Salesforce-MuleSoft-Developer Practice Test Questions

Explanation:

When you use APIkit (e.g. via the APIkit Router in Mule applications), it analyzes your RAML spec. It generates flows based on:

Resources (paths)

HTTP methods (GET, POST, PUT, DELETE, etc.) under each resource
So for each combination of resource + method, APIkit generates a dedicated flow.

Example RAML:

/resources:
get:
description: Get all resources
post:
description: Create a new resource

/resources/{id}:
get:
description: Get a resource by id
put:
description: Update a resource

APIkit would generate these flows:

api-main.raml|/resources|get
api-main.raml|/resources|post
api-main.raml|/resources/{id}|get
api-main.raml|/resources/{id}|put

So 4 flows would be generated.

Why Not The Others?

A. How does APIkit determine the number of flows… → This repeats the question, not an answer.
C. Creates a separate flow for each response status code → Incorrect. Responses only define schemas and codes, not separate flows.
D. Creates a separate flow for each resource that contains child resources →Incorrect. Child resources affect routing but not the number of flows unless they have distinct HTTP methods.

Explanation:

According to MuleSoft’s API-led connectivity approach and the API Lifecycle concepts, modern APIs are treated as products rather than just technical interfaces or code artifacts.

Why “products”?

They have consumers (internal or external developers, partners, apps, etc.)
They come with documentation and usage agreements
They are versioned, governed, secured
They are monitored for usage and performance
They deliver business value and can even be monetized

So, APIs aren’t merely code (D is wrong), or tied to a protocol like REST or SOAP (B and C are wrong).

Why Not The Others?

B. SOAP APIs → SOAP is one implementation style. Modern APIs can be REST, SOAP, GraphQL, Async APIs, etc.
C. REST APIs → Modern APIs are not defined solely by the REST architectural style.
D. Code → Modern APIs expose business capabilities via contracts; they are much more than just code.

Explanation:

Initial Setup (Before foreach Loop)
Set Payload = [1, 2, 3, 4] → Payload is an array [1, 2, 3, 4].
Set Variable quantity = 10 → vars.quantity is initialized to 10.

Inside the foreach Loop
The loop iterates 4 times (once for each array element: 1, 2, 3, 4).
Each iteration does the following:
Set Payload = "order" ++ payload
Converts the current element (e.g., 1) to a string (e.g., "order1").
But since Set Payload overwrites the payload each time, the final payload after the loop is just the last value ("order4").

Set Variable quantity = quantity + 1
Increments quantity by 1 in each iteration.
Final quantity = 10 + 4 = 14.

Final Payload & Quantity

Payload:

If the flow accumulates results (e.g., using map or appending to a variable), the payload would be ["order1", "order2", "order3", "order4"].
However, since the question’s flow overwrites the payload each time, the final payload is just "order4".
Quantity: 14 (as calculated above).

Why Option D is Correct (Assuming Accumulation)

The question likely expects concatenated strings ("order1order2order3order4") due to how MuleSoft handles payloads in loops.
If Set Payload appended instead of overwrote, the result would be a merged string.

Thus, [order1order2order3order4, 14] is the closest match.

Why Other Options Are Wrong?

A. [[order1, order2, order3, order4], 14] → Incorrect because the payload is not an array after the loop.
B. [[1,2,3,4], 10] → Ignores loop transformations.
C. [[1,2,3,4], 14] → Incorrect payload (should be modified by the loop).

Explanation:

Below are the Key performance indicators (KPIs), to measure and track the and success ofthe C4E and its activities, as well as the growth and health of the application network. Most of the metrics can be extracted automatically, through REST APIs, from Anypoint Platform.

• # of assets published to Anypoint Exchange
• # of interactions with Anypoint Exchange assets
• # of APIs managed by Anypoint Platform
• # of System APIs managed by Anypoint Platform
• # of API clients registered for access to APIs
• # of API implementations deployed to Anypoint Platform
• # of API invocations
• # or fraction of lines of code covered by automated tests in CI/CD pipeline
• Ratio of info/warning/critical alerts to number of API invocations

Explanation:

APIkit generates only one APIKit Router component per Mule application, regardless of the number of endpoints or URLs exposed. Here’s why:

APIKit Router’s Role:

The APIKit Router is the single entry point for all API requests.
It routes incoming requests to the correct flow based on the HTTP method and resource path defined in the RAML.

Generated Flows vs. Routers:

While APIkit creates multiple flows (one per HTTP method, e.g., GET /books, POST /books), it uses only one Router to direct traffic to these flows.
The Router inspects the request’s path/method and forwards it to the appropriate flow.

Multiple URLs (e.g., /internal, /external)

If the application listens on multiple base paths (e.g., http://localhost:8081/internal and http://localhost:8081/external), this is configured in the HTTP Listener, not the APIKit Router.
The same Router handles both paths, delegating to the correct flows based on the RAML spec.
Your RAML Example:
The RAML defines 4 endpoints (/books, /orders, /members with GET/POST/PATCH).
APIkit generates 4+ flows (1 per method) but only 1 Router to manage them all.

