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What metrics about API invocations are available for visualization in custom charts using Anypoint Analytics?
A. Request size, number of requests, JDBC Select operation response time
B. Request size, number of requests, JDBC Select operation result set size
C. Request size, request HTTP verbs, response time
D. Request size, number of requests, response size, response time
Answer: D
Explanation:
Correct answer is Request size, number of requests, response size, response time Analytics API Analytics can provide insight into how your APIs are being used and how they are performing. From API Manager, you can access the Analytics dashboard, create a custom dashboard, create and manage charts, and create reports.
From API Manager, you can get following types of analytics: - API viewing analytics - API events analytics - Charted metrics in API Manager It can be accessed using: http://anypoint.mulesoft.com/analytics API Analytics provides a summary in chart form of requests, top apps, and latency for a particular duration.
The custom dashboard in Anypoint Analytics contains a set of charts for a single API or for all APIs Each chart displays various API characteristics
- Requests size: Line chart representing size of requests in KBs
- Requests : Line chart representing number of requests over a period
- Response size : Line chart representing size of response in KBs
- Response time ine chart representing response time in ms
* To check this, You can go to API Manager > Analytics > Custom Dashboard > Edit Dashboard > Create Chart > Metric Graphical user interface, chart Description automatically generated
NEW QUESTION # 108
According to MuleSoft's IT delivery and operating model, which approach can an organization adopt in order to reduce the frequency of IT project delivery failures?
A. Prevent technology sprawl by reducing production of API assets
B. Adopt an enterprise data model
C. Decouple central IT projects from the innovation that happens within each line of business
D. Stop scope creep by centralizing requirements-gathering
Answer: C
Explanation:
According to MuleSoft's IT delivery and operating model, one effective approach to reduce the frequency of IT project delivery failures is to decouple central IT projects from the innovation that happens within each line of business. This approach allows individual business units to innovate and develop solutions tailored to their specific needs while the central IT team focuses on providing core services and governance. By decentralizing innovation, organizations can increase agility, reduce bottlenecks, and foster a more responsive IT environment that can quickly adapt to changing business requirements.
References
* MuleSoft IT Operating Model Guidelines
* Anypoint Platform Documentation on Decoupling IT Projects
NEW QUESTION # 109
How are the API implementation , API client, and API consumer combined to invoke and process an API ?
A. The API client creates an API consumer which sends API invocations to an API such that they are processed by API implementation
B. The API consumer creates an API client which sends API invocations to an API such that they are processed by an API implementation
C. An API client creates an API consumer, which receives API invocation from an API such that they are processed for an API implementation
D. The API consumer creates an API implementation , which receives API invocations from an API such that they are processed for an API client
Answer: C
Explanation:
The API consumer creates an API client which sends API invocations to an API such that they are processed by an API implementation This is based on below definitions API client * An application component * that accesses a service * by invoking an API of that service - by definition of the term API over HTTP API consumer * A business role, which is often assigned to an individual * that develops API clients, i.e., performs the activities necessary for enabling an API client to invoke APIs API implementation * An application component * that implements the functionality
NEW QUESTION # 110
An application deployed to a runtime fabric environment with two cluster replicas is designed to periodically trigger of flow for processing a high-volume set of records from the source system and synchronize with the SaaS system using the Batch job scope After processing 1000 records in a periodic synchronization of 1 lakh records, the replicas in which batch job instance was started went down due to unexpected failure in the runtime fabric environment What is the consequence of losing the replicas that run the Batch job instance?
A. The second replicas will take over processing the remaining
99000 records
B. A new replacement replica will be available and will be process all 1,00,000 records from scratch leading to duplicate record processing
C. A new placement replica will be available and will take or processing the remaining 99,000 records
D. The remaining 99000 records will be lost and left and processed
Answer: A
NEW QUESTION # 111
An XA transaction Is being configured that involves a JMS connector listening for Incoming JMS messages.
What is the meaning of the timeout attribute of the XA transaction, and what happens after the timeout expires?
A. The time that Is allowed to pass for state JMS consumer threads to be destroyed After the timeout, a new JMS consumer thread is created
B. The time that Is allowed to pass between receiving JMS messages on the same JMS connection After the timeout, a new JMS connection Is established
C. The time that Is allowed to pass without the transaction being ended explicitly After the timeout, the transaction Is forcefully rolled-back
D. The time that is allowed to pass between committing the transaction and the completion of the Mule flow After the timeout, flow processing triggers an error
Answer: C
Explanation:
* Setting a transaction timeout for the Bitronix transaction manager
# Set the transaction timeout either
- In wrapper.conf
- In CloudHub in the Properties tab of the Mule application deployment
# The default is 60 secs. It is defined as
mule.bitronix.transactiontimeout = 120
* This property defines the timeout for each transaction created for this manager.
If the transaction has not terminated before the timeout expires it will be automatically rolled back.
--------------------------------------------------------------------------------------------------------------------- Additional Info around Transaction Management:
Bitronix is available as the XA transaction manager for Mule applications
# To use Bitronix, declare it as a global configuration element in the Mule application
<bti:transaction-manager />
# Each Mule runtime can have only one instance of a Bitronix transaction manager, which is shared by all Mule applications
# For customer-hosted deployments, define the XA transaction manager in a Mule domain
- Then share this global element among all Mule applications in the Mule runtime Graphical user interface, table Description automatically generated with medium confidence
NEW QUESTION # 112
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ine chart representing response time in ms
