- A
Manually install the library on each node in the Glue cluster by editing the bootstrap script.
Why wrong: Glue does not expose node-level control for custom installations.
- B
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 recommended way to add custom libraries to Glue jobs.
- C
Create a custom Docker image with the library and use it in AWS Glue for Ray.
Why wrong: This is overly complex and Glue for Ray is for different workloads.
- D
Use a shell command in the Glue job script to run 'pip install <library>' before the job runs.
Why wrong: Glue jobs do not allow arbitrary shell commands; they run in a managed environment.
Question 1,402 of 1,786
DEA-C01 Data Ingestion and Transformation Practice Question
This DEA-C01 practice question tests your understanding of data ingestion and transformation. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 choices
Why each option matters
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 B is correct because AWS Glue supports adding custom Python libraries by uploading a .whl file to Amazon S3 and referencing it via the `--additional-python-modules` job parameter. This method is the most efficient as it requires no manual node configuration, no custom Docker images, and no runtime pip installs, ensuring the library is automatically distributed to all worker nodes before the job executes.
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
The trap here is that candidates may think running 'pip install' directly in the script (Option D) is acceptable, but AWS explicitly recommends using the `--additional-python-modules` parameter for efficiency and reliability, as runtime pip installs can fail due to network timeouts or missing build dependencies.
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
Under the hood, when you specify `--additional-python-modules` with an S3 path to a .whl file, Glue automatically downloads and installs the library on every worker node during job initialization, using pip in a controlled environment. This parameter supports multiple .whl files separated by commas, and the libraries are installed into the Python environment before the job script runs, ensuring consistent availability. A real-world scenario is when a company needs to use a proprietary encryption library or a custom data validation package that is not available in the default Glue Python environment; this approach avoids the overhead of building a custom Glue ETL container or using a shell command that could introduce security or dependency conflicts.
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.
TExam Day Tips
- 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.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this DEA-C01 question test?
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 B is correct because AWS Glue supports adding custom Python libraries by uploading a .whl file to Amazon S3 and referencing it via the `--additional-python-modules` job parameter. This method is the most efficient as it requires no manual node configuration, no custom Docker images, and no runtime pip installs, ensuring the library is automatically distributed to all worker nodes before the job executes.
What should I do if I get this DEA-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
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