Amazon SAA-C03 Practice Test - Questions Answers, Page 56

C and E are the correct answers because they allow the company to create a public endpoint for its web application that supports session affinity (sticky sessions) and has a WAF applied for additional security. By creating a public Application Load Balancer, the company can distribute incoming traffic across multiple EC2 instances in an Auto Scaling group and specify the application target group. By creating a web ACL in AWS WAF and associating it with the Application Load Balancer, the company can protect its web application from common web exploits. By enabling session stickiness on the Application Load Balancer, the company can ensure that subsequent requests from a user during a session are routed to the same target. Reference:

Application Load Balancers

AWS WAF

Target Groups for Your Application Load Balancers

How Application Load Balancer Works with Sticky Sessions

it allows the company to implement a disaster recovery (DR) solution for the application that has a recovery time objective (RTO) of less than 4 hours and uses the fewest possible AWS resources during normal operations. By creating Amazon Machine Images (AMIs) to back up the EC2 instances and copying the AMIs to a secondary AWS Region, the company can create point-in-time snapshots of the application and store them in a different geographical location. By automating infrastructure deployment in the secondary Region by using AWS CloudFormation, the company can quickly launch a stack of resources from a template in case of a disaster. This is a cost-effective and operationally efficient way to implement a DR solution for EC2 instances. Reference:

Amazon Machine Images (AMI)

Copying an AMI

AWS CloudFormation

Working with Stacks

it allows the company to migrate its data from the on-premises location to an Amazon S3 bucket and automatically validate the integrity of the data after the transfer. By deploying an AWS DataSync agent on premises, the company can use a fully managed data transfer service that makes it easy to move large amounts of data to and from AWS. By configuring the DataSync agent to perform the online data transfer to an S3 bucket, the company can take advantage of DataSync's features, such as encryption, compression, bandwidth throttling, and data validation. DataSync automatically verifies data integrity at both source and destination after each transfer task. Reference:

AWS DataSync

Deploying an Agent for AWS DataSync

How AWS DataSync Works

An Auto Scaling group is a collection of EC2 instances that share similar characteristics and can be scaled in or out automatically based on demand. An Auto Scaling group can have a scheduled action, which is a configuration that tells the group to scale to a specific size at a specific time. This way, the company can scale up to six instances each Friday evening to handle the increased workload, and scale down to two instances at other times to save costs. This solution meets the requirements with the least operational overhead, as it does not require manual intervention or custom scripts.

1 explains how to create a scheduled action for an Auto Scaling group.

2 describes the concept and benefits of an Auto Scaling group.

A cluster placement group is a logical grouping of EC2 instances within a single Availability Zone that are placed close together to minimize network latency. This is suitable for latency-sensitive HPC workloads that require high network performance. A compute optimized EC2 instance is an instance type that has a high ratio of vCPUs to memory, which is ideal for compute-intensive applications. Amazon FSx for NetApp ONTAP is a fully managed service that provides NFS and SMB multi-protocol access from the file system, as well as features such as data deduplication, compression, thin provisioning, and snapshots. This solution will meet the requirements with the least latency, as it leverages the low-latency network and storage performance of AWS.

1 explains how cluster placement groups work and their benefits.

2 describes the characteristics and use cases of compute optimized EC2 instances.

3 provides an overview of Amazon FSx for NetApp ONTAP and its features.

AWS DataSync is a service that makes it easy to move large amounts of data between AWS storage services and on-premises storage systems. AWS DataSync can copy files from an S3 bucket to an EFS file system and another S3 bucket continuously, as well as overwrite only the files that have changed in the source. This solution will meet the requirements with the least operational overhead, as it does not require any code development or manual intervention.

4 explains how to create AWS DataSync locations for different storage services.

5 describes how to create and configure AWS DataSync tasks for data transfer.

6 discusses the different transfer modes that AWS DataSync supports.

DynamoDB Accelerator (DAX) is a fully managed, highly available caching service built for Amazon DynamoDB. DAX delivers up to a 10 times performance improvement---from milliseconds to microseconds---even at millions of requests per second. DAX does all the heavy lifting required to add in-memory acceleration to your DynamoDB tables, without requiring developers to manage cache invalidation, data population, or cluster management. Now you can focus on building great applications for your customers without worrying about performance at scale. You do not need to modify application logic because DAX is compatible with existing DynamoDB API calls. This solution will meet the requirements with the least operational overhead, as it does not require any code development or manual intervention.

1provides an overview of Amazon DynamoDB Accelerator (DAX) and its benefits.

2explains how to use DAX with DynamoDB for in-memory acceleration.

User-defined tags are key-value pairs that can be applied to AWS resources to categorize and track them. User-defined tags can also be used to allocate costs and create detailed billing reports in the AWS Billing console. To use user-defined tags for cost allocation, the tags must be activated from the Organizations management account, which is the root account that has full control over all the member accounts in the organization. Once activated, the user-defined tags will appear as columns in the cost allocation report, and can be used to filter and group costs by product line. This solution will meet the requirements with the least operational overhead, as it leverages the existing tagging strategy and does not require any code development or manual intervention.

1 explains how to use user-defined tags for cost allocation.

2 describes how to access and manage member accounts from the Organizations management account.

3 discusses how to create and view cost allocation reports in the AWS Billing console.

EBS snapshots are point-in-time backups of EBS volumes that can be used to restore data or create new volumes. EBS snapshots can be locked to prevent accidental deletion using a feature called EBS Snapshot Lock. When a snapshot is locked, it cannot be deleted by any user, including the root user, until it is unlocked. The lock policy can also specify a retention period, after which the snapshot can be deleted. This solution will meet the requirements with the least administrative effort, as it does not require any code development or policy changes.

1 explains how to lock and unlock EBS snapshots using EBS Snapshot Lock.

2 describes the concept and benefits of EBS snapshots.