grammar fixes

Author: seshubaws

docs/utilities/data_masking.md

@@ -28,7 +28,7 @@ stateDiagram-v2
  }
 
  Handler --> Processor: Collect results
- Processor --> LambdaResponse: Obfuscated data
+ Processor --> LambdaResponse: Masked/encrypted data
 ```
 
 ## Key features
@@ -67,7 +67,7 @@ If using your own encryption provider, make sure to have the necessary resources
 When using the data masking utility with dictionaries or JSON strings, you can provide a list of keys to obfuscate the corresponding values. If no fields are provided, the entire data object will be masked or encrypted. You can select values of nested keys by using dot notation.
 
 ???+ note
- If you're using our example [AWS Serverless Application Model (SAM) template](#using-a-custom-encryption-provider), you will notice we have configured the Lambda function to use a memory size of 1024 MB. We compared the performances of Lambda functions of several different memory sizes and concluding 1024 MB was the most optimal size for this feature. For more information, you can see the full reports of our [load tests](https://github.com/aws-powertools/powertools-lambda-python/pull/2197#issuecomment-1730571597) and [traces](https://github.com/aws-powertools/powertools-lambda-python/pull/2197#issuecomment-1732060923).
+ If you're using our example [AWS Serverless Application Model (SAM) template](#using-a-custom-encryption-provider), you will notice we have configured the Lambda function to use a memory size of 1024 MB. We compared the performances of Lambda functions of several different memory sizes and concluded 1024 MB was the most optimal size for this feature. For more information, you can see the full reports of our [load tests](https://github.com/aws-powertools/powertools-lambda-python/pull/2197#issuecomment-1730571597) and [traces](https://github.com/aws-powertools/powertools-lambda-python/pull/2197#issuecomment-1732060923).
 
 === "AWS Serverless Application Model (SAM) example"
  ```yaml hl_lines="11-23 30 33-39 46"