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NEW QUESTION: 1
A customer needs to add an EF280 with FC into its existing Brocade fabric but the FC ports in the SANtricity System Manager are showing the FC ports as down and the LED on the FC HIC is amber.
Which three tasks does the installer need to complete to solve this problem? (Choose three.)
A. Verify that the EF280s management port is up
B. Verify that the ports are enabled on the switch
C. Verify that the server HBA has the boot BIOS enabled
D. Verify that the switch zone has the WWPNs for the EF280 and Server HBAs
E. Verify that the cables are plugged into the switch
Answer: B,D,E

NEW QUESTION: 2
速度/デュプレックスネゴシエーションの不一致は、Palo Alto Networksの管理ポートと、それが接続するスイッチポートの間にあります。
管理者はどのようにインターフェイスを1Gbpsに設定しますか？
A. set deviceconfig Interface speed-duplex 1Gbps-half-duplex
B. set deviceconfig interface speed-duplex 1Gbps-full-duplex
C. set deviceconfig system speed-duplex 1Gbps-full-duplex
D. set deviceconfig system speed-duplex 1Gbps-duplex
Answer: C
Explanation:
Reference:
user@PA# set deviceconfig system speed-duplex 100Mbps-full-duplex 100Mbps-full-duplex 100Mbps-half-duplex 100Mbps-half-duplex 10Mbps-full-duplex 10Mbps-full-duplex 10Mbps-half-duplex 10Mbps-half-duplex 1Gbps-full-duplex 1Gbps-full-duplex 1Gbps-half-duplex 1Gbps-half-duplex auto-negotiate auto-negotiate

NEW QUESTION: 3
A solutions architect is designing the cloud architecture for a new application being deployed on AWS The process should run in parallel while adding and removing application nodes as needed based on the number of jobs to be processed The processor application is stateless The solutions architect must ensure that the application is loosely coupled and the job items are durably stored Which design should the solutions architect use?
A. Create an Amazon SQS queue to hold the jobs that needs to be processed Create an Amazon Machine Image (AMI) that consists of the processor application Create a launch template that uses the AMI Create an Auto Scaling group using the launch template Set the scaling policy for the Auto Scaling group to add and remove nodes based on the number of items in the SQS queue
B. Create an Amazon SNS topic to send the jobs that need to be processed Create an Amazon Machine Image (AMI) that consists of the processor application Create a launch configuration that uses the AMI Create an Auto Scaling group using the launch configuration Set the scaling policy for the Auto Scaling group to add and remove nodes based on CPU usage
C. Create an Amazon SNS topic to send the jobs that need to be processed Create an Amazon Machine Image (AMI) that consists of the processor application Create a launch template that uses the AMI Create an Auto Scaling group using the launch template Set the scaling policy for the Auto Scaling group to add and remove nodes based on the number of messages published to the SNS topic.
D. Create an Amazon SQS queue to hold the jobs that need to be processed Create an Amazon Machine Image (AMI) that consists of the processor application Create a launch configuration that uses the AMI Create an Auto Scaling group using the launch configuration Set the scaling policy for the Auto Scaling group to add and remove nodes based on network usage
Answer: A
Explanation:
Amazon Simple Queue Service
Amazon Simple Queue Service (SQS) is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SQS eliminates the complexity and overhead associated with managing and operating message oriented middleware, and empowers developers to focus on differentiating work. Using SQS, you can send, store, and receive messages between software components at any volume, without losing messages or requiring other services to be available. Get started with SQS in minutes using the AWS console, Command Line Interface or SDK of your choice, and three simple commands.
SQS offers two types of message queues. Standard queues offer maximum throughput, best-effort ordering, and at-least-once delivery. SQS FIFO queues are designed to guarantee that messages are processed exactly once, in the exact order that they are sent.
Scaling Based on Amazon SQS
There are some scenarios where you might think about scaling in response to activity in an Amazon SQS queue. For example, suppose that you have a web app that lets users upload images and use them online. In this scenario, each image requires resizing and encoding before it can be published. The app runs on EC2 instances in an Auto Scaling group, and it's configured to handle your typical upload rates. Unhealthy instances are terminated and replaced to maintain current instance levels at all times. The app places the raw bitmap data of the images in an SQS queue for processing. It processes the images and then publishes the processed images where they can be viewed by users. The architecture for this scenario works well if the number of image uploads doesn't vary over time. But if the number of uploads changes over time, you might consider using dynamic scaling to scale the capacity of your Auto Scaling group.
https://aws.amazon.com/sqs/#:~:text=Amazon%20SQS%20leverages%20the%20AWS,queues%20provide%20nearly%20unlimited%20throughput.
https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-using-sqs-queue.html

NEW QUESTION: 4
Which protocol operates below the network layer?
A. DNS
B. ARP
C. UDP
D. ICMP
Answer: B