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NEW QUESTION: 1
A bank is re-architecting its mainframe-based credit card approval processing application to a cloud-native application on the AWS cloud.
The new application will receive up to 1,000 requests per second at peak load. There are multiple steps to each transaction, and each step must receive the result of the previous step. The entire request must return an authorization response within less than 2 seconds with zero data loss.
Every request must receive a response. The solution must be Payment Card Industry Data Security Standard (PCI DSS)- compliant.
Which option will meet all of the bank's objectives with the LEAST complexity and LOWEST cost while also meeting compliance requirements?
A. Create an Application Load Balancer with an Amazon ECS cluster on Amazon EC2 Dedicated instances in a target group to process incoming requests. Use Auto Scaling to scale the cluster out/in based on average CPU utilization. Deploy a web service that processes all of the approval steps and returns a JSON object with the approval status.
B. Create an Amazon API Gateway to process inbound requests using a series of AWS Lambda processes, each with an Amazon SQS input queue. As each step completes, it writes its result to the next step's queue. The final step returns a JSON object with the approval status. Open a support case to increase the limit for the number of concurrent Lambdas to allow room for bursts of activity due to the new application.
C. Create an Amazon API Gateway to process inbound requests using a single AWS Lambda task that performs multiple steps and returns a JSON object with the approval status. Open a support case to increase the limit for the number of concurrent Lambdas to allow room for bursts of activity due to the new application.
D. Deploy the application on Amazon EC2 on Dedicated Instances. Use an Elastic Load Balancer in front of a farm of application servers in an Auto Scaling group to handle incoming requests. Scale out/in based on a custom Amazon CloudWatch metric for the number of inbound requests per second after measuring the capacity of a single instance.
Answer: C
Explanation:
A: The process must complete within 2 seconds. This sounds like what Lambda can do.
B\C: Not the most cost efficient compared to Lambda. Scaling may also not be fast enough.
D: SQS may have data loss due to DLQ? SQS also does not process in order so this may be another problem unless you use FIFO.

NEW QUESTION: 2
OpenShift Pipelinesでは、タスクとは何ですか？
A. 操作を実行するために実行される特定のコンテナー
B. Webhookを受信したときに作成されるリソース
C. 1つ以上の順次ステップを定義するカスタムリソース
D. パイプラインを設定するためにオペレーターが実行するステップ
Answer: C
Explanation:
Explanation
https://docs.openshift.com/container-platform/4.5/pipelines/understanding-openshift-pipelines.html Tasks are the building blocks of a Pipeline and consist of sequentially executed Steps. Steps are a series of commands that achieve a specific goal, such as building an image.
Every Task runs as a Pod and each Step runs in its own container within the same Pod. Because Steps run within the same Pod, they have access to the same volumes for caching files, ConfigMaps, and Secrets.
A Task uses inputs parameters, such as a Git resource, and outputs parameters, such as an image in a registry, to interact with other Tasks. They are reusable and can be used in multiple Pipelines.

NEW QUESTION: 3
What is RADIUS Change of Authorization (CoA)?
A. It forces the client to re-authenticate upon roaming to an access point controlled by a foreign mobility controller.
B. It is a mechanism that enables ClearPass to assigned a User-Based Tunnel (UBT) between a switch and controller for Dynamic Segmentation
C. It allows ClearPass to transmit messages to the Network Attached Device/Network Attached Server (NAD/NAS) to modify a user's session status
D. It allows clients to issue a privilege escalation request to ClearPass using RADIUS to switch to TACACS+
Answer: C
Explanation:
Explanation
Reference: http://www.arubanetworks.com/techdocs/ClearPass/Aruba_CPPMOnlineHelp/Content/CPPM_UserGu