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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Applying Integration Patterns | 11% | - Event-Driven Architecture (EDA) - Batch Processing - Integration Scenarios & Patterns |
| Topic 2: Deploying API Implementations to CloudHub | 11% | - Deployment Strategies - CloudHub 2.0 & Runtime Fabric - CloudHub Architecture |
| Topic 3: Managing APIs | 12% | - API Lifecycle Management - API Security (Policies, SLAs) - API Versioning |
| Topic 4: Understanding the MuleSoft Platform & Application Networks | 11% | - Application Network Fundamentals - MuleSoft Anypoint Platform Core Concepts - C4E (Center for Enablement) Definition |
| Topic 5: Designing and Sharing APIs | 11% | - API-Led Connectivity Approach - API Design Best Practices - Anypoint Exchange for Sharing Assets |
| Topic 6: Establishing Organizational and Platform Foundations | 17% | - Governance and Compliance Framework - Platform Foundation Setup - IT Delivery & C4E Operating Model |
| Topic 7: Architecting and Deploying API Implementations | 11% | - Disaster Recovery (DR) Strategies - High Availability (HA) Design - Mule Runtime Architecture |
| Topic 8: Monitoring and Analyzing Application Networks | 8% | - Analytics & Business Insights - Alerting & Auditing - Anypoint Monitoring Tools |
| Topic 9: Meeting API Quality Goals | 8% | - Unit & Integration Testing - API Performance Optimization - Resilience & Reliability Patterns |
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NEW QUESTION # 34
A Rate Limiting policy is applied to an API implementation to protect the back-end system. Recently, there have been surges in demand that cause some API client POST requests to the API implementation to be rejected with policy-related errors, causing delays and complications to the API clients.
How should the API policies that are applied to the API implementation be changed to reduce the frequency of errors returned to API clients, while still protecting the back-end system?
Answer: C
Explanation:
When managing high traffic to an API, especially with POST requests, it is crucial to ensure the API's policies both protect the back-end systems and provide a smooth client experience. Here's the approach to reducing errors:
Rate Limiting Policy: This policy enforces a limit on the number of requests within a defined time period. However, rate limiting alone may cause clients to hit limits during demand surges, leading to errors.
Adding an SLA-based Spike Control Policy:
Spike Control is designed to handle sudden increases in traffic by smoothing out bursts of requests, which is particularly useful during high-demand periods.
By configuring SLA-based Spike Control, you can define thresholds for specific client tiers. For instance, premium clients might have higher limits or more flexibility in traffic bursts than standard clients.
Why Option D is Correct:
Keeping the Rate Limiting policy continues to provide baseline protection for the back-end.
Adding the SLA-based Spike Control policy allows for differentiated control, where requests are queued or delayed during bursts rather than outright rejected. This approach significantly reduces error responses to clients while still controlling overall traffic.
of Incorrect Options:
Option A (adding Client ID Enforcement) would not reduce errors related to traffic surges.
Option B (HTTP Caching) is not applicable as caching is generally ineffective for non-idempotent requests like POST.
Option C (only Spike Control without Rate Limiting) may leave the back-end system vulnerable to sustained high traffic levels, reducing protection.
Reference
For more information on configuring Rate Limiting and SLA-based Spike Control policies, refer to MuleSoft documentation on API Policies and Rate Limiting.
NEW QUESTION # 35
An organization requires several APIs to be secured with OAuth 2.0, and PingFederate has been identified as the identity provider for API client authorization, The PingFederate Client Provider is configured in access management, and the PingFederate OAuth 2.0 Token Enforcement policy is configured for the API instances required by the organization. The API instances reside in two business groups (Group A and Group B) within the Master Organization (Master Org).
What should be done to allow API consumers to access the API instances?
Answer: A
Explanation:
OAuth 2.0 and PingFederate Setup:
The organization uses PingFederate as the identity provider, integrated with Anypoint Platform for OAuth 2.0 authentication and authorization.
The PingFederate OAuth 2.0 Token Enforcement policy is applied to the API instances, requiring clients to be registered and authenticated via PingFederate.
Accessing Secured APIs:
API consumers need to register their client applications in Anypoint Exchange to request access to the secured APIs.
The API administrator then reviews and approves the access request in API Manager. This grants the client application a contract, allowing it to access the API using OAuth 2.0 tokens issued by PingFederate.
Evaluating the Options:
Option A: Configuring the client discovery URL in child business groups is not relevant to granting access; this is part of setting up PingFederate, not managing consumer access.
Option B: While creating contracts in API Manager is necessary, this option lacks the detail about the process in Anypoint Exchange, where consumers request access.
Option C (Correct Answer): API consumers must create a client application in Anypoint Exchange to request access to the API, and the API administrator then approves the request in API Manager.
Option D: The access request and approval process happens within Anypoint Platform (Exchange and API Manager), not directly in Ping Identity.
Conclusion:
Option C is the correct answer as it accurately describes the process within Anypoint Platform where API consumers request access through Exchange, and the API administrator approves it.
Refer to MuleSoft's documentation on OAuth 2.0 setup with PingFederate and managing API client access in Exchange and API Manager.
NEW QUESTION # 36
Refer to the exhibit.
An organization uses one specific CloudHub (AWS) region for all CloudHub deployments.
How are CloudHub workers assigned to availability zones (AZs) when the organization's Mule applications are deployed to CloudHub in that region?
Answer: B
Explanation:
Correct Answe r: Workers are randomly distributed across available AZs within that region.
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>> Currently, we only have control to choose which AWS Region to choose but there is no control at all using any configurations or deployment options to decide what Availability Zone (AZ) to assign to what worker.
>> There are NO fixed or implicit rules on platform too w.r.t assignment of AZ to workers based on environment or application.
>> They are completely assigned in random. However, cloudhub definitely ensures that HA is achieved by assigning the workers to more than on AZ so that all workers are not assigned to same AZ for same application.
Reference:
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NEW QUESTION # 37
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: B
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 # 38
A code-centric API documentation environment should allow API consumers to investigate and execute API client source code that demonstrates invoking one or more APIs as part of representative scenarios.
What is the most effective way to provide this type of code-centric API documentation environment using Anypoint Platform?
Answer: D
Explanation:
Correct Answe r: Create API Notebooks and Include them in the relevant Anypoint exchange entries
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>> API Notebooks are the one on Anypoint Platform that enable us to provide code-centric API documentation Reference:
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NEW QUESTION # 39
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