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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Applying Integration Patterns | 11% | - Event-Driven Architecture (EDA) - Integration Scenarios & Patterns - Batch Processing |
| Topic 2: Designing and Sharing APIs | 11% | - API-Led Connectivity Approach - API Design Best Practices - Anypoint Exchange for Sharing Assets |
| Topic 3: Managing APIs | 12% | - API Versioning - API Security (Policies, SLAs) - API Lifecycle Management |
| Topic 4: Deploying API Implementations to CloudHub | 11% | - CloudHub 2.0 & Runtime Fabric - Deployment Strategies - CloudHub Architecture |
| Topic 5: Establishing Organizational and Platform Foundations | 17% | - Platform Foundation Setup - Governance and Compliance Framework - IT Delivery & C4E Operating Model |
| Topic 6: Architecting and Deploying API Implementations | 11% | - Mule Runtime Architecture - High Availability (HA) Design - Disaster Recovery (DR) Strategies |
| Topic 7: Meeting API Quality Goals | 8% | - API Performance Optimization - Unit & Integration Testing - Resilience & Reliability Patterns |
| Topic 8: Monitoring and Analyzing Application Networks | 8% | - Anypoint Monitoring Tools - Analytics & Business Insights - Alerting & Auditing |
| Topic 9: Understanding the MuleSoft Platform & Application Networks | 11% | - MuleSoft Anypoint Platform Core Concepts - C4E (Center for Enablement) Definition - Application Network Fundamentals |
>> Mule-Arch-201 Actual Questions <<
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NEW QUESTION # 128
What should be ensured before sharing an API through a public Anypoint Exchange portal?
Answer: D
Explanation:
Correct Answe r: The visibility level of the API instances of that API that need to be publicly accessible should be set to public visibility.
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Reference:
https://docs.mulesoft.com/exchange/to-share-api-asset-to-portal
NEW QUESTION # 129
A large lending company has developed an API to unlock data from a database server and web server. The API has been deployed to Anypoint Virtual Private Cloud (VPC) on CloudHub 1.0.
The database server and web server are in the customer's secure network and are not accessible through the public internet. The database server is in the customer's AWS VPC, whereas the web server is in the customer's on-premises corporate data center.
How can access be enabled for the API to connect with the database server and the web server?
Answer: C
Explanation:
Scenario Overview:
The API resides in Anypoint Virtual Private Cloud (VPC) on CloudHub 1.0, where it requires connectivity to both an AWS-hosted database server and an on-premises web server.
Both servers are isolated from the public internet: the database server is within the customer's AWS VPC, and the web server is within the customer's on-premises corporate data center.
Connectivity Requirements:
To connect to the AWS database server from the API in Anypoint VPC, VPC peering is ideal. This would allow a private network connection between the MuleSoft Anypoint VPC and the customer's AWS VPC, enabling secure, direct access to the database.
To connect to the on-premises web server, a VPN tunnel is suitable. This would establish a secure, encrypted connection from the Anypoint VPC to the customer's corporate data center, allowing secure data flow between the API and the on-premises web server.
Analysis of Options:
Option A (Correct Answer): Setting up VPC peering with AWS VPC enables private network connectivity with the database server, while a VPN tunnel to the on-premises data center allows secure access to the web server. This combination meets the requirements for secure, controlled access to both resources.
Option B: VPC peering alone would not suffice because it does not support a connection from the Anypoint VPC directly to an on-premises network. A VPN is necessary for on-premises access.
Option C: Setting up a transit gateway would provide connectivity within AWS but would not enable direct connectivity from CloudHub to the on-premises network.
Option D: VPC peering with the on-premises network is not possible because VPC peering is typically used to connect two VPCs, not a VPC with an on-premises network.
Conclusion:
Option A is the correct choice, as it provides a complete solution by using VPC peering for AWS VPC connectivity and a VPN tunnel for secure on-premises connectivity. This setup aligns with Anypoint Platform best practices for connecting Anypoint VPCs to both AWS-hosted and on-premises systems, ensuring secure, controlled access to both the database and web server.
For more detailed reference, MuleSoft documentation on Anypoint VPC peering and VPN connectivity provides additional context on best practices for setting up these connections within a hybrid network infrastructure.
