Topic 1: Exam Pool A
A company has a three-tier web application that is deployed on AWS. The web servers are deployed in a public subnet in a VPC. The application servers and database servers are deployed in private subnets in the same VPC. The company has deployed a third-party virtual firewall appliance from AWS Marketplace in an inspection VPC. The appliance is configured with an IP interface that can accept IP packets. A solutions architect needs to Integrate the web application with the appliance to inspect all traffic to the application before the traffic teaches the web server. Which solution will moot these requirements with the LEAST operational overhead?
A. Create a Network Load Balancer the public subnet of the application's VPC to route the traffic lo the appliance for packet inspection
B. Create an Application Load Balancer in the public subnet of the application's VPC to route the traffic to the appliance for packet inspection
C. Deploy a transit gateway m the inspection VPC Configure route tables to route the incoming pockets through the transit gateway
D. Deploy a Gateway Load Balancer in the inspection VPC Create a Gateway Load Balancer endpoint to receive the incoming packets and forward the packets to the appliance
A company used an Amazon RDS for MySQL DB instance during application testing. Before terminating the DB instance at the end of the test cycle, a solutions architect created two backups. The solutions architect created the first backup by using the mysqldump utility to create a database dump. The solutions architect created the second backup by enabling the final DB snapshot option on RDS termination. The company is now planning for a new test cycle and wants to create a new DB instance from the most recent backup. The company has chosen a MySQL-compatible edition of Amazon Aurora to host the DB instance. Which solutions will create the new DB instance? (Select TWO.)
A. Import the RDS snapshot directly into Aurora.
B. Upload the RDS snapshot to Amazon S3. Then import the RDS snapshot into Aurora.
C. Upload the database dump to Amazon S3. Then import the database dump into Aurora.
D. Use AWS Database Migration Service (AWS DMS) to import the RDS snapshot into Aurora.
E. Upload the database dump to Amazon S3. Then use AWS Database Migration Service (AWS DMS) to import the database dump into Aurora.
Explanation: These answers are correct because they meet the requirements of creating a new DB instance from the most recent backup and using a MySQL-compatible edition of Amazon Aurora to host the DB instance. You can import the RDS snapshot directly into Aurora if the MySQL DB instance and the Aurora DB cluster are running the same version of MySQL. For example, you can restore a MySQL version 5.6 snapshot directly to Aurora MySQL version 5.6, but you can’t restore a MySQL version 5.6 snapshot directly to Aurora MySQL version 5.7. This method is simple and requires the fewest number of steps. You can upload the database dump to Amazon S3 and then import the database dump into Aurora if the MySQL DB instance and the Aurora DB cluster are running different versions of MySQL. For example, you can import a MySQL version 5.6 database dump into Aurora MySQL version 5.7, but you can’t restore a MySQL version 5.6 snapshot directly to Aurora MySQL version 5.7. This method is more flexible and allows you to migrate across different versions of MySQL.
A company wants to reduce the cost of its existing three-tier web architecture. The web, application, and database servers are running on Amazon EC2 instances for the development, test, and production environments. The EC2 instances average 30% CPU utilization during peak hours and 10% CPU utilization during non-peak hours.
The production EC2 instances run 24 hours a day. The development and test EC2 instances run for at least 8 hours each day. The company plans to implement automation to stop the development and test EC2 instances when they are not in use.
Which EC2 instance purchasing solution will meet the company's requirements MOST cost-effectively?
A. Use Spot Instances for the production EC2 instances. Use Reserved Instances for the development and test EC2 instances.
B. Use Reserved Instances for the production EC2 instances. Use On-Demand Instances for the development and test EC2 instances.
C. Use Spot blocks for the production EC2 instances. Use Reserved Instances for the development and test EC2 instances.
D. Use On-Demand Instances for the production EC2 instances. Use Spot blocks for the development and test EC2 instances.
A company runs an SMB file server in its data center. The file server stores large files that the company frequently accesses for up to 7 days after the file creation date. After 7 days, the company needs to be able to access the files with a maximum retrieval time of 24 hours. Which solution will meet these requirements?
A. Use AWS DataSync to copy data that is older than 7 days from the SMB file server to AWS.
B. Create an Amazon S3 File Gateway to increase the company's storage space. Create an S3 Lifecycle policy to transition the data to S3 Glacier Deep Archive after 7 days.
C. Create an Amazon FSx File Gateway to increase the company's storage space. Create an Amazon S3 Lifecycle policy to transition the data after 7 days.
D. Configure access to Amazon S3 for each user. Create an S3 Lifecycle policy to transition the data to S3 Glacier Flexible Retrieval after 7 days.
