QUESTION: 93

What API policy would LEAST likely be applied to a Process API?

Custom circuit breaker
Client ID enforcement
Rate limiting
JSON threat protection

Answer(s): D

Explanation:

Key to this question lies in the fact that Process API are not meant to be accessed directly by clients. Lets analyze options one by one. Client ID enforcement : This is applied at process API level generally to ensure that identity of API clients is always known and available for API-based analytics Rate Limiting : This policy is applied on Process Level API to secure API's against degradation of service that can happen in case load received is more than it can handle Custom circuit breaker : This is also quite useful feature on process level API's as it saves the API client the wasted time and effort of invoking a failing API. JSON threat protection : This policy is not required at Process API and rather implemented as Experience API's. This policy is used to safeguard application from malicious attacks by injecting malicious code in JSON object. As ideally Process API's are never called from external world, this policy is never used on Process API's Hence correct answer is JSON threat protection MuleSoft Documentation Reference:
https://docs.mulesoft.com/api-manager/2.x/policy-mule3- json-threat

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QUESTION: 94

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
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
Synchronous logging within an ongoing transaction writes log messages in the same thread that processes the current Mule event

Answer(s): 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.

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.

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

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QUESTION: 95

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 US-West region, the only supported region for CloudHub object stores
Choose the geographically closest available region for each web client
Choose a region that is the traffic-weighted geographic center of all web clients

Answer(s): 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.

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QUESTION: 96

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, customer- provided, 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?

Underlying Mule applications need to implement own certificates
Only MuleSoft provided certificates can be used for server side certificate
Only self signed certificates can be used
All certificates which can be used in shared load balancer need to get approved by raising support ticket

Answer(s): B

Explanation:

Correct answer is Only MuleSoft provided certificates can be used for server side certificate
* The CloudHub Shared Load Balancer terminates TLS connections and uses its own server-side certificate.
* You would need to use dedicated load balancer which can enable you to define SSL configurations to provide custom certificates and optionally enforce two-way SSL client authentication.
* To use a dedicated load balancer in your environment, you must first create an Anypoint VPC. Because you can associate multiple environments with the same Anypoint VPC, you can use the same dedicated load balancer for your different environments.
Additional Info on SLB Vs DLB:

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QUESTION: 93

Explanation:

QUESTION: 94

Explanation:

QUESTION: 95

Explanation:

QUESTION: 96

Explanation: