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Question 21

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What is a key difference between synchronous and asynchronous logging from Mule applications?

Synchronous logging writes log messages in a single logging thread but does not block the Mule event being processed by the next event processor
Synchronous logging writes log messages in a single logging thread but does not block the Mule event being processed by the next event processor
Asynchronous logging can improve Mule event processing throughput while also reducing the processing time for each Mule event
Asynchronous logging can improve Mule event processing throughput while also reducing the processing time for each Mule event
Asynchronous logging produces more reliable audit trails with more accurate timestamps
Asynchronous logging produces more reliable audit trails with more accurate timestamps
Synchronous logging within an ongoing transaction writes log messages in the same thread that processes the current Mule event
Synchronous logging within an ongoing transaction writes log messages in the same thread that processes the current Mule event
Suggested answer: B
Explanation:

Types of logging:

A) Synchronous: The execution of thread that is processing messages is interrupted to wait for the log message to be fully handled before it can continue.

● The execution of the thread that is processing your message is interrupted to wait for the log message to be fully output before it can continue

● Performance degrades because of synchronous logging

● Used when the log is used as an audit trail or when logging ERROR/CRITICAL messages

● If the logger fails to write to disk, the exception would raise on the same thread that's currently processing the Mule event. If logging is critical for you, then you can rollback the transaction.

MuleSoft MCIA Level 1 Maintenance image Question 21 explanation 53115 09182024213645000000

MuleSoft MCIA Level 1 Maintenance image Question 21 explanation 53115 09182024213645000000

B) Asynchronous:

● The logging operation occurs in a separate thread, so the actual processing of your message won’t be delayed to wait for the logging to complete

● Substantial improvement in throughput and latency of message processing

● Mule runtime engine (Mule) 4 uses Log4j 2 asynchronous logging by default

● The disadvantage of asynchronous logging is error handling.

● If the logger fails to write to disk, the thread doing the processing won't be aware of any issues writing to the disk, so you won't be able to rollback anything. Because the actual writing of the log gets differed, there's a chance that log messages might never make it to disk and get lost, if Mule were to crash before the buffers are flushed.

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So Correct answer is: Asynchronous logging can improve Mule event processing throughput while also reducing the processing time for each Mule event

asked 18/09/2024
GREGORY DROUIN
39 questions

Question 22

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A global, high-volume shopping Mule application is being built and will be deployed to CloudHub. To improve performance, the Mule application uses a Cache scope that maintains cache state in a CloudHub object store. Web clients will access the Mule application over HTTP from all around the world, with peak volume coinciding with business hours in the web client's geographic location. To achieve optimal performance, what Anypoint Platform region should be chosen for the CloudHub object store?

Choose the same region as to where the Mule application is deployed
Choose the same region as to where the Mule application is deployed
Choose the US-West region, the only supported region for CloudHub object stores
Choose the US-West region, the only supported region for CloudHub object stores
Choose the geographically closest available region for each web client
Choose the geographically closest available region for each web client
Suggested answer: A
Explanation:

CloudHub object store should be in same region where the Mule application is deployed. This will give optimal performance.

Before learning about Cache scope and object store in Mule 4 we understand what is in general Caching is and other related things.

WHAT DOES “CACHING” MEAN?

Caching is the process of storing frequently used data in memory, file system or database which saves processing time and load if it would have to be accessed from original source location every time.

In computing, a cache is a high-speed data storage layer which stores a subset of data, so that future requests for that data are served up faster than is possible by accessing the data’s primary storage location. Caching allows you to efficiently reuse previously retrieved or computed data.

How does Caching work?

The data in a cache is generally stored in fast access hardware such as RAM (Random-access memory) and may also be used in correlation with a software component. A cache’s primary purpose is to increase data retrieval performance by reducing the need to access the underlying slower storage layer.

Caching in MULE 4

In Mule 4 caching can be achieved in mule using cache scope and/or object-store. Cache scope internally uses Object Store to store the data.

What is Object Store

Object Store lets applications store data and states across batch processes, Mule components, and applications, from within an application. If used on cloud hub, the object store is shared between applications deployed on Cluster.

Cache Scope is used in below-mentioned cases:

● Need to store the whole response from the outbound processor

● Data returned from the outbound processor does not change very frequently ? As Cache scope internally handle the cache hit and cache miss scenarios it is more readable Object Store is used in below-mentioned cases:

● Need to store custom/intermediary data

● To store watermarks

● Sharing the data/stage across applications, schedulers, batch.

If CloudHub object store is in same region where the Mule application is deployed it will aid in fast access of data and give optimal performance.

asked 18/09/2024
István Balla
44 questions

Question 23

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An organization is evaluating using the CloudHub shared Load Balancer (SLB) vs creating a CloudHub dedicated load balancer (DLB). They are evaluating how this choice affects the various types of certificates used by CloudHub deployed Mule applications, including MuleSoft-provided, customerprovided, or Mule application-provided certificates. What type of restrictions exist on the types of certificates for the service that can be exposed by the CloudHub Shared Load Balancer (SLB) to external web clients over the public internet?

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Question 24

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An organization is implementing a Quote of the Day API that caches today's quote. What scenario can use the CloudHub Object Store connector to persist the cache's state?

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Question 25

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An organization has several APIs that accept JSON data over HTTP POST. The APIs are all publiclyavailable and are associated with several mobile applications and web applications. The organizationdoes NOT want to use any authentication or compliance policies for these APIs, but at the same time,is worried that some bad actor could send payloads that could somehow compromise theapplications or servers running the API implementations. What out-of-the-box Anypoint Platformpolicy can address exposure to this threat?

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Question 26

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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?

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Question 27

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An API has been updated in Anypoint Exchange by its API producer from version 3.1.1 to 3.2.0 following accepted semantic versioning practices and the changes have been communicated via the API's public portal. The API endpoint does NOT change in the new version. How should the developer of an API client respond to this change?

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Question 28

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When designing an upstream API and its implementation, the development team has been advised to not set timeouts when invoking downstream API. Because the downstream API has no SLA that can be relied upon. This is the only donwstream API dependency of that upstream API. Assume the downstream API runs uninterrupted without crashing. What is the impact of this advice?

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Question 29

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What aspects of a CI/CD pipeline for Mule applications can be automated using MuleSoft-provided Maven plugins?

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Question 30

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What condition requires using a CloudHub Dedicated Load Balancer?

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