DEA-C01 Question 108
Select 3You are designing a data pipeline using AWS Glue to transform raw sales data into a structured format stored in Amazon S3. The raw data contains nested JSON objects, and you need to flatten the data and transform specific fields using Python scripts. Which of the following programming concepts are essential for implementing this solution in AWS Glue?
- A
Using AWS Glue's DynamicFrame methods for transforming and flattening data
- B
Writing Python code to define and apply custom transformations within AWS Glue jobs
- C
Setting up an AWS Lambda function to trigger the AWS Glue job
- D
Applying SQL queries using AWS Glue's SQL-based transformation feature
- E
Implementing exception handling within Python scripts for error management
- F
Understanding AWS Glue's built-in machine learning models for data transformation
Show answer and explanation
Correct answers: A, B, E
Explanation
To implement a solution in AWS Glue that involves flattening nested JSON data and applying custom transformations, you need to utilize programming concepts such as DynamicFrame methods, Python scripting, and exception handling. These concepts are integral to processing and transforming data within AWS Glue. While triggering jobs with AWS Lambda or using SQL queries are valid AWS solutions, they are not core programming concepts required for Glue job implementation.
- A. Correct.
Correct: AWS Glue's DynamicFrame methods are essential for transforming and flattening nested JSON data, as DynamicFrames are designed for semi-structured data processing.
- B. Correct.
Correct: Writing custom Python code is a core programming concept in AWS Glue for defining specific transformations that cannot be achieved through built-in methods.
- C. Incorrect.
Incorrect: While AWS Lambda can trigger AWS Glue jobs, this is not a programming concept directly related to data processing in Glue itself.
- D. Incorrect.
Incorrect: AWS Glue does not natively support SQL-based transformations. SQL queries are typically executed in services like Amazon Athena or Redshift, not Glue.
- E. Correct.
Correct: Exception handling is a key programming concept required to manage errors within Python scripts during AWS Glue job execution.
- F. Incorrect.
Incorrect: AWS Glue does not provide built-in machine learning models for data transformation. Machine learning-based transformations would require additional services like Amazon SageMaker.