Refer to the exhibit.

A Mule application is being designed to be deployed to several CIoudHub workers. The Mule application's integration logic is to replicate changed Accounts from Satesforce to a backend system every 5 minutes.
A watermark will be used to only retrieve those Satesforce Accounts that have been modified since the last time the integration logic ran.
What is the most appropriate way to implement persistence for the watermark in order to support the required data replication integration logic?

• A.Persistent Anypoint MQ Queue
• B.Persistent Object Store
• C.Persistent Cache Scope
• D.Persistent VM Queue

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Refer to the exhibit.

A Mule application is deployed to a cluster of two customer-hosted Mute runtimes. The Mute application has a flow that polls a database and another flow with an HTTP Listener.
HTTP clients send HTTP requests directly to individual cluster nodes.
What happens to database polling and HTTP request handling in the time after the primary (master) node of the cluster has railed, but before that node is restarted?

• A.Database polling continues Only HTTP requests sent to the remaining node continue to be accepted
• B.Database polling stops All HTTP requests continue to be accepted
• C.Database polling continues All HTTP requests continue to be accepted, but requests to the failed node Incur increased latency
• D.Database polling stops All HTTP requests are rejected

Correct Answer: A

Correct answer is Database polling continues Only HTTP requests sent to the remaining node continue to be accepted. : Architecture descripted in the question could be described as follows.When node 1 is down , DB polling will still continue via node 2 . Also requests which are coming directly to node 2 will also be accepted and processed in BAU fashion. Only thing that wont work is when requests are sent to Node 1 HTTP connector. The flaw with this architecture is HTTP clients are sending HTTP requests directly to individual cluster nodes. By default, clustering Mule runtime engines ensures high system availability. If a Mule runtime engine node becomes unavailable due to failure or planned downtime, another node in the cluster can assume the workload and continue to process existing events and messages

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An automation engineer needs to write scripts to automate the steps of the API lifecycle, including steps to create, publish, deploy and manage APIs and their implementations in Anypoint Platform.
What Anypoint Platform feature can be used to automate the execution of all these actions in scripts in the easiest way without needing to directly invoke the Anypoint Platform REST APIs?

• A.Anypoint CLI
• B.The Mule Maven Plugin
• C.Runtime Manager agent
• D.Automated Policies in API Manager

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Refer to the exhibit.

An organization is sizing an Anypoint VPC for the non-production deployments of those Mule applications that connect to the organization's on-premises systems. This applies to approx. 60 Mule applications. Each application is deployed to two CloudHub i workers. The organization currently has three non-production environments (DEV, SIT and UAT) that share this VPC. The AWS region of the VPC has two AZs.
The organization has a very mature DevOps approach which automatically progresses each application through all non-production environments before automatically deploying to production. This process results in several Mule application deployments per hour, using CloudHub's normal zero-downtime deployment feature.
What is a CIDR block for this VPC that results in the smallest usable private IP address range?

• A.10.0.0.0/24 (256 IPs)
• B.10.0.0.0/22 (1024 IPs)
• C.10.0.0.0/25 (128 IPs)
• D.10.0.0.0/26 (64 IPS)

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Additional nodes are being added to an existing customer-hosted Mule runtime cluster to improve performance. Mule applications deployed to this cluster are invoked by API clients through a load balancer.
What is also required to carry out this change?

• A.New firewall rules must be configured to accommodate communication between API clients and the new nodes
• B.External monitoring tools or log aggregators must be configured to recognize the new nodes
• C.API implementations using an object store must be adjusted to recognize the new nodes and persist to them
• D.A new load balancer must be provisioned to allow traffic to the new nodes in a round-robin fashion

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