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| Section | Weight | Objectives |
|---|---|---|
| Use Flow Orchestration for Complex Workflows | 13% | - Manage flow execution and state - Integrate with Salesforce and external systems - Handle errors and exceptions - Design and build orchestration flows |
| Design, Build and Manage MuleSoft RPA Processes | 17% | - Monitor and optimize RPA performance - Develop and configure RPA workflows - Integrate RPA with other automation tools - Deploy and manage RPA bots |
| Employ Hyperautomation Best Practices | 20% | - Identify reuse opportunities and development approaches - Apply design patterns for integrations and automations - Select appropriate tools for hyperautomation solutions - Implement error handling and fault tolerance - Design test strategies and test data for end-to-end solutions |
| Automate Data Integrations with MuleSoft Composer | 12% | - Transform and manipulate data - Build flows and configure connectors - Implement flow control and logic - Test and deploy flows across environments |
| Build Hyperautomation Workflows with Salesforce Flow | 13% | - Test and debug flows - Connect flows to APIs and external data - Integrate with Einstein Bots and other services - Create and configure flows |
| Deliver and Manage APIs with Anypoint Platform | 15% | - Design and define APIs using RAML - Apply API-led connectivity principles - Secure, monitor and govern APIs - Deploy and manage Mule applications |
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NEW QUESTION # 16
Northern Trail Outfitters (NTO) has a new business channel that requires exposing their existing non- MuleSoft APIs to the public. They do not have an Anypoint Flex Gateway.
The NTO digital channel team wants to leverage Anypoint Platform as its API management tool.
What is the most time-efficient mechanism of securing their backend systems?
Answer: D
Explanation:
To expose existing non-MuleSoft APIs and secure them efficiently using Anypoint Platform, you can create API proxies. This approach provides several benefits:
API Proxy Creation:
Creating a proxy involves setting up an intermediary that forwards requests to the existing backend APIs. This allows you to leverage Anypoint Platform's API management capabilities without rewriting the existing APIs.
Proxies can be created quickly and configured to apply various security and governance policies.
Security and Management:
By creating a proxy, you can secure the APIs using Anypoint Platform's features such as rate limiting, authentication, and monitoring.
This method is time-efficient and leverages the robust security features of the Anypoint Platform without significant redevelopment effort.
References:
Anypoint Platform API Proxy Documentation
NEW QUESTION # 17
Northern Trail Outfitters needs to develop an application network that follows a MuleSoft-recommended, API- led connectivity approach and meets the following requirements:
provides data to mobile and web interfaces
aggregates and transforms data
retrieves data from databases
In which API tier should the data aggregation and transformation take place?
Answer: A
Explanation:
API-led Connectivity:MuleSoft's API-led connectivity approach divides APIs into three tiers: System, Process, and Experience. Each tier has a specific role in managing data and operations.
Reference:MuleSoft API-led Connectivity
Experience APIs:These APIs are designed to provide data to end-user interfaces, such as mobile and web applications. They typically format the data in a way that is easy for the user interface to consume.
Reference:Experience API Definition
Process APIs:Process APIs are responsible for orchestrating and executing business logic. They aggregate, transform, and process data from multiple sources before passing it to Experience APIs or other downstream systems.
Reference:Process API Role
System APIs:These APIs provide direct access to core systems and data sources. They handle CRUD (Create, Read, Update, Delete) operations and expose data from underlying systems.
Reference:System API Role
Data Aggregation and Transformation:Given the requirements to aggregate and transform data, the Process tier is the appropriate place. Process APIs handle complex business logic and data transformation, making them ideal for aggregating data from multiple sources and transforming it as needed.
Reference:Process APIs and Data Transformation
NEW QUESTION # 18
AnyAirlines wants to create a new marketing campaign that sends customers special offers every month based on their accrued loyalty points. There is an existing integration for customer data using MuleSoft's API-led three-tier strategy. Loyalty information exists in an external system that can be accessed via an HTTP endpoint provided by the system, but has no current integration. The external ID used will be email address.
The desired output is a CSV file containing customers that includes only the top 10 percent of loyalty point holders.
What is the most efficient way to meet this requirement?
Answer: C
Explanation:
Develop System API for Loyalty System:The first step is to develop a new System API that integrates with the Loyalty system. This API will handle communication with the external system via the provided HTTP endpoint.
Reference:MuleSoft API-led Connectivity
Utilize Existing Customer System API:Use the existing System API for customer data to retrieve necessary customer information. Combining these APIs ensures a modular approach and reuse of existing assets.
Reference:API-led Connectivity
Create Process API:Develop a Process API that combines data from both the Customer and Loyalty System APIs. This API will process the data, apply business logic to filter the top 10 percent of loyalty point holders, and format the results.
Reference:Designing Process APIs
Create Experience API:Develop an Experience API to serve the business consumers. This API will provide a user-friendly interface for initiating the integration and retrieving the results as a CSV file.
Reference:API Experience Layer
NEW QUESTION # 19
AnyAirlines releases a new REST API that exposes access to an RPA process. The RPA process can only handle a limited number of interactions per second before the API begins returning errors.
Which policy should AnyAirlines apply to prevent the API from being overloaded?
Answer: B
Explanation:
To prevent an API from being overloaded, the Spike Control policy is suitable. It helps manage sudden bursts of traffic by limiting the rate at which requests are processed. Here's how it works:
Preventing Overloads:
Spike Control smooths out bursts of incoming requests by enforcing a rate limit over a short period, protecting the backend systems from being overwhelmed by excessive traffic.
Configuration:
Apply the Spike Control policy to the API to define the maximum number of requests allowed within a specific timeframe.
This ensures that the API can handle a limited number of interactions per second, preventing errors due to overload.
Implementation:
In Anypoint Platform, configure the Spike Control policy to the desired thresholds, ensuring the RPA process can handle the load effectively without errors.
References:
Anypoint Platform Spike Control Documentation
NEW QUESTION # 20
An AnyAirlines employee regularly performs a manual process to extract customer and flight information from multiple legacy systems. AnyAirlines recently purchased MuleSoft automation and wants to automate this process using MuleSoft RPA.
During an evaluation of the candidate RPA process, which two key qualifiers should be considered? (Choose two.)
Answer: A,C
Explanation:
When evaluating a candidate process for RPA automation using MuleSoft RPA, consider the following key qualifiers:
Is the Process Rule-Based?:
RPA is well-suited for processes that follow clear, predefined rules. If the process involves repetitive tasks with defined rules and decision points, it is a good candidate for RPA automation.
Rule-based processes can be accurately automated by RPA bots without the need for complex decision- making.
Is the Process Data-Driven?:
Data-driven processes involve manipulating, transferring, and extracting data, making them ideal for RPA automation.
If the manual process involves working with structured data (e.g., extracting customer and flight information), it is a good fit for RPA, as bots can efficiently handle data operations.
Other considerations like risk and speed sensitivity are also important but focusing on rule-based and data- driven aspects ensures that the process is structured and systematic, making it easier to automate reliably.
References:
MuleSoft RPA Documentation
RPA Best Practices
NEW QUESTION # 21
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