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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deploying API Implementations to CloudHub | 11% | - Worker sizing and resource planning - VPC and private space configuration - CloudHub architecture and capabilities - Deployment optimization and scaling |
| Topic 2: Applying Integration Patterns | 11% | - Common integration patterns and use cases - Event-driven and synchronous integration - Scalability and performance patterns - Error handling and reliability patterns |
| Topic 3: Architecting and Deploying API Implementations | 11% | - Runtime architecture and deployment options - CI/CD and DevOps integration - Networking and security configuration - High availability and fault tolerance |
| Topic 4: Designing and Sharing APIs | 11% | - API specification and documentation - API layering: Experience, Process, System APIs - Asset sharing and reuse via Anypoint Exchange - API design standards and best practices |
| Topic 5: Managing APIs | 12% | - Rate limiting and throttling - Versioning and deprecation strategies - API policies and security enforcement - API lifecycle management |
| Topic 6: Meeting API Quality Goals | 8% | - Maintainability and testability - Reliability and availability targets - Performance and latency requirements - Security and compliance standards |
| Topic 7: Monitoring and Analyzing Application Networks | 8% | - Analytics and insight generation - Operational visibility and optimization - Monitoring strategies and tools - Logging and alerting configuration |
| Topic 8: Establishing Organizational and Platform Foundations | 17% | - Platform strategy and roadmap definition - Center for Enablement (C4E) operating model - Governance and organizational structure - Anypoint Platform architecture and components |
| Topic 9: Explaining Application Network Basics | 11% | - Core concepts of application networks - Benefits of modern API design - API-led connectivity principles |
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NEW QUESTION # 128
A system API is deployed to a primary environment as well as to a disaster recovery (DR) environment, with different DNS names in each environment. A process API is a client to the system API and is being rate limited by the system API, with different limits in each of the environments. The system API's DR environment provides only 20% of the rate limiting offered by the primary environment. What is the best API fault-tolerant invocation strategy to reduce overall errors in the process API, given these conditions and constraints?
Answer: B
Explanation:
Correct Answe r: Invoke the system API deployed to the primary environment; add timeout and retry logic to the process API to avoid intermittent failures; if it still fails, invoke the system API deployed to the DR environment
*****************************************
There is one important consideration to be noted in the question which is - System API in DR environment provides only 20% of the rate limiting offered by the primary environment. So, comparitively, very less calls will be allowed into the DR environment API opposed to its primary environment. With this in mind, lets analyse what is the right and best fault-tolerant invocation strategy.
1. Invoking both the system APIs in parallel is definitely NOT a feasible approach because of the 20% limitation we have on DR environment. Calling in parallel every time would easily and quickly exhaust the rate limits on DR environment and may not give chance to genuine intermittent error scenarios to let in during the time of need.
2. Another option given is suggesting to add timeout and retry logic to process API while invoking primary environment's system API. This is good so far. However, when all retries failed, the option is suggesting to invoke the copy of process API on DR environment which is not right or recommended. Only system API is the one to be considered for fallback and not the whole process API. Process APIs usually have lot of heavy orchestration calling many other APIs which we do not want to repeat again by calling DR's process API. So this option is NOT right.
3. One more option given is suggesting to add the retry (no timeout) logic to process API to directly retry on DR environment's system API instead of retrying the primary environment system API first. This is not at all a proper fallback. A proper fallback should occur only after all retries are performed and exhausted on Primary environment first. But here, the option is suggesting to directly retry fallback API on first failure itself without trying main API. So, this option is NOT right too.
This leaves us one option which is right and best fit.
- Invoke the system API deployed to the primary environment
- Add Timeout and Retry logic on it in process API
- If it fails even after all retries, then invoke the system API deployed to the DR environment.
NEW QUESTION # 129
A TemperatureSensors API instance is defined in API Manager in the PROD environment of the CAR_FACTORY business group. An AcmelemperatureSensors Mule application implements this API instance and is deployed from Runtime Manager to the PROD environment of the CAR_FACTORY business group. A policy that requires a valid client ID and client secret is applied in API Manager to the API instance.
Where can an API consumer obtain a valid client ID and client secret to call the AcmeTemperatureSensors Mule application?
Answer: A
Explanation:
When an API policy requiring a client ID and client secret is applied to an API instance in API Manager, API consumers must obtain these credentials through a registered client application. Here's how it works:
Anypoint Exchange and Client Applications:
To access secured APIs, API consumers need to create or register a client application in Anypoint Exchange. This process involves requesting access to the specific API, and once approved, the consumer can retrieve the client ID and client secret associated with the application.
