To Become Salesforce Certified, Rely on Updated MuleSoft-Platform-Architect-I Dumps

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

Topic	Details
Topic 1	Establishing Organizational and Platform Foundations: Advising on a Center for Enablement (C4E) and identifying KPIs, describing MuleSoft Catalyst's structure, comparing Identity and Client Management options, and identifying data residency types are essential sub-topics.
Topic 2	Monitoring and Analyzing Application Networks: It discusses Anypoint Platform components for data generation, collected metrics, and key alerts. This topic also includes specifying alerts to define Mule applications.
Topic 3	Designing and Sharing APIs: Identifying dependencies between API components, creating and publishing reusable API assets, mapping API data models between Bounded Contexts, and recognizing idempotent HTTP methods.
Topic 4	Architecting and Deploying API Implementations: It covers important aspects like using auto-discovery, identifying VPC requirements, comparing hosting options and understanding testing methods. The topic also involves automated building, testing, and deploying in a DevOps setting.
Topic 5	Meeting API Quality Goals: This topic focuses on designing resilience strategies, selecting appropriate caching and OS usage scenarios, and describing horizontal scaling benefits.
Topic 6	Designing APIs Using System, Process, and Experience Layers: Identifying suitable APIs for business processes, assigning them according to functional focus, and recommending data model approaches are its sub-topics.
Topic 7	Deploying API Implementations to CloudHub: Understanding Object Store usage, selecting worker sizes, predicting app reliability and performance, and comparing load balancers. Avoiding single points of failure in deployments is also its sub-topic.
Topic 8	Governing Web APIs on Anypoint Platform: This topic includes sub-topics related to managing API instances and environments, selecting API policies, enforcing API policies, securing APIs, and understanding OAuth 2.0 relationships.

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Salesforce Certified MuleSoft Platform Architect I Sample Questions (Q59-Q64):

NEW QUESTION # 59
The asset version 2.0.0 of the Order API is successfully published in Exchange and configured in API Manager with the Autodiscovery API ID correctly linked to the API implementation, A new GET method is added to the existing API specification, and after updates, the asset version of the Order API is 2.0.1, What happens to the Autodiscovery API ID when the new asset version is updated in API Manager?

A. The API ID changes, but no changes are needed to the API implementation for the new asset version in the API Autediscovery global element because the API ID is automatically updated
B. The APLID does not change, so no changes to the APT implementation are needed for the new asset version in the API Autodiscovery global element
C. The APL ID changes, so the API implementation must be updated with the latest API ID for the new asset version in the API Autodiscovery global element
D. The APL ID does not change, but the API implementation must be updated in the AP] Autodiscovery global element to indicate the new asset version 2.0.4

Answer: B

Explanation:
Understanding API Autodiscovery in MuleSoft:
API Autodiscovery links an API implementation in Anypoint Platform with its configuration in API Manager. This is controlled by the API ID which is set in the API Autodiscovery element in the Mule application.
The API ID remains consistent across minor updates to the API asset version in Exchange (e.g., from 2.0.0 to 2.0.1) as long as it is the same API.
Effect of Asset Version Update on API Autodiscovery:
When the asset version is updated (e.g., from 2.0.0 to 2.0.1), the API ID remains the same. Therefore, no changes are needed in the Autodiscovery configuration within the Mule application. The Autodiscovery will continue to link the API implementation to the latest version in API Manager.
Evaluating the Options:
Option A: Incorrect, as the API ID does not automatically change with minor asset version updates.
Option B: Incorrect, as the API ID remains the same, so no update is needed in the API implementation.
Option C (Correct Answer): The API ID does not change, so no changes are necessary in the API implementation for the new asset version.
Option D: Incorrect, as there is no need to update the API implementation in the Autodiscovery global element for minor version changes.
Conclusion:
Option C is the correct answer, as the API ID remains unchanged with minor version updates, and no changes are needed in the API Autodiscovery configuration.
Refer to MuleSoft documentation on API Autodiscovery and version management for more details.

NEW QUESTION # 60
A retail company is using an Order API to accept new orders. The Order API uses a JMS queue to submit orders to a backend order management service. The normal load for orders is being handled using two (2) CloudHub workers, each configured with 0.2 vCore. The CPU load of each CloudHub worker normally runs well below 70%. However, several times during the year the Order API gets four times (4x) the average number of orders. This causes the CloudHub worker CPU load to exceed 90% and the order submission time to exceed 30 seconds. The cause, however, is NOT the backend order management service, which still responds fast enough to meet the response SLA for the Order API. What is the MOST resource-efficient way to configure the Mule application's CloudHub deployment to help the company cope with this performance challenge?

A. Permanently increase the number of CloudHub workers by four times (4x) to eight (8) CloudHub workers
B. Use a horizontal CloudHub autoscaling policy that triggers on CPU utilization greater than 70%
C. Permanently increase the size of each of the two (2) CloudHub workers by at least four times (4x) to one (1) vCore
D. Use a vertical CloudHub autoscaling policy that triggers on CPU utilization greater than 70%

Answer: B

Explanation:
Correct Answer : Use a horizontal CloudHub autoscaling policy that triggers on CPU utilization greater than 70%
*****************************************
The scenario in the question is very clearly stating that the usual traffic in the year is pretty well handled by the existing worker configuration with CPU running well below 70%. The problem occurs only "sometimes" occasionally when there is spike in the number of orders coming in.
So, based on above, We neither need to permanently increase the size of each worker nor need to permanently increase the number of workers. This is unnecessary as other than those "occasional" times the resources are idle and wasted.
We have two options left now. Either to use horizontal Cloudhub autoscaling policy to automatically increase the number of workers or to use vertical Cloudhub autoscaling policy to automatically increase the vCore size of each worker.
Here, we need to take two things into consideration:
1. CPU
2. Order Submission Rate to JMS Queue
>> From CPU perspective, both the options (horizontal and vertical scaling) solves the issue. Both helps to bring down the usage below 90%.
>> However, If we go with Vertical Scaling, then from Order Submission Rate perspective, as the application is still being load balanced with two workers only, there may not be much improvement in the incoming request processing rate and order submission rate to JMS queue. The throughput would be same as before. Only CPU utilization comes down.
>> But, if we go with Horizontal Scaling, it will spawn new workers and adds extra hand to increase the throughput as more workers are being load balanced now. This way we can address both CPU and Order Submission rate.
Hence, Horizontal CloudHub Autoscaling policy is the right and best answer.

