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NEW QUESTION # 11
What is true about the technology architecture of Anypoint VPCs?
Answer: A
Explanation:
Correct Answer : Traffic between Mule applications deployed to an Anypoint VPC and on-premises systems can stay within a private network
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>> The private IP address range of an Anypoint VPC is NOT automatically chosen by CloudHub. It is chosen by us at the time of creating VPC using thr CIDR blocks.
CIDR Block: The size of the Anypoint VPC in Classless Inter-Domain Routing (CIDR) notation.
For example, if you set it to 10.111.0.0/24, the Anypoint VPC is granted 256 IP addresses from 10.111.0.0 to 10.111.0.255.
Ideally, the CIDR Blocks you choose for the Anypoint VPC come from a private IP space, and should not overlap with any other Anypoint VPC's CIDR Blocks, or any CIDR Blocks in use in your corporate network.
that each CloudHub environment requires a separate Anypoint VPC. Once an Anypoint VPC is created, we can choose a same VPC by multiple environments. However, it is generally a best and recommended practice to always have seperate Anypoint VPCs for Non-Prod and Prod environments.
>> We use Anypoint VPN to link the underlying AWS VPC to an on-premises (non AWS) private network. NOT VPC Peering.
Reference:
Only true statement in the given choices is that the traffic between Mule applications deployed to an Anypoint VPC and on-premises systems can stay within a private network.
https://docs.mulesoft.com/runtime-manager/vpc-connectivity-methods-concept
NEW QUESTION # 12
Which component monitors APIs and endpoints at scheduled intervals, receives reports about whether tests pass or fail, and displays statistics about API and endpoint performance?
Answer: C
Explanation:
Understanding API Functional Monitoring:
API Functional Monitoring is a feature within MuleSoft's Anypoint Platform that enables users to monitor the health and performance of APIs and endpoints by running functional tests at scheduled intervals.
It checks whether APIs are functioning as expected by running test calls and then evaluating if the response meets the desired conditions. This is particularly useful for testing endpoint availability, checking for specific data in responses, and measuring API performance over time.
Component Features:
Scheduled Intervals: Functional monitoring allows configuring tests to run at regular intervals, such as every minute, hour, or day, depending on the monitoring requirements.
Reports on Test Pass/Fail Status: After each test run, API Functional Monitoring reports whether the API passed or failed the test conditions.
Performance Statistics: It displays metrics like average response time, success rate, and error rates, giving insights into API health and performance.
Evaluating the Options:
Option A (API Analytics): API Analytics provides insights on API usage and metrics but does not involve scheduled tests for pass/fail status or endpoint health checks.
Option B (Anypoint Monitoring Dashboards): These dashboards display API metrics but do not actively test API endpoints or provide pass/fail reporting on a scheduled basis.
Option C (Correct Answer): API Functional Monitoring fits the description, as it is designed to monitor API and endpoint health with scheduled test runs and display statistics about performance.
Option D (Anypoint Runtime Manager Alerts): Runtime Manager alerts notify users of issues with application status but do not actively test endpoints at scheduled intervals.
Conclusion:
Option C (API Functional Monitoring) is the correct answer because it provides the necessary tools to test API functionality, monitor endpoint health, and display performance statistics in real-time.
Refer to MuleSoft documentation on API Functional Monitoring for further guidance on setting up and configuring these tests in Anypoint Platform.
NEW QUESTION # 13
An application updates an inventory running only one process at any given time to keep the inventory consistent. This process takes 200 milliseconds (.2 seconds) to execute; therefore, the scalability threshold of the application is five requests per second.
What is the impact on the application if horizontal scaling is applied, thereby increasing the number of Mule workers?
Answer: B
Explanation:
Given that the application is designed to handle only one process at a time to maintain data consistency, here's why horizontal scaling won't increase the processing limit:
Single-Process Constraint:
The application limits to processing one transaction at a time due to its design for consistency, meaning horizontal scaling (adding more workers) does not increase processing speed beyond this limit.
Execution Time:
Since each request takes 200 ms, five requests per second is the maximum processing threshold. Increasing the number of workers does not bypass this single-process limitation.
of Correct Answer (A):
The scalability remains at five requests per second, as this constraint is intrinsic to the application's design.
of Incorrect Options:
Option B suggests a change in execution time, which horizontal scaling does not affect.