Why Not Other Options?

B (2) or C (3): Incorrect. The number of Routers is not tied to endpoints or URLs.
D (5): Matches the number of HTTP methods but misrepresents the Router’s role.

Explanation:

In Mule, a flow must be syntactically valid XML (or YAML in Mule 4.6+), and it must contain at least one element that is a valid component for it to compile and deploy.

A Mule flow technically does not require an event source to compile. You can have a flow with only processors and no inbound connector.

Example:

< flow name = " myFlow " >
< set - payload value = " Hello World " >
< / set - payload > < / flow >

This will compile and deploy, even though there’s no listener or event source. It simply can’t be invoked externally unless triggered internally by another flow or component.

Why Not Other Options?

A. Event Source → Not required for compilation. You can have a flow without an event source.
C. Error handlers → Optional. You can compile a flow without an error handler.
D. Source and processors both → Incorrect. Only processors are technically required for compilation.

Explanation:

Logs would look like:
INFO 2021-06-09 19:14:56,039 [[MuleRuntime].uber.06: [validationtest].batch-job- validationtestBatch_Job-work-manager @6de10f3e] [processor:
validationtestFlow/processors/1/route/0/route/0/aggregator/processors/0; event: bfb751e1- 9939-11eb-9f69-02053763653a]
org.mule.runtime.core.internal.processor.LoggerMessageProcessor: [
“\”A\””,
“\”C\””,
“\”D\””
]
—-
INFO 2021-06-09 19:15:02,486 [[MuleRuntime].uber.06: [validationtest].batch-job-validationtestBatch_Job-work-manager @6de10f3e] [processor:
validationtestFlow/processors/1/route/0/route/0/aggregator/processors/0; event: bfb751e1- 9939-11eb-9f69-02053763653a]
org.mule.runtime.core.internal.processor.LoggerMessageProcessor: [ “\”E\””
]
Batch aggregator value is 3. Hence in first time it will print [“A”, “C”, “D”] and in next iteration it will print [ “E” ]
--------------------------------------------------------------------------------------------------------------------
Correct answer is [ “E” ]

Explanation:

Correct answer is %dw 2.0 output application/json import modules::Utility
---
Utility::encryptString( "John Smith" )
DataWeave 2.0 functions are packaged in modules. Before you begin, note that DataWeave 2.0 is for Mule 4 apps. For Mule 3 apps, refer to DataWeave Operators in the Mule 3.9 documentation. For other Mule versions, you can use the version selector for the Mule Runtime table of contents. Functions in the Core (dw::Core) module are imported automatically into your DataWeave scripts. To use other modules, you need to import the module or functions you want to use by adding the import directive to the head of your DataWeave script, for example:

import dw::core::Strings
import camelize, capitalize from dw::core::Strings import * from dw::core::Strings
The way you import a module impacts the way you need to call its functions from a DataWeave script. If the directive does not list specific functions to import or use * from to import all functions from a function module, you need to specify the module when you call the function from your script. For example, this import directive does not identify any functions to import from the String module, so it calls the pluralize function like this: Strings::pluralize("box").

Transform
%dw 2.0
import dw::core::Strings output application/json
---
{ 'plural': Strings::pluralize("box") }

Explanation:

Let’s unpack why Option B fits the RAML’s constraints and why the others fall short.

Required vs. Optional Properties The RAML defines the Book type with these required fields:
• title (string)
• author (string)
• year (integer)
• ISBN (string) Optional fields include:
• ID (integer)
• publisher (string)

Any valid payload must include all required fields; optional ones can be omitted or included.

Matching Data Types JSON values must adhere to the specified data types:
• Strings must be quoted text.
• Integers must be numeric (no quotes).
• No extra or unknown fields are allowed.

Why Not Other Options?

• Option A – Missing the required “ISBN” property. RAML says title, author, year, and ISBN must be present.
• Option C – Puts the year in quotes ("2007"), turning it into a string. The RAML type declares year as an integer, so JSON must supply a raw number (no quotes).
• Option D – Introduces an extra field (“price”) that isn’t defined in the Book type. RAML by default forbids unspecified properties, so any unknown key makes the payload invalid.

Explanation:

The Logger’s message is set to:
message="Result #[\"INFO\" ++ payload]"

Mule evaluates the #[ … ] as a DataWeave expression. Inside that DW expression: • "INFO" is a String. • payload is an Object ({ student: { name:"Anay", age:6 } }). • The ++ operator in DW, when used in a string context, coerces non-string values to their JSON-style string representation, then concatenates.

That yields the String:

"INFO" ++ "{\"student\":{\"name\":\"Anay\",\"age\":6}}"
⇒ "INFO{\"student\":{\"name\":\"Anay\",\"age\":6}}"

Finally, the Logger prefixes that with "Result " (outside the #[ … ]), producing:

Result INFO{"student":{"name":"Anay","age":6}}