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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 |
| Passing Score: | 70% |
| Available Languages: | English |
| Related Certifications: | Salesforce Certified MuleSoft Platform Architect |
| Exam Format: | Scenario-based, Multiple-choice |
| Real Exam Qty: | 60 |
| Exam Price: | USD 400 |
| 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 |
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NEW QUESTION # 131
Which component of Anypoint platform belongs to the platform control plane?
Answer: B
NEW QUESTION # 132
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?
Answer: C
Explanation:
A). Implement HTTP caching policy for all GET endpoints for the master lookup API and implement locking to synchronize access to object store Comprehensive Detailed Step by Step Explanation To resolve the performance issue observed during the performance testing of the Master lookup API, the best approach involves caching and synchronization:
* HTTP Caching Policy:
* Purpose: Reduces the load on the database by caching the responses for GET requests. Once a response is cached, subsequent requests for the same resource can be served from the cache instead of querying the database.
* Implementation: Apply the HTTP caching policy to all GET endpoints of the Master lookup API.
This policy ensures that the frequently accessed master lookup data is stored in the cache and served quickly.
* Benefits: This significantly reduces the number of database queries, thus lowering the response time and improving performance.
* Object Store Locking:
* Purpose: Ensures data consistency and prevents race conditions when multiple workers attempt to access or update the cache concurrently.
* Implementation: Use a locking mechanism to synchronize access to the object store. This can be achieved by using MuleSoft's Object Store Connector with lock/unlock operations.
* Benefits: Prevents multiple database queries for the same key and ensures that only one worker updates the cache at a time, thus avoiding redundant operations and maintaining data integrity.
By implementing these two strategies, the response time of the Master lookup API will be significantly improved, and the performance issue will be resolved.
References
* MuleSoft HTTP Caching Policy
* MuleSoft Object Store Connector
NEW QUESTION # 133
Refer to the exhibit.
A Mule application is deployed to a multi-node Mule runtime cluster. The Mule application uses the competing consumer pattern among its cluster replicas to receive JMS messages from a JMS queue. To process each received JMS message, the following steps are performed in a flow:
Step l: The JMS Correlation ID header is read from the received JMS message.
Step 2: The Mule application invokes an idempotent SOAP webservice over HTTPS, passing the JMS Correlation ID as one parameter in the SOAP request.
Step 3: The response from the SOAP webservice also returns the same JMS Correlation ID.
Step 4: The JMS Correlation ID received from the SOAP webservice is validated to be identical to the JMS Correlation ID received in Step 1.
Step 5: The Mule application creates a response JMS message, setting the JMS Correlation ID message header to the validated JMS Correlation ID and publishes that message to a response JMS queue.
Where should the Mule application store the JMS Correlation ID values received in Step 1 and Step 3 so that the validation in Step 4 can be performed, while also making the overall Mule application highly available, fault-tolerant, performant, and maintainable?
Answer: C
Explanation:
* If we store Correlation id value in step 1 as Mule event variables/attributes, the values will be cleared after server restart and we want system to be fault tolerant.
* The Correlation ID value in Step 1 should be stored in a persistent object store.
* We don't need to store Correlation ID value in Step 3 to persistent object store. We can store it but as we also need to make application performant. We can avoid this step of accessing persistent object store.
* Accessing persistent object stores slow down the performance as persistent object stores are by default stored in shared file systems.
* As the SOAP service is idempotent in nature. In case of any failures , using this Correlation ID saved in first step we can make call to SOAP service and validate the Correlation ID.
Top of Form
Additional Information:
* Competing Consumers are multiple consumers that are all created to receive messages from a single Point- to-Point Channel. When the channel delivers a message, any of the consumers could potentially receive it.
The messaging system's implementation determines which consumer actually receives the message, but in effect the consumers compete with each other to be the receiver. Once a consumer receives a message, it can delegate to the rest of its application to help process the message.
* In case you are unaware about term idempotent re is more info:
Idempotent operations means their result will always same no matter how many times these operations are invoked.
Bottom of Form
NEW QUESTION # 134
A company is planning to migrate its deployment environment from on-premises cluster to a Runtime Fabric (RTF) cluster. It also has a requirement to enable Mule applications deployed to a Mule runtime instance to store and share data across application replicas and restarts.
How can these requirements be met?
Answer: A
Explanation:
When migrating from an on-premises cluster to a Runtime Fabric (RTF) cluster, and needing to enable Mule applications to store and share data across application replicas and restarts, the use of Anypoint Object Store V2 is the most suitable option. Here's why and how to implement it:
* Understanding Object Store V2:
* Object Store V2 is designed to store and retrieve key-value pairs in a scalable and highly available manner. It is particularly useful for sharing state and data between different instances of applications running on RTF.
* Setting Up Anypoint Object Store V2:
* First, ensure that your MuleSoft Anypoint Platform account has access to Object Store V2.
* Configure your Mule application to use Object Store V2 by defining an object store in your Mule configuration file. This can be done using the objectstore element in your Mule flow.
* Configuration Steps:
* Add the Object Store connector to your Mule project.
* Define the object store configuration in your Mule flow as follows:
xml
<objectstore:config name="ObjectStoreV2" doc:name="ObjectStoreV2"/>
* Use the object store in your flows to store and retrieve data:
xml
<objectstore:store config-ref="ObjectStoreV2" key="#[key]" value="#[value]" /> <objectstore:retrieve config- ref="ObjectStoreV2" key="#[key]" target="variableName"/>
* Deploying on RTF:
* Deploy your Mule application to the RTF cluster. The RTF will handle scaling and ensure that the Object Store V2 is available to all instances of your application.
* Benefits:
* Object Store V2 ensures data is shared and persisted across different application replicas and restarts, which meets the requirement of storing and sharing data across application replicas in the RTF cluster.
MuleSoft Documentation on Object Store V2
MuleSoft Documentation on Runtime Fabric
NEW QUESTION # 135
A stock broking company makes use of CloudHub VPC to deploy Mule applications. Mule application needs to connect to a database application in the customers on-premises corporate data center and also to a Kafka cluster running in AWS VPC.
How is access enabled for the API to connect to the database application and Kafka cluster securely?
Answer: A
Explanation:
* Requirement Analysis: The Mule application needs secure access to both an on-premises database and a Kafka cluster in AWS VPC.
* Solution: Setting up Anypoint VPN for the on-premises corporate data center and VPC peering with AWS VPC ensures secure and seamless connectivity.
* Implementation Steps:
* Anypoint VPN Setup:
* In the Anypoint Platform, navigate to the VPN configuration.
* Create a new VPN connection between the CloudHub VPC and the on-premises corporate data center.
* Configure the necessary VPN parameters such as IP address, shared secret, and routing information.
* Establish the VPN tunnel and verify connectivity.
* VPC Peering Setup:
* In the AWS Management Console, navigate to the VPC dashboard.
* Create a VPC peering connection between the AWS VPC (where Kafka is hosted) and the CloudHub VPC.
* Configure the necessary route tables to allow traffic between the peered VPCs.
* Verify the peering connection and ensure that the routing is correctly set up to allow communication between the Mule application and the Kafka cluster.
* Testing: Conduct thorough testing to ensure the Mule application can securely connect to both the on-premises database and the Kafka cluster in AWS.
* Advantages:
* Security: Ensures secure communication channels between CloudHub VPC, on-premises data center, and AWS VPC.
* Reliability: Provides a robust and reliable network setup for accessing critical infrastructure components.
References
* MuleSoft Documentation on Anypoint VPN
* AWS Documentation on VPC Peering
NEW QUESTION # 136
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