Salesforce MuleSoft-Integration-Architect-I Exam With Confidence Using Practice Dumps

Exam Code:

MuleSoft-Integration-Architect-I

Exam Name:

Salesforce Certified MuleSoft Platform Integration Architect (Mule-Arch-202)

Certification:

Salesforce MuleSoft

Vendor:

Salesforce

Questions:

273

Last Updated:

Jun 1, 2026

Exam Status:

Stable

MuleSoft-Integration-Architect-I: Salesforce MuleSoft Exam 2025 Study Guide Pdf and Test Engine

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Salesforce Certified MuleSoft Platform Integration Architect (Mule-Arch-202) Questions and Answers

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Question 1

A Mule application is being designed for deployment to a single CloudHub worker. The Mule application will have a flow that connects to a SaaS system to perform some operations each time the flow is invoked.

The SaaS system connector has operations that can be configured to request a short-lived token (fifteen minutes) that can be reused for subsequent connections within the fifteen minute time window. After the token expires, a new token must be requested and stored.

What is the most performant and idiomatic (used for its intended purpose) Anypoint Platform component or service to use to support persisting and reusing tokens in the Mule application to help speed up reconnecting the Mule application to the SaaS application?

Options:

Nonpersistent object store

Persistent object store

Variable

Database

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Question 2

Refer to the exhibit.

An organization uses a 2-node Mute runtime cluster to host one stateless API implementation. The API is accessed over HTTPS through a load balancer that uses round-robin for load distribution.

Two additional nodes have been added to the cluster and the load balancer has been configured to recognize the new nodes with no other change to the load balancer.

What average performance change is guaranteed to happen, assuming all cluster nodes are fully operational?

Options:

50% reduction in the response time of the API

100% increase in the throughput of the API

50% reduction In the JVM heap memory consumed by each node

50% reduction In the number of requests being received by each node

Question 3

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?

Options:

Set a timeout of 100 ms; that leaves 400 ms for the other two downstream APIs to complete

Do not set a timeout; the Invocation of this API Is mandatory and so we must wait until it responds

Set a timeout of 50 ms; this times out more invocations of that API but gives additional room for retries

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

Answer:

Explanation:

Explanation

Before we answer this question , we need to understand what median (50th percentile) and 80th percentile means. If the 50th percentile (median) of a response time is 500ms that means that 50% of my transactions are either as fast or faster than 500ms.

If the 90th percentile of the same transaction is at 1000ms it means that 90% are as fast or faster and only 10% are slower. Now as per upstream SLA , 99th percentile is 800 ms which means 99% of the incoming requests should have response time less than or equal to 800 ms. But as per one of the backend API , their 95th percentile is 1000 ms which means that backend API will take 1000 ms or less than that for 95% of. requests. As there are three API invocation from upstream API , we can not conclude a timeout that can be set to meet the desired SLA as backend SLA's do not support it.

Let see why other answers are not correct.

1) Do not set a timeout --> This can potentially violate SLA's of upstream API

2) Set a timeout of 100 ms; ---> This will not work as backend API has 100 ms as median meaning only 50% requests will be answered in this time and we will get timeout for 50% of the requests. Important thing to note here is, All APIs need to be executed sequentially, so if you get timeout in first API, there is no use of going to second and third API. As a service provider you wouldn't want to keep 50% of your consumers dissatisfied. So not the best option to go with.

*To quote an example: Let's assume you have built an API to update customer contact details.

- First API is fetching customer number based on login credentials

- Second API is fetching Info in 1 table and returning unique key

- Third API, using unique key provided in second API as primary key, updating remaining details

* Now consider, if API times out in first API and can't fetch customer number, in this case, it's useless to call API 2 and 3 and that is why question mentions specifically that all APIs need to be executed sequentially.

3) Set a timeout of 50 ms --> Again not possible due to the same reason as above Hence correct answer is 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

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Salesforce MuleSoft-Integration-Architect-I Exam With Confidence Using Practice Dumps

MuleSoft-Integration-Architect-I: Salesforce MuleSoft Exam 2025 Study Guide Pdf and Test Engine

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Salesforce Certified MuleSoft Platform Integration Architect (Mule-Arch-202) Questions and Answers

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