DEA-C01 Question 110
Select 3You are tasked with designing a data pipeline for processing clickstream data from a website. The data is ingested into an S3 bucket and processed using AWS Glue. To identify and filter out invalid records, you need to write a transformation script in AWS Glue. Which of the following programming concepts would be the most appropriate to implement this transformation effectively?
- A
Apply a lambda function to filter records based on a predefined condition.
- B
Use a for loop to iterate through each record and manually apply the transformation logic.
- C
Leverage the map() function to apply a transformation across the dataset in parallel.
- D
Implement exception handling to manage errors during the transformation process.
- E
Write a SQL query to process the records directly in the S3 bucket.
Show answer and explanation
Correct answers: A, C, D
Explanation
AWS Glue supports Python or Scala scripts for transformations, and utilizing efficient programming concepts such as lambda functions, map(), and exception handling is essential for processing data at scale. These concepts align with Glue's distributed, serverless architecture and help ensure optimized data transformations while managing errors effectively.
- A. Correct.
Lambda functions are an efficient way to define concise, inline filtering logic and can be used with Glue's transformation methods.
- B. Incorrect.
Using a for loop for record-by-record processing is inefficient for large datasets and not optimized for distributed processing in AWS Glue.
- C. Correct.
The map() function is a key programming concept for applying transformations across a dataset in parallel, aligning with the distributed nature of AWS Glue.
- D. Correct.
Exception handling is crucial to ensure that transformation scripts can gracefully handle errors and avoid pipeline failures.
- E. Incorrect.
SQL queries cannot be directly executed on S3 data unless you use a service like Athena, which is not relevant to this specific Glue transformation scenario.