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| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified MuleSoft Platform Integration Architect |
| Exam Number: | MuleSoft-Integration-Architect-I (also known as Mule-Arch-202) |
| Real Exam Qty: | 60–65 (including up to 5 unscored items) |
| Available Languages: | Japanese, English |
| Related Certifications: | Salesforce Certified MuleSoft Hyperautomation Developer Salesforce Certified MuleSoft Developer Salesforce Certified MuleSoft Catalyst Consultant Salesforce Certified Platform Integration Architect Salesforce Certified MuleSoft Platform Architect |
| Exam Price: | USD 400 + applicable taxes; JPY 60,000 |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 120 minutes |
| Exam Format: | Multiple choice, Multiple select, Scenario-based questions |
| Passing Score: | 70% |
| Recommended Training: | Anypoint Platform Architecture and Integration Design Salesforce Official Exam Guide |
| Exam Registration: | Salesforce Certification Registration |
| Sample Questions: | Salesforce MuleSoft-Integration-Architect-I Sample Questions |
| Exam Way: | Online proctored or onsite testing center; closed-book exam |
| Pre Condition: | No mandatory prerequisites; Salesforce Certified MuleSoft Developer or equivalent experience is highly recommended |
| Official Syllabus URL: | https://trailhead.salesforce.com/credentials/mulesoftintegrationarchitecti |
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NEW QUESTION # 261
One of the backend systems involved by the API implementation enforces rate limits on the number of request a particle client can make.
Both the back-end system and API implementation are deployed to several non-production environments including the staging environment and to a particular production environment. Rate limiting of the back-end system applies to all non-production environments.
The production environment however does not have any rate limiting.
What is the cost-effective approach to conduct performance test of the API implementation in the non- production staging environment?
Answer: B
Explanation:
To conduct performance testing in a non-production environment where rate limits are enforced, the most cost-effective approach is:
C). Create a Mocking service that replicates the back-end system's production performance characteristics.
Then configure the API implementation to use the mocking service and conduct the performance test.
* Mocking Service: Develop a mock service that emulates the performance characteristics of the production back-end system. This service should mimic the response times, data formats, and any relevant behavior of the actual back-end system without imposing rate limits.
* Configuration: Modify the API implementation to route requests to the mocking service instead of the actual back-end system. This ensures that the performance tests are not impacted by the rate limits imposed in the non-production environment.
* Performance Testing: Conduct the performance tests using the API implementation configured with the mocking service. This approach allows you to assess the performance under expected production load conditions without being constrained by non-production rate limits.
This method ensures that performance testing is accurate and reflective of the production environment without additional costs or constraints due to rate limiting in staging environments.
References:
MuleSoft Documentation: Mocking Services
MuleSoft Documentation: Performance Testing
NEW QUESTION # 262
What aspect of logging is only possible for Mule applications deployed to customer-hosted Mule runtimes, but NOT for Mule applications deployed to CloudHub?
Answer: B
Explanation:
* Correct answer is To directly reference one shared and customized log4j2.xml file from multiple Mule applications. Key word to note in the answer is directly.
* By default, CloudHub replaces a Mule application's log4j2.xml file with a CloudHub log4j2.xml file. This specifies the CloudHub appender to write logs to the CloudHub logging service.
* You cannot modify CloudHub log4j2.xml file to add any custom appender. But there is a process in order to achieve this. You need to raise a request on support portal to disable CloudHub provided Mule application log4j2 file.
* Once this is done , Mule application's log4j2.xml file is used which you can use to send/export application logs to other log4j2 appenders, such as a custom logging system MuleSoft does not own any responsibility for lost logging data due to misconfiguration of your own log4j appender if it happens by any chance.
* One more difference between customer-hosted Mule runtimes and CloudHub deployed mule instance is that
- CloudHub system log messages cannot be sent to external log management system without installing custom CH logging configuration through support
- where as Customer-hosted runtime can send system and application log to external log management system MuleSoft Reference:
https://docs.mulesoft.com/runtime-manager/viewing-log-data
https://docs.mulesoft.com/runtime-manager/custom-log-appender
NEW QUESTION # 263
An organization has an HTTPS-enabled Mule application named Orders API that receives requests from another Mule application named Process Orders.
The communication between these two Mule applications must be secured by TLS mutual authentication (two-way TLS).
At a minimum, what must be stored in each truststore and keystore of these two Mule applications to properly support two-way TLS between the two Mule applications while properly protecting each Mule application's keys?
Answer: C
NEW QUESTION # 264
Refer to the exhibit.
A Mule application is deployed to a cluster of two customer-hosted Mute runtimes. The Mute application has a flow that polls a database and another flow with an HTTP Listener.
HTTP clients send HTTP requests directly to individual cluster nodes.
What happens to database polling and HTTP request handling in the time after the primary (master) node of the cluster has railed, but before that node is restarted?
Answer: C
Explanation:
Correct answer is Database polling continues Only HTTP requests sent to the remaining node continue to be accepted. : Architecture descripted in the question could be described as follows.When node 1 is down , DB polling will still continue via node 2 . Also requests which are coming directly to node 2 will also be accepted and processed in BAU fashion. Only thing that wont work is when requests are sent to Node 1 HTTP connector. The flaw with this architecture is HTTP clients are sending HTTP requests directly to individual cluster nodes. By default, clustering Mule runtime engines ensures high system availability. If a Mule runtime engine node becomes unavailable due to failure or planned downtime, another node in the cluster can assume the workload and continue to process existing events and messages
NEW QUESTION # 265
An Organization has previously provisioned its own AWS VPC hosting various servers. The organization now needs to use Cloudhub to host a Mule application that will implement a REST API once deployed to Cloudhub, this Mule application must be able to communicate securely with the customer-provisioned AWS VPC resources within the same region, without being interceptable on the public internet.
What Anypoint Platform features should be used to meet these network communication requirements between Cloudhub and the existing customer-provisioned AWS VPC?
Answer: C
Explanation:
Correct answer is: Add a Mulesoft hosted Anypoint VPC configured and with VPC Peering to the AWS VPC * Connecting to your Anypoint VPC extends your corporate network and allows CloudHub workers to access resources behind your corporate firewall.
* You can connect on-premises data centers through a secured VPN tunnel, or a private AWS VPC through VPC peering, or by using AWS Direct Connect.
MuleSoft Doc Reference : https://docs.mulesoft.com/runtime-manager/virtual-private-cloud
NEW QUESTION # 266
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