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To prepare for the AWS-Solutions-Associate Exam, candidates must have a strong understanding of AWS services, architectures, and best practices. They must also have hands-on experience with AWS, as the exam tests the ability to apply theoretical concepts in practical scenarios. AWS recommends that candidates have at least one year of hands-on experience designing and deploying scalable, highly available, and fault-tolerant systems on AWS before taking the exam.

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The AWS Certified Solutions Architect - Associate (SAA-C02) exam is a certification exam offered by Amazon Web Services (AWS) for individuals interested in validating their skills in designing and deploying scalable, cost-effective, and reliable systems on AWS. AWS-Solutions-Associate Exam is designed for individuals who have experience working with AWS and are looking to enhance their knowledge and expertise in the field of cloud computing.

Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q300-Q305):

NEW QUESTION # 300
A company uses Amazon EC2 instances and AWS Lambda functions to run its application. The company has VPCs with public subnets and private subnets in its AWS account. The EC2 instances run in a private subnet in one of the VPCs. The Lambda functions need direct network access to the EC2 instances for the application to work.
The application will run for at least 1 year. The company expects the number of Lambda functions that the application uses to increase during that time. The company wants to maximize its savings on all application resources and to keep network latency between the services low.
Which solution will meet these requirements?

Answer: A

Explanation:
By purchasing a Compute Savings Plan, the company can save on the costs of running both EC2 instances and Lambda functions. The Lambda functions can be connected to the private subnet that contains the EC2 instances through a VPC endpoint for AWS services or a VPC peering connection. This provides direct network access to the EC2 instances while keeping the traffic within the private network, which helps to minimize network latency. Optimizing the Lambda functions' duration, memory usage, number of invocations, and amount of data transferred can help to further minimize costs and improve performance.
Additionally, using a private subnet helps to ensure that the EC2 instances are not directly accessible from the public internet, which is a security best practice.


NEW QUESTION # 301
You are designing a scalable web application with stateless web servers. Which service or feature is well suited to store user session information?

Answer: D


NEW QUESTION # 302
A company wants to rearchitect a large-scale web application to a serverless microservices architecture. The application uses Amazon EC2 instances and is written in Python.
The company selected one component of the web application to test as a microservice. The component supports hundreds of requests each second. The company wants to create and test the microservice on an AWS solution that supports Python. The solution must also scale automatically and require minimal infrastructure and minimal operational support.
Which solution will meet these requirements?

Answer: B

Explanation:
AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers. You can use Lambda to create and test microservices that are written in Python or other supported languages. Lambda scales automatically to handle the number of requests per second. You only pay for the compute time you consume. Lambda also integrates with other AWS services, such as Amazon API Gateway, Amazon S3, Amazon DynamoDB, and Amazon SQS, to enable event-driven architectures. Lambda has minimal infrastructure andoperational overhead, as you do not need to manage servers, operating systems, patches, or scaling policies.
The other options are not serverless solutions and require more infrastructure and operational support. They also do not scale automatically to handle the number of requests per second. A Spot Fleet is a collection of EC2 instances that run on spare capacity at low prices. However, Spot Instances can be interrupted by AWS at any time, which can affect the availability and performance of your microservice. AWS Elastic Beanstalk is a service that automates the deployment and management of web applications on EC2 instances. However, you still need to provision, configure, and monitor the underlying EC2 instances and load balancers. Amazon EKS is a service that runs Kubernetes on AWS. However, you still need to create, configure, and manage the EC2 instances that form the Kubernetes cluster and nodes. You also need to install and update the Kubernetes software and tools.
References:
What is AWS Lambda?
Building Lambda functions with Python
Create a layer for a Lambda Python function
AWS Lambda - Function in Python
How do I call my AWS Lambda function from a local python script?


NEW QUESTION # 303
A company has an application that scans millions of connected devices for security threats and pushes the scan logs to an Amazon S3 bucket. A total of 70 GB of data is generated each week, and the company needs to store 3 years of data for historical reporting.
The company must process, aggregate, and enrich the data from Amazon S3 by performing complex analytical queries and joins in the least amount of time. The aggregated dataset is visualized on an Amazon QuickSight dashboard.
What should a solutions architect recommend to meet these requirements?

Answer: A


NEW QUESTION # 304
A company has a workflow that sends video files from their onpremise system to AWS for Trans coding. They use EC2 worker instances that pull Trans coding jobs from SQS an appropriate service for this scenario?

Answer: C


NEW QUESTION # 305
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