NEW QUESTION # 61
Which of the following sequence is correct?

A. API Consumer implementes logic to call an API >> API Client requests access to API >> API Implementation routes the request to >> API
B. API Client implementes logic to call an API >> API Consumer requests access to API >> API routes the request to >> API Implementation
C. API Client implementes logic to call an API >> API Consumer requests access to API >> API Implementation routes the request to >> API
D. API Consumer requests access to API >> API Client implementes logic to call an API >> API routes the request to >> API Implementation

Answer: D

Explanation:
Correct Answer : API Consumer requests access to API >> API Client implementes logic to call an API >> API routes the request to >> API Implementation
*****************************************
>> API consumer does not implement any logic to invoke APIs. It is just a role. So, the option stating "API Consumer implementes logic to call an API" is INVALID.
>> API Implementation does not route any requests. It is a final piece of logic where functionality of target systems is exposed. So, the requests should be routed to the API implementation by some other entity. So, the options stating "API Implementation routes the request to >> API" is INVALID
>> The statements in one of the options are correct but sequence is wrong. The sequence is given as "API Client implementes logic to call an API >> API Consumer requests access to API >> API routes the request to >> API Implementation". Here, the statements in the options are VALID but sequence is WRONG.
>> Right option and sequence is the one where API consumer first requests access to API on Anypoint Exchange and obtains client credentials. API client then writes logic to call an API by using the access client credentials requested by API consumer and the requests will be routed to API implementation via the API which is managed by API Manager.

NEW QUESTION # 62
An organization uses various cloud-based SaaS systems and multiple on-premises systems. The on-premises systems are an important part of the organization's application network and can only be accessed from within the organization's intranet.
What is the best way to configure and use Anypoint Platform to support integrations with both the cloud-based SaaS systems and on-premises systems?
A) Use CloudHub-deployed Mule runtimes in an Anypoint VPC managed by Anypoint Platform Private Cloud Edition control plane

B) Use CloudHub-deployed Mule runtimes in the shared worker cloud managed by the MuleSoft-hosted Anypoint Platform control plane

C) Use an on-premises installation of Mule runtimes that are completely isolated with NO external network access, managed by the Anypoint Platform Private Cloud Edition control plane

D) Use a combination of Cloud Hub-deployed and manually provisioned on-premises Mule runtimes managed by the MuleSoft-hosted Anypoint Platform control plane

A. Option A
B. Option D
C. Option C
D. Option B

Answer: D

Explanation:
Correct Answer : Use a combination of CloudHub-deployed and manually provisioned on-premises Mule runtimes managed by the MuleSoft-hosted Platform control plane.
*****************************************
Key details to be taken from the given scenario:
>> Organization uses BOTH cloud-based and on-premises systems
>> On-premises systems can only be accessed from within the organization's intranet Let us evaluate the given choices based on above key details:
>> CloudHub-deployed Mule runtimes can ONLY be controlled using MuleSoft-hosted control plane. We CANNOT use Private Cloud Edition's control plane to control CloudHub Mule Runtimes. So, option suggesting this is INVALID
>> Using CloudHub-deployed Mule runtimes in the shared worker cloud managed by the MuleSoft-hosted Anypoint Platform is completely IRRELEVANT to given scenario and silly choice. So, option suggesting this is INVALID
>> Using an on-premises installation of Mule runtimes that are completely isolated with NO external network access, managed by the Anypoint Platform Private Cloud Edition control plane would work for On-premises integrations. However, with NO external access, integrations cannot be done to SaaS-based apps. Moreover CloudHub-hosted apps are best-fit for integrating with SaaS-based applications. So, option suggesting this is BEST WAY.
The best way to configure and use Anypoint Platform to support these mixed/hybrid integrations is to use a combination of CloudHub-deployed and manually provisioned on-premises Mule runtimes managed by the MuleSoft-hosted Platform control plane.

NEW QUESTION # 63
What are the major benefits of MuleSoft proposed IT Operating Model?

A. 1. Decrease the IT delivery gap
2. Meet various business demands by increasing the IT capacity and forming various IT departments
3. Make consumption of assets at the rate of production
B. 1. Decrease the IT delivery gap
2. Meet various business demands without increasing the IT capacity
3. Make consumption of assets at the rate of production
C. 1. Decrease the IT delivery gap
2. Meet various business demands without increasing the IT capacity
3. Focus on creation of reusable assets first. Upon finishing creation of all the possible assets then inform the LOBs in the organization to start using them

Answer: B

Explanation:
Correct Answer :
1. Decrease the IT delivery gap
2. Meet various business demands without increasing the IT capacity
3. Make consumption of assets at the rate of production.
*****************************************
Reference:

NEW QUESTION # 64
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To Become Salesforce Certified, Rely on Updated MuleSoft-Platform-Architect-I Dumps

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

Reliable New MuleSoft-Platform-Architect-I Test Testking & Passing MuleSoft-Platform-Architect-I Exam is No More a Challenging Task

Salesforce Certified MuleSoft Platform Architect I Sample Questions (Q59-Q64):

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