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NEW QUESTION # 47
According to MuleSoft's IT delivery and operating model, which approach can an organization adopt in order to reduce the frequency of IT project delivery failures?
- A. Adopt an enterprise data model
- B. Stop scope creep by centralizing requirements-gathering
- C. Decouple central IT projects from the innovation that happens within each line of business
- D. Prevent technology sprawl by reducing production of API assets
Answer: C
NEW QUESTION # 48
What API policy would LEAST likely be applied to a Process API?
- A. JSON threat protection
- B. Custom circuit breaker
- C. Client ID enforcement
- D. Rate limiting
Answer: A
Explanation:
Key to this question lies in the fact that Process API are not meant to be accessed directly by clients. Lets analyze options one by one. Client ID enforcement : This is applied at process API level generally to ensure that identity of API clients is always known and available for API-based analytics Rate Limiting : This policy is applied on Process Level API to secure API's against degradation of service that can happen in case load received is more than it can handle Custom circuit breaker : This is also quite useful feature on process level API's as it saves the API client the wasted time and effort of invoking a failing API. JSON threat protection : This policy is not required at Process API and rather implemented as Experience API's. This policy is used to safeguard application from malicious attacks by injecting malicious code in JSON object. As ideally Process API's are never called from external world , this policy is never used on Process API's Hence correct answer is JSON threat protection MuleSoft Documentation Reference : https://docs.mulesoft.com/api-manager/2.x/policy-mule3-json-threat
NEW QUESTION # 49
Which Exchange asset type represents a complete API specification in RAML or OAS format?
- A. SOAP APIs
- B. REST APIs
- C. Connectors
- D. API Spec Fragments
Answer: B
NEW QUESTION # 50
An organization is evaluating using the CloudHub shared Load Balancer (SLB) vs creating a CloudHub dedicated load balancer (DLB). They are evaluating how this choice affects the various types of certificates used by CloudHub deployed Mule applications, including MuleSoft-provided, customer-provided, or Mule application-provided certificates. What type of restrictions exist on the types of certificates for the service that can be exposed by the CloudHub Shared Load Balancer (SLB) to external web clients over the public internet?
- A. All certificates which can be used in shared load balancer need to get approved by raising support ticket
- B. Only MuleSoft provided certificates can be used for server side certificate
- C. Only self signed certificates can be used
- D. Underlying Mule applications need to implement own certificates
Answer: B
Explanation:
Correct answer is Only MuleSoft provided certificates can be used for server side certificate
* The CloudHub Shared Load Balancer terminates TLS connections and uses its own server-side certificate.
* You would need to use dedicated load balancer which can enable you to define SSL configurations to provide custom certificates and optionally enforce two-way SSL client authentication.
* To use a dedicated load balancer in your environment, you must first create an Anypoint VPC. Because you can associate multiple environments with the same Anypoint VPC, you can use the same dedicated load balancer for your different environments.
Additional Info on SLB Vs DLB:
Table Description automatically generated
NEW QUESTION # 51
A project team uses RAML specifications to document API functional requirements and deliver API definitions. As per the current legal requirement, all designed API definitions to be augmented with an additional non-functional requirement to protect the services from a high rate of requests according to define service level agreements.
Assuming that the project is following Mulesoft API governance and policies, how should the project team convey the necessary non-functional requirement to stakeholders?
- A. Add all non functional requirements as comments to RAML specification and publish to exchange
- B. Update API definitions with the fragment for the appropriate policy and publish to exchange
- C. Create various SLA's in API manager for the non functional requirement and publish to exchange
- D. Create proxies in API manager for the non functional requirement and publish to exchange
Answer: B
NEW QUESTION # 52
According to MuleSoft's API development best practices, which type of API development approach starts with writing and approving an API contract?
- A. Catalyst
- B. Agile
- C. Implement-first
- D. Design-first
Answer: D
NEW QUESTION # 53
An organization has several APIs that accept JSON data over HTTP POST. The APIs are all publicly available and are associated with several mobile applications and web applications. The organization does NOT want to use any authentication or compliance policies for these APIs, but at the same time, is worried that some bad actor could send payloads that could somehow compromise the applications or servers running the API implementations. What out-of-the-box Anypoint Platform policy can address exposure to this threat?
