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A project requires sharing information between SPA components. What is the least complex approach to achieve that objective?
Utilizing model props to drill down and access or set the state on desired components is the least complex approach for sharing information between Single Page Application (SPA) components in AEM.
Here's why using model props is effective:
Simplicity: This approach leverages the existing component hierarchy and properties, making it straightforward to pass data between components.
Direct Access: Model props allow for direct access to the state and properties of parent or sibling components, enabling easy data sharing.
Minimal Setup: Unlike implementing a state library or customizing container components, using model props requires minimal additional setup, reducing complexity and potential overhead.
Steps to utilize model props for state management:
Define the State in the Parent Component: Ensure that the parent component maintains the state that needs to be shared.
Pass Props to Child Components: Pass the necessary state and any setter functions as props to the child components. For example, in a React-based SPA, you can do this using JSX syntax:
function ParentComponent() {
const [sharedState, setSharedState] = useState(initialState);
return (
<ChildComponentA sharedState={sharedState} setSharedState={setSharedState} />
<ChildComponentB sharedState={sharedState} setSharedState={setSharedState} />
);
}
Access and Modify State in Child Components: In the child components, access and modify the shared state using the props passed from the parent:
function ChildComponentA({ sharedState, setSharedState }) {
return (
{sharedState}
<button onClick={() => setSharedState(newState)}>Update State</button>
);
}
By using this approach, you ensure a simple and effective way of managing and sharing state across components in your SPA, adhering to best practices for component-based architecture.
React Documentation on Props
An AEM Developer receives requirements for Sling Models in a human-readable yaml format. A custom application needs to be built. The dependency is as shown:
To create Sling Models that can export data in a human-readable yaml format, the following steps are required:
Create Sling models to export as yaml. Sling models are Java classes that can be used to represent resources in AEM. Sling models can use annotations to define how they can be adapted from a resource and how they can export data in different formats. To export data in yaml format, the Sling model class needs to use the @Model annotation with the resourceType parameter set to the resource type of the resource that the model represents. The Sling model class also needs to implement the org.apache.sling.models.annotations.Exporter annotation with the name parameter set to ''jackson'' and the extensions parameter set to ''yaml''. The Sling model class also needs to use the @JsonProperty annotation on the fields or methods that need to be exported in yaml format.
Configure mime type in Apache Sling MIME Type Service. The Apache Sling MIME Type Service is an OSGi service that maps file extensions to MIME types and vice vers
a. To enable the yaml format for Sling models, the MIME Type Service needs to be configured with a new entry for the yaml extension and its corresponding MIME type, which is ''application/x-yaml''. This can be done by creating an OSGi configuration for the org.apache.sling.commons.mime.internal.MimeTypeServiceImpl service and adding the entry ''yaml=application/x-yaml'' to the mime.types property. Reference: https://sling.apache.org/documentation/bundles/models.html https://sling.apache.org/documentation/bundles/mime-type-support-commons-mime.html
An AEM developer is assigned a task to design a workflow. The workflow is supposed to collect data from the participant and then determine the reviewer/approver branch to proceed further.
Which workflow step should be used by the developer?
To design a workflow that collects data from the participant and then determines the reviewer/approver branch to proceed further, the developer should use the Dynamic Participant Step. This workflow step allows for dynamic determination of participants based on the data collected or any other logic implemented in the workflow.
Here's how to implement a Dynamic Participant Step in AEM:
Create the Workflow Model:
In AEM, navigate to Tools > Workflow > Models.
Create a new workflow model or edit an existing one.
Add Dynamic Participant Step:
Drag and drop the Dynamic Participant Step into your workflow model.
Configure the Dynamic Participant Step:
Click on the Dynamic Participant Step and configure it by specifying the participant chooser class. This class should implement the logic to determine the next participant.
@Component(service = ParticipantStepChooser.class, property = {
'service.description=Dynamic Participant Chooser'
})
public class CustomParticipantStepChooser implements ParticipantStepChooser {
@Override
public String getParticipant(WorkItem workItem, WorkflowSession workflowSession, MetaDataMap metaDataMap) {
// Custom logic to determine the participant based on workflow data
String reviewer = // logic to determine reviewer
return reviewer;
}
}
Implement Participant Chooser Logic:
The CustomParticipantStepChooser class should contain the logic to determine the next participant based on the workflow data. This can include reading workflow variables, making decisions based on conditions, or any other custom logic.
Deploy and Test:
Save the workflow model and test it by starting a new workflow instance. Ensure that the dynamic participant determination works as expected.
By using the Dynamic Participant Step, you can create flexible workflows that adapt to the data and context, ensuring that the appropriate participants are chosen dynamically.
Which OSGi configuration values can be used in an AEM as a Cloud Service Implementation?
In AEM as a Cloud Service, the OSGi configuration values that can be used include Inline, secret, and environment-specific. These configurations provide flexibility and security for managing environment-specific settings and sensitive information.
Inline Configurations: Inline configurations are directly embedded within the code and are typically used for straightforward configurations.
Secret Configurations: Secret configurations are used to securely store sensitive information, such as passwords and API keys. These configurations are managed separately to ensure security.
Environment-Specific Configurations: Environment-specific configurations allow you to tailor settings for different environments (e.g., development, staging, production) without changing the underlying codebase.
Example of using these configurations:
Inline Configuration:
{
'service.url': 'https://api.example.com'
}
Secret Configuration: Managed through Adobe IMS and not directly embedded in the code.
Environment-Specific Configuration:
{
'runmode': 'dev',
'service.timeout': '30'
}
An AEM application must process a high volume of content ingestion on the author server.
What is a key factor to optimize a design for overall performance gain for implementing workflows?
Using transient workflows is a key factor in optimizing the design for processing a high volume of content ingestion on the author server. Transient workflows do not persist their state to the repository, which significantly reduces the overhead on the JCR (Java Content Repository). This leads to improved performance and efficiency, especially under high-content ingestion scenarios.
Here's why transient workflows are beneficial:
Reduced Repository Writes: Since transient workflows do not persist intermediate states, the number of writes to the repository is minimized. This reduces the I/O load and speeds up the processing.
Improved Performance: By avoiding the persistence of states, transient workflows execute faster, leading to quicker content processing and less latency.
Resource Efficiency: Transient workflows consume fewer resources compared to their non-transient counterparts, making them more efficient in handling large volumes of content.
Steps to create a transient workflow:
Define Workflow Model: Create a new workflow model or edit an existing one in AEM Workflow console.
Set Workflow to Transient: In the workflow model editor, set the workflow model to be transient by marking the relevant option in the workflow properties.
Implement Workflow Logic: Add the necessary steps and logic to the workflow model, keeping in mind that intermediate states will not be saved.
Deploy and Test: Deploy the workflow and test it under high-content ingestion scenarios to ensure optimal performance.