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NEW QUESTION: 1
A Solutions Architect is responsible for redesigning a legacy Java application to improve its availability, data durability, and scalability. Currently, the application runs on a single high-memory Amazon EC2 instance. It accepts HTTP requests from upstream clients, adds them to an in-memory queue, and responds with a 200 status. A separate application thread reads items from the queue, processes them, and persists the results to an Amazon RDS MySQL instance. The processing time for each item takes 90 seconds on average., most of which is spent waiting on external service calls, but the application is written to process multiple items in parallel.
Traffic to this service is unpredictable. During periods of high load, items may sit in the internal queue for over an hour while the application processes the backing. In addition, the current system has issues with availability and data if the single application node fails.
Clients that access this service cannot be modified. They expect to receive a response to each HTTP request they send within 10 seconds before they will time out and retry the request.
Which approach would improve the availability and durability of the system while decreasing the processing latency and minimizing costs?
A. Create an Amazon API Gateway REST API that uses Lambda proxy integration to pass requests to an AWS Lambda function. Migrate the core processing code to a Lambda function and write a wrapper class that provides a handler method that converts the proxy events to the internal application data model and invokes the processing module.
B. Modify the application to use Amazon DynamoDB instead of Amazon RDS. Configure Auto Scaling for the DynamoDB table. Deploy the application within an Auto Scaling group with a scaling policy based on CPU utilization. Back the in-memory queue with a memory-mapped file to an instance store volume and periodically write that file to Amazon S3.
C. Update the application to use a Redis task queue instead of the in-memory queue. Build a Docker container image for the application. Create an Amazon ECS task definition that includes the application container and a separate container to host Redis. Deploy the new task definition as an ECS service using AWS Fargate and enable Auto Scaling.
D. Create an Amazon API Gateway REST API that uses a service proxy to put items in an Amazon SQS queue. Extract the core processing code from the existing application and update it to pull items from Amazon SQS queue. Extract the core processing code from the existing application and update it to pull items from Amazon SQS instead of an in-memory queue. Deploy the new processing application to smaller EC2 instances within an Auto Scaling group that scales dynamically based on the approximate number of messages in the Amazon SQS queue.
Answer: D

NEW QUESTION: 2
Is this a built-in functionality of the HPE OmniStack data virtualization platform?
Possible Answer = Template driven deployment of physical Infrastructure
A. Yes
B. No
Answer: B

NEW QUESTION: 3
Which of these statements best describes how neighbor adjacencies are formed in a multiaccess OSPF network?
A. Election of the DR and BDR begins only after a router that wants to become either the DR or BDR enters the ExStart state.
B. The router with the lowest Router ID will become the DR and the router with the next lowest Router ID will become the BDR.
C. Only those routers with the Cisco default priority of 0 are eligible to become the DR or BDR.
D. The router with the highest loop-back address will become the DR if two or more routers have the same priority.
E. The router with the highest priority will become the DR
Answer: E
Explanation:
The router with the highest priority is elected the DR on a multiaccess network. A router with a priority of 0 is ineligible to become a DR or BDR. In the event of a tie in priority, the router with the highest router ID is elected the DR. If no router ID has been manually configured on a router, the router uses its numerically highest loopback address as its router ID. If no loopback interfaces have been configured, the router uses its numerically highest IP address of any physical interface. Cisco use a default priority of 1 (higher is better). On a tie, the highest router id wins. If there is still a tie, the highest loopback address wins. Still a tie, the highest active interface IP wins.

NEW QUESTION: 4
In which state do DR and BDR establish adjacency with each OSPF router in the network?
A. Exchange State
B. Loading State
C. Exstart State
D. Init State
Answer: D
Explanation:
DR and BDR will only establish adjacency with each OSPF router on broadcast multiacacess networks. So Init state is the correct answer.

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