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| Certification Vendor: | Salesforce / MuleSoft |
|---|---|
| Exam Name: | Salesforce Certified MuleSoft Integration Architect I |
| Exam Number: | MuleSoft-Integration-Architect-I |
| Exam Duration: | 120 minutes |
| Exam Format: | Scenario-based, Multiple-choice |
| Related Certifications: | Salesforce Certified MuleSoft Platform Architect |
| Exam Price: | USD 400 |
| Passing Score: | 70% |
| Available Languages: | English |
| Real Exam Qty: | 60 |
| Sample Questions: | Salesforce MuleSoft-Integration-Architect-I Sample Questions |
| Exam Way: | Proctored online or at a testing center |
| Pre Condition: | Salesforce Certified MuleSoft Developer (recommended but not required) |
| Official Syllabus URL: | https://trailhead.salesforce.com/credentials/mulesoftintegrationarchitecti |
>> MuleSoft-Integration-Architect-I Antworten <<
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96. Frage
An organization uses Mule runtimes which are managed by Anypoint Platform - Private Cloud Edition. What MuleSoft component is responsible for feeding analytics data to non-MuleSoft analytics platforms?
Antwort: A
Begründung:
Correct answer is Anypoint Runtime Manager
MuleSoft Anypoint Runtime Manager (ARM) provides connectivity to Mule Runtime engines deployed across your organization to provide centralized management, monitoring and analytics reporting. However, most enterprise customers find it necessary for these on-premises runtimes to integrate with their existing non MuleSoft analytics / monitoring systems such as Splunk and ELK to support a single pane of glass view across the infrastructure.
* You can configure the Runtime Manager agent to export data to external analytics tools.
Using either the Runtime Manager cloud console or Anypoint Platform Private Cloud Edition, you can:
--> Send Mule event notifications, including flow executions and exceptions, to Splunk or ELK.
--> Send API Analytics to Splunk or ELK. Sending data to third-party tools is not supported for applications deployed on CloudHub.
You can use the CloudHub custom log appender to integrate with your logging system. Reference: https://docs.mulesoft.com/runtime-manager/ https://docs.mulesoft.com/release-notes/runtime-manager-agent/runtime-manager-agent-release-notes
Additional Info:
It can be achieved in 3 steps:
1) register an agent to a runtime manager,
2) configure a gateway to enable API analytics to be sent to non MuleSoft analytics platform (Splunk for ex.) - as highlighted in the following diagram and
3) setup dashboards.
97. Frage
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?
Antwort: D
Begründung:
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.
MuleSoft Catalyst Knowledge Hub
98. Frage
A Kubernetes controller automatically adds another pod replica to the resource pool in response to increased application load.
Which scalability option is the controller implementing?
Antwort: D
Begründung:
The Kubernetes controller is implementing horizontal scalability by adding another pod replica in response to increased application load. Horizontal scaling involves adding more instances of a service or application to handle the increased load, as opposed to vertical scaling, which would involve adding more resources (CPU, RAM) to a single instance. Horizontal scaling is a key feature of cloud-native applications and is supported by Kubernetes to ensure high availability and performance.
References:
* Kubernetes Horizontal Pod Autoscaling
* Understanding Horizontal vs. Vertical Scaling
99. Frage
An organization is evaluating using the CloudHub shared Load Balancer (SLB) vs creating a CloudHub dedicated load balancer (DLB). They are evaluating how this choice affects the various types of certificates used by CloudHub deployed Mule applications, including MuleSoft-provided, customer-provided, or Mule application-provided certificates. What type of restrictions exist on the types of certificates for the service that can be exposed by the CloudHub Shared Load Balancer (SLB) to external web clients over the public internet?
Antwort: A
Begründung:
Correct answer is Only MuleSoft provided certificates can be used for server side certificate
* The CloudHub Shared Load Balancer terminates TLS connections and uses its own server-side certificate.
* You would need to use dedicated load balancer which can enable you to define SSL configurations to provide custom certificates and optionally enforce two-way SSL client authentication.
* To use a dedicated load balancer in your environment, you must first create an Anypoint VPC. Because you can associate multiple environments with the same Anypoint VPC, you can use the same dedicated load balancer for your different environments.
Additional Info on SLB Vs DLB:
100. Frage
A system API EmployeeSAPI is used to fetch employee's data from an underlying SQL database.
The architect must design a caching strategy to query the database only when there is an update to the employees stable or else return a cached response in order to minimize the number of redundant transactions being handled by the database.
What must the architect do to achieve the caching objective?
Antwort: C
Begründung:
To achieve efficient caching and reduce redundant database transactions, the following strategy can be implemented:
* On Table Row Listener: Implement an "On Table Row" trigger on the employees' table. This trigger will monitor changes (inserts, updates, deletes) in the employee records.
* Invalidate Cache: Upon detecting changes in the employees' table, the trigger will call a flow to invalidate the current cache.
* Object Store for Caching: Utilize MuleSoft's object store to cache the employee data. This store can hold the data for quick retrieval.
* Set Expiration Interval: Configure the expiration interval for the cached data to ensure it is cleared when necessary. For this scenario, since we are invalidating cache on actual data changes, setting the expiration interval to empty can be suitable.
* Return Cached Data: If there are no updates, the cached response is returned, reducing database load.
MuleSoft Documentation on Object Store
Caching Strategies
101. Frage
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