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MuleSoft-Integration-Architect-I Practice Questions

Question # 1
According to the National Institute of Standards and Technology (NIST), which cloud computing deployment model describes a composition of two or more distinct clouds that support data and application portability?
A. Private cloud
B. Hybrid cloud 4
C. Public cloud
D. Community cloud


B. Hybrid cloud 4

Explanation:

According to the National Institute of Standards and Technology (NIST), a hybrid cloud is a cloud computing deployment model that describes a composition of two or more distinct cloud infrastructures (private, community, or public) that remain unique entities but are bound together by standardized or proprietary technology that enables data and application portability. Hybrid clouds allow organizations to leverage the advantages of multiple cloud environments, such as combining the scalability and cost-efficiency of public clouds with the security and control of private clouds. This model facilitates flexibility and dynamic scalability, supporting diverse workloads and business needs while ensuring that sensitive data and applications can remain in a controlled private environment.

References

NIST Definition of Cloud Computing

Hybrid Cloud Overview and Benefits


Question # 2
A rale limiting policy has been applied to a soap VI.2 API published in Clondhub. The API implementation catches errors in a global error handler on error propagate in the main flow for HTTP: RETRY_EXHAUSTED with HTTP status set to 429 and any with the HTTP status set to 500. What is the expected H1TP status when the client exceeds the quota of the API calls?
A. HTTP status 429 as defined in the HTTP:RETRY EXHAUSTED error handler in the API B. HTTP status 500 as defined in the ANY error handler in the API since an API:RETRY_EXHAUSTED will be generated
B. HTTP status 401 unauthorized for policy violation
C. HTTP status 400 from the rate-limiting policy violation since the call does not reach the back-end


A. HTTP status 429 as defined in the HTTP:RETRY EXHAUSTED error handler in the API B. HTTP status 500 as defined in the ANY error handler in the API since an API:RETRY_EXHAUSTED will be generated

Explanation:

In the given scenario, a rate limiting policy has been applied to the SOAP API and a global error handler is configured to handle HTTP:RETRY_EXHAUSTED errors with a 429 status code. The rate limiting policy will trigger when the client exceeds the allowed quota of API calls. Since the HTTP:RETRY_EXHAUSTED error specifically catches quota exhaustion errors and the error handler is configured to return a 429 status code, the expected HTTP status returned to the client when the quota is exceeded will be 429. This error code indicates that the user has sent too many requests in a given amount of time ("rate limiting").

References:

MuleSoft Documentation on Error Handling

HTTP Status Codes


Question # 3
An organization has chosen Mulesoft for their integration and API platform. According to the Mulesoft catalyst framework, what would an integration architect do to create achievement goals as part of their business outcomes?
A. Measure the impact of the centre for enablement
B. build and publish foundational assets
C. agree upon KPI's and help develop and overall success plan
D. evangelize API's


C. agree upon KPI's and help develop and overall success plan

Explanation:

According to the MuleSoft Catalyst framework, an Integration Architect plays a crucial role in defining and achieving business outcomes. One of their key responsibilities is to agree upon Key Performance Indicators (KPIs) and help develop an overall success plan. This involves working with stakeholders to identify measurable goals and ensure that the integration initiatives align with the organization’s strategic objectives.

KPIs are critical for tracking progress, measuring success, and making data-driven decisions. By agreeing on KPIs and developing a success plan, the Integration Architect ensures that the organization can objectively measure the impact of its integration efforts and adjust strategies as needed to achieve desired business outcomes.

References:

MuleSoft Catalyst Knowledge Hub


Question # 4
A Mule application is built to support a local transaction for a series of operations on a single database. The mule application has a Scatter-Gather scope that participates in the local transaction. What is the behavior of the Scatter-Gather when running within this local transaction?
A. Execution of all routes within Scatter-Gather occurs in parallel Any error that occurs inside Scatter-Gather will result in a roll back of all the database operations
B. Execution of all routes within Scatter-Gather occurs sequentially Any error that occurs inside Scatter-Gather will be handled by error handler and will not result in roll back
C. Execution of all routes within Scatter-Gather occurs sequentially Any error that occurs inside Scatter-Gather will result in a roll back of all the database operations
D. Execution of all routes within Scatter-Gather occurs in parallel Any error that occurs inside Scatter-Gather will be handled by error handler and will not result in roll back


