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Viewing questions 11-20 out of questions

Questions # 11:

An insurance company is implementing a MuleSoft API to get inventory details from the two vendors. Due to network issues, the invocations to vendor applications are getting timed-out intermittently. But the transactions are successful upon reprocessing

What is the most performant way of implementing this requirement?

Options:

Implement a scatter-gather scope to invoke the two vendor

applications on two different route

Use the Until-Successful scope to implement the retry mechanism

for timeout errors on each route

Implement a Choice scope to invoke the two vendor applications on two different route

Use the try-catch scope to implement the retry mechanism for timeout errors on each route

Implement a For-Each scope to invoke the two vendor applications

Use until successful scope to implement the retry mechanism for the timeout errors

Implement Round-Robin scope to invoke the two vendor applications on two different routes

Use the Try-Catch scope to implement retry mechanism for timeout errors on each route

Questions # 12:

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?

Options:

Replace persistent object stores with persistent VM queues in each Mule application deployment

Install the Object Store pod on one of the cluster nodes

Configure Anypoint Object Store v2 to share data between replicas in the RTF cluster

Configure the Persistence Gateway in the RTF installation

Questions # 13:

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?

Options:

Dealer D1 must use auto acknowledgement and dealer D2 can use manual acknowledgement and acknowledge the message after successful processing

Dealer D1 can use auto acknowledgement and dealer D2 can use IMMEDIATE acknowledgement and acknowledge the message of successful processing

Dealer D1 and dealer D2 must use AUTO acknowledgement and acknowledge the message after successful processing

Dealer D1 can use AUTO acknowledgement and dealer D2 must use manual acknowledgement and acknowledge the message

after successful processing

Questions # 14:

A retailer is designing a data exchange interface to be used by its suppliers. The interface must support secure communication over the public internet. The interface must also work with a wide variety of programming languages and IT systems used by suppliers.

What are suitable interface technologies for this data exchange that are secure, cross-platform, and internet friendly, assuming that Anypoint Connectors exist for these interface technologies?

Options:

EDJFACT XML over SFTP JSON/REST over HTTPS

SOAP over HTTPS HOP over TLS gRPC over HTTPS

XML over ActiveMQ XML over SFTP XML/REST over HTTPS

CSV over FTP YAML over TLS JSON over HTTPS

Questions # 15:

To implement predictive maintenance on its machinery equipment, ACME Tractors has installed thousands of IoT sensors that will send data for each machinery asset as sequences of JMS messages, in near real-time, to a JMS queue named SENSOR_DATA on a JMS server. The Mule application contains a JMS Listener operation configured to receive incoming messages from the JMS servers SENSOR_DATA JMS queue. The Mule application persists each received JMS message, then sends a transformed version of the corresponding Mule event to the machinery equipment back-end systems.

The Mule application will be deployed to a multi-node, customer-hosted Mule runtime cluster. Under normal conditions, each JMS message should be processed exactly once.

How should the JMS Listener be configured to maximize performance and concurrent message processing of the JMS queue?

Options:

Set numberOfConsumers = 1

Set primaryNodeOnly = false

Set numberOfConsumers = 1

Set primaryNodeOnly = true

Set numberOfConsumers to a value greater than one

Set primaryNodeOnly = true

Set numberOfConsumers to a value greater than one

Set primaryNodeOnly = false

Questions # 16:

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?

Options:

Orders API truststore: The Orders API public key

Process Orders keystore: The Process Orders private key and public key

Orders API truststore: The Orders API private key and public key

Process Orders keystore: The Process Orders private key public key

Orders API truststore: The Process Orders public key

Orders API keystore: The Orders API private key and public key

Process Orders truststore: The Orders API public key

Process Orders keystore: The Process Orders private key and public key

Orders API truststore: The Process Orders public key

Orders API keystore: The Orders API private key

Process Orders truststore: The Orders API public key

Process Orders keystore: The Process Orders private key

Questions # 17:

A high-volume eCommerce retailer receives thousands of orders per hour and requires notification of its order management, warehouse, and billing system for subsequent processing within 15 minutes of order submission through its website.

Which integration technology, when used for its typical and intended purpose, meets the retailer’s requirements for this use case?

Options:

Managed File Transfer (MFT)

Publish/Subscriber Messaging Bus (Pub/Sub)

Enterprise Data Warehouse (EDW)

Extract Transform Load (ETL)

Questions # 18:

Refer to the exhibit.

Question # 18

An organization uses a 2-node Mute runtime cluster to host one stateless API implementation. The API is accessed over HTTPS through a load balancer that uses round-robin for load distribution.

Two additional nodes have been added to the cluster and the load balancer has been configured to recognize the new nodes with no other change to the load balancer.

What average performance change is guaranteed to happen, assuming all cluster nodes are fully operational?

Options:

50% reduction in the response time of the API

100% increase in the throughput of the API

50% reduction In the JVM heap memory consumed by each node

50% reduction In the number of requests being received by each node

Questions # 19:

Refer to the exhibit.

A Mule application has an HTTP Listener that accepts HTTP DELETE requests. This Mule application Is deployed to three CloudHub workers under the control of the CloudHub Shared Load Balancer.

A web client makes a sequence of requests to the Mule application's public URL.

How is this sequence of web client requests distributed among the HTTP Listeners running in the three CloudHub workers?

Options:

Each request is routed to the PRIMARY CloudHub worker in the PRIMARY Availability Zone (AZ)

Each request is routed to ONE ARBiTRARY CloudHub worker in the PRIMARY Availability Zone (AZ)

Each request Is routed to ONE ARBiTRARY CloudHub worker out of ALL three CloudHub workers

Each request is routed (scattered) to ALL three CloudHub workers at the same time

Questions # 20:

A mule application is being designed to perform product orchestration. The Mule application needs to join together the responses from an inventory API and a Product Sales History API with the least latency.

To minimize the overall latency. What is the most idiomatic (used for its intended purpose) design to call each API request in the Mule application?