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[General] MuleSoft-Integration-Architect-I Official Cert Guide | MuleSoft-Integration-Arch

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【General】 MuleSoft-Integration-Architect-I Official Cert Guide | MuleSoft-Integration-Arch

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Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q40-Q45):NEW QUESTION # 40
An organization has implemented a continuous integration (CI) lifecycle that promotes Mule applications through code, build, and test stages. To standardize the organization's CI journey, a new dependency control approach is being designed to store artifacts that include information such as dependencies, versioning, and build promotions.
To implement these process improvements, the organization will now require developers to maintain all dependencies related to Mule application code in a shared location.
What is the most idiomatic (used for its intended purpose) type of system the organization should use in a shared location to standardize all dependencies related to Mule application code?
  • A. The Anypoint Object Store service at cloudhub.io
  • B. API Community Manager
  • C. A MuleSoft-managed repository at repository.mulesoft.org
  • D. A binary artifact repository
Answer: B

NEW QUESTION # 41
A leading bank implementing new mule API.
The purpose of API to fetch the customer account balances from the backend application and display them on the online platform the online banking platform. The online banking platform will send an array of accounts to Mule API get the account balances.
As a part of the processing the Mule API needs to insert the data into the database for auditing purposes and this process should not have any performance related implications on the account balance retrieval flow How should this requirement be implemented to achieve better throughput?
  • A. Implement a for each scope to fetch the data from the back-end application and to insert records into the Audit database
  • B. Implement the Async scope fetch the data from the backend application and to insert records in the Audit database
  • C. Implement a try-catch scope to fetch the data from the back-end application and use the Async scope to insert records into the Audit database
  • D. Implement parallel for each scope to fetch the data from the backend application and use Async scope to insert the records into the Audit database
Answer: C
Explanation:
* 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

NEW QUESTION # 42
A mule application is required to periodically process large data set from a back-end database to Salesforce CRM using batch job scope configured properly process the higher rate of records.
The application is deployed to two cloudhub workers with no persistence queues enabled.
What is the consequence if the worker crashes during records processing?
  • A. Remaining records will be left and processed
  • B. Remaining records will be processed by a new replacement worker
  • C. Remaining records be processed by second worker
  • D. All the records will be processed from scratch by the second worker leading to duplicate processing
Answer: A

NEW QUESTION # 43
Refer to the exhibit.

A Mule application is being designed to be deployed to several CIoudHub workers. The Mule application's integration logic is to replicate changed Accounts from Satesforce to a backend system every 5 minutes.
A watermark will be used to only retrieve those Satesforce Accounts that have been modified since the last time the integration logic ran.
What is the most appropriate way to implement persistence for the watermark in order to support the required data replication integration logic?

  • A. Persistent Cache Scope
  • B. Persistent Object Store
  • C. Persistent VM Queue
  • D. Persistent Anypoint MQ Queue
Answer: B
Explanation:
* An object store is a facility for storing objects in or across Mule applications. Mule uses object stores to persist data for eventual retrieval.
* Mule provides two types of object stores:
1) In-memory store - stores objects in local Mule runtime memory. Objects are lost on shutdown of the Mule runtime.
2) Persistent store - Mule persists data when an object store is explicitly configured to be persistent.
In a standalone Mule runtime, Mule creates a default persistent store in the file system. If you do not specify an object store, the default persistent object store is used.
MuleSoft Reference: https://docs.mulesoft.com/mule-runtime/3.9/mule-object-stores

NEW QUESTION # 44
What metrics about API invocations are available for visualization in custom charts using Anypoint Analytics?
  • A. Request size, number of requests, JDBC Select operation result set size
  • B. Request size, request HTTP verbs, response time
  • C. Request size, number of requests, JDBC Select operation response time
  • D. Request size, number of requests, response size, response time
Answer: D
Explanation:
Correct answer is Request size, number of requests, response size, response time Analytics API Analytics can provide insight into how your APIs are being used and how they are performing. From API Manager, you can access the Analytics dashboard, create a custom dashboard, create and manage charts, and create reports. From API Manager, you can get following types of analytics: - API viewing analytics - API events analytics - Charted metrics in API Manager It can be accessed using: http://anypoint.mulesoft.com/analytics API Analytics provides a summary in chart form of requests, top apps, and latency for a particular duration.
The custom dashboard in Anypoint Analytics contains a set of charts for a single API or for all APIs Each chart displays various API characteristics
- Requests size: Line chart representing size of requests in KBs
- Requests : Line chart representing number of requests over a period
- Response size : Line chart representing size of response in KBs
- Response time ine chart representing response time in ms
* To check this, You can go to API Manager > Analytics > Custom Dashboard > Edit Dashboard > Create Chart > Metric

Reference:
Additional Information:
The default dashboard contains a set of charts
- Requests by date: Line chart representing number of requests
- Requests by location: Map chart showing the number of requests for each country of origin
- Requests by application: Bar chart showing the number of requests from each of the top five registered applications
- Requests by platform: Ring chart showing the number of requests broken down by platform

NEW QUESTION # 45
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