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NEW QUESTION # 103
As a part of project requirement, Java Invoke static connector in a mule 4 application needs to invoke a static method in a dependency jar file. What are two ways to add the dependency to be visible by the connectors class loader?
(Choose two answers)
- A. Configure the dependency as a shared library in the project POM
- B. Add the dependency jar file to the java classpath by setting the JVM parameters
- C. Use Maven command to include the dependency jar file when packaging the application
- D. In the Java Invoke static connector configuration, configure a path and name of the dependency jar file
- E. Update mule-artefact.json to export the Java package
Answer: A,B
NEW QUESTION # 104
What is required before an API implemented using the components of Anypoint Platform can be managed and governed (by applying API policies) on Anypoint Platform?
- A. The API implementation source code must be committed to a source control management system (such as GitHub)
- B. The API must be shared with the potential developers through an API portal so API consumers can interact with the API
- C. The API must be published to Anypoint Exchange and a corresponding API instance ID must be obtained from API Manager to be used in the API implementation
- D. A RAML definition of the API must be created in API designer so it can then be published to Anypoint Exchange
Answer: C
Explanation:
Context of the question is about managing and governing mule applications deployed on Anypoint platform.
Anypoint API Manager (API Manager) is a component of Anypoint Platform that enables you to manage, govern, and secure APIs. It leverages the runtime capabilities of API Gateway and Anypoint Service Mesh, both of which enforce policies, collect and track analytics data, manage proxies, provide encryption and authentication, and manage applications.
Mule Ref Doc : https://docs.mulesoft.com/api-manager/2.x/getting-started-proxy
NEW QUESTION # 105
An auto mobile company want to share inventory updates with dealers Dl and D2 asynchronously and concurrently via queues Q1 and Q2. Dealer Dl must consume the message from the queue Q1 and dealer D2 to must consume a message from the queue Q2.
Dealer D1 has implemented a retry mechanism to reprocess the transaction in case of any errors while processing the inventers updates. Dealer D2 has not implemented any retry mechanism.
How should the dealers acknowledge the message to avoid message loss and minimize impact on the current implementation?
- A. Dealer D1 must use auto acknowledgement and dealer D2 can use manual acknowledgement and acknowledge the message after successful processing
- B. Dealer D1 can use auto acknowledgement and dealer D2 can use IMMEDIATE acknowledgement and acknowledge the message of successful processing
- C. Dealer D1 can use AUTO acknowledgement and dealer D2 must use manual acknowledgement and acknowledge the message after successful processing
- D. Dealer D1 and dealer D2 must use AUTO acknowledgement and acknowledge the message after successful processing
Answer: C
Explanation:
* Dealer D1 - AUTO Acknowledgment:
* Dealer D1, which has a retry mechanism, can use AUTO acknowledgment. This means that the message is acknowledged automatically once received. The retry mechanism will handle any processing errors and reprocess the message if needed.
* Dealer D2 - Manual Acknowledgment:
* Dealer D2, which does not have a retry mechanism, must use manual acknowledgment. This approach allows D2 to acknowledge the message only after it has been successfully processed, ensuring no message is lost due to processing errors.
* Ensuring Message Delivery:
* Using manual acknowledgment for Dealer D2 ensures that the message is not lost and can be reprocessed if an error occurs during processing, which is crucial since it lacks a retry mechanism.
References:
* MuleSoft Documentation on JMS Acknowledgment
* Best practices for Reliable Messaging
NEW QUESTION # 106
As part of a growth strategy, a supplier signs a trading agreement with a large customer. The customer sends purchase orders to the supplier according to the ANSI X12 EDI standard, and the supplier creates the orders in its ERP system using the information in the EDI document.
The agreement also requires that the supplier provide a new RESTful API to process request from the customer for current product inventory level from the supplier' s ERP system.
Which two fundamental integration use cases does the supplier need to deliver to provide an end-to-end solution for this business scenario? (Choose two.)
- A. Synchronized data transfer
- B. Sharing data with external partners
- C. User interface integration
- D. Data mashups
- E. Streaming data ingestion
Answer: A,B
Explanation:
In this business scenario, the supplier needs to deliver two fundamental integration use cases to provide an end-to-end solution:
A: Synchronized data transfer: This involves ensuring that the customer's purchase orders (sent using ANSI X12 EDI standard) are accurately and timely transferred and reflected in the supplier's ERP system. This synchronization ensures data consistency between the EDI transactions and the ERP system.
B: Sharing data with external partners: This involves providing the customer with a RESTful API to access current product inventory levels from the supplier's ERP system. Sharing data through a RESTful API allows the customer to retrieve up-to-date inventory information as needed.
References:
* EDI Integration with APIs
* Integrating with External Partners Using APIs
NEW QUESTION # 107
A mule application uses an HTTP request operation to involve an external API.