NEW QUESTION # 130
A new upstream API Is being designed to offer an SLA of 500 ms median and 800 ms maximum (99th percentile) response time. The corresponding API implementation needs to sequentially invoke 3 downstream APIs of very similar complexity.
The first of these downstream APIs offers the following SLA for its response time: median: 100 ms, 80th percentile: 500 ms, 95th percentile: 1000 ms.
If possible, how can a timeout be set in the upstream API for the invocation of the first downstream API to meet the new upstream API's desired SLA?
Answer: A
Explanation:
Correct Answe r: Set a timeout of 100ms; that leaves 400ms for other two downstream APIs to complete
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Key details to take from the given scenario:
>> Upstream API's designed SLA is 500ms (median). Lets ignore maximum SLA response times.
>> This API calls 3 downstream APIs sequentially and all these are of similar complexity.
>> The first downstream API is offering median SLA of 100ms, 80th percentile: 500ms; 95th percentile: 1000ms.
Based on the above details:
>> We can rule out the option which is suggesting to set 50ms timeout. Because, if the median SLA itself being offered is 100ms then most of the calls are going to timeout and time gets wasted in retried them and eventually gets exhausted with all retries. Even if some retries gets successful, the remaining time wont leave enough room for 2nd and 3rd downstream APIs to respond within time.
>> The option suggesting to NOT set a timeout as the invocation of this API is mandatory and so we must wait until it responds is silly. As not setting time out would go against the good implementation pattern and moreover if the first API is not responding within its offered median SLA 100ms then most probably it would either respond in 500ms (80th percentile) or 1000ms (95th percentile). In BOTH cases, getting a successful response from 1st downstream API does NO GOOD because already by this time the Upstream API SLA of 500 ms is breached. There is no time left to call 2nd and 3rd downstream APIs.
>> It is NOT true that no timeout is possible to meet the upstream APIs desired SLA.
As 1st downstream API is offering its median SLA of 100ms, it means MOST of the time we would get the responses within that time. So, setting a timeout of 100ms would be ideal for MOST calls as it leaves enough room of 400ms for remaining 2 downstream API calls.
NEW QUESTION # 131
An organization has built an application network following the API-led connectivity approach recommended by MuleSoft. To protect the application network against attacks from malicious external API clients, the organization plans to apply JSON Threat Protection policies.
To which API-led connectivity layer should the JSON Threat Protection policies most commonly be applied?
Answer: A
Explanation:
Understanding JSON Threat Protection Policies:
JSON Threat Protection policies are used to protect APIs from attacks that exploit JSON payloads, such as oversized payloads, deeply nested objects, and excessive array elements. This helps prevent Denial of Service (DoS) attacks and other malicious payload-related threats.
These policies are typically applied to safeguard APIs that are directly exposed to external clients, where the risk of receiving malicious payloads is highest.
API-led Connectivity Layers:
Experience Layer: This layer is designed to expose APIs to end-users or external API clients, often acting as the interface that interacts with users or applications.
Process Layer: This layer is used for orchestration and aggregation of data from various System APIs, typically operating within a trusted environment and not directly exposed to external clients.
System Layer: This layer provides access to backend systems and databases, often within the organization's secure environment and not directly accessible to external clients.
Evaluating the Options:
Option A (All layers): While JSON Threat Protection can technically be applied to all layers, it is most commonly applied at the Experience layer, where APIs are exposed to external traffic and are more vulnerable to attacks.
Option B (System layer): The System layer is generally not exposed to external clients directly, so JSON Threat Protection is less critical here.
Option C (Process layer): Similar to the System layer, the Process layer is typically internal and not exposed directly to external clients, so JSON Threat Protection is less commonly applied.
Option D (Correct Answer): The Experience layer is the correct answer because it is the layer that directly interacts with external clients, making it the primary target for malicious payloads. Applying JSON Threat Protection here effectively protects the application network from external threats.
Conclusion:
Option D is the correct answer, as the Experience layer is the most common layer for applying JSON Threat Protection policies to protect against external attacks.
For further reference, consult MuleSoft's documentation on API security policies and best practices for securing APIs at the Experience layer.
NEW QUESTION # 132
When must an API implementation be deployed to an Anypoint VPC?
Answer: D
NEW QUESTION # 133
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