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Salesforce MuleSoft-Integration-Architect-I Exam Syllabus Topics:

Topic	Details
Topic 1	Designing Integration Solutions to Meet Reliability Requirements: It includes selecting alternatives to traditional transactions, recognizing the purpose of various scopes and strategies, differentiating disaster recovery and high availability, and using local and XA transactions.
Topic 2	Initiating Integration Solutions on Anypoint Platform: Summarizing MuleSoft Catalyst and Catalyst Knowledge Hub, differentiating between functional and non-functional requirements, selecting features for designing and managing APIs, and choosing deployment options are its sub-topics.
Topic 3	Designing Integration Solutions to Meet Security Requirements: This topic emphasizes securing access to the Anypoint Platform and APIs, using Anypoint Security, counteracting security vulnerabilities, and understanding audit logging capabilities.
Topic 4	Designing Automated Tests for Mule Applications: This topic covers unit test suites, and scenarios for integration and performance testing.
Topic 5	Designing Integration Solutions to Meet Persistence Requirements: It addresses the usage of VM queues and connectors, object stores and services, and stateful components configured with object stores.
Topic 6	Designing Integration Solutions to Meet Performance Requirements: This topic covers meeting performance and capacity goals, using streaming features, and processing large message sequences.

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Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q75-Q80):

NEW QUESTION # 75
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?

A. Do not set a timeout; the Invocation of this API Is mandatory and so we must wait until it responds
B. Set a timeout of 100 ms; that leaves 400 ms for the other two downstream APIs to complete
C. Set a timeout of 50 ms; this times out more invocations of that API but gives additional room for retries
D. 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: D

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

NEW QUESTION # 76
A mule application designed to fulfil two requirements
a) Processing files are synchronously from an FTPS server to a back-end database using VM intermediary queues for load balancing VM events b) Processing a medium rate of records from a source to a target system using batch job scope Considering the processing reliability requirements for FTPS files, how should VM queues be configured for processing files as well as for the batch job scope if the application is deployed to Cloudhub workers?

A. Use Cloud hub persistent queues for FTPS files processing
There is no need to configure VM queues for the batch jobs scope as it uses by default the worker' s disc for VM queueing
B. Use Cloud hub persistent VM queues for FTPS file processing
Disable VM queue for the batch job scope
C. Use VM connector persistent queues for FTPS file processing Disable VM queue for the batch job scope
D. Use Cloud hub persistent VM queue for FTPS file processing
There is no need to configure VM queues for the batch jobs scope as it uses by default the worker' s JVM memory for VM queueing

Answer: A

Explanation:
When processing files synchronously from an FTPS server to a back-end database using VM intermediary queues for load balancing VM events on CloudHub, reliability is critical. CloudHub persistent queues should be used for FTPS file processing to ensure that no data is lost in case of worker failure or restarts. These queues provide durability and reliability since they store messages persistently.
For the batch job scope, it is not necessary to configure additional VM queues. By default, batch jobs on CloudHub use the worker's disk for VM queueing, which is reliable for handling medium-rate records processing from a source to a target system. This approach ensures that both FTPS file processing and batch job processing meet reliability requirements without additional configuration for batch job scope.
References
* MuleSoft Documentation on CloudHub and VM Queues
* Anypoint Platform Best Practices

NEW QUESTION # 77
What best describes the Fully Qualified Domain Names (FQDNs), also known as DNS entries, created when a Mule application is deployed to the CloudHub Shared Worker Cloud?

A. The FQDNs are determined by the application name chosen, IRRESPECTIVE of the region
B. A fixed number of FQDNs are created, IRRESPECTIVE of the environment and VPC design
C. The FQDNs are determined by the application name, but can be modified by an administrator after deployment
D. The FQDNs are determined by both the application name and the region

Answer: D

Explanation:
Every Mule application deployed to CloudHub receives a DNS entry pointing to the CloudHub. The DNS entry is a CNAME for the CloudHub Shared Load Balancer in the region to which the Mule application is deployed. When we deploy the application on CloudHub, we get a generic url to access the endpoints.
Generic URL looks as below:
<application-name>.<region>.cloudhub.io <application-name> is the deployed application name which is unique across all the MuleSoft clients. <region> is the region name in which an application is deployed.
The
public CloudHub (shared) load balancer already redirects these requests, where myApp is the name of the Mule application deployment to CloudHub: HTTP requests to http://myApp.
<region>.cloudhub.io redirects to
http://mule-worker-myApp.<region>.cloudhub.io:8081
HTTPS traffic to https://myApp.<region>.cloudhub.io redirects to
https://mule-worker-myApp.<region>.cloudhub.io:8082

NEW QUESTION # 78
What API policy would LEAST likely be applied to a Process API?

A. Custom circuit breaker
B. JSON threat protection
C. Rate limiting
D. Client ID enforcement

Answer: B

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

NEW QUESTION # 79
What is an advantage of using OAuth 2.0 client credentials and access tokens over only API keys for API authentication?

A. If the client secret is compromised, the client credentials do not have to be reissued.
B. If the access token is compromised, the client credentials do not to be reissued.
C. If the access token is compromised, I can be exchanged for an API key.
D. If the client ID is compromised, it can be exchanged for an API key

Answer: B

Explanation:
The advantage of using OAuth 2.0 client credentials and access tokens over only API keys for API authentication is that if the access token is compromised, the client credentials do not have to be reissued.
OAuth 2.0 is a secure protocol for authenticating clients and authorizing them to access protected resources. It works by having the client authenticate with the authorization server and receive an access token, which is then used to authenticate requests to the API. If the access token is compromised, it can be revoked and replaced without needing to reissue the client credentials.
Reference:
Chapter 7: Security
Section 7.2: OAuth 2.0

NEW QUESTION # 80
......

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Latest MuleSoft-Integration-Architect-I Exam Tips, Passing MuleSoft-Integration-Architect-I Score

Salesforce MuleSoft-Integration-Architect-I Exam Syllabus Topics:

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Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q75-Q80):

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