The external API follows the HTTP specification for proper status code usage.
What is possible cause when a 3xx status code is returned to the HTTP Request operation from the external API?
- A. The request was not accepted by the external API
- B. The request was Redirected to a different URL by the external API
- C. The request was NOT RECEIVED by the external API
- D. The request was ACCEPTED by the external API
Answer: B
Explanation:
3xx HTTP status codes indicate a redirection that the user agent (a web browser or a crawler) needs to take further action when trying to access a particular resource.
NEW QUESTION # 108
An organization is building out a test suite for their application using MUnit.
The Integration Architect has recommended using Test Recorder in Anypoint Studio to record the processing flows and then configure unit tests based on the captured events.
What Is a core consideration that must be kept In mind while using Test Recorder?
- A. The Recorder supports mocking a message before or inside a Foreach processor
- B. Mocking values resulting from parallel processes are possible and will not affect theexecution of the processors that follow in the test
- C. The Recorder supports loops where the structure of the data being tested changes inside the Iteration
- D. Tests for flows cannot be created if Mule errors are raised Inside the flows, even if the errors are handled by On-Error Continue error handlers
Answer: B
NEW QUESTION # 109
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?
- A. Database polling stops All HTTP requests continue to be accepted
- B. Database polling stops All HTTP requests are rejected
- C. Database polling continues All HTTP requests continue to be accepted, but requests to the failed node Incur increased latency
- D. Database polling continues Only HTTP requests sent to the remaining node continue to be accepted
Answer: D
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 # 110
What is a defining characteristic of an integration-Platform-as-a-Service (iPaaS)?
- A. A Cloud-based
- B. On-premises
- C. Code-first
- D. No-code
Answer: A
Explanation:
A defining characteristic of an Integration-Platform-as-a-Service (iPaaS) is that it is cloud-based. iPaaS provides a cloud-based platform to enable integration of applications and data across various environments.
This approach leverages the scalability, flexibility, and accessibility of the cloud to facilitate seamless integrations, reduce on-premises infrastructure requirements, and improve the speed of deployment and maintenance of integration solutions.
References:
* What is iPaaS?
* Benefits of iPaaS
NEW QUESTION # 111
What API policy would LEAST likely be applied to a Process API?
- A. JSON threat protection
- B. Rate limiting
- C. Custom circuit breaker
- D. Client ID enforcement
Answer: A
Explanation:
Key to this question lies in the fact that Process API are not meant to be accessed directly by clients. Lets analyze options one by one. Client ID enforcement : This is applied at process API level generally to ensure that identity of API clients is always known and available for API-based analytics Rate Limiting : This policy is applied on Process Level API to secure API's against degradation of service that can happen in case load received is more than it can handle Custom circuit breaker : This is also quite useful feature on process level API's as it saves the API client the wasted time and effort of invoking a failing API. JSON threat protection :
This policy is not required at Process API and rather implemented as Experience API's. This policy is used to safeguard application from malicious attacks by injecting malicious code in JSON object. As ideally Process API's are never called from external world , this policy is never used on Process API's Hence correct answer is JSON threat protection MuleSoft Documentation Reference : https://docs.mulesoft.com/api-manager/2.x
/policy-mule3-json-threat
NEW QUESTION # 112
An organization is using Mulesoft cloudhub and develops API's in the latest version. As a part of requirements for one of the API's, third party API needs to be called. The security team has made it clear that calling any external API needs to have include listing As an integration architect please suggest the best way to accomplish the design plan to support these requirements?
- A. Implement the Any point filter processor to implement the include list IP
- B. Implement includelist IP on the cloudhub VPC firewall to allow the traffic
- C. Implement a proxy for the third party API and enforce the IPinclude list policy and call this proxy from the flow of the API
- D. Implement the validation of includelisted IP operation
Answer: C
Explanation:
* Requirement Analysis: The security team requires any external API call to be restricted by an IP include list. This ensures that only specified IP addresses can access the third-party API.
* Design Plan: To fulfill this requirement, implementing a proxy for the third-party API is the best approach. This proxy can enforce the IP include list policy.
* Implementation Steps:
* Create a Proxy API: Set up a new API proxy in Anypoint Platform to act as an intermediary for the third-party API.
* Configure IP Include List Policy: Within the Anypoint API Manager, apply the IP whitelist policy to the proxy API. This policy will ensure that only requests from specified IP addresses are allowed to reach the third-party API.
* Modify Main API Flow: Update the flow of your main API to call the newly created proxy API instead of directly calling the third-party API.
* Testing: Conduct thorough testing to ensure that the proxy API correctly forwards requests to the third-party API only if the requests originate from IPs in the include list.
* Advantages:
* Security: This method ensures that only approved IPs can access the third-party API, adhering to the security team's requirements.
