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NEW QUESTION 53
A Mule application is built to support a local transaction for a series of operations on a single database. The Mule application has a Scatter-Gather that participates in the local transaction.
What is the behavior of the Scatter-Gather when running within this local transaction?

• A. Execution of all routes within the Scatter-Gather occurs in parallel Any error that occurs inside the Scatter-Gather will result in a rollback of all the database operations
• B. Execution of each route within the Scatter-Gather occurs in parallel Any error that occurs inside the Scatter-Gather will NOT result in a rollback of any of the database operations
• C. Execution of each route within the Scatter-Gather occurs sequentially Any error that occurs inside the Scatter-Gather will NOT result in a rollback of any of the database operations
• D. Execution of each route within the Scatter-Gather occurs sequentially Any error that occurs inside the Scatter-Gather will result in a rollback of all the database operations

Answer: D

NEW QUESTION 54
A mule application must periodically process a large dataset which varies from 6 GB lo 8 GB from a back-end database and write transform data lo an FTPS server using a properly configured bad job scope.
The performance requirements of an application are approved to run in the cloud hub 0.2 vCore with 8 GB storage capacity and currency requirements are met.
How can the high rate of records be effectively managed in this application?

• A. Use streaming with a file storage repeatable strategy for reading records from the database and batch aggregator with streaming to write to FTPS
• B. Use streaming with a file store repeatable strategy reading records from the database and batch aggregator without any required configuration
• C. Use streaming with a file store repeatable strategy for reading records from the database and batch aggregator with an optimal size
• D. Use streaming with an in-memory reputable store strategy for reading records from the database and batch aggregator with streaming to write to FTPS

Answer: A

NEW QUESTION 55
An organization is designing Mule application which connects to a legacy backend. It has been reported that backend services are not highly available and experience downtime quite often. As an integration architect which of the below approach you would propose to achieve high reliability goals?

• A. Until Successful scope can be implemented while calling backend API's
• B. Alerts can be configured in Mule runtime so that backend team can be communicated when services are down
• C. On Error Continue scope to be used to call in case of error again
• D. Create a batch job with all requests being sent to backend using that job as per the availability of backend API's

Answer: A

Explanation:
Explanation
Correct answer is Untill Successful scope can be implemented while calling backend API's The Until Successful scope repeatedly triggers the scope's components (including flow references) until they all succeed or until a maximum number of retries is exceeded The scope provides option to control the max number of retries and the interval between retries The scope can execute any sequence of processors that may fail for whatever reason and may succeed upon retry

NEW QUESTION 56
A system API EmployeeSAPI is used to fetch employee's data from an underlying SQL database.
The architect must design a caching strategy to query the database only when there is an update to the employees stable or else return a cached response in order to minimize the number of redundant transactions being handled by the database.
What must the architect do to achieve the caching objective?

• A. Use a Scheduler with a fixed frequency every hour triggering an invalidate cache flow Use an object store caching strategy and set expiration interval to 1-hour
• B. Use an On Table Row on employees table and call invalidate cache
  Use an object store caching strategy and expiration interval to empty
• C. Use an on table rule on employees table call invalidate cache and said new employees data to cache Use an object store caching strategy and set expiration interval to 1-hour
• D. Use a Scheduler with a fixed frequency every hour triggering an invalidate cache flow Use an object store caching strategy and expiration interval to empty

Answer: B

NEW QUESTION 57
A company is implementing a new Mule application that supports a set of critical functions driven by a rest API enabled, claims payment rules engine hosted on oracle ERP. As designed the mule application requires many data transformation operations as it performs its batch processing logic.
The company wants to leverage and reuse as many of its existing java-based capabilities (classes, objects, data model etc.) as possible What approach should be considered when implementing required data mappings and transformations between Mule application and Oracle ERP in the new Mule application?

• A. Create a new metadata RAML classes in Mule from the appropriate Java objects and then perform transformations via Dataweave
• B. Invoke any of the appropriate Java methods directly, create metadata RAML classes and then perform required transformations via Dataweave
• C. Transform by calling any suitable Java class from Dataweave
• D. From the mule application, transform via theXSLT model

Answer: C

NEW QUESTION 58
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