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NEW QUESTION: 1
参照関係フィールドは、Personal Editionで使用できます
A. True
B. False
Answer: B
NEW QUESTION: 2
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 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.
B. 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.
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. 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.
Answer: A
NEW QUESTION: 3
Windows Server 2012 R2의 Server Core 설치가 있는 Corel이라는 서버가 있습니다.
Corel에는 Hyper-V 서버 역할이 설치되어 있습니다. Corel에는 다른 타사 하드웨어 공급 업체의 두 가지 네트워크 어댑터가 있습니다.
네트워크 어댑터에 장애가 발생한 경우 연결 손실을 방지하려면 네트워크 트래픽 장애 조치를 구성해야 합니다.
무엇을 사용해야 합니까?
A. Add-NetSwitchTeamMember
B. Netsh.exe
C. New-NetSwitchTeam
D. 설치 기능
Answer: C
NEW QUESTION: 4
You need to set up an Amazon Elastic Compute Cloud (EC2) instance for an application that requires the lowest latency and the highest packet-per-second network performance. The application will talk to other servers in a peered VPC.
Which two of the following components should be part of the design? (Select two.)
A. Select an instance that has support for multiple ENIs.
B. Ensure that proper OS drivers are installed.
C. Select an instance with Amazon Elastic Block Store (EBS)-optimization.
D. Ensure that the instance supports jumbo frames and set 9001 MTU.
E. Select an instance with support for single root I/O virtualization.
Answer: A,E
Explanation:
Explanation/Reference:
References: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/enhanced-networking.html