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NEW QUESTION: 1
An organization has two Amazon EC2 instances:
The first is running an ordering application and an inventory application.
The second is running a queuing system.
During certain times of the year, several thousand orders are placed per second. Some orders were lost when the queuing system was down. Also, the organization's inventory application has the incorrect quantity of products because some orders were processed twice.
What should be done to ensure that the applications can handle the increasing number of orders?
A. Put the ordering and inventory applications into their own Amazon ECS containers and create an Auto Scaling group for each application. Then, deploy the message queuing server in multiple Availability Zones.
B. Put the ordering and inventory applications into their own Amazon EC2 instances, and create an Auto Scaling group for each application. Use Amazon SQS standard queues for the incoming orders, and implement idempotency in the inventory application.
C. Put the ordering and inventory applications into their own Amazon EC2 instances. Write the incoming orders to an Amazon Kinesis data stream Configure AWS Lambda to poll the stream and update the inventory application.
https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/standard-queues.html
D. Put the ordering and inventory applications into their own AWS Lambda functions. Have the ordering application write the messages into an Amazon SQS FIFO queue.
Answer: B
NEW QUESTION: 2
You are trying to use the AWS Systems Manager run command on a set of Instances. The run command on a set of Instances. What can you do to diagnose the issue? Choose 2 answers from the options given Please select:
A. Ensure that the SSM agent is running on the target machine
B. Ensure the right AMI is used for the Instance
C. Ensure the security groups allow outbound communication for the instance
D. Check the /var/log/amazon/ssm/errors.log file
Answer: A,D
Explanation:
The AWS Documentation mentions the following
If you experience problems executing commands using Run Command, there might be a problem with the SSM Agent. Use the following information to help you troubleshoot the agent View Agent Logs The SSM Agent logs information in the following files. The information in these files can help you troubleshoot problems.
On Windows
%PROGRAMDATA%\Amazon\SSM\Logs\amazon-ssm-agent.log
%PROGRAMDATA%\Amazon\SSM\Logs\error.log
The default filename of the seelog is seelog-xml.template. If you modify a seelog, you must rename the file to seelog.xml.
On Linux
/var/log/amazon/ssm/amazon-ssm-agentlog /var/log/amazon/ssm/errors.log
Option C is invalid because the right AMI has nothing to do with the issues. The agent which is used to execute run commands can run on a variety of AMI'S Option D is invalid because security groups does not come into the picture with the communication between the agent and the SSM service For more information on troubleshooting AWS SSM, please visit the following URL:
https://docs.aws.amazon.com/systems-manaeer/latest/userguide/troubleshootine-remote-commands.htmll The correct answers are: Ensure that the SSM agent is running on the target machine. Check the /var/log/amazon/ssm/errors.log file Submit your Feedback/Queries to our Experts
NEW QUESTION: 3
You manage a cloud service that utilizes an Azure Service Bus queue. You need to ensure that messages that are never consumed are retained. What should you do?
A. From the Azure Management Portal, create a new queue and name it Dead-Letter.
B. Execute the New-AzureSchedulerStorageQueueJob PowerShell cmdlet.
C. Execute the Set-AzureServiceBus PowerShell cmdlet.
D. Check the MOVE TO THE DEAD-LETTER SUBQUEUE option for Expired Messages in the Azure Portal.
Answer: D
Explanation:
Deadlettering - From time to time a message may arrive in your queue that just can't be processed.
Each time the message is retrieved for processing the consumer throws an exception and cannot process the message. These are often referred to as poisonous messages and can happen for a variety of reasons, such as a corrupted payload, a message containing an unknown payload inadvertently delivered to a wrong queue, etc. When this happens, you do not want your system to come to grinding to a halt simply because one of the messages can't be processed.
Ideally the message will be set aside to be reviewed later and processing can continue on to other messages in the queue. This process is called 'Deadlettering' a message and the Service Bus Brokered Messaging supports dead lettering by default. If a message fails to be processed and appears back on the queue ten times it will be placed into a dead letter queue. You can control the number of failures it takes for a message to be dead lettered by setting the MaxDeliveryCount property on the queue. When a message is deadlettered it is actually placed on a sub queue which can be accessed just like any other Service Bus queue. In the example used above the dead letter queue path would be samplequeue/$DeadLetterQueue. By default a message will be moved to the dead letter queue if it fails delivery more than 10 times.
Automatic dead lettering does not occur in the ReceiveAndDelete mode as the message has already been removed from the queue.
Reference: https://www.simple-talk.com/cloud/cloud-data/an-introduction-to-windows-azure-service- bus-brokered-messaging/