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MuleSoft-Integration-Architect-I Exam Duration & Latest MuleSoft-Integration-Architect-I Test Voucher

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

Topic
Details

Topic 1

Designing Automated Tests for Mule Applications: This topic covers unit test suites, and scenarios for integration and performance testing.

Topic 2

Designing and Developing Mule Applications: It includes selecting application properties, using fundamental features, designing with core routers, understanding the Salesforce Connector, and leveraging core connectors.

Topic 3

Designing Architecture Using Integration Paradigms: This topic focuses on creating high-level integration architectures using various paradigms. It includes API-led connectivity, web APIs and HTTP, event-driven APIs, and message brokers, and designing Mule application using messaging patterns and technologies.

Topic 4

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 5

Designing Integration Solutions to Meet Performance Requirements: This topic covers meeting performance and capacity goals, using streaming features, and processing large message sequences.

Topic 6

Designing for the Runtime Plane Technology Architecture: It includes analyzing Mule runtime clusters, designing solutions for CloudHub, choosing Mule runtime domains, leveraging Mule 4 class loader isolation, and understanding the reactive event processing model.

Topic 7

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 8

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.

>> MuleSoft-Integration-Architect-I Exam Duration <<

Salesforce MuleSoft-Integration-Architect-I Exam Duration: Salesforce Certified MuleSoft Integration Architect I - Itexamguide Authoritative Provider

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Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q62-Q67):

NEW QUESTION # 62
Refer to the exhibit.
A Mule application is being designed to expose a SOAP web service to its clients.
What language is typically used inside the web service's interface definition to define the data structures that the web service Is expected to exchange with its clients?

A. JSON Schema
B. WSDL
C. RAMI
D. XSD

Answer: D

Explanation:
XSD In this approach to developing a web service, you begin with an XML schema (XSD file) that defines XML data structures to be used as parameters and return types in the web service operations.
Reference:
https://www.w3schools.com/xml/schema_intro.asp

NEW QUESTION # 63
A banking company is developing a new set of APIs for its online business. One of the critical API's is a master lookup API which is a system API. This master lookup API uses persistent object store. This API will be used by all other APIs to provide master lookup data.

Master lookup API is deployed on two cloudhub workers of 0.1 vCore each because there is a lot of master data to be cached. Master lookup data is stored as a key value pair. The cache gets refreshed if they key is not found in the cache.
Doing performance testing it was observed that the Master lookup API has a higher response time due to database queries execution to fetch the master lookup data.
Due to this performance issue, go-live of the online business is on hold which could cause potential financial loss to Bank.
As an integration architect, which of the below option you would suggest to resolve performance issue?

A. Implement HTTP caching policy for all GET endpoints for the master lookup API and implement locking to synchronize access to object store
B. Implement HTTP caching policy for all GET endpoints for master lookup API
C. Upgrade vCore size from 0.1 vCore to 0,2 vCore
D. Add an additional Cloudhub worker to provide additional capacity

Answer: A

NEW QUESTION # 64
An organization plans to use the Anypoint Platform audit logging service to log Anypoint MQ actions.
What consideration must be kept in mind when leveraging Anypoint MQ Audit Logs?

A. Anypoint MQ Audit Logs include logs for queue create, delete, modify, and purge operations
B. Anypoint MQ Audit Logs include logs for sending, receiving, or browsing messages
C. Anypoint MQ Audit Logs include fogs for failed Anypoint MQ operations

Answer: A

Explanation:
When leveraging Anypoint MQ Audit Logs, it's important to note that they include logs for operations such as creating, deleting, modifying, and purging queues. These logs are crucial for auditing and monitoring the state and changes made to the message queues within Anypoint MQ. However, they do not include logs for individual message actions like sending, receiving, or browsing messages.
References
* MuleSoft Documentation on Anypoint MQ Audit Logs
* Anypoint Platform Audit Logging Overview

NEW QUESTION # 65
What approach configures an API gateway to hide sensitive data exchanged between API consumers and API implementations, but can convert tokenized fields back to their original value for other API requests or responses, without having to recode the API implementations?

A. Create a masking format and use it to apply a tokenization policy in an API gateway to mask sensitive values in message payloads with characters, and apply a corresponding detokenization policy to return the original values to other APIs
B. Use a field-level encryption policy in an API gateway to replace sensitive fields in message payload with encrypted values, and apply a corresponding field-level decryption policy to return the original values to other APIs
C. Create both masking and tokenization formats and use both to apply a tokenization policy in an API gateway to mask sensitive values in message payloads withcharacters, and apply a corresponding detokenization policy to return the original values to other APIs
D. Create a tokenization format and use it to apply a tokenization policy in an API gateway to replace sensitive fields in message payload with similarly formatted tokenized values, and apply a corresponding detokenization policy to return the original values to other APIs

Answer: D

Explanation:
To hide sensitive data exchanged between API consumers and API implementations while allowing the conversion of tokenized fields back to their original values for other API requests or responses, the best approach is to use tokenization. This involves:
* Tokenization Format: Create a tokenization format that will be used to apply a tokenization policy in the API gateway. This format ensures that sensitive fields in message payloads are replaced with tokenized values that maintain a similar format, making them less recognizable as sensitive data.
* Tokenization Policy: Apply a tokenization policy in the API gateway that replaces sensitive data with tokenized values.
* Detokenization Policy: Apply a corresponding detokenization policy in the API gateway to convert tokenized values back to their original values when required by other APIs.
This method does not require recoding the API implementations and ensures that sensitive data is protected while still being accessible in its original form when necessary.
References
* MuleSoft Documentation on Tokenization Policies
* API Gateway Security Best Practices

NEW QUESTION # 66
An API implementation is being developed to expose data from a production database via HTTP requests.
The API implementation executes a database SELECT statement that is dynamically created based upon data received from each incoming HTTP request. The developers are planning to use various types of testing to make sure the Mule application works as expected, can handle specific workloads, and behaves correctly from an API consumer perspective. What type of testing would typically mock the results from each SELECT statement rather than actually execute it in the production database?

A. Integration testing
B. Performance testing
C. Functional testing (black box)
D. Unit testing (white box)

Answer: D

Explanation:
In Unit testing instead of using actual backends, stubs are used for the backend services. This ensures that developers are not blocked and have no dependency on other systems.
In Unit testing instead of using actual backends, stubs are used for the backend services. This ensures that developers are not blocked and have no dependency on other systems.
Below are the typical characteristics of unit testing.
-- Unit tests do not require deployment into any special environment, such as a staging environment
-- Unit tests san be run from within an embedded Mule runtime
-- Unit tests can/should be implemented using MUnit
-- For read-only interactions to any dependencies (such as other APIs): allowed to invoke production endpoints
-- For write interactions: developers must implement mocks using MUnit
-- Require knowledge of the implementation details of the API implementation under test

NEW QUESTION # 67
......

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