The answer is to upload the library as a .whl file to Amazon S3 and reference it in the Glue job's --additional-python-modules parameter. This is the most efficient method because AWS Glue automatically distributes the specified .whl file across all worker nodes in the managed environment, eliminating the need for manual installation or custom container builds. On the AWS Certified Data Engineer Associate DEA-C01 exam, this question tests your understanding of Glue’s job parameters and its limitations—specifically that pip install at runtime is unsupported and that custom Docker images, while possible, add unnecessary complexity for simple library dependencies. A common trap is assuming you can run pip commands in a Glue script, but Glue’s environment is immutable during execution. Memory tip: think “S3 + .whl = Glue’s native package manager” to avoid overcomplicating the solution.
DEA-C01 Data Ingestion and Transformation Practice Question
This DEA-C01 practice question tests your understanding of data ingestion and transformation. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company uses AWS Glue to process data from multiple sources. The data is stored in an Amazon S3 data lake. The company needs to transform the data using a custom Python library that is not available in the default Glue environment. What is the MOST efficient way to make this library available to the Glue jobs?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Upload the library as a .whl file to Amazon S3 and reference it in the Glue job's --additional-python-modules parameter.
Option D is correct because AWS Glue supports Python shell jobs and allows installing additional Python modules via --additional-python-modules or by providing a .whl file in S3 and referencing it. Option A is wrong because Glue does not support installing packages via pip at runtime. Option B is wrong because creating a custom Docker image is for Glue for Ray or for ETL jobs with custom environment, but it's more complex than needed. Option C is wrong because installing the library on every node is not supported; Glue manages the environment.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Manually install the library on each node in the Glue cluster by editing the bootstrap script.
Why it's wrong here
Glue does not expose node-level control for custom installations.
✓
Upload the library as a .whl file to Amazon S3 and reference it in the Glue job's --additional-python-modules parameter.
Why this is correct
This is the recommended way to add custom libraries to Glue jobs.
Related concept
Read the scenario before looking for a memorised answer.
✗
Create a custom Docker image with the library and use it in AWS Glue for Ray.
Why it's wrong here
This is overly complex and Glue for Ray is for different workloads.
✗
Use a shell command in the Glue job script to run 'pip install <library>' before the job runs.
Why it's wrong here
Glue jobs do not allow arbitrary shell commands; they run in a managed environment.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Trap categories for this question
Command / output trap
Glue jobs do not allow arbitrary shell commands; they run in a managed environment.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
Identify which DEA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Upload the library as a .whl file to Amazon S3 and reference it in the Glue job's --additional-python-modules parameter. — Option D is correct because AWS Glue supports Python shell jobs and allows installing additional Python modules via --additional-python-modules or by providing a .whl file in S3 and referencing it. Option A is wrong because Glue does not support installing packages via pip at runtime. Option B is wrong because creating a custom Docker image is for Glue for Ray or for ETL jobs with custom environment, but it's more complex than needed. Option C is wrong because installing the library on every node is not supported; Glue manages the environment.
What should I do if I get this DEA-C01 question wrong?
Identify which DEA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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