Explanation:

The File Write operation throws a FILE:CONNECTIVITY error.
The in the flow converts this to ORDER:NOT_CREATED.
Since the error is mapped and not propagated (no On Error Propagate), the flow continues, and the HTTP error response uses the mapped error (ORDER:NOT_CREATED) as the payload (Option D).

Why Other Options Are Wrong:

A (FILE:CONNECTIVITY): Incorrect—the error is mapped to ORDER:NOT_CREATED.
B (OTHER ERROR): Only triggers if an unmapped error occurs.
C (File written): The flow doesn’t reach this step due to the error.

Explanation:

The Scatter-Gather router executes referenced flows in parallel and waits for all routes to complete before proceeding. Here:

sleep 2 sec finishes in 2 seconds.

sleep 8 sec finishes in 8 seconds.
The total time is determined by the slowest route (8 seconds) before Set Payload runs (Option A).

Why Other Options Are Wrong:

B (0): Incorrect—Scatter-Gather doesn’t bypass routes.
C (2): Only accounts for the faster route.
D (10): Incorrectly sums times (parallel, not sequential).

Explanation:

Choice router finds the FIRST true condition, then distribute the event to the ONE matched route. The Choice router dynamically routes messages through a flow according to a set of DataWeave expressions that evaluate message content. Each expression is associated with a different routing option. The effect is to add conditional processing to a flow, similar to an if/then/else code block in most programming languages.

Only one of the routes in the Choice router executes, meaning that the first expression that evaluates to true triggers that route’s execution and the others are not checked. If none of the expressions are true, then the default route executes.

Explanation:

Correct answer is Save the payload from the Database SELECT operation to a variable Response from HTTP request will override the payload and hence response of database SELECT can be lost. Best way to preserve is to assign payload of first operation to variable using TransformMessage.

In MuleSoft, each operation in a flow replaces the current payload with its result. So:

If you perform a Database SELECT, the result becomes the new payload.
Then, if you perform an HTTP Request, that response overwrites the payload from the database.

Incorrect Options:

A. Cache scope – Used for caching, not for preserving payloads.
B. Message Enricher – Adds a value to the payload temporarily but isn't the simplest method for this case.
C. Nothing – Wrong. Mule replaces the payload at each step.

Explanation:

In MuleSoft, when you want to define a URI parameter in an HTTP Listener path, the correct syntax is to enclose the parameter in curly braces.

So for a customer ID:

/accounts/{customerID}

This allows Mule to match requests like:

/accounts/12345

And extract "12345" into a variable accessible via attributes.uriParams.customerID.

Incorrect Options:
A. (customerID) – Parentheses are not valid for URI template parameters.
C. #[customerID] – This is DataWeave expression syntax, not used in listener paths.
D. ${customerID} – This is property placeholder syntax, not URI parameter syntax.

Explanation:
Points to remember:
* XML must have a root element.
* XML only allows one root element
* To avoid multiple root issues, you must create a root element for the XML output, whenever we transform output
* When mapping array elements (JSON or JAVA) to XML, wrap the map operations in {(..)} -{ } are defining the object
( ) are transforming each element in the array as a key/value pair
* The transformation to XML would fail if the above mentioned considerations were not taken into account.
* Thus the transformation script declares a root element as trains and wraps the data in “{( )}“.
Whenever you see such type of question, always look out for root element followed by {( )} wrapping map.
I call this a "Wrap The Map" scenario. Hope it would help you remember !

Explanation:
Flow Reference Component
Flow Reference routes the Mule event to another flow or subflow, executes all processors in the referenced flow, and then routes the event back within the same Mule application. The following diagram shows the order of processing when one flow references another:



When the main flow is triggered, the Mule event travels through and executes the flow until the event reaches the Flow Reference. The event then travels through and executes the referenced flow from beginning to end, and then returns to the main flow.
This process enables you to treat the entire referenced flow like a single component in your current flow.

Explanation:

DataWeave 2.x uses the as Number cast (not the :number shorthand) when converting XML text to numeric types. You can traverse the XML with the payload.order.*item selector, then map each node into an object, computing the line-item price by multiplying the price and quantity as Numbers:

%dw 2.0
output application/json
---
payload.order.*item map ((value, index) -> {
index: index,
orderId: value.@orderId,
itemName: value.item,
lineItemPrice: (value.price as Number) * (value.quantity as Number)
})

That produces:

[
{ "index": 0, "orderId": "592", "itemName": "T-shirt Navy", "lineItemPrice": 20 },
{ "index": 1, "orderId": "972", "itemName": "Cargo Shorts", "lineItemPrice": 60 }
]

Explanation:

To dynamically insert the value of payload.year (which is "2020") into a logger message without hardcoding it, you need to use a DataWeave expression with proper syntax.

The payload set is:

{ "year": "2020" }

The goal is to produce this log message:

The year is 2020

Why others are incorrect:

A: #[The year is $(payload.year)] → Incorrect syntax, $(...) is not valid in DataWeave
B: The year is #[payload.year] → Mixing literal and expression without proper quoting
C: #[The year is " + payload.year] → Incorrect, mixing string and expression inside a string literal

Explanation:

Anypoint Exchange is the central repository where you publish and discover assets. Templates, Connectors, and Examples are all types of assets you can upload and manage in Exchange—Exchange itself is the platform, not an asset.

Explanation:
You can choose Attach Project Sources to include metadata that Studio requires to reimport the deployable file as an open Mule project into your workspace. You must keep the Attach Project Sources option selected to be able to import the packaged JAR file back into a Studio workspace. But requirement here is to create smallest deployable archive that will successfully deploy to Cloudhub. Hence we can ignore this option.
We need to select Include project module and dependencies As actual modules and external dependencies required to run the Mule application in a Mule runtime engine Hence correct answer is Select only below option 2) Include project module and dependencies

Explanation:

The Transform Message component uses output application/json and prepends the vendor name to the incoming sale data, producing a JSON object. The File Write then writes whatever the current payload is—so you end up with the enriched JSON content in the sales.csv file, despite its .csv extension.