Why Option D is Correct:
Option D accurately describes the process, as the client ID and client secret are generated and managed within Anypoint Exchange. API consumers can use these credentials to authenticate with the TemperatureSensors API.
of Incorrect Options:
Option A (secrets manager) is incorrect because client credentials for API access are not managed via secrets manager.
Option B (API Manager) is incorrect as API Manager manages policies but does not provide client-specific credentials.
Option C (Access Management) does not apply, as Access Management is primarily used for user roles and permissions, not API client credentials.
Reference
For further details on managing client applications in Anypoint Exchange, consult MuleSoft documentation on client application registration and API security policies.
NEW QUESTION # 130
Which APIs can be used with DataGraph to create a unified schema?
Answer: A
Explanation:
To create a unified schema in MuleSoft's DataGraph, APIs must be exposed in a way that allows DataGraph to pull and consolidate data from these APIs into a single schema accessible to consumers. DataGraph provides a federated approach, combining multiple APIs to form a single, unified API endpoint.
In this setup:
APIs 1, 2, 3, and 4 are suitable candidates for DataGraph because they are hosted within the Customer VPC on CloudHub and are accessible either through a Shared Load Balancer (LB) or a Dedicated Load Balancer (DLB). Both of these load balancers provide public access, which is a necessary condition for DataGraph as it must access the APIs to aggregate data.
APIs 5 and 6 are hosted on Customer Hosted Server 2, which is explicitly marked as "Not public". Since DataGraph requires API access through a publicly reachable endpoint to aggregate them into a unified schema, APIs 5 and 6 cannot be used with DataGraph in this configuration.
APIs 3 and 4 on Customer Hosted Server 1 appear accessible through a Shared LB, implying public accessibility that meets DataGraph's requirements.
By combining APIs 1, 2, 3, and 4 within DataGraph, you can create a unified schema that enables clients to query data seamlessly from all these APIs as if it were from a single source.
This setup allows for efficient data retrieval and can simplify API consumption by reducing the need to call multiple APIs individually, thus optimizing performance and developer experience.
Reference
For more detailed information on setting up and managing unified schemas in DataGraph, refer to the DataWeave documentation and MuleSoft DataGraph resources which provide in-depth guidelines on schema aggregation and API federation.
NEW QUESTION # 131
An API is protected with a Client ID Enforcement policy and uses the default configuration. Access is requested for the client application to the API, and an approved contract now exists between the client application and the API How can a consumer of this API avoid a 401 error "Unauthorized or invalid client application credentials"?
Answer: A
Explanation:
When using the Client ID Enforcement policy with default settings, MuleSoft expects the client_id and client_secret to be provided in the URI parameters of each request. This policy is typically used to control and monitor access by validating that each request has valid credentials. Here's how to avoid a 401 Unauthorized error:
URI Parameters Requirement:
The default configuration for the Client ID Enforcement policy requires the client_id and client_secret to be included in each request's URI parameters. This is a straightforward way to authenticate API requests without additional configurations.
Why Option C is Correct:
Providing client_id and client_secret in the URI parameters meets the policy's requirements for each request, ensuring authorized access and avoiding the 401 error.
of Incorrect Options:
Option A (sending a token in the header) would be applicable for token-based authentication (like OAuth 2.0), not Client ID Enforcement.
Option B (request body) and Option D (header) are not valid locations for client_id and client_secret under the default configuration of Client ID Enforcement, which expects them in the URI.
Reference
For more details, consult MuleSoft's documentation on Client ID Enforcement policies and expected request configurations
NEW QUESTION # 132
Which two statements are true about the technology architecture of an Anypoint Virtual Private Cloud (VPC)?
Choose 2 answers
Answer: B,D
Explanation:
An Anypoint Virtual Private Cloud (VPC) provides a secure and private networking environment for MuleSoft applications, using specific architectural elements:
CIDR Blocks:
Anypoint VPCs utilize CIDR blocks to define IP ranges, allowing organizations to control and segment the VPC's IP address space.
Port 6091 for HTTP Requests:
By default, HTTP requests can be made to workers on port 6091 from the public internet, providing an accessible entry point unless additional restrictions are applied.
of Correct Answers (B, E):
CIDR blocks enable IP range management for VPCs, and port 6091 is the default public entry port, which is part of Anypoint VPC's default settings.
of Incorrect Options:
Option A (Ports 8081 and 8082) is incorrect; these are not default public ports for Anypoint VPC.
Option C (responsible for load balancing) is incorrect as load balancing requires a separate Dedicated Load Balancer (DLB).
Option D (round-robin load balancing) applies to DLBs, not directly to VPCs.
Reference
For more on VPC setup and networking, refer to MuleSoft documentation on VPC configurations and default port settings.
NEW QUESTION # 133
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