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A corporation has deployed multiple mule applications implementing various public and private API's to different cloudhub workers. These API's arc Critical applications that must be highly available and in line with the reliability SLA as defined by stakeholders.
How can API availability (liveliness or readiness) be monitored so that Ops team receives outage notifications?

• A. Enable monitoring of individual applications from Anypoint monitoring
• B. Configure alerts failure conditions in API manager
• C. Use any point functional monitoring test API's functional behavior
• D. Configure alerts with failure conditions in runtime manager

A company is implementing a new Mule application that supports a set of critical functions driven by a rest API enabled, claims payment rules engine hosted on oracle ERP. As designed the mule application requires many data transformation operations as it performs its batch processing logic.
The company wants to leverage and reuse as many of its existing java-based capabilities (classes, objects, data model etc.) as possible What approach should be considered when implementing required data mappings and transformations between Mule application and Oracle ERP in the new Mule application?

• A. Transform by calling any suitable Java class from Dataweave
• B. From the mule application, transform via theXSLT model
• C. Invoke any of the appropriate Java methods directly, create metadata RAML classes and then perform required transformations via Dataweave
• D. Create a new metadata RAML classes in Mule from the appropriate Java objects and then perform transformations via Dataweave

An organization is designing a Mule application to periodically poll an SFTP location for new files containing sales order records and then process those sales orders. Each sales order must be processed exactly once.
To support this requirement, the Mule application must identify and filter duplicate sales orders on the basis of a unique ID contained in each sales order record and then only send the new sales orders to the downstream system.
What is the most idiomatic (used for its intended purpose) Anypoint connector, validator, or scope that can be configured in the Mule application to filter duplicate sales orders on the basis of the unique ID field contained in each sales order record?

• A. Configure a watermark In an On New or Updated File event source to filter unique records by the order ID
• B. Configure a Cache scope to filter and store each record from the received file by the order ID
• C. Configure an Idempotent Message Validator component to filter each record by the order ID
• D. Configure a Database connector to filter and store each record by the order ID

A new upstream API Is being designed to offer an SLA of 500 ms median and 800 ms maximum (99th percentile) response time. The corresponding API implementation needs to sequentially invoke 3 downstream APIs of very similar complexity. The first of these downstream APIs offers the following SLA for its response time: median: 100 ms, 80th percentile: 500 ms, 95th percentile: 1000 ms. If possible, how can a timeout be set in the upstream API for the invocation of the first downstream API to meet the new upstream API's desired SLA?

• A. Set a timeout of 100 ms; that leaves 400 ms for the other two downstream APIs to complete
• B. Set a timeout of 50 ms; this times out more invocations of that API but gives additional room for retries
• C. No timeout is possible to meet the upstream API's desired SLA; a different SLA must be negotiated with the first downstream API or invoke an alternative API
• D. Do not set a timeout; the Invocation of this API Is mandatory and so we must wait until it responds

A Mule application is synchronizing customer data between two different database systems.
What is the main benefit of using eXtended Architecture (XA) transactions over local transactions to synchronize these two different database systems?

• A. An XA transaction handles the largest number of requests in the shortest time
• B. An XA transaction automatically rolls back operations against both database systems if any operation falls
• C. An XA transaction writes to both database systems as fast as possible
• D. An XA transaction synchronizes the database systems with the least amount of Mule configuration or coding