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Salesforce MuleSoft-Platform-Architect-I Latest Exam Papers - MuleSoft-Platform-Architect-I Valid Exam Review

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

Topic
Details

Topic 1

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 2

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 3

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 4

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

>> Salesforce MuleSoft-Platform-Architect-I Latest Exam Papers <<

Salesforce Certified MuleSoft Platform Architect I study questions torrent & MuleSoft-Platform-Architect-I training study guide & Salesforce Certified MuleSoft Platform Architect I practice pdf dumps

The Certified Production and MuleSoft-Platform-Architect-I certification is a valuable credential earned by individuals to validate their skills and competence to perform certain job tasks. Your Salesforce Certified MuleSoft Platform Architect I MuleSoft-Platform-Architect-I Certification is usually displayed as proof that you’ve been trained, educated, and prepared to meet the specific requirement for your professional role.

Salesforce Certified MuleSoft Platform Architect I Sample Questions (Q100-Q105):

NEW QUESTION # 100
A Rate Limiting policy is applied to an API implementation to protect the back-end system. Recently, there have been surges in demand that cause some API client POST requests to the API implementation to be rejected with policy-related errors, causing delays and complications to the API clients.
How should the API policies that are applied to the API implementation be changed to reduce the frequency of errors returned to API clients, while still protecting the back-end system?

A. Remove the Rate Limiting policy and add an HTTP Caching policy
B. Keep the Rate Limiting policy and add an SLA-based Spike Control policy
C. Keep the Rate Limiting policy and add 9 Client ID Enforcement policy
D. Remove the Rate Limiting policy and add a Spike Control policy

Answer: B

Explanation:
When managing high traffic to an API, especially with POST requests, it is crucial to ensure the API's policies both protect the back-end systems and provide a smooth client experience. Here's the approach to reducing errors:
Rate Limiting Policy: This policy enforces a limit on the number of requests within a defined time period. However, rate limiting alone may cause clients to hit limits during demand surges, leading to errors.
Adding an SLA-based Spike Control Policy:
Spike Control is designed to handle sudden increases in traffic by smoothing out bursts of requests, which is particularly useful during high-demand periods.
By configuring SLA-based Spike Control, you can define thresholds for specific client tiers. For instance, premium clients might have higher limits or more flexibility in traffic bursts than standard clients.
Why Option D is Correct:
Keeping the Rate Limiting policy continues to provide baseline protection for the back-end.
Adding the SLA-based Spike Control policy allows for differentiated control, where requests are queued or delayed during bursts rather than outright rejected. This approach significantly reduces error responses to clients while still controlling overall traffic.
of Incorrect Options:
Option A (adding Client ID Enforcement) would not reduce errors related to traffic surges.
Option B (HTTP Caching) is not applicable as caching is generally ineffective for non-idempotent requests like POST.
Option C (only Spike Control without Rate Limiting) may leave the back-end system vulnerable to sustained high traffic levels, reducing protection.
Reference
For more information on configuring Rate Limiting and SLA-based Spike Control policies, refer to MuleSoft documentation on API Policies and Rate Limiting.

NEW QUESTION # 101
What do the API invocation metrics provided by Anypoint Platform provide?

A. Data on past API invocations to help identify anomalies and usage patterns across various APIs
B. Measurements of the effectiveness of the application network based on the level of reuse
C. ROI metrics from APIs that can be directly shared with business users
D. Proactive identification of likely future policy violations that exceed a given threat threshold

Answer: A

Explanation:
Correct Answer : Data on past API invocations to help identify anomalies and usage patterns across various APIs
*****************************************
API Invocation metrics provided by Anypoint Platform:
>> Does NOT provide any Return Of Investment (ROI) related information. So the option suggesting it is OUT.
>> Does NOT provide any information w.r.t how APIs are reused, whether there is effective usage of APIs or not etc...
>> Does NOT prodive any prediction information as such to help us proactively identify any future policy violations.
So, the kind of data/information we can get from such metrics is on past API invocations to help identify anomalies and usage patterns across various APIs.

NEW QUESTION # 102
A Platform Architect inherits a legacy monolithic SOAP-based web service that performs a number of tasks, including showing all policies belonging to a client. The service connects to two back-end systems - a life-insurance administration system and a general-insurance administration system - and then queries for insurance policy information within each system, aggregates the results, and presents a SOAP-based response to a user interface (UI).
The architect wants to break up the monolithic web service to follow API-led conventions.
Which part of the service should be put into the process layer?

A. Authenticating and maintaining connections to each of the back-end administration systems
B. Presenting the SOAP-based response to the UI
C. Combining the insurance policy information from the administration systems
D. Querying the data from the administration systems

Answer: C

NEW QUESTION # 103
Due to a limitation in the backend system, a system API can only handle up to 500 requests per second. What is the best type of API policy to apply to the system API to avoid overloading the backend system?

A. Rate limiting - SLA based
B. Rate limiting
C. HTTP caching
D. Spike control

Answer: D

Explanation:
Correct Answer : Spike control
*****************************************
>> First things first, HTTP Caching policy is for purposes different than avoiding the backend system from overloading. So this is OUT.
>> Rate Limiting and Throttling/ Spike Control policies are designed to limit API access, but have different intentions.
>> Rate limiting protects an API by applying a hard limit on its access.
>> Throttling/ Spike Control shapes API access by smoothing spikes in traffic.
That is why, Spike Control is the right option.

NEW QUESTION # 104
A company has created a successful enterprise data model (EDM). The company is committed to building an application network by adopting modern APIs as a core enabler of the company's IT operating model. At what API tiers (experience, process, system) should the company require reusing the EDM when designing modern API data models?

A. At the process and system tiers
B. At the experience, process, and system tiers
C. At the experience and process tiers
D. At the experience and system tiers

Answer: A

Explanation:
Correct Answer : At the process and system tiers
*****************************************
>> Experience Layer APIs are modeled and designed exclusively for the end user's experience. So, the data models of experience layer vary based on the nature and type of such API consumer. For example, Mobile consumers will need light-weight data models to transfer with ease on the wire, where as web-based consumers will need detailed data models to render most of the info on web pages, so on. So, enterprise data models fit for the purpose of canonical models but not of good use for experience APIs.
>> That is why, EDMs should be used extensively in process and system tiers but NOT in experience tier.

NEW QUESTION # 105
......

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