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NEW QUESTION 47
Refer to the exhibit.
what is true when using customer-hosted Mule runtimes with the MuleSoft-hosted Anypoint Platform control plane (hybrid deployment)?
- A. API implementations can run successfully in customer-hosted Mule runtimes, even when they are unable to communicate with the control plane
- B. Anypoint Runtime Manager automatically ensures HA in the control plane by creating a new Mule runtime instance in case of a node failure
- C. Anypoint Runtime Manager initiates a network connection to a Mule runtime in order to deploy Mule applications
- D. The MuleSoft-hosted Shared Load Balancer can be used to load balance API invocations to the Mule runtimes
NEW QUESTION 48
True or False. We should always make sure that the APIs being designed and developed are self-servable even if it needs more man-day effort and resources.
- A. TRUE
- B. FALSE
Correct answer: TRUE
>> As per MuleSoft proposed IT Operating Model, designing APIs and making sure that they are discoverable and self-servable is VERY VERY IMPORTANT and decides the success of an API and its application network.
NEW QUESTION 49
What is true about automating interactions with Anypoint Platform using tools such as Anypoint Platform REST APIs, Anypoint CU, or the Mule Maven plugin?
- A. Access to Anypoint Platform APIs and Anypoint CU can be controlled separately through the roles and permissions in Anypoint Platform, so that specific users can get access to Anypoint CLI white others get access to the platform APIs
- B. API policies can be applied to the Anypoint Platform APIs so that ONLY certain LOBs have access to specific functions
- C. By default, the Anypoint CLI and Mule Maven plugin are NOT included in the Mule runtime, so are NOT available to be used by deployed Mule applications
- D. Anypoint Platform APIs can ONLY automate interactions with CloudHub, while the Mule Maven plugin is required for deployment to customer-hosted Mule runtimes
NEW QUESTION 50
A System API is designed to retrieve data from a backend system that has scalability challenges. What API policy can best safeguard the backend system?
- A. SLA-based rate limiting
- B. Auth 2 token enforcement
- C. Client ID enforcement
- D. IPwhitelist
NEW QUESTION 51
A Mule application exposes an HTTPS endpoint and is deployed to three CloudHub workers that do not use static IP addresses. The Mule application expects a high volume of client requests in short time periods. What is the most cost-effective infrastructure component that should be used to serve the high volume of client requests?
- A. An API proxy
- B. A customer-hosted load balancer
- C. Runtime Manager autoscaling
- D. The CloudHub shared load balancer
Correct answer: The CloudHub shared load balancer
The scenario in this question can be split as below:
>> There are 3 CloudHub workers (So, there are already good number of workers to handle high volume of requests)
>> The workers are not using static IP addresses (So, one CANNOT use customer load-balancing solutions without static IPs)
>> Looking for most cost-effective component to load balance the client requests among the workers.
Based on the above details given in the scenario:
>> Runtime autoscaling is NOT at all cost-effective as it incurs extra cost. Most over, there are already 3 workers running which is a good number.
>> We cannot go for a customer-hosted load balancer as it is also NOT most cost-effective (needs custom load balancer to maintain and licensing) and same time the Mule App is not having Static IP Addresses which limits from going with custom load balancing.
>> An API Proxy is irrelevant there as it has no role to play w.r.t handling high volumes or load balancing.
So, the only right option to go with and fits the purpose of scenario being most cost-effective is – using a CloudHub Shared Load Balancer.
NEW QUESTION 52