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| Section | Weight | Objectives |
|---|---|---|
| Applying DevOps practices and operating integration solutions | 14% | - Design the logging configurations and options of Mule applications in all deployment options - Identify the features and characteristics for automating interactions with Anypoint Platform - Create the high-level design of continuous integration (CI) and continuous delivery (CD) pipelines for Mule applications using MuleSoft-provided Maven plugins - Identify the features and characteristics of Anypoint Monitoring in all deployment options |
| Deploying and managing APIs and integrations | 22% | - Design solutions for deploying Mule applications to CloudHub, Runtime Fabric, and on-premises - Select the correct Anypoint Platform deployment options for a given scenario - Define and apply policies for API security, traffic management, and quality of service - Manage API versions and contracts using API Manager and Anypoint Exchange |
| Configuring and using connectors | 14% | - Configure and use Anypoint Connector for Database - Configure and use Anypoint Connector for HTTP - Configure and use Anypoint Connector for JMS - Select and configure the correct connector for integration scenarios - Configure and use Anypoint Connector for File, FTP, and SFTP |
| Initiating integration solutions on the Anypoint Platform | 8% | - Select features of Anypoint Platform for designing and managing web and event-driven application programming interfaces (APIs) - Differentiate between functional and non-functional requirements for integration solutions - Select deployment options of the Anypoint Platform control plane and runtime plane |
| Designing architecture using integration paradigms | 10% | - Create high-level integration architectures using web APIs and HTTP - Design Mule applications and integration solutions using common messaging patterns and technologies - Create high-level integration architectures using event-driven APIs and message brokers - Create high-level integration architectures using API-led Connectivity |
| Designing and building Mule applications | 32% | - Design and use batch jobs for large data processing - Specify reliable messaging, error handling, and reconnection strategies - Select and use the correct components for API implementations - Design Mule application flows and subflows for modularity and reuse - Define and use caches and object stores |
1. What is a best practice when designing Mule applications for high performance with large data volumes?
A) Minimize data transformation and enrichment operations.
B) Always store data in memory for faster access.
C) Use a single-thread model for simplicity.
D) Increase the timeout settings for all operations.
2. An organization plans to leverage the MuleSoft open-source Serialization API to serialize or de-serialize objects into a byte array.
Which two considerations must be kept in mind while using the Serialization API? (Choose two.)
A) The API does not provide any flexibility to specify which classloader to use
B) The API does not support configuring a Custom Serializer
C) The API allows an InputStream as an input source
D) The API is not thread-safe
E) The API passes an OutputStream when serializing and streaming
3. An organization's release engineer wants to override secure properties in a CloudHub production environment. Properties can be updated in the Properties tab in Runtime Manager, but the password is not being hidden even after the application is restarted or redeployed.
What could be the reason?
A) The secureProperties key in the mule-artifact.json file does not list properties
B) Properties need to be prefixed with a secure keyword when entered in the Properties tab
C) In a secure-prod.yaml file properties are not marked secure
D) Properties do not exist in the prod properties file
4. How should logging configurations be designed in Mule applications to facilitate both performance and troubleshooting?
A) Logging levels and outputs should be environment-specific and configurable.
B) Logs should be disabled to increase application performance.
C) Detailed debug-level logging should be enabled in all environments.
D) All logs should be stored indefinitely for compliance purposes.
5. Which of these practices should be avoided to maintain secure edge access in Mule applications using Anypoint Security (Choose Two)
A) Using multifactor authentication for device and user verification.
B) Relaxing firewall rules to ensure uninterrupted service availability.
C) Implementing generic security policies that are not tailored to specific business needs.
D) Enforcing encryption at the edge before data enters the network.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C,E | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: B,C |
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