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NEW QUESTION: 1
Which two statements are true about the Launch in Context feature? (Choose two.)
A. They can be used to open external client-based applications only.
B. They can be used to open external or product Web applications.
C. They are available only for Assets and Locations applications
D. They can be used to expose product Web services
E. They can only be configured to open Web-based applications
Answer: B,E
NEW QUESTION: 2
You maintain a SQL Server instance.
You use the Resource Governor to manage processor resources on the server for a newly deployed
application named NewApp. NewApp is assigned to a custom workload group named OurApp.
You need to monitor processor resources.
What should you do?
A. Use the sys.dm_resource_workload_groups dynamic management view to monitor the CPU usage for the default workload group.
B. Use the request_max_cpu_time_sec column of the sys.resource_governor_workload_groups catalog view.
C. Use the sys.dm_os_performance_counters to monitor the CPU usage % counter of the SQLServer: Workload Group Stats performance object for the default workload group.
D. Use the sys.dm_os_performance_counters to monitor the CPU usage % counter of the SQLServer: Workload Group Stats performance object for the OurApp workload group.
Answer: D
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. Execute the New-AzureSchedulerStorageQueueJob PowerShell cmdlet.
B. Check the MOVE TO THE DEAD-LETTER SUBQUEUE option for Expired Messages in the Azure Portal.
C. Execute the Set-AzureServiceBus PowerShell cmdlet.
D. From the Azure Management Portal, create a new queue and name it Dead-Letter.
Answer: B
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.
References: https://www.simple-talk.com/cloud/cloud-data/an-introduction-to-windows- azure-service-bus-brokered-messaging/
NEW QUESTION: 4
A company is deploying a new application that uses Amazon EC2 instances. The company needs a solution to query application logs and AWS account API activity. Which solution will meet these requirements?
A. Use the Amazon CloudWatch agent to send logs from the EC2 instances to Amazon S3. Use AWS CloudTrail to deliver the API logs to Amazon S3. Use Amazon Athena to query both sets of logs in Amazon S3.
B. Use the Amazon CloudWatch agent to send logs from the EC2 instances to Amazon Kinesis. Configure AWS CloudTrail to deliver the API logs to Kinesis. Use Kinesis to load the data into Amazon Redshift. Use Amazon Redshift to query both sets of logs.
C. Use the Amazon CloudWatch agent to send logs from the EC2 instances to Amazon CloudWatch Logs. Configure AWS CloudTrail to deliver the API logs to CloudWatch Logs. Use CloudWatch Logs Insights to query both sets of logs.
D. Use the Amazon CloudWatch agent to send logs from the EC2 instances to Amazon CloudWatch Logs. Configure AWS CloudTrail to deliver the API logs to Amazon S3. Use CloudWatch to query both sets of logs.
Answer: D