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NEW QUESTION 51
What metrics about API invocations are available for visualization in custom charts using Anypoint Analytics?

• A. Request size, number of requests, JDBC Select operation result set size
• B. Request size, number of requests, JDBC Select operation response time
• 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 :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 52
A Mule application is being designed to do the following:
Step 1: Read a SalesOrder message from a JMS queue, where each SalesOrder consists of a header and a list of SalesOrderLineltems.
Step 2: Insert the SalesOrder header and each SalesOrderLineltem into different tables in an RDBMS.
Step 3: Insert the SalesOrder header and the sum of the prices of all its SalesOrderLineltems into a table In a different RDBMS.
No SalesOrder message can be lost and the consistency of all SalesOrder-related information in both RDBMSs must be ensured at all times.
What design choice (including choice of transactions) and order of steps addresses these requirements?

• A. 1) Read the JMS message in an XA transaction
  2) In the SAME XA transaction, perform BOTH DB inserts but do NOT acknowledge the JMS message
• B. 1) Read and acknowledge the JMS message (NOT in an XA transaction)
  2) In a NEW XA transaction, perform BOTH DB inserts
• C. 1) Read the JMS message (NOT in an XA transaction)
  2) Perform EACH DB insert in a SEPARATE DB transaction
  3) Acknowledge the JMS message
• D. 1) Read the JMS message (NOT in an XA transaction)
  2) Perform BOTH DB inserts in ONE DB transaction
  3) Acknowledge the JMS message

Answer: D

NEW QUESTION 53
What requires configuration of both a key store and a trust store for an HTTP Listener?

• A. Support for TLS mutual (two-way) authentication with HTTP clients
• B. Encryption of both HTTP request and HTTP response bodies for all HTTP clients
• C. Encryption of requests to both subdomains and API resource endpoints fhttPs://aDi.customer.com/ and
  https://customer.com/api)
• D. Encryption of both HTTP request header and HTTP request body for all HTTP clients

Answer: A

NEW QUESTION 54
Refer to the exhibit.

A business process involves the receipt of a file from an external vendor over SFTP. The file needs to be parsed and its content processed, validated, and ultimately persisted to a database. The delivery mechanism is expected to change in the future as more vendors send similar files using other mechanisms such as file transfer or HTTP POST.
What is the most effective way to design for these requirements in order to minimize the impact of future change?

• A. Create an API that receives the file and invokes a Process API with the data contained In the file, then have the Process API process the data using a MuleSoft Batch Job and other System APIs as needed
• B. Create a Process API to receive the file and process it using a MuleSoft Batch Job while delegating the data save process to a System API
• C. Use a composite data source so files can be retrieved from various sources and delivered to a MuleSoft Batch Job for processing
• D. Use a MuleSoft Scatter-Gather and a MuleSoft Batch Job to handle the different files coming from different sources

Answer: A

NEW QUESTION 55
......