Question: 1
A DevOps team has adequate observability of individual system behavior and performance, but it struggles to track the entire lifecycle of each request across different microservices.
Which additional observability approach should this team consider adopting?
Question: 2
An organization has decided on a cloud migration strategy to minimize the organization's own IT resources. Currently the organization has all of its new applications running on its own premises and uses an on-premises load balancer that exposes all APIs under the base URL (https://api.rutujar.com).
As part of migration strategy, the organization is planning to migrate all of its new applications and load balancer CloudHub.
What is the most straightforward and cost-effective approach to Mule application deployment and load balancing that preserves the public URL's?
Question: 3
A new Mule application under development must implement extensive data transformation logic. Some of the data transformation functionality is already available as external transformation services that are mature and widely used across the organization; the rest is highly specific to the new Mule application.
The organization follows a rigorous testing approach, where every service and application must be extensively acceptance tested before it is allowed to go into production.
What is the best way to implement the data transformation logic for this new Mule application while minimizing the overall testing effort?
Question: 4
A Mule application is built to support a local transaction for a series of operations on a single database. The Mule application has a Scatter-Gather that participates in the local transaction.
What is the behavior of the Scatter-Gather when running within this local transaction?
Question: 5
Which Exchange asset type represents configuration modules that extend the functionality of an API and enforce capabilities such as security?