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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q264-Q269):

NEW QUESTION # 264
A company needs to migrate a legacy application from an on-premises data center to the AWS Cloud because of hardware capacity constraints. The application runs 24 hours a day. & days a week,. The application database storage continues to grow over time.
What should a solution architect do to meet these requirements MOST cost-affectivity?

• A. Migrate the application layer to Amazon EC2 Reserved Instances Migrate the data storage layer to Amazon RDS On-Demand Instances.
• B. Migrate the application layer to Amazon EC2 Reserved instances Migrate the data storage layer to Amazon Aurora Reserved Instances.
• C. Migrate the application layer to Amazon EC2 On Demand Amazon Migrate the data storage layer to Amazon RDS Reserved instances.
• D. Migrate the application layer to Amazon FC2 Spot Instances Migrate the data storage layer to Amazon S3.

Answer: B
NEW QUESTION # 265
A company wants to implement a disaster recovery plan for its primary on-premises file storage volume. The file storage volume is mounted from an Internet Small Computer Systems Interface (iSCSI) device on a local storage server. The file storage volume holds hundreds of terabytes (TB) of data.
The company wants to ensure that end users retain immediate access to all file types from the on-premises systems without experiencing latency.
Which solution will meet these requirements with the LEAST amount of change to the company's existing infrastructure?

• A. Provision an Amazon S3 File Gateway as a virtual machine (VM) that is hosted on premises. Set the local cache to 10 TB. Modify existing applications to access the files through the NFS protocol. To recover from a disaster, provision an Amazon EC2 instance and mount the S3 bucket that contains the files.
• B. Provision an AWS Storage Gateway tape gateway. Use a data backup solution to back up all existing data to a virtual tape library. Configure the data backup solution to run nightly after the initial backup is complete. To recover from a disaster, provision an Amazon EC2 instance and restore the data to an Amazon Elastic Block Store (Amazon EBS) volume from the volumes in the virtual tape library.
• C. Provision an AWS Storage Gateway Volume Gateway cached volume. Set the local cache to 10 TB.
  Mount the Volume Gateway cached volume to the existing file server by using iSCSI. and copy all files to the storage volume. Configure scheduled snapshots of the storage volume. To recover from a disaster, restore a snapshot to an Amazon Elastic Block Store (Amazon EBS) volume and attach the EBS volume to an Amazon EC2 instance.
• D. Provision an AWS Storage Gateway Volume Gateway stored volume with the same amount of disk space as the existing file storage volume. Mount the Volume Gateway stored volume to the existing file server by using iSCSI, and copy all files to the storage volume. Configure scheduled snapshots of the storage volume. To recover from a disaster, restore a snapshot to an Amazon Elastic Block Store (Amazon EBS) volume and attach the EBS volume to an Amazon EC2 instance.

Answer: C
NEW QUESTION # 266
An image-processing company has a web application that users use to upload images. The application uploads the images into an Amazon S3 bucket. The company has set up S3 event notifications to publish the object creation events to an Amazon Simple Queue Service (Amazon SQS) standard queue. The SQS queue serves as the event source for an AWS Lambda function that processes the images and sends the results to users through email.
Users report that they are receiving multiple email messages for every uploaded image. A solutions architect determines that SQS messages are invoking the Lambda function more than once, resulting in multiple email messages.
What should the solutions architect do to resolve this issue with the LEAST operational overhead?

• A. Modify the Lambda function to delete each message from the SQS queue immediately after the message is read before processing.
• B. Increase the visibility timeout in the SQS queue to a value that is greater than the total of the function timeout and the batch window timeout.
• C. Set up long polling in the SQS queue by increasing the ReceiveMessage wait time to 30 seconds.
• D. Change the SQS standard queue to an SQS FIFO queue. Use the message deduplication ID to discard duplicate messages.

Answer: B
NEW QUESTION # 267
A company has an On-Demand EC2 instance with an attached EBS volume. There is a scheduled job that creates a snapshot of this EBS volume every midnight at 12 AM when the instance is not used.
One night, there has been a production incident where you need to perform a change on both the instance and on the EBS volume at the same time when the snapshot is currently taking place.
Which of the following scenario is true when it comes to the usage of an EBS volume while the snapshot is in progress?

• A. The EBS volume can be used while the snapshot is in progress.
• B. The EBS volume cannot be detached or attached to an EC2 instance until the snapshot completes
• C. The EBS volume can be used in read-only mode while the snapshot is in progress.
• D. The EBS volume cannot be used until the snapshot completes.

Answer: A Explanation:
Snapshots occur asynchronously; the point-in-time snapshot is created immediately, but the status of the snapshot is pending until the snapshot is complete (when all of the modified blocks have been transferred to Amazon S3), which can take several hours for large initial snapshots or subsequent snapshots where many blocks have changed.

While it is completing, an in-progress snapshot is not affected by ongoing reads and writes to the volume hence, you can still use the EBS volume normally.
When you create an EBS volume based on a snapshot, the new volume begins as an exact replica of the original volume that was used to create the snapshot. The replicated volume loads data lazily in the background so that you can begin using it immediately. If you access data that hasn't been loaded yet, the volume immediately downloads the requested data from Amazon S3, and then continues loading the rest of the volume's data in the background.
References:
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ebs-creating-snapshot.html
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/EBSSnapshots.html
Check out this Amazon EBS Cheat Sheet:
https://tutorialsdojo.com/amazon-ebs/
NEW QUESTION # 268
A transaction processing company has weekly scripted batch jobs that run on Amazon EC2 instances. The EC2 instances are in an Auto Scaling group. The number of transactions can vary but the beseline CPU utilization that is noted on each run is at least 60%. The company needs to provision the capacity 30 minutes before the jobs run.
Currently engineering complete this task by manually modifying the Auto Scaling group parameters. The company does not have the resources to analyze the required capacity trends for the Auto Scaling group counts. The company needs an automated way to modify the Auto Scaling group's capacity.
Which solution will meet these requiements with the LEAST operational overhead?

• A. Ceate a dynamic scalling policy for the Auto Scaling group. Configure the policy to scale based on the CPU utilization metric to 60%.
• B. Create a scheduled scaling polcy for the Auto Scaling group. Set the appropriate desired capacity, minimum capacity, and maximum capacity. Set the recurrence to weekly. Set the start time to 30 minutes. Before the batch jobs run.
• C. Create an Amazon EventBridge event to invoke an AWS Lamda function when the CPU utilization metric value for the Auto Scaling group reaches 60%. Configure the Lambda function to increase the Auto Scaling group's desired capacity and maximum capacity by 20%.
• D. Create a predictive scaling policy for the Auto Scaling group. Configure the policy to scale based on forecast. Set the scaling metric to CPU utilization. Set the target value for the metric to 60%. In the Policy, set the instances to pre-launch 30 minutes before the jobs run.

Answer: D
NEW QUESTION # 269
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