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NEW QUESTION: 1
The x86 architecture is a type of data center infrastructure.
A. FALSE
B. TRUE
Answer: B
NEW QUESTION: 2
Which three technologies does Oracle Mobile Suite use for data shaping?
A. XQuery
B. JavaScript Schema
C. XSLT
D. MAF
E. MFL
Answer: A,C,E
NEW QUESTION: 3
A start-up company has a web application based in the us-east-1 Region with multiple Amazon EC2 instances running behind an Application Load Balancer across multiple Availability Zones. As the company's user base grows in the us-west-1 Region, it needs a solution with low latency and high availability.
What should a solutions architect do to accomplish this?
A. Provision EC2 instances in us-west-1. Switch the Application Load Balancer to a Network Load Balancer to achieve cross-Region load balancing.
B. Provision EC2 instances and an Application Load Balancer in us-west-1. Make the load balancer distribute the traffic based on the location of the request.
C. Provision EC2 instances and configure an Application Load Balancer in us-west-1. Configure Amazon Route 53 with a weighted routing policy. Create alias records in Route 53 that point to the Application Load Balancer.
D. Provision EC2 instances and configure an Application Load Balancer in us-west-1. Create an accelerator in AWS Global Accelerator that uses an endpoint group that includes the load balancer endpoints in both Regions.
Answer: D
Explanation:
https://aws.amazon.com/global-accelerator/faqs/
Register endpoints for endpoint groups: You register one or more regional resources, such as Application Load Balancers, Network Load Balancers, EC2 Instances, or Elastic IP addresses, in each endpoint group. Then you can set weights to choose how much traffic is routed to each endpoint.
Endpoints in AWS Global Accelerator
Endpoints in AWS Global Accelerator can be Network Load Balancers, Application Load Balancers, Amazon EC2 instances, or Elastic IP addresses. A static IP address serves as a single point of contact for clients, and Global Accelerator then distributes incoming traffic across healthy endpoints. Global Accelerator directs traffic to endpoints by using the port (or port range) that you specify for the listener that the endpoint group for the endpoint belongs to.
Each endpoint group can have multiple endpoints. You can add each endpoint to multiple endpoint groups, but the endpoint groups must be associated with different listeners.
Global Accelerator continually monitors the health of all endpoints that are included in an endpoint group. It routes traffic only to the active endpoints that are healthy. If Global Accelerator doesn't have any healthy endpoints to route traffic to, it routes traffic to all endpoints.
https://docs.aws.amazon.com/global-accelerator/latest/dg/about-endpoints.html
NEW QUESTION: 4
A customer needs to ensure that the number of threads servicing an application does not exceed the number of database connections available to the application.
What step must you take to address this situation?
A. Configure a Max Threads Constraint and add your application to the list of applications for the Constraint.
B. Configure a Work Manager with a Minimum Threads Constraint tied to the Connection Pool and configure your application to use the Work Manager.
C. Configure a Work Manager with a Maximum Threads Constraint tied to the Connection Pool and configuration your application to use the Work Manager.
D. Configure the startup parameter "-Dwls-maxThreads" to be the same as the number of database connections configured.
E. Configure a global MaxThreads constraint and target it to the server or clusters where your application is deployed.
Answer: C
Explanation:
To manage work in your applications, you define one or more of the following Work
Manager components:
Fair Share Request Class:
Response Time Request Class:
Min Threads Constraint:
Max Threads Constraint:
Capacity Constraint
Context Request Class:
Note:
*max-threads-constraint-This constraint limits the number of concurrent threads executing requests from the constrained work set. The default is unlimited. For example, consider a constraint defined with maximum threads of 10 and shared by 3 entry points. The scheduling logic ensures that not more than 10 threads are executing requests from the three entry points combined. A max-threads-constraint can be defined in terms of a the availability of resource that requests depend upon, such as a connection pool.
A max-threads-constraint might, but does not necessarily, prevent a request class from taking its fair share of threads or meeting its response time goal. Once the constraint is reached the server does not schedule requests of this type until the number of concurrent executions falls below the limit. The server then schedules work based on the fair share or response time goal.
*WebLogic Server prioritizes work and allocates threads based on an execution model that takes into account administrator-defined parameters and actual run-time performance and throughput.
Administrators can configure a set of scheduling guidelines and associate them with one or more applications, or with particular application components.
*WebLogic Server uses a single thread pool, in which all types of work are executed. WebLogic Server prioritizes work based on rules you define, and run-time metrics, including the actual time it takes to execute a request and the rate at which requests are entering and leaving the pool.
The common thread pool changes its size automatically to maximize throughput. The queue monitors throughput over time and based on history, determines whether to adjust the thread count. For example, if historical throughput statistics indicate that a higher thread count increased throughput, WebLogic increases the thread count. Similarly, if statistics indicate that fewer threads did not reduce throughput, WebLogic decreases the thread count. This new strategy makes it easier for administrators to allocate processing resources and manage performance, avoiding the effort and complexity involved in configuring, monitoring, and tuning custom executes queues.
Reference: Using Work Managers to Optimize Scheduled Work