- A. Apply an IP blacklist policy to all APIs; the blacklist will Include all bad actors
- B. Apply a Header injection and removal policy that detects the malicious data before it is used
- C. Shut out bad actors by using HTTPS mutual authentication for all API invocations
- D. Apply a JSON threat protection policy to all APIs to detect potential threat vectors
Answer: D
Explanation:
We need to note few things about the scenario which will help us in reaching the correct solution.
Point 1 : The APIs are all publicly available and are associated with several mobile applications and web applications. This means Apply an IP blacklist policy is not viable option. as blacklisting IPs is limited to partial web traffic. It can't be useful for traffic from mobile application Point 2 : The organization does NOT want to use any authentication or compliance policies for these APIs.
This means we can not apply HTTPS mutual authentication scheme.
Header injection or removal will not help the purpose.
By its nature, JSON is vulnerable to JavaScript injection. When you parse the JSON object, the malicious code inflicts its damages. An inordinate increase in the size and depth of the JSON payload can indicate injection. Applying the JSON threat protection policy can limit the size of your JSON payload and thwart recursive additions to the JSON hierarchy.
Hence correct answer is Apply a JSON threat protection policy to all APIs to detect potential threat vectors
NEW QUESTION # 54
Which Anypoint Platform component helps integration developers discovers and share reusable APIs, connectors, and templates?
- A. Design Center
- B. API Manager
- C. Anypoint Exchange
- D. Anypoint Studio
Answer: C
Explanation:
Anypoint Exchange is the Anypoint Platform component that helps integration developers discover and share reusable APIs, connectors, and templates. It acts as a central repository where developers can publish and access various assets, facilitating reuse and collaboration within the organization. By using Anypoint Exchange, developers can reduce duplication of effort, speed up development processes, and ensure consistency across integrations.
Other components like API Manager, Anypoint Studio, and Design Center serve different purposes, such as managing APIs, developing Mule applications, and designing API specifications, but they are not specifically focused on discovering and sharing reusable assets.
References
* MuleSoft Documentation on Anypoint Exchange
* Best Practices for Asset Reuse on Anypoint Platform
NEW QUESTION # 55
What approach configures an API gateway to hide sensitive data exchanged between API consumers and API implementations, but can convert tokenized fields back to their original value for other API requests or responses, without having to recode the API implementations?
- A. Create a masking format and use it to apply a tokenization policy in an API gateway to mask sensitive values in message payloads with characters, and apply a corresponding detokenization policy to return the original values to other APIs
- B. Create a tokenization format and use it to apply a tokenization policy in an API gateway to replace sensitive fields in message payload with similarly formatted tokenized values, and apply a corresponding detokenization policy to return the original values to other APIs
- C. Use a field-level encryption policy in an API gateway to replace sensitive fields in message payload with encrypted values, and apply a corresponding field-level decryption policy to return the original values to other APIs
- D. Create both masking and tokenization formats and use both to apply a tokenization policy in an API gateway to mask sensitive values in message payloads withcharacters, and apply a corresponding detokenization policy to return the original values to other APIs
Answer: D
NEW QUESTION # 56
Cloud Hub is an example of which cloud computing service model?
- A. Platform as a Service (PaaS)
- B. Infrastructure as a Service (laaS)
- C. Software as a Service (SaaS)
- D. Monitoring as a Service (MaaS)
Answer: A
NEW QUESTION # 57
Refer to the exhibit.
What is the type data format shown in the exhibit?
- A. JSON
- B. XML
- C. YAML
- D. CSV
Answer: C
Explanation:
The data format shown in the exhibit is YAML (YAML Ain't Markup Language). YAML is a human- readable data serialization standard that is commonly used for configuration files and data exchange between languages with different data structures. In the exhibit, the indentation and the use of colons to define key- value pairs are characteristic of YAML.
JSON (JavaScript Object Notation) and XML (eXtensible Markup Language) have different syntax structures, and CSV (Comma-Separated Values) is a flat file format that uses commas to separate values. The format shown in the exhibit fits the structure and style of YAML.
References
* YAML Specification Documentation
* MuleSoft Documentation on Supported Data Formats
NEW QUESTION # 58
A company is implementing a new Mule application that supports a set of critical functions driven by a rest API enabled, claims payment rules engine hosted on oracle ERP. As designed the mule application requires many data transformation operations as it performs its batch processing logic.
