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MuleSoft MCPA-Level-1 Dumps

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MuleSoft MCPA-Level-1 Sample Questions

Question # 1

Select the correct Owner-Layer combinations from below options

A. 1. App Developers owns and focuses on Experience Layer APIs 2. Central IT owns and focuses on Process Layer APIs 3. LOB IT owns and focuses on System Layer APIs 
B. 1. Central IT owns and focuses on Experience Layer APIs 2. LOB IT owns and focuses on Process Layer APIs 3. App Developers owns and focuses on System Layer APIs 
C. 1. App Developers owns and focuses on Experience Layer APIs 2. LOB IT owns and focuses on Process Layer APIs 3. Central IT owns and focuses on System Layer APIs 



Question # 2

A set of tests must be performed prior to deploying API implementations to a staging environment. Due to data security and access restrictions, untested APIs cannot be granted access to the backend systems, so instead mocked data must be used for these tests. The amount of available mocked data and its contents is sufficient to entirely test the API implementations with no active connections to the backend systems. What type of tests should be used to incorporate this mocked data?

A. Integration tests 
B. Performance tests 
C. Functional tests (Blackbox) 
D. Unit tests (Whitebox) 



Question # 3

An API implementation returns three X-RateLimit-* HTTP response headers to a requesting API client. What type of information do these response headers indicate to the API client?

A. The error codes that result from throttling 
B. A correlation ID that should be sent in the next request 
C. The HTTP response size 
D. The remaining capacity allowed by the API implementation 



Question # 4

In an organization, the InfoSec team is investigating Anypoint Platform related data traffic. From where does most of the data available to Anypoint Platform for monitoring and alerting originate?

A. From the Mule runtime or the API implementation, depending on the deployment model 
B. From various components of Anypoint Platform, such as the Shared Load Balancer, VPC, and Mule runtimes 
C. From the Mule runtime or the API Manager, depending on the type of data 
D. From the Mule runtime irrespective of the deployment model 



Question # 5

A retail company with thousands of stores has an API to receive data about purchases and insert it into a single database. Each individual store sends a batch of purchase data to the API about every 30 minutes. The API implementation uses a database bulk insert command to submit all the purchase data to a database using a custom JDBC driver provided by a data analytics olution provider. The API implementation is deployed to a single CloudHub worker. The JDBC driver processes the data into a set of several temporary disk files on the CloudHub worker, and then the data is sent to an analytics engine using a proprietary protocol. This process usually takes less than a few minutes. Sometimes a request fails. In this case, the logs show a message from the JDBC driver indicating an out-of-file-space message. When the request is resubmitted, it is successful. What is the best way to try to resolve this throughput issue?

A. se a CloudHub autoscaling policy to add CloudHub workers 
B. Use a CloudHub autoscaling policy to increase the size of the CloudHub worker 
C. Increase the size of the CloudHub worker(s) 
D. Increase the number of CloudHub workers 



Question # 6

The application network is recomposable: it is built for change because it "bends but does not break"

A. TRUE 
B. FALSE 



Question # 7

What is the main change to the IT operating model that MuleSoft recommends to organizations to improve innovation and clock speed? 

A. Drive consumption as much as production of assets; this enables developers to discover and reuse assets from other projects and encourages standardization 
B. Expose assets using a Master Data Management (MDM) system; this standardizes projects and enables developers to quickly discover and reuse assets from other projects 
C. Implement SOA for reusable APIs to focus on production over consumption; this standardizes on XML and WSDL formats to speed up decision making 
D. Create a lean and agile organization that makes many small decisions everyday; this speeds up decision making and enables each line of business to take ownership of its projects 



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