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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 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.
B. 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.
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. 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.
Answer: B
NEW QUESTION: 2
How does a VMware NSX distributed firewall function within a VMware vCloud Director environment?
A. secures application in the organization virtual data center from inside and outside threats
B. displays concurrent connections coming into VMware vCloud Director
C. manages the BGP and OSPF protocols
D. controls configuration of dynamic NAT rules
Answer: A
Explanation:
Explanation/Reference:
Reference: https://fojta.wordpress.com/2017/03/01/vcloud-director-8-20-distributed-firewall/
NEW QUESTION: 3
You develop a SQL Server Integration Services (SSIS) project by using the Package Deployment Model. A package in the project extracts data from a Windows Azure SQL Database database.
The package is deployed to SQL Server.
The package is not producing the desired results.
You need to generate the .mdmp and .tmp debug files in order to troubleshoot the issues.
What should you do?
A. Execute the catalog.create_execution_dump stored procedure with the package execution_id.
B. Run the DTEXEC utility with the /Reporting V option.
C. Run the DTEXEC utility with the /Logger option.
D. Execute the catalog.add_data_tap stored procedure with the package execution_id.
Answer: C
NEW QUESTION: 4
You create a virtual machine scale set named Scale1. Scale1 is configured as shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE:Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1:
The Autoscale scale out rule increases the number of VMs by 2 if the CPU threshold is 80% or higher. The initial instance count is 4 and rises to 6 when the 2 extra instances of VMs are added.
Box 2:
The Autoscale scale in rule decreases the number of VMs by 4 if the CPU threshold is 30% or lower. The initial instance count is 4 and thus cannot be reduced to 0 as the minimum instances is set to 2. Instances are only added when the CPU threshold reaches 80%.
References:
https://docs.microsoft.com/en-us/azure/azure-monitor/platform/autoscale-overview
https://docs.microsoft.com/en-us/azure/azure-monitor/platform/autoscale-best-practices
https://docs.microsoft.com/en-us/azure/azure-monitor/platform/autoscale-common-scale-patterns