The company wants to leverage and reuse as many of its existing java-based capabilities (classes, objects, data model etc.) as possible What approach should be considered when implementing required data mappings and transformations between Mule application and Oracle ERP in the new Mule application?
- A. From the mule application, transform via theXSLT model
- B. Invoke any of the appropriate Java methods directly, create metadata RAML classes and then perform required transformations via Dataweave
- C. Transform by calling any suitable Java class from Dataweave
- D. Create a new metadata RAML classes in Mule from the appropriate Java objects and then perform transformations via Dataweave
Answer: C
Explanation:
Leveraging existing Java-based capabilities for data transformations in a Mule application can enhance efficiency and reuse. Here's how to integrate Java classes for transformations:
* Create Java Classes:
* Ensure the Java classes that contain the transformation logic are available in the Mule application project.
* Compile the Java classes if they are not already compiled and place the .class files or JAR file in the Mule project's classpath.
* Configure DataWeave to Call Java Methods:
* Use DataWeave's capability to invoke Java methods within the transformation scripts.
* Import the Java classes and methods in the DataWeave script.
%dw 2.0 import * from my.package.ClassName output application/json --- { transformedData: ClassName::
methodName(payload) }
* Perform Transformations:
* Write DataWeave scripts that call the appropriate Java methods to perform the necessary transformations.
* Ensure the input and output types match between DataWeave and the Java methods.
* Test Transformations:
* Thoroughly test the transformations to ensure the Java methods are correctly invoked and the expected transformations are applied.
This approach allows for seamless integration of existing Java logic into Mule applications, leveraging DataWeave's power for comprehensive data transformations.
References
* MuleSoft Documentation: DataWeave and Java Integration
* MuleSoft Documentation: Using Java with Mule
NEW QUESTION # 59
During a planning session with the executive leadership, the development team director presents plans for a new API to expose the data in the company's order database. An earlier effort to build an API on top of this data failed, so the director is recommending a design-first approach.
Which characteristics of a design-first approach will help make this API successful?
- A. Developing a specification so consumers can test before the implementation is built
- B. Publishing the fully implemented API to Exchange so all developers can reuse the API
- C. Building MUnit tests so administrators can confirm code coverage percentage during deployment
- D. Adding global policies to the API so all developers automatically secure the implementation before coding anything
Answer: A
NEW QUESTION # 60
A mule application is required to periodically process large data set from a back-end database to Salesforce CRM using batch job scope configured properly process the higher rate of records.
The application is deployed to two cloudhub workers with no persistence queues enabled.
What is the consequence if the worker crashes during records processing?
- A. Remaining records will be processed by a new replacement worker
- B. All the records will be processed from scratch by the second worker leading to duplicate processing
- C. Remaining records be processed by second worker
- D. Remaining records will be left and processed
Answer: B
Explanation:
When a Mule application uses batch job scope to process large datasets and is deployed on multiple CloudHub workers without persistence queues enabled, the following scenario occurs if a worker crashes:
* Batch Job Scope: Batch jobs are designed to handle large datasets by splitting the work into records and processing them in parallel.
* Non-Persistent Queues: When persistence is not enabled, the state of the batch processing is not stored persistently. This means that if a worker crashes, the state of the in-progress batch job is lost.
* Worker Crash Consequence:
* When a worker crashes, the records that were being processed by that worker are not tracked persistently.
* As a result, when another worker (or the same worker after a restart) picks up the job, it does not have the previous state information.
* This leads to the batch job starting from the beginning and reprocessing all records from scratch, causing duplicate processing of records that were already processed before the crash.
This behavior can cause issues such as duplicate data in Salesforce CRM and inefficiencies in processing.
References
* MuleSoft Batch Processing
* MuleSoft CloudHub Workers
NEW QUESTION # 61
A stock trading company handles millions of trades a day and requires excellent performance and reliability within its stock trading system. The company operates a number of event-driven APIs Implemented as Mule applications that are hosted on various customer-hosted Mule clusters and needs to enable message exchanges between the APIs within their internal network using shared message queues.
What is an effective way to meet the cross-cluster messaging requirements of its event-driven APIs?