Option C assumes doubling the throughput, which isn't possible due to the single-threaded nature of the application.
Option D suggests horizontal scaling cannot apply, which is incorrect; however, scaling does not increase throughput in this context.
Reference
For more on understanding scaling and concurrency in Mule applications, see MuleSoft's documentation on application performance and scaling limitations.
NEW QUESTION # 14
A large company wants to implement IT infrastructure in its own data center, based on the corporate IT policy requirements that data and metadata reside locally.
Which combination of Mule control plane and Mule runtime plane(s) meets the requirements?
Answer: C
Explanation:
Understanding Control and Runtime Planes:
Control Plane: The control plane is responsible for managing, monitoring, and deploying Mule applications. In a Private Cloud Edition (PCE), this control plane is deployed on-premises within the customer's infrastructure, meeting data residency and security requirements.
Runtime Plane: The runtime plane consists of Mule runtimes that execute Mule applications. By hosting these runtimes within the customer's infrastructure, data and metadata can remain local, which complies with corporate policies regarding data residency.
Evaluating the Options:
Option A: Using Anypoint Platform Private Cloud Edition for the control plane and the MuleSoft-hosted runtime plane would not meet the requirement, as the runtime plane is hosted by MuleSoft and would not keep data local.
Option B: The MuleSoft-hosted control plane with Anypoint Runtime Fabric for the runtime plane would still mean that metadata is managed in MuleSoft's cloud, which does not comply with the requirement to keep data and metadata on-premises.
Option C: A MuleSoft-hosted control plane and customer-hosted Mule runtimes also mean that metadata resides in the cloud, not on-premises, failing the residency requirement.
Option D (Correct Answer): Anypoint Platform Private Cloud Edition (PCE) for the control plane and customer-hosted Mule runtimes fulfill both requirements, as both the control plane and runtime plane would be hosted within the customer's data center.
Conclusion:
Option D is the correct answer, as it ensures that both the control plane and runtime plane are hosted on-premises, allowing data and metadata to reside locally per the corporate IT policy.
Refer to MuleSoft's documentation on Private Cloud Edition deployment and on-premise runtime configurations for further details.
NEW QUESTION # 15
4 Production environment is running on a dedicated Virtual Private Cloud (VPC) on CloudHub 1,0, and the security team guidelines clearly state no traffic on HTTP.
Which two options support these security guidelines?
Choose 2 answers
Answer: A,E
Explanation:
Security Guidelines Overview:
The production environment is hosted on a dedicated Virtual Private Cloud (VPC) on CloudHub 1.0, with a specific requirement from the security team that no traffic should occur over HTTP. This implies that only secure HTTPS traffic should be permitted, and HTTP access (port 8081, the default HTTP port in Mule applications) should be disabled.
Evaluating the Options:
Option A (Correct Answer): Configuring the HTTPS protocol in the HTTP listener in the Mule application ensures that all traffic is encrypted and occurs over HTTPS (port 8092 by default for HTTPS on Mule applications). This directly aligns with the security guideline to prevent unencrypted HTTP traffic.
Option B: Creating a custom policy for incoming and outgoing HTTP requests could provide some control over access, but it does not enforce the use of HTTPS exclusively. This option does not disable HTTP traffic and, therefore, does not meet the guideline effectively.
Option C (Correct Answer): Removing the entry for HTTP (port 8081) in the VPC firewall rule ensures that HTTP traffic is completely blocked at the firewall level. This prevents any HTTP requests from reaching the application, adding a layer of security that complies with the guidelines.
Option D: The IP Blocklist policy controls access based on IP addresses but does not enforce the use of HTTPS. This policy does not address the specific requirement of preventing HTTP traffic.
Option E: Adding a firewall rule entry for HTTP (port 8081) would enable HTTP traffic, which directly contradicts the security guidelines. Therefore, this option should be avoided.
Conclusion:
Option A and Option C are the correct choices. Configuring the HTTPS protocol in the Mule application's HTTP listener ensures that only HTTPS traffic is allowed, and removing the firewall rule for HTTP (port 8081) blocks any HTTP traffic from reaching the application. Together, these options enforce secure traffic as required by the security guidelines.
Refer to MuleSoft documentation on configuring HTTP listeners and managing VPC firewall rules for further details on implementing these security controls.
NEW QUESTION # 16
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