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NEW QUESTION: 1
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. Check the MOVE TO THE DEAD-LETTER SUBQUEUE option for Expired Messages in the Azure Portal.
B. From the Azure Management Portal, create a new queue and name it Dead-Letter.
C. Execute the Set-AzureServiceBus PowerShell cmdlet.
D. Execute the New-AzureSchedulerStorageQueueJob PowerShell cmdlet.
Answer: A
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: 2
A space exploration company owns a series of telescopes that capture a large number of images and data of the night sky. The images and data are processed on an application hosted on AWS Fargate in a target group assigned to an Application Load Balancer (ALB). The application is made available through the address https
/'space example com
Scientists require another custom-built application hosted on several Amazon EC2 instances within an Auto Scaling group. This application will be made available from the address https://space.example.com/meteor.
The company needs a solution that can automatically scale from a small number of requests overnight to a large number of requests for a future meteor shower.
What is the MOST operationally efficient solution that meets these requirements?
A. Create a new target group. Configure the Auto Scaling group of the EC2 instances to use the target group Update the ALB by adding a listener rule that redirects /meteor to the new target group.
B. Update the existing target group with the new EC2 instances. Update the application's ALB by adding a listener rule that redirects /meteor to the newly added EC2 instances.
C. Place the ALB behind an Amazon CloudFront distribution. Create a Lambda@Edge function that parses the request URI and adds the path-pattern header with the IP addresses of the EC2 instances to any request for /meteor. Add a listener rule to the ALB that looks for the HTTP header and uses the IP addresses of the EC2 instances to forward the traffic.
D. Create a Network Load Balancer (NLB). Configure the NLB to listen on two ports. Configure a target group for one port to deliver all IP traffic to the Auto Scaling group to process the custom images.
Configure a target group for the second port to deliver all IP traffic to Fargate Use path-based routing in the ALB to route traffic for the URL prefix /meteor to the first target group. Route all other paths to the second target group.
Answer: B

NEW QUESTION: 3
同様のネットワーク設定を持つデバイスに適用できる一般的な構成を構築するためにCisco DNA Centerで使用されるツールはどれですか。
A. アプリケーションポリシー
B. テンプレートエディター
C. 認証テンプレート
D. コマンドランナー
Answer: B
Explanation:
Cisco DNA Center provides an interactive editor called Template Editor to author CLI templates. Template Editor is a centralized CLI management tool to help design a set of device configurations that you need to build devices in a branch. When you have a site, office, or branch that uses a similar set of devices and configurations, you can use Template Editor to build generic configurations and apply the configurations to one or more devices in the branch.
Reference:
network-automation-and-management/dna-center/1-
3/user_guide/b_cisco_dna_center_ug_1_3/b_cisco_dna_center_ug_1_3_chapter_0
111.html

NEW QUESTION: 4
Examine the command:
SQL> RECOVER DATABASE USING BACKUP CONTROLFILE UNTIL CANCEL;
In which two scenarios is this command required?
A. All the data files are missing.
B. All the control files are missing.
C. A data file belonging to a noncritical tablespace is missing.
D. The current online redo log file is missing.
E. The database backup is older than the control file backup.
Answer: C,D