypass capabilities and high-performance file systems. For more information, see [AWS Elastic Beanstalk].

AWS DataSync is a data transfer service that simplifies, automates, and accelerates moving data between on-premises storage systems and AWS storage services over the internet or AWS Direct Connect1. AWS DataSync can transfer data to Amazon FSx for Windows File Server, which is a fully managed file system that is accessible over the industry-standard Server Message Block (SMB) protocol. Amazon FSx for Windows File Server is builton Windows Server, delivering a wide range of administrative features suchas user quotas, end-user file restore, and Microsoft Active Directory (AD) integration2. This solution meets the requirements of the question because:

It can migrate more than 100 TB of data to AWS within a reasonable time frame, as AWS DataSync is optimized for high-speed and efficient data transfer1.

It can preserve the intricate directory structure and the millions of small files stored in deep hierarchies of subfolders, as AWS DataSync can handle complex file structures and metadata, such as file names, permissions, and timestamps1.

It can avoid changing the applications to access the data after migration, as Amazon FSx for Windows FileServer supports the same SMB protocol and Windows Server features that the company’s on-premises file storage uses2.

It can reduce the operational overhead, as AWS DataSync and Amazon FSx for Windows File Server are fully managed services that handle the tasks of setting up, configuring, and maintaining the data transfer and the file system12.

Before you begin: Decide which two Availability Zones you will use for your EC2 instances. Configure your virtual private cloud (VPC) with at least one public subnet in each of these Availability Zones. These public subnets are used to configure the load balancer. You can launch your EC2 instances in other subnets of these Availability Zones instead.

https://docs.amazonaws.cn/en_us/IAM/latest/UserGuide/reference_policies_examples_s3_rw-bucket.html

The policy is separated into two parts because the ListBucket action requires permissions on the bucket while the other actions require permissions on the objects in the bucket. You must use two different Amazon Resource Names (ARNs) to specify bucket-level and object-level permissions. The first Resource element specifies arn:aws:s3:::AdminTools for the ListBucket action so that applications can list all objects in the AdminTools bucket.

High availability can be enabled for this architecture quite simply by modifying the existing Auto Scaling group to use multiple availability zones. The ASG will automatically balance the load so you don't actually need to specify the instances per AZ.