MLA-C01 Data Preparation for Machine Learning Practice Question
Network Topology
Refer to the exhibit. A Glue job runs successfully the first time but on subsequent runs with new data (added to the same input location), the job does not process the new data. What is the most likely cause?
⚠ Common exam trap
AWS often tests the misconception that job bookmarks are always beneficial for incremental processing, but candidates forget that bookmarks cause the job to skip already processed data by default, which can lead to missing new data if the bookmark is not reset or the job is not designed to handle new files in the same location.
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
✓
The job bookmark is enabled, causing the job to skip already processed data
When a Glue job bookmark is enabled, the job tracks previously processed data using a persistent state stored in a DynamoDB table. On subsequent runs, the bookmark mechanism skips files that have already been processed, so new data added to the same input location is ignored unless the bookmark is reset or the job is configured to process new partitions. This explains why the first run succeeds but later runs do not process new data.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The script location is incorrect
Why it's wrong here
If the script location were wrong, the job would fail on the first run.
- ✗
The MaxRetries is set to 0, so the job does not retry on failure
Why it's wrong here
MaxRetries does not affect processing of new data.
- ✓
The job bookmark is enabled, causing the job to skip already processed data
Why this is correct
Job bookmarks prevent reprocessing; new data in same path is ignored unless bookmarks are reset.
- ✗
The WorkerType is Standard, which does not support incremental processing
Why it's wrong here
WorkerType affects resource allocation, not incremental processing.
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