Certified MuleSoft Integration Architect I Exam Questions

Question 6 of 60

A healthcare client must connect its Mule APIs that are deployed to CloudHub 1.0 to systems in an existing on-premises datacenter through private and secure connections.

Which network architecture supports these security requirements to connect the Mule APIs to the on-premises datacenter?

Static IP addresses for the Mule applications deployed to the CloudHub 1.0 Shared Worker Cloud
Matching IP includelisting in the load balancer and firewall rules in the VPC and on-premises network

Static IP addresses for the Mule applications deployed to the CloudHub 1.0 Shared Worker Cloud
Matching firewall rules and IP includelisting in the on-premises network

An Anypoint VPC connected to the on-premises network using a dedicated load balancer
Matching IP includelisting in the load balancer and firewall rules in the VPC and on-premises network

An Anypoint VPC connected to the on-premises network using an IPsec tunnel
Matching firewall rules in the VPC and on-premises network

Question 7 of 60

An organization uses a four-node customer-hosted Mule runtime cluster to host one stateless API implementation. The API is accessed over HTTPS through a load balancer that uses round-robin for load distribution. Each node in the cluster has been sized to accept four times the current number of requests.

Two nodes in the cluster experience a power outage and are no longer available. The load balancer detects the outage and blocks the two unavailable nodes from receiving further HTTP requests.

What performance-related consequence is guaranteed to happen, on average, assuming the remaining cluster nodes are fully operational?

100% increase in the average response time of the API implementation

100% increase in the number of requests received by each remaining node

50% increase in the number of the thread pools on the remaining servers

50% reduction in the throughput of the API implementation

Question 8 of 60

A manufacturing company wants to share inventory updates with dealers D1 and D2 asynchronously and concurrently via Queues Q1 and Q2. Dealer D1 must consume the messages from the Queue Q1, and Dealer D2 must consume the messages from the Queue Q2.

Dealer D1 has implemented a retry mechanism to reprocess the transaction. In case of any errors while processing the inventory updates. Dealer D2 has not implemented any retry mechanism.

How should the dealers acknowledge the message to avoid message loss and minimize impact on the current implementation?

Dealer D1 and Dealer D2 must use AUTO acknowledgement and acknowledge the message after successful processing

Dealer D1 can use AUTO acknowledgement and Dealer D2 can use IMMEDIATE acknowledgement and acknowledge the message after successful processing

Dealer D1 can use AUTO acknowledgement and Dealer D2 must use MANUAL acknowledgement and acknowledge the message after successful processing

Dealer D2 must use AUTO acknowledgement and Dealer D1 can use MANUAL acknowledgement and acknowledge the message after successful processing

Question 9 of 60

An organization plans to use the Anypoint Platform audit logging service to log Anypoint MQ actions.

What consideration must be kept in mind when leveraging Anypoint MQ Audit Logs?

Anypoint MQ Audit Logs include logs for failed Anypoint MQ operations

Anypoint MQ Audit Logs include logs for queue create, delete, modify, and purge operations

Anypoint MQ Audit Logs include logs for sending, receiving, or browsing messages

Question 10 of 60

A healthcare provider is implementing Anypoint Platform to manage its application infrastructure and is using the customer-hosted runtime for its business due to certain financial requirements it must meet. It has built a number of synchronous APIs and is currently hosting these on a Mule runtime on one server. These applications make use of a number of components, including heavy use of Object Stores and VM Queues.

Business has grown rapidly in the last year, and the healthcare provider is starting to receive reports of reliability issues from its applications. The DevOps team indicates that the APIs are currently handling too many requests, and this is overloading the server. The team has also mentioned that there is significant downtime when the server is down for maintenance.

What can the team add or upgrade to mitigate these issues?

Upgrade the networking hardware of the server

Add additional servers in a server group configuration

Add a load balancer and add additional servers in a cluster configuration

Upgrade the CPU and memory of the server