- A. Non-transactional JMS operations with a reliability pattern and manual acknowledgements
- B. Persistent VM queues with automatic acknowledgements
- C. JMS transactions with automatic acknowledgements
- D. extended Architecture (XA) transactions and XA connected components with manual acknowledgements
Answer: A
NEW QUESTION # 62
Which Anypoint Platform component should a MuleSoft developer use to create an API specification prior to building the API implementation?
- A. API Manager
- B. MUnit
- C. API Designer
- D. Runtime Manager
Answer: C
NEW QUESTION # 63
An organization's IT team follows an API-led connectivity approach and must use Anypoint Platform to implement a System AP\ that securely accesses customer data. The organization uses Salesforce as the system of record for all customer data, and its most important objective is to reduce the overall development time to release the System API.
The team's integration architect has identified four different approaches to access the customer data from within the implementation of the System API by using different Anypoint Connectors that all meet the technical requirements of the project.
- A. Use the Anypoint Connector for Salesforce to connect to the Salesforce APIs to directly access the customer data
- B. Use the Anypoint Connector for HTTP to connect to the Salesforce APIs to directly access the customer data
- C. Use the Anypoint Connector tor FTP to download a file containing a recent near-real time extract of the customer data
- D. Use the Anypoint Connector for Database to connect to a MySQL database to access a copy of the customer data
Answer: A
Explanation:
To reduce the overall development time to release the System API, the most efficient approach is to use the Anypoint Connector for Salesforce. This connector is specifically designed to interact with Salesforce APIs, providing a seamless and optimized way to access customer data directly from Salesforce. Using this connector simplifies development, reduces complexity, and leverages built-in capabilities for authentication and data retrieval, ensuring a faster and more secure implementation.
References:
* Anypoint Connector for Salesforce
* Connecting to Salesforce with Anypoint Platform
NEW QUESTION # 64
As a part of project requirement, Java Invoke static connector in a mule 4 application needs to invoke a static method in a dependency jar file. What are two ways to add the dependency to be visible by the connectors class loader?
(Choose two answers)
- A. Update mule-artefact.json to export the Java package
- B. In the Java Invoke static connector configuration, configure a path and name of the dependency jar file
- C. Add the dependency jar file to the java classpath by setting the JVM parameters
- D. Configure the dependency as a shared library in the project POM
- E. Use Maven command to include the dependency jar file when packaging the application
Answer: D,E
Explanation:
To ensure that the Java Invoke static connector in a Mule 4 application can access a static method in a dependency jar file, you need to make the dependency visible to the connector's class loader. Here are the two effective methods to achieve this:
* Using Maven Command:
* Include Dependency via Maven: Add the dependency jar file using Maven when packaging the Mule application. This ensures that the jar file is included in the application's build and is available at runtime.
* Add the dependency to your pom.xml file:
<dependency> <groupId>com.example</groupId> <artifactId>example-library</artifactId> <version>1.0.0<
/version> </dependency>
* Use the Maven package command to build the application and include the dependency:
mvn clean package
* Configuring Dependency as a Shared Library:
* Shared Library Configuration: Configure the dependency as a shared library in the project POM.
This makes the jar available to all components within the Mule application.
* Define the shared library in pom.xml:
xml
<dependency> <groupId>com.example</groupId> <artifactId>example-library</artifactId> <version>1.0.0<
/version> <scope>provided</scope> </dependency>
* Steps for Java Invoke Configuration:
* Ensure the static method in the dependency jar file is accessible via the Java Invoke connector by correctly configuring the connector with the class and method details.
* Benefits:
* Maven Integration: Using Maven ensures that the dependency management is streamlined and integrated with the build lifecycle of the Mule application.
* Shared Library: Configuring as a shared library ensures that the dependency is managed centrally and is easily accessible by various parts of the Mule application.
References:
* MuleSoft Documentation on Java Module
* Maven Documentation on Dependency Management
NEW QUESTION # 65
An organization has decided on a cloud migration strategy to minimize the organization's own IT resources.
Currently the organization has all of its new applications running on its own premises and uses an on- premises load balancer that exposes all APIs under the base URL (https://api.rutujar.com).
As part of migration strategy, the organization is planning to migrate all of its new applications and load balancer CloudHub.
What is the most straightforward and cost-effective approach to Mule application deployment and load balancing that preserves the public URL's?
