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Download Amazon AWS Certified Solutions Architect – Associate (SAA-C03) Exam Exam Dumps
NEW QUESTION 33
A solutions architect is designing the architecture of a new application being deployed to the AWS Cloud. The application will run on Amazon EC2 On-Demand Instances and will automatically scale across multiple Availability Zones. The EC2 instances will scale up and down frequently throughout the day. An Application Load Balancer (ALB) will handle the load distribution. The architecture needs to support distributed session data management. The company is willing to make changes to code if needed.
What should the solutions architect do to ensure that the architecture supports distributed session data management?
- A. Use Amazon ElastiCache to manage and store session data.
- B. Use the GetSessionToken API operation in AWS Security Token Service (AWS STS) to manage the session
- C. Use Session Manager from AWS Systems Manager to manage the session.
- D. Use session affinity (sticky sessions) of the ALB to manage session data.
Answer: A
Explanation:
https://aws.amazon.com/vi/caching/session-management/
In order to address scalability and to provide a shared data storage for sessions that can be accessible from any individual web server, you can abstract the HTTP sessions from the web servers themselves. A common solution to for this is to leverage an In-Memory Key/Value store such as Redis and Memcached. ElastiCache offerings for In-Memory key/value stores include ElastiCache for Redis, which can support replication, and ElastiCache for Memcached which does not support replication.
NEW QUESTION 34
A technology company has a suite of container-based web applications and serverless solutions that are hosted in AWS. The Solutions Architect must define a standard infrastructure that will be used across development teams and applications. There are application-specific resources too that change frequently, especially during the early stages of application development. Developers must be able to add supplemental resources to their applications, which are beyond what the architects predefined in the system environments and service templates.
Which of the following should be implemented to satisfy this requirement?
- A. Set up AWS Control Tower to automate container-based application deployments. Use AWS Config for application-specific resources that change frequently.
- B. Use the Amazon EKS Anywhere service for deploying container applications and serverless solutions. Create a service instance for each application-specific resource.
- C. Set up AWS Proton for deploying container applications and serverless solutions. Create components from the AWS Proton console and attach them to their respective service instance.
- D. Use the Amazon Elastic Container Service (ECS) Anywhere service for deploying container applications and serverless solutions. Configure Prometheus metrics collection on the ECS cluster and use Amazon Managed Service for Prometheus for monitoring frequently-changing resources
Answer: C
Explanation:
AWS Proton allows you to deploy any serverless or container-based application with increased efficiency, consistency, and control. You can define infrastructure standards and effective continuous delivery pipelines for your organization. Proton breaks down the infrastructure into environment and service (“infrastructure as code” templates).
As a developer, you select a standardized service template that AWS Proton uses to create a service that deploys and manages your application in a service instance. An AWS Proton service is an instantiation of a service template, which normally includes several service instances and a pipeline.
The diagram above displays the high-level overview of a simple AWS Proton workflow.
In AWS Proton administrators define standard infrastructure that is used across development teams and applications. However, development teams might need to include additional resources for their specific use cases, like Amazon Simple Queue Service (Amazon SQS) queues or Amazon DynamoDB tables.
These application-specific resources might change frequently, particularly during early application development. Maintaining these frequent changes in administrator-authored templates might be hard to manage and scale-administrators would need to maintain many more templates without real administrator added value. The alternative-letting application developers author templates for their applications-isn’t ideal either, because it takes away administrators’ ability to standardize the main architecture components, like AWS Fargate tasks. This is where components come in.
With a component, a developer can add supplemental resources to their application, above and beyond what administrators defined in environment and service templates. The developer then attaches the component to a service instance. AWS Proton provisions infrastructure resources defined by the component just like it provisions resources for environments and service instances.
Hence, the correct answer is: Set up AWS Proton for deploying container applications and serverless solutions. Create components from the AWS Proton console and attach them to their respective service instance.
The option that says: Use the Amazon EKS Anywhere service for deploying container applications and serverless solutions. Create a service instance for each application-specific resource is incorrect.
Amazon EKS Anywhere just allows you to manage a Kubernetes cluster on external environments that are supported by AWS. It is better to use AWS Proton with custom Components that can be attached to the different service instances of the company’s application suite.
The option that says: Set up AWS Control Tower to automate container-based application deployments.
Use AWS Config for application-specific resources that change frequently is incorrect. AWS Control Tower is used to simplify the creation of new accounts with preconfigured constraints. It isn’t used to automate application deployments. Moreover, AWS Config is commonly used for monitoring the changes of AWS resources and not the custom resources for serverless or container-based applications in AWS.
A combination of AWS Proton and Components is the most suitable solution for this scenario.
The option that says: Use the Amazon Elastic Container Service (ECS) Anywhere service for deploying container applications and serverless solutions. Configure Prometheus metrics collection on the ECS cluster and use Amazon Managed Service for Prometheus for monitoring frequently-changing resources is incorrect. The Amazon Managed Service for Prometheus is only a Prometheus-compatible monitoring and alerting service that makes it easy to monitor containerized applications and infrastructure at scale.
It is not capable of tracking or maintaining your application-specific resources that change frequently.
References:
https://docs.aws.amazon.com/proton/latest/userguide/Welcome.html
https://aws.amazon.com/blogs/architecture/simplifying-multi-account-ci-cd-deployments-using-aws-proto n/
NEW QUESTION 35
An online retail company has more than 50 million active customers and receives more than 25,000 orders each day. The company collects purchase data for customers and stores this data in Amazon S3. Additional customer data is stored in Amazon RDS.
The company wants to make all the data available to various teams so that the teams can perform analytics. The solution must provide the ability to manage fine-grained permissions for the data and must minimize operational overhead.
Which solution will meet these requirements?
- A. Create an Amazon Redshift cluster. Schedule an AWS Lambda function to periodically copy data from Amazon S3 and Amazon RDS to Amazon Redshift. Use Amazon Redshift access controls to limit access.
- B. Create a data lake by using AWS Lake Formation. Create an AWS Glue JDBC connection to Amazon RDS. Register (he S3 bucket in Lake Formation. Use Lake Formation access controls to limit access.
- C. Schedule an AWS Lambda function to periodically copy data from Amazon RDS to Amazon S3. Create an AWS Glue crawler. Use Amazon Athena to query the data. Use S3 policies to limit access.
- D. Migrate the purchase data to write directly to Amazon RDS. Use RDS access controls to limit access.
Answer: A
NEW QUESTION 36
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