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NEW QUESTION # 115
According to the National Institute of Standards and Technology (NIST), which cloud computing deployment model describes a composition of two or more distinct clouds that support data and application portability?
Answer: D
Explanation:
According to the National Institute of Standards and Technology (NIST), a hybrid cloud is a cloud computing deployment model that describes a composition of two or more distinct cloud infrastructures (private, community, or public) that remain unique entities but are bound together by standardized or proprietary technology that enables data and application portability. Hybrid clouds allow organizations to leverage the advantages of multiple cloud environments, such as combining the scalability and cost-efficiency of public clouds with the security and control of private clouds. This model facilitates flexibility and dynamic scalability, supporting diverse workloads and business needs while ensuring that sensitive data and applications can remain in a controlled private environment.
References
* NIST Definition of Cloud Computing
* Hybrid Cloud Overview and Benefits
NEW QUESTION # 116
A customer wants to use the mapped diagnostic context (MDC) and logging variables to enrich its logging and improve tracking by providing more context in the logs.
The customer also wants to improve the throughput and lower the latency of message processing.
As an Mulesoft integration architect can you advise, what should the customer implement to meet these requirements?
Answer: B
Explanation:
To meet the requirements of enriching logging with more context and improving throughput while reducing latency, the customer should use an asynchronous logging approach. Here's why option B is correct:
* Async Logger: Asynchronous logging helps in improving the performance by decoupling the logging from the main thread of execution. This reduces the latency of message processing since logging operations are offloaded to a separate thread.
* Logging Level Greater than INFO: Logging at levels such as WARN, ERROR, or FATAL ensures that only essential logs are written asynchronously, further enhancing performance. Avoiding DEBUG or TRACE levels unless necessary reduces the overhead of logging.
* Pattern Layout with [%MDC]: Using the pattern layout with [%MDC] in the log4j2.xml configuration file allows the inclusion of mapped diagnostic context in the logs. MDC is a feature that provides context-specific information, such as transaction IDs or user IDs, which helps in tracing and debugging.
Example configuration in log4j2.xml:
<Configuration status="WARN"> <Appenders> <Console name="Console" target="SYSTEM_OUT">
<PatternLayout pattern="%d{yyyy-MM-dd HH:mm:ss} [%t] %-5p %c{1} - %msg [%MDC]%n"/> </Console> <Async name="Async"> <AppenderRef ref="Console"/> </Async> </Appenders> <Loggers>
<Root level="WARN"> <AppenderRef ref="Async"/> </Root> </Loggers> </Configuration> This configuration ensures that the logs are enriched with context information provided by MDC and processed asynchronously to maintain high throughput and low latency.
References
* Log4j2 Asynchronous Logging
* Mapped Diagnostic Context (MDC) in Log4j2
NEW QUESTION # 117
A finance giant is planning to migrate all its Mule applications to Runtime fabric (RTF). Currently all Mule applications are deployed cloud hub using automated CI/CD scripts.
As an integration architect, which of the below step would you suggest to ensure that the applications from cloudhub are migrated properly to Runtime Fabric (RTF) with an assumption that organization is keen on keeping the same deployment strategy.
Answer: A
NEW QUESTION # 118
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?
Answer: B
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 # 119
What comparison is true about a CloudHub Dedicated Load Balancer (DLB) vs. the CloudHub Shared Load Balancer (SLB)?
Answer: D
Explanation:
* Shared load balancers don't allow you to configure custom SSL certificates or proxy rules
* Dedicated Load Balancer are optional but you need to purchase them additionally if needed.
* 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.
* The CloudHub Shared Load Balancer terminates TLS connections and uses its own server-side certificate.
* Only a DLB allows the configuration of a custom TLS server certificate
* DLB enables you to define SSL configurations to provide custom certificates and optionally enforce two-way SSL client authentication.
* To use a DLB 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.
* MuleSoft Reference: https://docs.mulesoft.com/runtime-manager/dedicated-load-balancer-tutorial Additional Info on SLB Vs DLB:
NEW QUESTION # 120
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