Free Salesforce Salesforce-MuleSoft-Developer-I Practice Exam with Questions & Answers | Set: 4

Correct answer is as below. On complete phase only has access to batch job result statistics and payload is not available.

• Total Records Processed: 3
• Successful Records: 3
• Failed Records: 0

On Complete

During this phase, you can optionally configure the runtime to create a report or summary of the records it processed for the particular batch job instance. This phase exists to give system administrators and developers some insight into which records failed to address any issues that might exist with the input data.

Sample output is as below

Mule Ref Doc : https://docs.mulesoft.com/mule-runtime/4.3/batch-processing-concept#on-complete

Setting Breakpoints

To set breakpoints, right-click a building block, then select Toggle Breakpoint.

Studio applies a red dot to the building block’s icon on the canvas.

When you run your application in Debug mode, Studio stops the flow execution at the breakpoint you have set, allowing you to check the Mule Event content in the Mule Debugger View.

Mule Ref Doc : Setting Breakpoints | MuleSoft Documentation

This question validates you knowledge on Batch Processing. Before we analyze the question , lets revise a bit about batch filters.

Batch Filters

You can apply one or more filters as attributes to any number of batch steps.Imagine a batch job whose first batch step checks if a Salesforce contact exists for a record, and a second batch step that updates each existing Salesforce contact with new information. You can apply a filter to the second batch step to ensure it only processes records that didn’t fail during the first batch step.By having batch steps accept only some records for processing, you streamline the batch job so the Mule runtime engine can focus only on the relevant data for a particular batch step.

A batch step uses two attributes to filter records:

acceptExpression

acceptPolicy

Each batch step can accept one acceptExpression and one acceptPolicy attributes to filter records.

Use the acceptExpression attribute to process only records that evaluate to true; if the record evaluates to false, the batch step skips the record and sends it to the next one. In other words, the records with an accept expression that resolves to false are the ones that Mule filters out.

The example below filters out all records where the age is less than 21; the batch step does not process those records.

• ...

Mule Ref Doc : Refining Batch Steps Processing | MuleSoft Documentation

As we are clear with above concepts , now lets understand this solution step by step.

1) Batch Step (Less than 50)

Accept expression for this batch step is less than 50. Hence elements which will go in this batch step are amount value 40 and 2. Hence output of logger in first batch step is

{amount=140}

{amount=102}

2) Batch Step (Greater than 20)

Accept condition for this batch step is greater than 20. Note that input amount values for this batch step are 100 , 140 and 102 (last two values have been updated in batch step less than 50)

As all values satisfy this condition out put of second logger is

{step2amount=100}

{step2amount=140}

{step2amount=102}

Hence correct answer to this question is

• {amount=140}
• {amount=102}
• {step2amount=100}
• {step2amount=140}
• {step2amount=102}

2) Batch Step (Greater than 20)

Accept condition for this batch step is greater than 20. Note that input amount values for this batch step are 100 , 140 and 102 (last two values have been updated in batch step less than 50)

As all values satisfy this condition out put of second logger is

{step2amount=100}

{step2amount=140}

{step2amount=102}

Hence correct answer to this question is

{amount=140}

{amount=102}

{step2amount=100}

{step2amount=140}

{step2amount=102}

The current version of the RAML specification is 1.0

You can check RAML version in RAML definition by referring to first comment. See highlighted part in below image.

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The correct answer is To avoid duplicate processing of records in a database.

If a watermark column is provided, the values taken from that column are used to filter the contents of the next poll, so that only rows with a greater watermark value are returned. If an ID column is provided, this component automatically verifies that the same row is not picked twice by concurrent polls.

Mule doc reference : https://docs.mulesoft.com/db-connector/1.8/database-documentation#listener

URL parameters are always accessed using { } like => {customerID}

Correct answer is String is not blank.

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Here’s specifically what is happening here:

1) Payload is successfully set to “Start”

2) The Is Blank String validator creates an Error Object because the payload is string "Start". Execution stops

#[error.description] = “String is not blank”

3) Because no error handler is defined, the Mule default error handler handles the error. Remember, at its heart, the Mule Default Error handler is an error handling scope with just an on error propagate

4) “String is not blank” is the error message returned to the requestor in the body of the HTTP requestHTTP Status Code: 500

Reference Diagram:

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