Pass the MuleSoft MuleSoft Certified Architect MCIA-Level-1 Questions and answers with CertsForce

Data confidentiality involves protecting information from unauthorized access and disclosure. Encrypting a file containing personally identifiable information (PII) is a prime example of ensuring data confidentiality. Encryption transforms the data into a format that is unreadable without the appropriate decryption key, thereby safeguarding sensitive information such as PII from being accessed by unauthorized parties. This measure is essential for compliance with data protection regulations and maintaining the privacy and security of personal data.

References

MuleSoft Security Best Practices

Data Protection and Encryption Standards Documentation

CloudHub, part of MuleSoft's Anypoint Platform, is an example of a Platform as a Service (PaaS) offering. PaaS provides a cloud-based platform that allows developers to build, deploy, and manage applications without dealing with the complexities of maintaining the underlying infrastructure. CloudHub provides the necessary tools and services to develop and deploy Mule applications and APIs in the cloud, offering features such as scalability, high availability, monitoring, and management. This allows developers to focus on writing code and developing applications rather than managing servers and infrastructure.

References

MuleSoft CloudHub Documentation

Overview of Cloud Computing Service Models

Explanation

* XA transaction add tremendous latency so "Reduce Latency" is incorrect option XA transactions define "All or No" commit protocol.

* Each local XA resource manager supports the A.C.I.D properties (Atomicity, Consistency, Isolation, and Durability).

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So correct choice is "Ensure consistency"

Try-Catch Scope for Data Fetching:

Implement a try-catch scope to handle any errors that may occur while fetching account balances from the backend application. This ensures that the main process flow can handle exceptions gracefully without failing entirely.

Async Scope for Inserting Records into Audit Database:

Use the Async scope within the try-catch block to insert records into the audit database. The Async scope allows operations to be performed asynchronously, ensuring that the insertion process does not block the main thread of execution.

By doing this, the primary flow of fetching account balances remains unaffected and can achieve higher throughput as the auditing process runs concurrently.

Ensuring Better Throughput:

The async processing ensures that the time-consuming database insertion for auditing purposes does not impede the performance of the main flow, which is crucial for real-time or near-real-time systems.

References:

MuleSoft Documentation on Async Scope

Best practices for Error Handling in MuleSoft

During the API implementation phase, the integration team should use the API specification to build the MuleSoft application. This involves leveraging the defined API contract to guide the development of the API’s actual implementation. By adhering to the specification, developers ensure that the API meets the agreed-upon requirements and behaviors. This phase includes coding, integrating with backend systems, and ensuring that the implementation aligns with the design and functional requirements outlined in the API specification.

References:

API-led Connectivity Best Practices

API Lifecycle Management

Explanation

Correct answer is By default, the Anypoint CLI and Mule Maven plugin are not included in the Mule runtime Maven is not part of runtime though it is part of studio. You do not need it to deploy in order to deploy your app. Same is the case with CLI.

For handling millions of requests per day with high performance and reliability, JMS (Java Message Service) transactions are the most suitable method. JMS transactions ensure that messages are processed reliably and can be rolled back in case of failures, providing transactional integrity. This is crucial for a trading company where reliable message processing is critical.

Using JMS transactions within Mule clusters allows for the decoupling of message producers and consumers, improving scalability and fault tolerance. JMS provides built-in mechanisms for handling transactional messaging, ensuring that messages are processed once and only once, even in the event of system failures.

References:

MuleSoft Documentation on JMS

According to MuleSoft’s recommended REST conventions, the HTTP method GET should be used to specify how API clients can request data from a specified resource. The GET method is designed to retrieve data from a server at the specified resource. It is one of the most common HTTP methods used in RESTful APIs, ensuring that data retrieval is performed without any side effects on the server or resource.

References:

MuleSoft REST API Design Best Practices

HTTP Methods in RESTful Services

A. Implement HTTP caching policy for all GET endpoints for the master lookup API and implement locking to synchronize access to object store

Comprehensive Detailed Step by Step ExplanationTo resolve the performance issue observed during the performance testing of the Master lookup API, the best approach involves caching and synchronization:

HTTP Caching Policy:

Purpose: Reduces the load on the database by caching the responses for GET requests. Once a response is cached, subsequent requests for the same resource can be served from the cache instead of querying the database.

Implementation: Apply the HTTP caching policy to all GET endpoints of the Master lookup API. This policy ensures that the frequently accessed master lookup data is stored in the cache and served quickly.

Benefits: This significantly reduces the number of database queries, thus lowering the response time and improving performance.

Object Store Locking:

Purpose: Ensures data consistency and prevents race conditions when multiple workers attempt to access or update the cache concurrently.

Implementation: Use a locking mechanism to synchronize access to the object store. This can be achieved by using MuleSoft’s Object Store Connector with lock/unlock operations.

Benefits: Prevents multiple database queries for the same key and ensures that only one worker updates the cache at a time, thus avoiding redundant operations and maintaining data integrity.

By implementing these two strategies, the response time of the Master lookup API will be significantly improved, and the performance issue will be resolved.

References

MuleSoft HTTP Caching Policy

MuleSoft Object Store Connector