* Manageability: Centralizes the IP restriction management within the API Manager, simplifying maintenance and updates.
References
* MuleSoft Documentation on API Proxies
* MuleSoft Documentation on IP Whitelist Policy
NEW QUESTION # 113
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?
- A. Including logic within the API implementation that bypasses in locations of the back-end system in the staging environment and invoke a Mocking service that replicates typical back-end system responses Then conduct performance test using this API implementation
- B. Use MUnit to simulate standard responses from the back-end system.
Then conduct performance test to identify other bottlenecks in the system - C. Conduct scaled-down performance tests in the staging environment against rate-limiting back-end system. Then upscale performance results to full production scale
- D. 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
Answer: D
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 # 114
What requires configuration of both a key store and a trust store for an HTTP Listener?
- A. Support for TLS mutual (two-way) authentication with HTTP clients
- B. Encryption of both HTTP request and HTTP response bodies for all HTTP clients
- C. Encryption of both HTTP request header and HTTP request body for all HTTP clients
- D. Encryption of requests to both subdomains and API resource endpoints fhttPs://aDi.customer.com/ and https://customer.com/api)
Answer: A
Explanation:
1 way SSL : The server presents its certificate to the client and the client adds it to its list of trusted certificate. And so, the client can talk to the server.
2-way SSL: The same principle but both ways. i.e. both the client and the server has to establish trust between themselves using a trusted certificate. In this way of a digital handshake, the server needs to present a certificate to authenticate itself to client and client has to present its certificate to server.
* TLS is a cryptographic protocol that provides communications security for your Mule app.
* TLS offers many different ways of exchanging keys for authentication, encrypting data, and guaranteeing message integrity Keystores and Truststores Truststore and keystore contents differ depending on whether they are used for clients or servers:
For servers: the truststore contains certificates of the trusted clients, the keystore contains the private and public key of the server. For clients: the truststore contains certificates of the trusted servers, the keystore contains the private and public key of the client.
Adding both a keystore and a truststore to the configuration implements two-way TLS authentication also known as mutual authentication.
* in this case, correct answer is Support for TLS mutual (two-way) authentication with HTTP clients.
NEW QUESTION # 115
An integration Mule application is deployed to a customer-hosted multi-node Mule 4 runtime duster. The Mule application uses a Listener operation of a JMS connector to receive incoming messages from a JMS queue.
How are the messages consumed by the Mule application?
- A. Depending on the JMS provider's configuration, either all messages are consumed by ONLY the primary cluster node or else ALL messages are consumed by ALL cluster nodes
- B. Depending on the Listener operation configuration, either all messages are consumed by ONLY the primary cluster node or else EACH message is consumed by ANY ONE cluster node
- C. Regardless of the Listener operation configuration, all messages are consumed by ALL cluster nodes
- D. Regardless of the Listener operation configuration, all messages are consumed by ONLY the primary cluster node
Answer: B
Explanation:
Correct answer is Depending on the Listener operation configuration, either all messages are consumed by ONLY the primary cluster node or else EACH message is consumed by ANY ONE cluster node For applications running in clusters, you have to keep in mind the concept of primary node and how the connector will behave. When running in a cluster, the JMS listener default behavior will be to receive messages only in the primary node, no matter what kind of destination you are consuming from. In case of consuming messages from a Queue, you'll want to change this configuration to receive messages in all the nodes of the cluster, not just the primary.
This can be done with the primaryNodeOnly parameter:
<jms:listener config-ref="config" destination="${inputQueue}" primaryNodeOnly="false"/>
NEW QUESTION # 116
An organization plans to migrate its deployment environment from an onpremises cluster to a Runtime Fabric (RTF) cluster. The on-premises Mule applications are currently configured with persistent object stores.
There is a requirement to enable Mule applications deployed to the RTF cluster to store and share data across application replicas and through restarts of the entire RTF cluster, How can these reliability requirements be met?
- A. Install the Object Store pod on one of the cluster nodes
- B. Replace persistent object stores with persistent VM queues in each Mule application deployment
- C. Configure the Persistence Gateway in the RTF installation
- D. Configure Anypoint Object Store v2 to share data between replicas in the RTF cluster
Answer: B
NEW QUESTION # 117
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 401 unauthorized for policy violation
- B. HTTP status 429 as defined in the HTTP:RETRY EXHAUSTED error handler in the API
- C. HTTP status 500 as defined in the ANY error handler in the API since an API:RETRY_EXHAUSTED will be generated
- D. HTTP status 400 from the rate-limiting policy violation since the call does not reach the back-end
Answer: B
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
NEW QUESTION # 118
What is a defining characteristic of an integration-Platform-as-a-Service (iPaaS)?
- A. A Cloud-based
- B. On-premises
- C. Code-first
- D. No-code
Answer: A
NEW QUESTION # 119
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