Amazon Web Services Updated SAA-C03 Exam Questions and Answers by tomas

Understanding the Requirement: Senior leadership wants a custom dashboard displaying NAT gateway costs daily, starting from the beginning of the current month.

Analysis of Options:

QuickSight with DataSync: While QuickSight is suitable for dashboards, DataSync is not designed for querying and analyzing data reports.

QuickSight with Athena: QuickSight can visualize data queried by Athena, which is designed to analyze data directly from S3.

CloudWatch with DataSync: CloudWatch is primarily for monitoring metrics, not for creating detailed cost analysis dashboards.

CloudWatch with Athena: Similarly, using CloudWatch with Athena does not align well with the requirement for a visual dashboard.

Best Solution for Visualization and Querying:

Amazon QuickSight with Athena: This combination allows for powerful data visualization and querying capabilities. QuickSight can create dynamic dashboards, while Athena efficiently queries the cost and usage report data stored in S3.

Requirement Analysis: The goal is to prevent accidental deletion of EBS snapshots while avoiding indefinite retention.

Recycle Bin for EBS Snapshots: AWS Recycle Bin allows for retention rules that prevent immediate deletion of snapshots, providing a safety net against accidental deletions.

Retention Rule: A 7-day retention rule ensures snapshots are not permanently deleted immediately, giving time to recover from accidental deletions.

Implementation:

Enable Recycle Bin in your AWS account.

Create a retention rule that specifies a 7-day period for EBS snapshots.

Apply this rule to all EBS snapshots.

Conclusion: This solution provides an automated way to prevent data loss from accidental deletions with minimal development effort.

References

AWS Recycle Bin:AWS Recycle Bin Documentation

AWS Outposts is a fully managed service that delivers AWS infrastructure and services to virtually any on-premises or edge location for a consistent hybrid experience. AWS Outposts supports Amazon EKS, which is a managed service that makes it easy to run Kubernetes on AWS and on-premises. By installing an AWS Outposts rack in the company’s data center, the company can run containers in a Kubernetes environment using Amazon EKS and other AWS managed services, while keeping the data locally in the company’s data center and meeting the compliance requirements. AWS Outposts also provides a seamless connection to the local AWS Region for access to a broad range of AWS services.

Option A is not a valid solution because AWS Local Zones are not deployed in the company’s data center, but in large metropolitan areas closer to end users. AWS Local Zones are owned, managed, and operated by AWS, and they provide low-latency access to the public internet and the local AWS Region. Option B is not a valid solution because AWS Snowmobile is a service that transports exabytes of data to AWS using a 45-foot long ruggedized shipping container pulled by a semi-trailer truck. AWS Snowmobile is not designed for running containers or AWS managed services on-premises, but for large-scale data migration. Option D is not a valid solution because AWS Snowball Edge Storage Optimized is a device that provides 80 TB of HDD or 210 TB of NVMe storage capacity for data transfer and edge computing. AWS Snowball Edge Storage Optimized does not support Amazon EKS or other AWS managed services, and it is not suitable for running containers in a Kubernetes environment.

Requirement Analysis: The product catalog search is causing high CPU utilization on the MySQL DB instance, slowing down the website.

ElastiCache Overview: Amazon ElastiCache for Redis can be used to cache frequently accessed data, reducing load on the database.

Lazy Loading: This caching strategy loads data into the cache only when it is requested, improving response times for repeated queries.

Implementation:

Set up an ElastiCache for Redis cluster.

Modify the application to check the cache before querying the database.

Use lazy loading to populate the cache on cache misses.

Conclusion: This approach reduces database load and improves website performance during product catalog searches.

References

Amazon ElastiCache:ElastiCache Documentation

Caching Strategies:ElastiCache Caching Strategies