- A. Deploy the Mule application to Cloudhub
Update a CNAME record for base URL ( https://api.rutujar.com) in the organization's DNS server to point to the A record of the CloudHub shared load balancer Apply mapping rules in SLB to map URLto their corresponding Mule applications - B. For each migrated Mule application, deploy an API proxy application to Cloudhub with all traffic to the mule applications routed through a Cloud Hub Dedicated load balancer (DLB) Update a CNAME record for base URL ( https://api.rutujar.com) in the organization's DNS server to point to the A record of the CloudHub dedicated load balancer Apply mapping rules in DLB to map each API proxy application who is responding new application
- C. Deploy the Mule application to Cloudhub
Update a CNAME record for base URL ( https://api.rutujar.com) in the organization's DNS server to point to the A record of the Cloudhub dedicated load balancer Apply mapping rules in DLB to map URLto their corresponding Mule applications - D. Deploy the Mule application to Cloudhub
Create a CNAME record for base URL( httpsr://api.rutujar.com) in the Cloudhub shared load balancer that points to the A record of theon-premises load balancer Apply mapping rules in SLB to map URLto their corresponding Mule applications
Answer: A
Explanation:
For an organization migrating its Mule applications and load balancer to CloudHub while preserving its public URL, the most straightforward and cost-effective approach involves leveraging CloudHub's shared load balancer (SLB). Here's how to do it:
* Deploying Mule Applications to CloudHub:
* First, deploy your Mule applications to CloudHub. This involves packaging your Mule applications and using the Anypoint Platform to deploy them to CloudHub.
* DNS Configuration:
* Update your DNS settings to ensure the base URL (https://api.rutujar.com) points to the CloudHub shared load balancer. Specifically, create or update a CNAME record for api.rutujar.
com to point to the CloudHub SLB's A record.
* Configuring Shared Load Balancer (SLB):
* In CloudHub, configure the SLB to handle incoming traffic and route it to the appropriate Mule applications.
* Apply mapping rules in the SLB to map the base URL and its paths to the corresponding Mule applications. This ensures that requests to https://api.rutujar.com are correctly routed to the specific Mule application endpoints.
* Steps to Apply Mapping Rules:
* In Anypoint Platform, navigate to the Runtime Manager and select the application deployed on CloudHub.
* Configure the SLB settings by defining the domain and URL mappings. For instance, set rules that map requests from https://api.rutujar.com/app1 to the corresponding Mule application app1.
* Benefits of Using SLB:
* Cost-Effective: The shared load balancer is a more economical option compared to a dedicated load balancer (DLB).
* Simplicity: Using SLB simplifies the deployment process, as it requires less configuration and management compared to setting up and maintaining a dedicated load balancer.
* Consistency: Preserves the public-facing URL structure, ensuring a seamless transition for users and clients accessing the APIs.
References:
* MuleSoft Documentation on CloudHub Deployment
* MuleSoft Documentation on Shared Load Balancer
By following these steps, the organization can effectively migrate its applications to CloudHub, ensuring minimal disruption and preserving the existing public URL structure.
NEW QUESTION # 66
Which role is primarily responsible for building API implementation as part of a typical MuleSoft integration project?
- A. Operations
- B. Integration Architect
- C. API Designer
- D. API Developer
Answer: D
NEW QUESTION # 67
What is required before an API implemented using the components of Anypoint Platform can be managed and governed (by applying API policies) on Anypoint Platform?
- A. The API must be published to Anypoint Exchange and a corresponding API instance ID must be obtained from API Manager to be used in the API implementation
- B. The API must be shared with the potential developers through an API portal so API consumers can interact with the API
- C. A RAML definition of the API must be created in API designer so it can then be published to Anypoint Exchange
- D. The API implementation source code must be committed to a source control management system (such as GitHub)
Answer: A
Explanation:
Context of the question is about managing and governing mule applications deployed on Anypoint platform.
Anypoint API Manager (API Manager) is a component of Anypoint Platform that enables you to manage, govern, and secure APIs. It leverages the runtime capabilities of API Gateway and Anypoint Service Mesh, both of which enforce policies, collect and track analytics data, manage proxies, provide encryption and authentication, and manage applications.
