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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitoring and Analyzing Application Networks | 8% | - Alerting & Auditing - Analytics & Business Insights - Anypoint Monitoring Tools |
| Topic 2: Deploying API Implementations to CloudHub | 11% | - Deployment Strategies - CloudHub Architecture - CloudHub 2.0 & Runtime Fabric |
| Topic 3: Architecting and Deploying API Implementations | 11% | - Mule Runtime Architecture - High Availability (HA) Design - Disaster Recovery (DR) Strategies |
| Topic 4: Understanding the MuleSoft Platform & Application Networks | 11% | - MuleSoft Anypoint Platform Core Concepts - Application Network Fundamentals - C4E (Center for Enablement) Definition |
| Topic 5: Establishing Organizational and Platform Foundations | 17% | - IT Delivery & C4E Operating Model - Governance and Compliance Framework - Platform Foundation Setup |
| Topic 6: Managing APIs | 12% | - API Lifecycle Management - API Security (Policies, SLAs) - API Versioning |
| Topic 7: Meeting API Quality Goals | 8% | - Unit & Integration Testing - API Performance Optimization - Resilience & Reliability Patterns |
| Topic 8: Designing and Sharing APIs | 11% | - API Design Best Practices - API-Led Connectivity Approach - Anypoint Exchange for Sharing Assets |
| Topic 9: Applying Integration Patterns | 11% | - Event-Driven Architecture (EDA) - Integration Scenarios & Patterns - Batch Processing |
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NEW QUESTION # 41
A customer wants to monitor and gain insights about the number of requests coming in a given time period as well as to measure key performance indicators (response times, CPU utilization, number of active APIs).
Which tool provides these data insights?
Answer: D
Explanation:
Understanding Anypoint Monitoring and Its Capabilities:
Anypoint Monitoring provides comprehensive visibility into Mule applications, offering metrics and analytics such as request counts, response times, CPU utilization, memory usage, and other key performance indicators (KPIs). This tool is designed to help teams monitor API usage, troubleshoot issues, and optimize application performance.
Evaluating the Options:
Option A (Correct Answer): Anypoint Monitoring is the ideal tool for this requirement. It provides real-time insights into metrics such as the number of requests, response times, CPU utilization, and active API usage.
Option B (API Manager): API Manager focuses on API lifecycle management, including applying policies, managing contracts, and setting access controls. It does not provide performance monitoring or KPI tracking.
Option C (Runtime Alerts): Runtime Alerts can notify users of specific conditions, like high CPU usage, but they do not provide a full suite of metrics or insights over a given time period.
Option D (Functional Monitoring): Functional Monitoring focuses on functional testing of APIs rather than performance and usage metrics. It does not provide continuous KPI tracking.
Conclusion:
Option A is the correct answer. Anypoint Monitoring is the most suitable tool to track the specified metrics, providing detailed insights into API requests, response times, CPU usage, and active API counts.
For further details, refer to MuleSoft's Anypoint Monitoring documentation on configuring dashboards and tracking performance metrics.
NEW QUESTION # 42
An API implementation is deployed to CloudHub.
What conditions can be alerted on using the default Anypoint Platform functionality, where the alert conditions depend on the API invocations to an API implementation?
Answer: D
Explanation:
Default Alert Capabilities in Anypoint Platform:
Anypoint Platform provides out-of-the-box alerting capabilities for monitoring API invocation conditions, including setting thresholds for the number of invocations.
Alerts can be configured for conditions such as high or low traffic (invocations exceeding or falling below a defined threshold).
Evaluating the Options:
Option A: Anypoint Platform does not provide direct alerting based on DNS records.
Option B: Anypoint Platform does not provide default alerts based on whether invocations use TLS/SSL; this would require custom configuration.
Option C: Geolocation-based alerting is not natively supported in Anypoint Platform.
Option D (Correct Answer): Alerts based on API invocation thresholds (e.g., invocations falling below a set threshold) are supported and can be configured as part of the default Anypoint alerting functionality.
Conclusion:
Option D is correct, as Anypoint Platform allows configuring alerts based on the number of API invocations falling below or exceeding a threshold.
Refer to MuleSoft's documentation on Anypoint Monitoring and alert configurations for more details.
NEW QUESTION # 43
What best describes the Fully Qualified Domain Names (FQDNs), also known as DNS entries, created when a Mule application is deployed to the CloudHub Shared Worker Cloud?
Answer: C
Explanation:
Correct Answe r: The FQDNs are determined by the application name chosen, IRRESPECTIVE of the region
*****************************************
>> When deploying applications to Shared Worker Cloud, the FQDN are always determined by application name chosen.
>> It does NOT matter what region the app is being deployed to.
>> Although it is fact and true that the generated FQDN will have the region included in it (Ex: exp-salesorder-api.au-s1.cloudhub.io), it does NOT mean that the same name can be used when deploying to another CloudHub region.
>> Application name should be universally unique irrespective of Region and Organization and solely determines the FQDN for Shared Load Balancers.
NEW QUESTION # 44
What is typically NOT a function of the APIs created within the framework called API-led connectivity?
Answer: B
Explanation:
Correct Answe r: They provide an additional layer of resilience on top of the underlying backend system, thereby insulating clients from extended failure of these systems.
*****************************************
In API-led connectivity,
>> Experience APIs - allow for innovation at the user interface level by consuming the underlying assets without being aware of how data is being extracted from backend systems.
>> Process APIs - compose data from various sources and combine them with orchestration logic to create higher level value
>> System APIs - reduce the dependency on the underlying backend systems by helping unlock data from backend systems in a reusable and consumable way.
However, they NEVER promise that they provide an additional layer of resilience on top of the underlying backend system, thereby insulating clients from extended failure of these systems.
https://dzone.com/articles/api-led-connectivity-with-mule
NEW QUESTION # 45
What is the most performant out-of-the-box solution in Anypoint Platform to track transaction state in an asynchronously executing long-running process implemented as a Mule application deployed to multiple CloudHub workers?
Answer: D
Explanation:
Correct Answe r: Persistent Object Store
*****************************************
>> Redis distributed cache is performant but NOT out-of-the-box solution in Anypoint Platform
>> File-storage is neither performant nor out-of-the-box solution in Anypoint Platform
>> java.util.WeakHashMap needs a completely custom implementation of cache from scratch using Java code and is limited to the JVM where it is running. Which means the state in the cache is not worker aware when running on multiple workers. This type of cache is local to the worker. So, this is neither out-of-the-box nor worker-aware among multiple workers on cloudhub. https://www.baeldung.com/java-weakhashmap
>> Persistent Object Store is an out-of-the-box solution provided by Anypoint Platform which is performant as well as worker aware among multiple workers running on CloudHub. https://docs.mulesoft.com/object-store/ So, Persistent Object Store is the right answer.
NEW QUESTION # 46
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