Explanation: Amazon S3 File Gateway is a service that provides a file-based interface to Amazon S3, which appears as a network file share. It enables you to store and retrieve Amazon S3 objects through standard file storage protocols such as SMB. S3 File Gateway can also cache frequently accessed data locally for low-latency access. S3 Lifecycle policy is a feature that allows you to define rules that automate the management of your objects throughout their lifecycle. You can use S3 Lifecycle policy to transition objects to different storage classes based on their age and access patterns. S3 Glacier Deep Archive is a storage class that offers the lowest cost for long-term data archiving, with a retrieval time of 12 hours or 48 hours. This solution will meet the requirements, as it allows the company to store large files in S3 with SMB file access, and to move the files to S3 Glacier Deep Archive after 7 days for cost savings and compliance.
A company has an application that runs on Amazon EC2 instances and uses an Amazon Aurora database. The EC2 instances connect to the database by using user names and passwords that are stored locally in a file. The company wants to minimize the operational overhead of credential management.
What should a solutions architect do to accomplish this goal?
A. Use AWS Secrets Manager. Turn on automatic rotation.
B. Use AWS Systems Manager Parameter Store. Turn on automatic rotation.
C. Create an Amazon S3 bucket lo store objects that are encrypted with an AWS Key C. Management Service (AWS KMS) encryption key. Migrate the credential file to the S3 bucket. Point the application to the S3 bucket.
D. Create an encrypted Amazon Elastic Block Store (Amazon EBS) volume (or each EC2 instance. Attach the new EBS volume to each EC2 instance. Migrate the credential file to the new EBS volume. Point the application to the new EBS volume.
A solutions architect needs to copy files from an Amazon S3 bucket to an Amazon Elastic File System (Amazon EFS) file system and another S3 bucket. The files must be copied continuously. New files are added to the original S3 bucket consistently. The copied files should be overwritten only if the source file changes. Which solution will meet these requirements with the LEAST operational overhead?
A. Create an AWS DataSync location for both the destination S3 bucket and the EFS file system. Create a task for the destination S3 bucket and the EFS file system. Set the transfer mode to transfer only data that has changed.
B. Create an AWS Lambda function. Mount the file system to the function. Set up an S3 event notification to invoke the function when files are created and changed in Amazon S3. Configure the function to copy files to the file system and the destination S3 bucket.
C. Create an AWS DataSync location for both the destination S3 bucket and the EFS file system. Create a task for the destination S3 bucket and the EFS file system. Set the transfer mode to transfer all data.
D. Launch an Amazon EC2 instance in the same VPC as the file system. Mount the file system. Create a script to routinely synchronize all objects that changed in the origin S3 bucket to the destination S3 bucket and the mounted file system.
Explanation: AWS DataSync is a service that makes it easy to move large amounts of data between AWS storage services and on-premises storage systems. AWS DataSync can copy files from an S3 bucket to an EFS file system and another S3 bucket continuously, as well as overwrite only the files that have changed in the source. This solution will meet the requirements with the least operational overhead, as it does not require any code development or manual intervention.
A survey company has gathered data for several years from areas m\ the United States. The company hosts the data in an Amazon S3 bucket that is 3 TB m size and growing. The company has started to share the data with a European marketing firm that has S3 buckets The company wants to ensure that its data transfer costs remain as low as possible Which solution will meet these requirements?
A. Configure the Requester Pays feature on the company's S3 bucket
B. Configure S3 Cross-Region Replication from the company’s S3 bucket to one of the marketing firm's S3 buckets.
C. Configure cross-account access for the marketing firm so that the marketing firm has access to the company’s S3 bucket.
D. Configure the company’s S3 bucket to use S3 Intelligent-Tiering Sync the S3 bucket to one of the marketing firm’s S3 buckets
Explanation: "Typically, you configure buckets to be Requester Pays buckets when you want to share data but not incur charges associated with others accessing the data. For example, you might use Requester Pays buckets when making available large datasets, such as zip code directories, reference data, geospatial information, or web crawling data."
A company hosts a multi-tier web application on Amazon Linux Amazon EC2 instances behind an Application Load Balancer. The instances run in an Auto Scaling group across multiple Availability Zones. The company observes that the Auto Scaling group launches more On-Demand Instances when the application's end users access high volumes of static web content. The company wants to optimize cost. What should a solutions architect do to redesign the application MOST cost-effectively?
A. Update the Auto Scaling group to use Reserved Instances instead of On-Demand Instances.
B. Update the Auto Scaling group to scale by launching Spot Instances instead of On- Demand Instances.
C. Create an Amazon CloudFront distribution to host the static web contents from an Amazon S3 bucket.
D. Create an AWS Lambda function behind an Amazon API Gateway API to host the static website contents.
Explanation: This answer is correct because it meets the requirements of optimizing cost and reducing the workload on the database. Amazon CloudFront is a content delivery network (CDN) service that speeds up distribution of your static and dynamic web content, such as .html, .css, .js, and image files, to your users. CloudFront delivers your content through a worldwide network of data centers called edge locations. When a user requests content that you’re serving with CloudFront, the request is routed to the edge location that provides the lowest latency (time delay), so that content is delivered with the best possible performance. You can create an Amazon CloudFront distribution to host the static web contents from an Amazon S3 bucket, which is an origin that you define for CloudFront. This way, you can offload the requests for static web content from your EC2 instances to CloudFront, which can improve the performance and availability of your website, and reduce the cost of running your EC2 instances.