A. Execution of all routes within Scatter-Gather occurs in parallel Any error that occurs inside Scatter-Gather will result in a roll back of all the database operations

Explanation:

Parallel Execution:

Transaction Management:

Error Handling and Rollback:

References:

MuleSoft Documentation on Scatter-Gather

Transaction management in MuleSoft

=========================


Question # 5


What is the type data format shown in the exhibit?
A. JSON
B. XML
C. YAML
D. CSV


C. YAML

Explanation: The data format shown in the exhibit is YAML (YAML Ain't Markup Language). YAML is a human-readable data serialization standard that is commonly used for configuration files and data exchange between languages with different data structures. In the exhibit, the indentation and the use of colons to define key-value pairs are characteristic of YAML. JSON (JavaScript Object Notation) and XML (eXtensible Markup Language) have different syntax structures, and CSV (Comma-Separated Values) is a flat file format that uses commas to separate values. The format shown in the exhibit fits the structure and style of YAML.

Question # 6
An integration Mute application consumes and processes a list of rows from a CSV file. Each row must be read from the CSV file, validated, and the row data sent to a JMS queue, in the exact order as in the CSV file.
If any processing step for a row falls, then a log entry must be written for that row, but processing of other rows must not be affected.
What combination of Mute components is most idiomatic (used according to their intended purpose) when Implementing the above requirements?
A. Scatter-Gather component On Error Continue scope
B. VM connector first Successful scope On Error Propagate scope
C. For Each scope On Error Continue scope
D. Async scope On Error Propagate scope


C. For Each scope On Error Continue scope


Question # 7
A large life sciences customer plans to use the Mule Tracing module with the Mapped Diagnostic Context (MDC) logging operations to enrich logging in its Mule application and to improve tracking by providing more context in the Mule application logs. The customer also wants to improve throughput and lower the message processing latency in its Mule application flows.

After installing the Mule Tracing module in the Mule application, how should logging be performed in flows in Mule applications, and what should be changed In the log4j2.xml files?

A. In the flows, add Mule Tracing module Set logging variable operations before any Core Logger components. In log4j2.xml files, change the appender's pattern layout to use %MDC and then assign the appender to a Logger or Root element.
B. In the flows, add Mule Tracing module Set logging variable operations before any Core Logger components. In log4j2.xmI files, change the appender’s pattern layout to use the %MDC placeholder and then assign the appender to an AsyncLogger element.
C. In the flows, add Mule Tracing module Set logging variable operations before any Core Logger components. In log4j2.xmI files, change the appender’'s pattern layout to use %asyncLogger placeholder and then assign the appender to an AsyncLogger element.
D. In the flows, wrap Logger components in Async scopes. In log4j2.xmI files, change the appender's pattern layout to use the %asyncLogger placeholder and then assign the appender to a Logger or Root element.


A. In the flows, add Mule Tracing module Set logging variable operations before any Core Logger components. In log4j2.xml files, change the appender's pattern layout to use %MDC and then assign the appender to a Logger or Root element.

Explanation:

Mule Tracing Module and MDC:

Set Logging Variable Operations:

Configuring log4j2.xml:

Improving Throughput and Lowering Latency:

References:

MuleSoft Documentation on Mule Tracing: Mule Tracing Module

Log4j2 Documentation on MDC: Log4j2 MDC


Question # 8
An automation engineer needs to write scripts to automate the steps of the API lifecycle, including steps to create, publish, deploy and manage APIs and their implementations in Anypoint Platform. What Anypoint Platform feature can be used to automate the execution of all these actions in scripts in the easiest way without needing to directly invoke the Anypoint Platform REST APIs?
A. Automated Policies in API Manager
B. Runtime Manager agent
C. The Mule Maven Plugin
D. Anypoint CLI


D. Anypoint CLI

Explanation

Anypoint Platform provides a scripting and command-line tool for both Anypoint Platform and Anypoint Platform Private Cloud Edition (Anypoint Platform PCE). The command-line interface (CLI) supports both the interactive shell and standard CLI modes and works with: Anypoint Exchange Access management Anypoint Runtime Manager

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Exam Name: Salesforce Certified MuleSoft Integration Architect 1 (WI25)
Certification Name: Salesforce MuleSoft

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