An organization is designing a mule application to support an all or nothing transaction between serval database operations and some other connectors so that they all roll back if there is a problem with any of the connectorsBesides the database connector , what other connector can be used in the transaction.
Answer(s): A
Correct answer is VM VM support Transactional Type. When an exception occur, The transaction rolls back to its original state for reprocessing. This feature is not supported by other connectors. Here is additional information about Transaction management.
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?
Answer(s): B
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.
https://www.w3.org/Protocols/rfc2616/rfc2616-sec10.html
An organization is migrating all its Mule applications to Runtime Fabric (RTF). None of the Mule applications use Mule domain projects.Currently, all the Mule applications have been manually deployed to a server group among several customer hosted Mule runtimes.Port conflicts between these Mule application deployments are currently managed by the DevOps team who carefully manage Mule application properties files.When the Mule applications are migrated from the current customer-hosted server group to Runtime Fabric (RTF), fo the Mule applications need to be rewritten and what DevOps port configuration responsibilities change or stay the same?
Answer(s): C
* Anypoint Runtime Fabric is a container service that automates the deployment and orchestration of your Mule applications and gateways.* Runtime Fabric runs on customer-managed infrastructure on AWS, Azure, virtual machines (VMs) or bare-metal servers.* As none of the Mule applications use Mule domain projects. applications are not required to be rewritten. Also when applications are deployed on RTF, by default ingress is allowed only on 8081.* Hence port conflicts are not required to be managed by DevOps team
An organization is evaluating using the CloudHub shared Load Balancer (SLB) vs creating a CloudHub dedicated load balancer (DLB). They are evaluating how this choice affects the various types of certificates used by CloudHub deplpoyed Mule applications, including MuleSoft-provided, customerprovided, or Mule application-provided certificates.What type of restrictions exist on the types of certificates that can be exposed by the CloudHub Shared Load Balancer (SLB) to external web clients over the public internet?
https://docs.mulesoft.com/runtime-manager/dedicated-load-balancer-tutorial
A Mule application is being designed To receive nightly a CSV file containing millions of records from an external vendor over SFTP, The records from the file need to be validated, transformed. And then written to a database. Records can be inserted into the database in any order.In this use case, what combination of Mule components provides the most effective and performant way to write these records to the database?
Correct answer is Use a Batch job scope to bulk insert records into the database* Batch Job is most efficient way to manage millions of records.A few points to note here are as follows :Reliability: If you want reliabilty while processing the records, i.e should the processing survive a runtime crash or other unhappy scenarios, and when restarted process all the remaining records, if yes then go for batch as it uses persistent queues.Error Handling: In Parallel for each an error in a particular route will stop processing the remaining records in that route and in such case you'd need to handle it using on error continue, batch process does not stop during such error instead you can have a step for failures and have a dedicated handling in it.Memory footprint: Since question said that there are millions of records to process, parallel for each will aggregate all the processed records at the end and can possibly cause Out Of Memory. Batch job instead provides a BatchResult in the on complete phase where you can get the count of failures and success. For huge file processing if order is not a concern definitely go ahead with Batch Job.
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good questions. thanks.
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q40 the answer is not d, why are you giving incorrect answers? snapshot consolidation is used to merge the snapshot delta disk files to the vm base disk
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in the pdf downloaded is write google cloud database engineer i think that it isnt the correct exam
i think you have the answers wrong regarding question: "what are three core principles of web content accessibility guidelines (wcag)? answer: robust, operable, understandable
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question 59 - a newly-created role is not assigned to any user, nor granted to any other role. answer is b https://docs.snowflake.com/en/user-guide/security-access-control-overview
just passed my exam today. i saw all of these questions in my text today. so i can confirm this is a valid dump.
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just clear exam on 10/06/2202 dumps is valid all questions are came same in dumps only 2 new questions total 46 questions 1 case study with 5 question no lab/simulation in my exam please check the answers best of luck
q.112 - correct answer is c - the event registry is a module that provides event definitions. answer a - not correct as it is the definition of event log
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totally not correct answers. 21. you have one gcp account running in your default region and zone and another account running in a non-default region and zone. you want to start a new compute engine instance in these two google cloud platform accounts using the command line interface. what should you do? correct: create two configurations using gcloud config configurations create [name]. run gcloud config configurations activate [name] to switch between accounts when running the commands to start the compute engine instances.
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