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NEW QUESTION 54
A team would like to create a project skeleton that developers can use as a starting point when creating API Implementations with Anypoint Studio. This skeleton should help drive consistent use of best practices within the team.
What type of Anypoint Exchange artifact(s) should be added to Anypoint Exchange to publish the project skeleton?
- A. A RAML archetype and reusable trait definitions to be reused across API implementations
- B. An example of an API implementation following best practices
- C. A custom asset with the default API implementation
- D. a Mule application template with the key components and minimal integration logic
Answer: D
NEW QUESTION 55
An integration Mute application is being designed to process orders by submitting them to a backend system for offline processing. Each order will be received by the Mute application through an HTTPS POST and must be acknowledged immediately. Once acknowledged, the order will be submitted to a backend system. Orders that cannot be successfully submitted due to rejections from the backend system will need to be processed manually (outside the backend system).
The Mule application will be deployed to a customer-hosted runtime and is able to use an existing ActiveMQ broker if needed.
The backend system has a track record of unreliability both due to minor network connectivity issues and longer outages.
What idiomatic (used for their intended purposes) combination of Mule application components and ActiveMQ queues are required to ensure automatic submission of orders to the backend system, while minimizing manual order processing?
- A. Until Successful component ActiveMQ long retry Queue ActiveMQ Dead Letter Queue for manual processing
- B. Until Successful component MuleSoft Object Store ActiveMQ is NOT needed or used
- C. An On Error scope Non-persistent VM ActiveMQ Dead Letter Queue for manual processing
- D. An On Error scope MuleSoft Object Store ActiveMQ Dead Letter Queue for manual processing
Answer: A
Explanation:
Correct answer is using below set of activities Until Successful component ActiveMQ long retry Queue ActiveMQ Dead Letter Queue for manual processing We will see why this is correct answer but before that lets understand few of the concepts which we need to know. Until Successful Scope The Until Successful scope processes messages through its processors until the entire operation succeeds. Until Successful repeatedly retries to process a message that is attempting to complete an activity such as: – Dispatching to outbound endpoints, for example, when calling a remote web service that may have availability issues. – Executing a component method, for example, when executing on a Spring bean that may depend on unreliable resources. – A sub-flow execution, to keep re-executing several actions until they all succeed, – Any other message processor execution, to allow more complex scenarios. How this will help requirement : Using Until Successful Scope we can retry sending the order to backend systems in case of error to avoid manual processing later. Retry values can be configured in Until Successful Scope Apache ActiveMQ It is an open source message broker written in Java together with a full Java Message Service client ActiveMQ has the ability to deliver messages with delays thanks to its scheduler. This functionality is the base for the broker redelivery plug-in. The redelivery plug-in can intercept dead letter processing and reschedule the failing messages for redelivery. Rather than being delivered to a DLQ, a failing message is scheduled to go to the tail of the original queue and redelivered to a message consumer. How this will help requirement : If backend application is down for a longer duration where Until Successful Scope wont work, then we can make use of ActiveMQ long retry Queue. The redelivery plug-in can intercept dead letter processing and reschedule the failing messages for redelivery. Mule Reference: https://docs.mulesoft.com/mule-runtime/4.3/migration-core-until-successful
NEW QUESTION 56
An organization’s governance process requires project teams to get formal approval from all key stakeholders for all new Integration design specifications. An integration Mule application Is being designed that interacts with various backend systems. The Mule application will be created using Anypoint Design Center or Anypoint Studio and will then be deployed to a customer-hosted runtime.
What key elements should be included in the integration design specification when requesting approval for this Mule application?
- A. Snapshots of the Mule application’s flows, including their error handling
- B. The credentials to access the backend systems and contact details for the administrator of each system
- C. SLAs and non-functional requirements to access the backend systems
- D. A list of current and future consumers of the Mule application and their contact details
Answer: C
Explanation:
SLAs and non-functional requirements to access the backend systems. Only this option actually speaks to design parameters and reqs. * Below two are technical implementations and not the part of design: – Snapshots of the Mule application’s flows, including their error handling – The credentials to access the backend systems and contact details for the administrator of each system * List of consumers is not relevant to the design
NEW QUESTION 57
A Mule application is deployed to a cluster of two(2) cusomter-hosted Mule runtimes. Currently the node name Alice is the primary node and node named bob is the secondary node. The mule application has a flow that polls a directory on a file system for new files.
The primary node Alice fails for an hour and then restarted.
After the Alice node completely restarts, from what node are the files polled, and what node is now the primary node for the cluster?
- A. Files are polled from Alice node
Bob is the now the primary node - B. Files are polled from Alice node
Alice is now the primary node - C. Files are polled form Bob node
Alice is now the primary node - D. Files are polled form Bob node
Bob is now the primary node
Answer: D
Explanation:
* Mule High Availability Clustering provides basic failover capability for Mule.
* When the primary Mule Runtime becomes unavailable, for example, because of a fatal JVM or hardware failure or it’s taken offline for maintenance, a backup Mule Runtime immediately becomes the primary node and resumes processing where the failed instance left off.
* After a system administrator recovers a failed Mule Runtime server and puts it back online, that server automatically becomes the backup node. In this case, Alice, once up, will become backup
Reference: https://docs.mulesoft.com/mule-runtime/4.3/hadr-guide
So correct choice is : Files are polled form Bob node Bob is now the primary node
NEW QUESTION 58
A Mule application contains a Batch Job with two Batch Steps (Batch_Step_l and Batch_Step_2). A payload with 1000 records is received by the Batch Job.
How many threads are used by the Batch Job to process records, and how does each Batch Step process records within the Batch Job?
- A. Each Batch Job uses SEVERAL THREADS for the Batch Steps Each Batch Step instance receives ONE record at a time as the payload, and BATCH STEP INSTANCES execute IN PARALLEL to process records and Batch Steps in ANY order as fast as possible
- B. Each Batch Job uses SEVERAL THREADS for the Batch Steps Each Batch Step instance receives ONE record at a time as the payload, and RECORDS are processed IN PARALLEL within and between the two Batch Steps
- C. Each Batch Job uses a SINGLE THREAD for all Batch steps Each Batch step instance receives ONE record at a time as the payload, and RECORDS are processed IN ORDER, first through Batch_Step_l and then through Batch_Step_2
- D. Each Batch Job uses a SINGLE THREAD to process a configured block size of record Each Batch Step instance receives A BLOCK OF records as the payload, and BLOCKS of records are processed IN ORDER
Answer: B
Explanation:
* Each Batch Job uses SEVERAL THREADS for the Batch Steps
* Each Batch Step instance receives ONE record at a time as the payload. It’s not received in a block, as it does not wait for multiple records to be completed before moving to next batch step. (So Option D is out of choice)
* RECORDS are processed IN PARALLEL within and between the two Batch Steps.
* RECORDS are not processed in order. Let’s say if second record completes batch_step_1 before record 1, then it moves to batch_step_2 before record 1. (So option C and D are out of choice)
* A batch job is the scope element in an application in which Mule processes a message payload as a batch of records. The term batch job is inclusive of all three phases of processing: Load and Dispatch, Process, and On Complete.
* A batch job instance is an occurrence in a Mule application whenever a Mule flow executes a batch job. Mule creates the batch job instance in the Load and Dispatch phase. Every batch job instance is identified internally using a unique String known as batch job instance id.
NEW QUESTION 59
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