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Amazon SAA-C03 Exam
- Topic 1: The AWS shared responsibility model/ Access controls and management across multiple accounts
- Topic 2: Design secure access to AWS resources/ Design Secure Architectures
- Topic 3: Control ports, protocols, and network traffic on AWS/ Design secure workloads and applications
- Topic 4: Threat vectors external to AWS/ AWS federated access and identity services
- Topic 5: Encryption and appropriate key management/ Determine appropriate data security controls
- Topic 6: How to appropriately use edge accelerators/ AWS managed services with appropriate use cases
- Topic 7: Storage types with associated characteristics/ Design scalable and loosely coupled architectures
- Topic 8: Storage types with associated characteristics/ Design High-Performing Architectures
- Topic 9: Distributed computing concepts supported by AWS global infrastructure and edge services/ Serverless technologies and patterns
- Topic 10: Database engines with appropriate use cases/ Determine high-performing database solutions
- Topic 11: Design Resilient Architectures/ Design high-performing and elastic compute solutions
- Topic 12: Design highly available and/or fault-tolerant architectures/ Determine high-performing and/or scalable network architectures.
- Topic 13: Determine high-performing data ingestion and transformation solutions/ Determine high-performing and/or scalable storage solutions
- Topic 14: Design cost-optimized compute solutions/ Design Cost-Optimized Architectures
- Topic 15: Design cost-optimized database solutions/ Design cost-optimized storage solutions
Free Amazon SAA-C03 Exam Actual Questions
The questions for SAA-C03 were last updated On Sep. 26, 2023
A company runs a website that stores images of historical events. Website users need the ability to search and view images based on the year that the event in the image occurred. On average, users request each image only once or twice a year The company wants a highly available solution to store and deliver the images to users.
Which solution will meet these requirements MOST cost-effectively?
it allows the company to store and deliver images to users in a highly available and cost-effective way. By storing images in Amazon S3 Standard, the company can use a durable, scalable, and secure object storage service that offers high availability and performance. By using S3 Standard to directly deliver images by using a static website, the company can avoid running web servers and reduce operational overhead. S3 Standard also offers low storage pricing and free data transfer within AWS Regions. Reference:
Amazon S3 Storage Classes
Hosting a Static Website on Amazon S3
A company is planning to use an Amazon DynamoDB table for data storage. The company is concerned about cost optimization. The table will not be used on most mornings. In the evenings, the read and write traffic will often be unpredictable. When traffic spikes occur, they will happen very quickly.
What should a solutions architect recommend?
A social media company wants to allow its users to upload images in an application that is hosted in the AWS Cloud. The company needs a solution that automatically resizes the images so that the images can be displayed on multiple device types. The application experiences unpredictable traffic patterns throughout the day. The company is seeking a highly available solution that maximizes scalability.
What should a solutions architect do to meet these requirements?
By using Amazon S3 and AWS Lambda together, you can create a serverless architecture that provides highly scalable and available image resizing capabilities. Here's how the solution would work: Set up an Amazon S3 bucket to store the original images uploaded by users. Configure an event trigger on the S3 bucket to invoke an AWS Lambda function whenever a new image is uploaded. The Lambda function can be designed to retrieve the uploaded image, perform the necessary resizing operations based on device requirements, and store the resized images back in the S3 bucket or a different bucket designated for resized images. Configure the Amazon S3 bucket to make the resized images publicly accessible for serving to users.
A company has hired a solutions architect to design a reliable architecture for its application. The application consists of one Amazon RDS DB instance and two manually provisioned Amazon EC2 instances that run web servers. The EC2 instances are located in a single Availability Zone.
An employee recently deleted the DB instance, and the application was unavailable for 24 hours as a result. The company is concerned with the overall reliability of its environment.
What should the solutions architect do to maximize reliability of the application's infrastructure?
This answer is correct because it meets the requirements of maximizing the reliability of the application's infrastructure. You can update the DB instance to be Multi-AZ, which means that Amazon RDS automatically provisions and maintains a synchronous standby replica in a different Availability Zone. The primary DB instance is synchronously replicated across Availability Zones to a standby replica to provide data redundancy and minimize latency spikes during system backups. Running a DB instance with high availability can enhance availability during planned system maintenance. It can also help protect your databases against DB instance failure and Availability Zone disruption. You can also enable deletion protection on the DB instance, which prevents the DB instance from being deleted by any user. You can place the EC2 instances behind an Application Load Balancer, which distributes incoming application traffic across multiple targets, such as EC2 instances, in multiple Availability Zones. This increases the availability and fault tolerance of your applications. You can run the EC2 instances in an EC2 Auto Scaling group across multiple Availability Zones, which ensures that you have the correct number of EC2 instances available to handle the load for your application. You can use scaling policies to adjust the number of instances in your Auto Scaling group in response to changing demand.
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZSingleStandby.html
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_DeleteInstance.html#USER_DeleteInstance.DeletionProtection
https://docs.aws.amazon.com/elasticloadbalancing/latest/application/introduction.html
https://docs.aws.amazon.com/autoscaling/ec2/userguide/AutoScalingGroup.html
A company has an application that processes customer orders. The company hosts the application on an Amazon EC2 instance that saves the orders to an Amazon Aurora database. Occasionally when traffic is high: the workload does not process orders fast enough.
What should a solutions architect do to write the orders reliably to the database as quickly as possible?
Amazon SQS is a fully managed message queuing service that can decouple and scale microservices, distributed systems, and serverless applications. By writing orders to an SQS queue, the application can handle spikes in traffic without losing any orders. The EC2 instances in an Auto Scaling group can read from the SQS queue and process orders into the database at a steady pace. The Application Load Balancer can distribute the load across the EC2 instances and provide health checks. This solution meets all the requirements of the question, while the other options do not. Reference:
https://docs.aws.amazon.com/wellarchitected/latest/reliability-pillar/welcome.html
https://aws.amazon.com/architecture/serverless/
https://aws.amazon.com/sqs/
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