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

Topic	Details
Topic 1	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 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	Meeting API Quality Goals: This topic focuses on designing resilience strategies, selecting appropriate caching and OS usage scenarios, and describing horizontal scaling benefits.
Topic 4	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 5	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 6	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.

Salesforce Certified MuleSoft Platform Architect I Sample Questions (Q119-Q124):

NEW QUESTION # 119
A Mule application implements an API. The Mule application has an HTTP Listener whose connector configuration sets the HTTPS protocol and hard-codes the port value. The Mule application is deployed to an Anypoint VPC and uses the CloudHub 1.0 Shared Load Balancer (SLB) for all incoming traffic.
Which port number must be assigned to the HTTP Listener's connector configuration so that the Mule application properly receives HTTPS API invocations routed through the SLB?

A. 0
B. 1
C. 2
D. 3

Answer: A

Explanation:
When using CloudHub 1.0's Shared Load Balancer (SLB) for a Mule application configured with HTTPS in an Anypoint VPC, specific ports must be configured for the application to correctly route incoming traffic:
Port Requirement for SLB:
The CloudHub Shared Load Balancer for HTTPS traffic requires that applications listen on port 8092 for secure (HTTPS) communication. This port is reserved specifically for SSL traffic when using SLB with Anypoint VPCs.
Why Option B is Correct:
Setting the HTTP Listener's connector configuration to 8092 aligns with CloudHub requirements for HTTPS via the Shared Load Balancer.
of Incorrect Options:
Option A (8082) is used for non-HTTPS (HTTP) traffic.
Option C (80) and Option D (443) are standard web ports but are not applicable within CloudHub SLB's internal configuration for VPC routing.
Reference
For more information on the Shared Load Balancer port configurations, refer to MuleSoft's documentation on CloudHub and VPC load balancer requirements.

NEW QUESTION # 120
What is most likely NOT a characteristic of an integration test for a REST API implementation?

A. The test needs all source and/or target systems configured and accessible
B. The test prepares a known request payload and validates the response payload
C. The test runs immediately after the Mule application has been compiled and packaged
D. The test is triggered by an external HTTP request

Answer: C

Explanation:
Correct Answer : The test runs immediately after the Mule application has been compiled and packaged
*****************************************
>> Integration tests are the last layer of tests we need to add to be fully covered.
>> These tests actually run against Mule running with your full configuration in place and are tested from external source as they work in PROD.
>> These tests exercise the application as a whole with actual transports enabled. So, external systems are affected when these tests run.
So, these tests do NOT run immediately after the Mule application has been compiled and packaged.
FYI... Unit Tests are the one that run immediately after the Mule application has been compiled and packaged.

NEW QUESTION # 121
Question 10: Skipped
An API implementation returns three X-RateLimit-* HTTP response headers to a requesting API client. What type of information do these response headers indicate to the API client?

A. The error codes that result from throttling
B. A correlation ID that should be sent in the next request
C. The remaining capacity allowed by the API implementation
D. The HTTP response size

Answer: C

Explanation:
Correct Answe r: The remaining capacity allowed by the API implementation.
*****************************************
>> Reference: https://docs.mulesoft.com/api-manager/2.x/rate-limiting-and-throttling-sla-based-policies#response-headers

NEW QUESTION # 122
A team is planning to enhance an Experience API specification, and they are following API-led connectivity design principles.
What is their motivation for enhancing the API?

A. The primary API consumer wants certain kinds of endpoints changed from the Center for Enablement standard to the consumer system standard
B. A Canonical Data Model is being adopted that impacts several types of data included in the API
C. An IP Allowlist policy is being added to the API instances in the Development and Staging environments
D. The underlying System API is updated to provide more detailed data for several heavily used resources

Answer: B

Explanation:
In API-led design, an Experience API is enhanced to improve how data is delivered to end-user applications. One primary reason to enhance an Experience API is when new data standards, such as a Canonical Data Model, are adopted. Here's why:
Canonical Data Model (CDM):
Adopting a CDM standardizes data representations across the organization, making APIs more consistent and easier to consume across various services and applications.
Updating the Experience API ensures that it delivers data in this standardized format, improving interoperability and reusability.
of Correct Answer (D):
A CDM impacts the structure and types of data the API provides, and this update would be directly relevant to an Experience API, as it is the primary point of interaction for applications.
of Incorrect Options:
Option A involves adapting to consumer-specific standards, which is against API-led design principles.
Option B involves changes in System APIs, which don't directly mandate changes to the Experience API unless data formatting adjustments are required.
Option C (IP Allowlist) relates to security rather than API design and would not motivate a functional enhancement of the API.
Reference
For more details on the use of Canonical Data Models in API-led architecture, refer to MuleSoft's guidelines on data standardization and Experience API best practices.

NEW QUESTION # 123
Several times a week, an API implementation shows several thousand requests per minute in an Anypoint Monitoring dashboard, Between these bursts, the dashboard shows between two and five requests per minute. The API implementation is running on Anypoint Runtime Fabric with two non-clustered replicas, reserved vCPU 1.0 and vCPU Limit 2.0.
An API consumer has complained about slow response time, and the dashboard shows the 99 percentile is greater than 120 seconds at the time of the complaint. It also shows greater than 90% CPU usage during these time periods.
In manual tests in the QA environment, the API consumer has consistently reproduced the slow response time and high CPU usage, and there were no other API requests at this time. In a brainstorming session, the engineering team has created several proposals to reduce the response time for requests.
Which proposal should be pursued first?

A. Modify the API client to split the problematic request into smaller, less-demanding requests
B. Increase the number of replicas of the API implementation
C. Throttle the APT client to reduce the number of requests per minute
D. Increase the vCPU resources of the API implementation

Answer: D

Explanation:
Scenario Analysis:
The API implementation is experiencing high CPU usage (over 90%) during bursts of requests, which correlates with slow response times, as indicated by a 99th percentile response time greater than 120 seconds.
The API implementation is running on Anypoint Runtime Fabric with two non-clustered replicas and has a reserved vCPU of 1.0 and a vCPU limit of 2.0.
The high CPU usage during bursts suggests that the current resources may not be sufficient to handle peak loads.
Evaluating the Options:
Option A (Correct Answer): Increasing the vCPU resources for each replica would provide more processing power to handle high traffic volumes, potentially reducing the response time during spikes. Since the CPU usage is consistently high during bursts, this option directly addresses the resource bottleneck.
Option B: Modifying the API client to split requests may reduce individual request load but could be complex to implement on the client side and may not fully address the high CPU issue.
Option C: Increasing the number of replicas could help distribute the load; however, with a high CPU load on each replica, adding more replicas without increasing CPU resources may not fully resolve the problem.
Option D: Throttling the client would reduce the number of requests, but this may not be acceptable if the client needs to maintain a high request rate. It also does not directly address the CPU limitations of the API implementation.
Conclusion:
Option A is the best choice as it addresses the root cause of high CPU usage by increasing the vCPU allocation, allowing the API to handle more requests efficiently. This should be pursued first before considering other options.
Refer to MuleSoft's documentation on Runtime Fabric and vCPU resource allocation for more details on optimizing API performance in high-demand environments.

NEW QUESTION # 124
......

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