ExamTopics Logo
Mail Us[email protected]
Menu
Amazon Discussions
exam questions

Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 All Questions

View all questions & answers for the AWS Certified Machine Learning Engineer - Associate MLA-C01 exam
Go to Exam

Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 topic 1 question 105 discussion

Exam question from Amazon's AWS Certified Machine Learning Engineer - Associate MLA-C01
Question #: 105
Topic #: 1
[All AWS Certified Machine Learning Engineer - Associate MLA-C01 Questions]

A company receives daily .csv files about customer interactions with its ML model. The company stores the files in Amazon S3 and uses the files to retrain the model. An ML engineer needs to implement a solution to mask credit card numbers in the files before the model is retrained.

Which solution will meet this requirement with the LEAST development effort?

  • A. Create a discovery job in Amazon Macie. Configure the job to find and mask sensitive data.
  • B. Create Apache Spark code to run on an AWS Glue job. Use the Sensitive Data Detection functionality in AWS Glue to find and mask sensitive data.
  • C. Create Apache Spark code to run on an AWS Glue job. Program the code to perform a regex operation to find and mask sensitive data.
  • D. Create Apache Spark code to run on an Amazon EC2 instance. Program the code to perform an operation to find and mask sensitive data.
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️
by chris_spencer at March 11, 2025, 3:18 p.m.
Disclaimers:
  • - ExamTopics website is not related to, affiliated with, endorsed or authorized by Amazon.
  • - Trademarks, certification & product names are used for reference only and belong to Amazon.

Comments

Chosen Answer:
This is a voting comment (?). It is better to Upvote an existing comment if you don't have anything to add.
Switch to a voting comment New
Submit Cancel
eesa
1 month ago
Selected Answer: B
La empresa necesita una solución automatizada para enmascarar números de tarjetas de crédito en archivos CSV almacenados en Amazon S3, antes de que los datos sean utilizados para reentrenar un modelo de Machine Learning. La opción B es la mejor solución porque: ✅ AWS Glue tiene integración nativa con S3, lo que facilita el procesamiento de los archivos sin desarrollo adicional. ✅ Glue Studio proporciona detección de datos sensibles (Sensitive Data Detection), lo que reduce el esfuerzo de desarrollo comparado con programar regex manualmente. ✅ Es una solución completamente administrada, eliminando la necesidad de mantener infraestructura en EC2. ✅ Spark en AWS Glue permite manejar grandes volúmenes de datos, ideal para procesamiento de múltiples archivos diarios.
upvoted 1 times
...
michele_scar
1 month ago
Selected Answer: B
Macie can't take any actions, It can be only a discovery service.
upvoted 1 times
...
ygn4ei
1 month ago
Selected Answer: A
correct
upvoted 1 times
...
Community vote distribution
A (35%)
C (25%)
B (20%)
Other
Most Voted
A voting comment increases the vote count for the chosen answer by one.

Upvoting a comment with a selected answer will also increase the vote count towards that answer by one. So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.

SaveCancel
exam
Someone Bought Contributor Access for:
SY0-701
London, 1 minute ago