A company's website uses an Amazon EC2 instance store for its catalog of items. The company wants to make sure that the catalog is highly available and that the catalog is stored in a durable location.
What should a solutions architect do to meet these requirements?
A. Move the catalog to Amazon ElastiCache for Redis.
B. Deploy a larger EC2 instance with a larger instance store.
C. Move the catalog from the instance store to Amazon S3 Glacier Deep Archive.
D. Move the catalog to an Amazon Elastic File System (Amazon EFS) file system.
Explanation: Moving the catalog to an Amazon Elastic File System (Amazon EFS) file system provides both high availability and durability. Amazon EFS is a fully-managed, highly-available, and durable file system that is built to scale on demand. With Amazon EFS, the catalog data can be stored and accessed from multiple EC2 instances in different availability zones, ensuring high availability. Also, Amazon EFS automatically stores files redundantly within and across multiple availability zones, making it a durable storage option.
A company containerized a Windows job that runs on .NET 6 Framework under a Windows container. The company wants to run this job in the AWS Cloud. The job runs every 10 minutes. The job's runtime varies between 1 minute and 3 minutes. Which solution will meet these requirements MOST cost-effectively?
A. Create an AWS Lambda function based on the container image of the job. Configure Amazon EventBridge to invoke the function every 10 minutes.
B. Use AWS Batch to create a job that uses AWS Fargate resources. Configure the job scheduling to run every 10 minutes.
C. Use Amazon Elastic Container Service (Amazon ECS) on AWS Fargate to run the job. Create a scheduled task based on the container image of the job to run every 10 minutes.
D. Use Amazon Elastic Container Service (Amazon ECS) on AWS Fargate to run the job. Create a standalone task based on the container image of the job. Use Windows task scheduler to run the job every 10 minutes.
Explanation: AWS Lambda supports container images as a packaging format for functions. You can use existing container development workflows to package and deploy Lambda functions as container images of up to 10 GB in size. You can also use familiar tools such as Docker CLI to build, test, and push your container images to Amazon Elastic Container Registry (Amazon ECR). You can then create an AWS Lambda function based on the container image of your job and configure Amazon EventBridge to invoke the function every 10 minutes using a cron expression. This solution will be cost-effective as you only pay for the compute time you consume when your function runs.
A company is developing an application that provides order shipping statistics for retrieval by a REST API. The company wants to extract the shipping statistics, organize the data into an easy-to-read HTML format, and send the report to several email addresses at the same time every morning.
Which combination of steps should a solutions architect take to meet these requirements? (Choose two.)
A. Configure the application to send the data to Amazon Kinesis Data Firehose.
B. Use Amazon Simple Email Service (Amazon SES) to format the data and to send the report by email.
C. Create an Amazon EventBridge (Amazon CloudWatch Events) scheduled event that invokes an AWS Glue job to query the application's API for the data.
D. Create an Amazon EventBridge (Amazon CloudWatch Events) scheduled event that invokes an AWS Lambda function to query the application's API for the data.
E. Store the application data in Amazon S3. Create an Amazon Simple Notification Service (Amazon SNS) topic as an S3 event destination to send the report by
A company needs to store data from its healthcare application. The application's data frequently changes. A new regulation requires audit z access at all levels of the stored data. The company hosts the application on an on-premises infrastructure that is running out of storage capacity. A solutions architect must securely migrate the existing data to AWS while satisfying the new regulation. Which solution will meet these requirements?
A. Use AWS DataSync to move the existing data to Amazon S3. Use AWS CloudTrail to log data events.
B. Use AWS Snowcone to move the existing data to Amazon $3. Use AWS CloudTrail to log management events.
C. Use Amazon S3 Transfer Acceleration to move the existing data to Amazon S3. Use AWS CloudTrail to log data events.
D. Use AWS Storage Gateway to move the existing data to Amazon S3. Use AWS CloudTrail to log management events.
Explanation: This answer is correct because it meets the requirements of securely migrating the existing data to AWS and satisfying the new regulation. AWS DataSync is a service that makes it easy to move large amounts of data online between on-premises storage and Amazon S3. DataSync automatically encrypts data in transit and verifies data integrity during transfer. AWS CloudTrail is a service that records AWS API calls for your account and delivers log files to Amazon S3. CloudTrail can log data events, which show the resource operations performed on or within a resource in your AWS account, such as S3 object-level API activity. By using CloudTrail to log data events, you can audit access at all levels of the stored data.
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