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Salesforce Certified MuleSoft Integration Architect I Sample Questions (Q108-Q113):
NEW QUESTION # 108
What metrics about API invocations are available for visualization in custom charts using Anypoint Analytics?
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 :Line chart representing response time in ms
* To check this, You can go to API Manager > Analytics > Custom Dashboard > Edit Dashboard > Create Chart > Metric
Reference:
Additional Information:
The default dashboard contains a set of charts
- Requests by date: Line chart representing number of requests
- Requests by location: Map chart showing the number of requests for each country of origin
- Requests by application: Bar chart showing the number of requests from each of the top five registered applications
- Requests by platform: Ring chart showing the number of requests broken down by platform
NEW QUESTION # 109
Which of the below requirements prevent the usage of Anypoint MQ in a company's network? (Choose two answers)
Answer: B,C
Explanation:
Anypoint MQ is a cloud-based messaging service provided by MuleSoft. It is designed to work within MuleSoft's cloud ecosystem, which can impose certain limitations that might prevent its use in some scenarios:
* Message Broker Must Be Hosted On-Premises:
* Anypoint MQ is a cloud service and cannot be hosted on-premises. If a company requires its message broker to be hosted within its own data center for security, compliance, or other reasons, Anypoint MQ would not be suitable.
* Ability for a Third Party Outside the Company's Network to Consume Events from the Queue:
* Anypoint MQ is designed to work primarily within the Anypoint Platform ecosystem. While it does support external consumers, it requires proper security configurations, and there may be limitations or additional steps needed to securely expose queues to third-party systems outside the company's network.
References
* MuleSoft Documentation: Anypoint MQ
* MuleSoft Anypoint MQ Overview
NEW QUESTION # 110
A Mule application is being designed for deployment to a single CloudHub worker. The Mule application will have a flow that connects to a SaaS system to perform some operations each time the flow is invoked.
The SaaS system connector has operations that can be configured to request a short-lived token (fifteen minutes) that can be reused for subsequent connections within the fifteen minute time window. After the token expires, a new token must be requested and stored.
What is the most performant and idiomatic (used for its intended purpose) Anypoint Platform component or service to use to support persisting and reusing tokens in the Mule application to help speed up reconnecting the Mule application to the SaaS application?
Answer: A
NEW QUESTION # 111
A Mule application is synchronizing customer data between two different database systems.
What is the main benefit of using eXtended Architecture (XA) transactions over local transactions to synchronize these two different database systems?
Answer: B
NEW QUESTION # 112
An organization is successfully using API led connectivity, however, as the application network grows, all the manually performed tasks to publish share and discover, register, apply policies to, and deploy an API are becoming repetitive pictures driving the organization to automate this process using efficient CI/'CD pipeline. Considering Anypoint platforms capabilities how should the organization approach automating is API lifecycle?
Answer: D
NEW QUESTION # 113
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