Mule Ref Doc : https://docs.mulesoft.com/api-manager/2.x/getting-started-proxy
NEW QUESTION # 68
A project uses Jenkins to implement CI/CD process. It was observed that each Mule package contains some of the Jenkins files and folders for configurations of CI/CD jobs.
As these files and folders are not part of the actual package, expectation is that these should not be part of deployed archive.
Which file can be used to exclude these files and folders from the deployed archive?
- A. muleignore
- B. _muleExclude
- C. mulelnclude
- D. _unTrackMule
Answer: A
Explanation:
* Requirement Analysis: Jenkins files and folders used for CI/CD configurations are not part of the actual Mule package and should be excluded from the deployed archive.
* Solution: MuleSoft provides the .muleignore file to specify files and directories that should be excluded from the packaged application.
* Implementation Steps:
* Create a .muleignore File: In the root directory of your Mule project, create a file named .
muleignore.
* Specify Exclusions: Add the paths of the Jenkins files and folders that you want to exclude from the deployment package into the .muleignore file.
# .muleignore example /path/to/jenkins/file1 /path/to/jenkins/folder/*
* Build and Deploy: When you build your Mule application, the Mule runtime will read the .
muleignore file and exclude the specified files and directories from the deployment archive.
* Advantages:
* Clean Deployment: Ensures that only necessary files are included in the deployment package, reducing the package size and preventing potential issues related to unwanted files.
* Ease of Maintenance: Easy to update and manage which files are excluded from the deployment package.
References
* MuleSoft Documentation on .muleignore
NEW QUESTION # 69
A retail company is implementing a MuleSoft API to get inventory details from two vendors by Invoking each vendor's online applications. Due to network issues, the invocations to the vendor applications are timing out intermittently, but the requests are successful after re-invoking each vendor application.
What is the most performant way of implementing the API to invoke each vendor application and to retry invocations that generate timeout errors?
- A. Use a Scatter-Gather scope to invoke each vendor application on a separate route.
Use an Until-Successful scope in each route to retry requests that raise timeout errors. - B. Use a Choice scope to Invoke each vendor application on a separate route.
Place the Choice scope inside an Until-Successful scope to retry requests that raise timeout errors. - C. Use a Round-Robin scope to invoke each vendor application on a separate route.
Use a Try-Catch scope in each route to retry requests that raise timeout errors. - D. Use a For-Each scope to invoke the two vendor applications in series, one after the other.
Place the For-Each scope inside an Until-Successful scope to retry requests that raise timeout errors.
Answer: A
Explanation:
To efficiently handle the invocation of vendor applications and retry requests that generate timeout errors, the most performant way is:
* Scatter-Gather Scope: Use a Scatter-Gather scope to invoke each vendor application in parallel. This approach allows the API to send requests to both vendors simultaneously, reducing overall processing time.
* Until-Successful Scope: Inside each route of the Scatter-Gather scope, use an Until-Successful scope to handle retries. The Until-Successful scope will retry the request in case of timeout errors until the request succeeds or the maximum retry limit is reached.
This combination ensures that the API can handle intermittent network issues efficiently while minimizing redundant transactions and maximizing performance.
References
* MuleSoft Documentation on Scatter-Gather Scope
* MuleSoft Documentation on Until-Successful Scope and Error Handling
NEW QUESTION # 70
According to MuleSoft, which major benefit does a Center for Enablement (C4E) provide for an enterprise and its lines of business?
- A. Centralizing project management across the lines of business
- B. Accelerating self-service by the lines of business
- C. Enabling Edge security between the lines of business and public devices
- D. Centrally managing return on investment (ROI) reporting from lines of business to leadership
Answer: A
NEW QUESTION # 71
Which type of communication is managed by a service mesh in a microservices architecture?
- A. Communication between microservices developers
- B. Communication between microservices runtime administrators
- C. Communication between microservices
- D. Communication between trading partner services
Answer: C
Explanation:
In a microservices architecture, a service mesh manages the communication between microservices. This involves handling service discovery, load balancing, failure recovery, metrics, and monitoring. Service meshes also provide more complex operational requirements like A/B testing, canary releases, rate limiting, access control, and end-to-end authentication. By abstracting these functionalities away from individual microservices, a service mesh allows developers to focus on business logic while ensuring reliable and secure inter-service communication.
References:
* Understanding Service Mesh
* Service Mesh for Microservices
NEW QUESTION # 72
......
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