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NEW QUESTION 34
A company needs to keep user transaction data in an Amazon DynamoDB table.
The company must retain the data for 7 years.
What is the MOST operationally efficient solution that meets these requirements?
- A. Use AWS Backup to create backup schedules and retention policies for the table.
- B. Create an Amazon EventBridge (Amazon CloudWatch Events) rule to invoke an AWS Lambda function. Configure the Lambda function to back up the table and to store the backup in an Amazon S3 bucket. Set an S3 Lifecycle configuration for the S3 bucket.
- C. Create an on-demand backup of the table by using the DynamoDB console. Store the backup in an Amazon S3 bucket. Set an S3 Lifecycle configuration for the S3 bucket.
- D. Use DynamoDB point-in-time recovery to back up the table continuously.
Answer: C
NEW QUESTION 35
A company runs a stateless web application in production on a group of Amazon EC2 On-Demand Instances behind an Application Load Balancer. The application experiences heavy usage during an 8-hour period each business day. Application usage is moderate and steady overnight Application usage is low during weekends.
The company wants to minimize its EC2 costs without affecting the availability of the application.
Which solution will meet these requirements?
- A. Use Reserved instances for the baseline level of usage Use Spot Instances for any additional capacity that the application needs.
- B. Use Spot Instances for the entire workload.
- C. Use Dedicated Instances for the baseline level of usage. Use On-Demand Instances for any additional capacity that the application needs
- D. Use On-Demand Instances for the baseline level of usage. Use Spot Instances for any additional capacity that the application needs
Answer: A
NEW QUESTION 36
A company runs an application on Amazon EC2 Linux instances across multiple Availability Zones. The application needs a storage layer that is highly available and Portable Operating System Interface (POSIX) compliant. The storage layer must provide maximum data durability and must be shareable across the EC2 instances. The data in the storage layer will be accessed frequency for the first 30 days and will be accessed infrequently alter that time.
Which solution will meet these requirements MOST cost-effectively?
- A. Use the Amazon S3 Standard storage class. Create an S3 Lifecycle policy to move infrequently accessed data to S3 Standard-Infrequent Access (EF3 Standard-IA).
- B. Use the Amazon Elastic File System (Amazon EFS) One Zone storage class. Create a Lifecycle management policy to move infrequently accessed data to EFS One Zone-Infrequent Access (EFS One Zone-IA).
- C. Use the Amazon Elastic File System (Amazon EFS) Standard storage class. Create a Lifecycle management policy to move infrequently accessed data to EFS Standard-Infrequent Access (EFS Standard-IA)
- D. Use the Amazon S3 Standard storage class Create an S3 Lifecycle policy to move infrequently accessed data to S3 Glacier
Answer: C
NEW QUESTION 37
A Solutions Architect is managing a three-tier web application that processes credit card payments and online transactions. Static web pages are used on the front-end tier while the application tier contains a single Amazon EC2 instance that handles long-running processes. The data is stored in a MySQL database. The Solutions Architect is instructed to decouple the tiers to create a highly available application.
Which of the following options can satisfy the given requirement?
- A. Move all the static assets and web pages to Amazon CloudFront. Use Auto Scaling in Amazon EC2 instance. Migrate the database to Amazon RDS with Multi-AZ deployments configuration.
- B. Move all the static assets to Amazon S3. Set concurrency limit in AWS Lambda to move the application to a serverless architecture. Migrate the database to Amazon DynamoDB.
- C. Move all the static assets and web pages to Amazon S3. Re-host the application to Amazon Elastic Container Service (Amazon ECS) containers and enable Service Auto Scaling. Migrate the database to Amazon RDS with Multi-AZ deployments configuration.
- D. Move all the static assets, web pages, and the backend application to a larger instance. Use Auto Scaling in Amazon EC2 instance. Migrate the database to Amazon Aurora.
Answer: C
Explanation:
Amazon Elastic Container Service (ECS) is a highly scalable, high performance container management service that supports Docker containers and allows you to easily run applications on a managed cluster of Amazon EC2 instances. Amazon ECS makes it easy to use containers as a building block for your applications by eliminating the need for you to install, operate, and scale your own cluster management infrastructure. Amazon ECS lets you schedule long-running applications, services, and batch processes using Docker containers. Amazon ECS maintains application availability and allows you to scale your containers up or down to meet your application’s capacity requirements.
The requirement in the scenario is to decouple the services to achieve a highly available architecture. To accomplish this requirement, you must move the existing set up to each AWS services. For static assets, you should use Amazon S3. You can use Amazon ECS for your web application and then migrate the database to Amazon RDS with Multi-AZ deployment. Decoupling your app with application integration services allows them to remain interoperable, but if one service has a failure or spike in workload, it won’t affect the rest of them.
Hence, the correct answer is: Move all the static assets and web pages to Amazon S3. Re-host the application to Amazon Elastic Container Service (Amazon ECS) containers and enable Service Auto Scaling. Migrate the database to Amazon RDS with Multi-AZ deployments configuration.
The option that says: Move all the static assets to Amazon S3. Set concurrency limit in AWS Lambda to move the application to a serverless architecture. Migrate the database to Amazon DynamoDB is incorrect because Lambda functions can’t process long-running processes. Take note that a Lambda function has a maximum processing time of 15 minutes.
The option that says: Move all the static assets, web pages, and the backend application to a larger instance. Use Auto Scaling in Amazon EC2 instance. Migrate the database to Amazon Aurora is incorrect because static assets are more suitable and cost-effective to be stored in S3 instead of storing them in an EC2 instance.
The option that says: Move all the static assets and web pages to Amazon CloudFront. Use Auto Scaling in Amazon EC2 instance. Migrate the database to Amazon RDS with Multi-AZ deployments configuration is incorrect because you can’t store data in Amazon CloudFront. Technically, you only store cache data in CloudFront, but you can’t host applications or web pages using this service. You have to use Amazon S3 to host the static web pages and use CloudFront as the CDN. References:
https://docs.aws.amazon.com/AmazonECS/latest/developerguide/service-auto-scaling.html
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZ.html Check out this Amazon ECS Cheat Sheet:
https://tutorialsdojo.com/amazon-elastic-container-service-amazon-ecs/
NEW QUESTION 38
A company’s facility has badge readers at every entrance throughout the building. When badges are scanned, the readers send a message over HTTPS to indicate who attempted to access that particular entrance.
A solutions architect must design a system to process these messages from the sensors. The solution must be highly available, and the results must be made available for the company’s security team to analyze.
Which system architecture should the solutions architect recommend?
- A. Create an HTTPS endpoint in Amazon API Gateway. Configure the API Gateway endpoint to invoke an AWS Lambda function to process the messages and save the results to an Amazon DynamoDB table.
- B. Use Amazon Route 53 to direct incoming sensor messages to an AWS Lambda function. Configure the Lambda function to process the messages and save the results to an Amazon DynamoDB table.
- C. Create a gateway VPC endpoint for Amazon S3. Configure a Site-to-Site VPN connection from the facility network to the VPC so that sensor data can be written directly to an S3 bucket by way of the VPC endpoint.
- D. Launch an Amazon EC2 instance to serve as the HTTPS endpoint and to process the messages Configure the EC2 instance to save the results to an Amazon S3 bucket.
Answer: A
NEW QUESTION 39
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