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NEW QUESTION: 1
A Developer is maintaining a fleet of 50 Amazon EC2 Linux servers. The servers are part of an Amazon EC2 Auto Scaling group, and also use Elastic Load Balancing for load balancing. Occasionally, some application servers are being terminated after failing ELB HTTP health checks. The Developer would like to perform a root cause analysis on the issue, but before being able to access application logs, the server is terminated. How can log collection be automated?
A. Use Auto Scaling lifecycle hooks to put instances in a Pending:Wait state. Create an Amazon CloudWatch Alarm for EC2 Instance Terminate and trigger an AWS Lambda function that executes an SSM Run Command script to collect logs, push them to Amazon S3, and complete the Successful lifecycle action once logs are collected.
B. Use Auto Scaling lifecycle hooks to put instances in a Terminating:Wait state. Create a Config rule for EC2 Instance-terminate Lifecycle and trigger a step function that executes a script to collect logs, push them to Amazon S3, and complete the lifecycle action once logs are collected. Action
C. Use Auto Scaling lifecycle hooks to put instances in a Terminating:Wait state. Create an Amazon CloudWatch Events rule for EC2 Instance- and trigger an AWS Lambda function that executes a SSM Run Command script to collect logs, push them to Amazon S3, terminate Lifecycle Action and complete the lifecycle action once logs are collected.
D. Use Auto Scaling lifecycle hooks to put instances in a Terminating:Wait state. Create an Amazon CloudWatch subscription filter for EC2 Instance and trigger a CloudWatch agent that executes a script to called logs, push them to Amazon S3, and complete the lifecycle action Terminate Successful once logs are collected.
Answer: C
Explanation:
https://docs.aws.amazon.com/autoscaling/ec2/userguide/lifecycle-hooks.html

NEW QUESTION: 2
You are developing an Azure Function App by using Visual Studio. The app will process orders input by an Azure Web App. The web app places the order information into Azure Queue Storage.
You need to review the Azure Function App code shown below.
NOTE: Each correct selection is worth one point.


Answer:
Explanation:

Explanation

Box 1: No
ExpirationTime - The time that the message expires.
InsertionTime - The time that the message was added to the queue.
Box 2: Yes
maxDequeueCount - The number of times to try processing a message before moving it to the poison queue.
Default value is 5.
Box 3: Yes
When there are multiple queue messages waiting, the queue trigger retrieves a batch of messages and invokes function instances concurrently to process them. By default, the batch size is 16. When the number being processed gets down to 8, the runtime gets another batch and starts processing those messages. So the maximum number of concurrent messages being processed per function on one virtual machine (VM) is 24.
Box 4: Yes
References:
https://docs.microsoft.com/en-us/azure/azure-functions/functions-bindings-storage-queue

NEW QUESTION: 3
YIV, Inc. is a multidivisional corporation, which has both intersegment sales and sales to unaffiliated customers. YIV should report segment financial information for each division meeting which of the following criteria?
A. Segment revenue is 10% or more of consolidated revenue.
B. Segment operating profit or loss is 10% or more of combined operating profit or loss of all company segments.
C. Segment operating profit or loss is 10% or more of consolidated profit or loss.
D. Segment revenue is 10% or more of combined revenue of all the company segments.
Answer: D