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NEW QUESTION 51
A Mule application is being designed To receive nightly a CSV file containing millions of records from an external vendor over SFTP, The records from the file need to be validated, transformed. And then written to a database. Records can be inserted into the database in any order.
In this use case, what combination of Mule components provides the most effective and performant way to write these records to the database?
- A. Use a Scatter-Gather to bulk insert records into the database
- B. Use a DataWeave map operation and an Async scope to insert records one by one into the database.
- C. Use a Parallel for Each scope to Insert records one by one into the database
- D. Use a Batch job scope to bulk insert records into the database.
Answer: D
NEW QUESTION 52
What aspect of logging is only possible for Mule applications deployed to customer-hosted Mule runtimes, but NOT for Mule applications deployed to CloudHub?
- A. To send Mule application log entries to Splunk
- B. To log certain messages to a custom log category
- C. To directly referenceone shared and customized log4j2.xml file from multiple Mule applications
- D. To change tog4j2 tog levels in Anypoint Runtime Manager without having to restart the Mule application
Answer: C
NEW QUESTION 53
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. API implementations using an object store must be adjusted to recognize the new nodes and persist to them
- B. External monitoring tools or log aggregators must be configured to recognize the new nodes
- C. A new load balancer must be provisioned to allow traffic to the new nodes in a round-robin fashion
- D. New firewall rules must be configured to accommodate communication between API clients and the new nodes
Answer: B
NEW QUESTION 54
Organization wants to achieve high availability goal for Mule applications in customer hosted runtime plane. Due to the complexity involved, data cannot be shared among of different instances of same Mule application. What option best suits to this requirement considering high availability is very much critical to the organization?
- A. Use third party product to implement load balancer
- B. Use persistent object store
- C. High availability can be achieved only in CloudHub
- D. The cluster can be configured
Answer: A
Explanation:
High availability is about up-time of your application
A) High availability can be achieved only in CloudHub isn’t correct statement. It can be achieved in customer hosted runtime planes as well B) An object store is a facility for storing objects in or across Mule applications. Mule runtime engine (Mule) uses object stores to persist data for eventual retrieval. It can be used for disaster recovery but not for High Availability. Using object store can’t guarantee that all instances won’t go down at once. So not an appropriate choice.
Reference:
C) High availability can be achieved by below two models for on-premise MuleSoft implementations.
1) Mule Clustering – Where multiple Mule servers are available within the same cluster environment and the routing of requests will be done by the load balancer. A cluster is a set of up to eight servers that act as a single deployment target and high-availability processing unit. Application instances in a cluster are aware of each other, share common information, and synchronize statuses. If one server fails, another server takes over processing applications. A cluster can run multiple applications. ( refer left half of the diagram) In given scenario, it’s mentioned that ‘data cannot be shared among of different instances’. So this is not a correct choice.
2) Load balanced standalone Mule instances – The high availability can be achieved even without cluster, with the usage of third party load balancer pointing requests to different Mule servers. This approach does not share or synchronize data between Mule runtimes. Also high availability achieved as load balanced algorithms can be implemented using external load balancer. ( refer right half of the diagram)
NEW QUESTION 55
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