The correct answer is that the model archive uploaded to S3 does not contain the 'classes.txt' file. This error occurs because SageMaker extracts the model artifact into the /opt/ml/model directory at deployment time, and if the archive is missing required files—such as classes.txt for a custom inference script—the endpoint fails to initialize. On the AWS Certified Machine Learning Engineer Associate MLA-C01 exam, this scenario tests your understanding of how SageMaker expects model artifacts to be structured, often appearing as a troubleshooting question where the error message directly points to a missing file. A common trap is assuming the error is a permissions or network issue, but the explicit file path in the error narrows it to an incomplete archive. Memory tip: think of the model archive as a packed suitcase—if you leave a critical item like classes.txt at home, your trip (endpoint) won’t start.
MLA-C01 Deployment and Orchestration of ML Workflows Practice Question
This MLA-C01 practice question tests your understanding of deployment and orchestration of ml workflows. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.
Exhibit
Refer to the exhibit.
[ERROR] 2022-12-01 10:15:30,123 – model_server – ModelLoadFailed: Unable to load model from /opt/ml/model. Parsed error: FileNotFoundError: [Errno 2] No such file or directory: '/opt/ml/model/classes.txt'
This log is from a SageMaker endpoint instance. The model was packaged as a tar.gz containing model.pth, classes.txt, and inference.py. The Docker container uses the SageMaker inference toolkit.
A SageMaker endpoint is failing with the exhibited error. What is the most likely cause of this error?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "most likely"
Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
Refer to the exhibit.
[ERROR] 2022-12-01 10:15:30,123 – model_server – ModelLoadFailed: Unable to load model from /opt/ml/model. Parsed error: FileNotFoundError: [Errno 2] No such file or directory: '/opt/ml/model/classes.txt'
This log is from a SageMaker endpoint instance. The model was packaged as a tar.gz containing model.pth, classes.txt, and inference.py. The Docker container uses the SageMaker inference toolkit.
A
The Docker container does not have the necessary IAM role to read the model artifacts.
Why wrong: IAM role issue would cause a different error (e.g., AccessDenied) not a file not found.
B
The model archive uploaded to S3 does not contain the 'classes.txt' file.
If the file is missing from the tar.gz, the endpoint cannot find it.
C
The inference script is referencing the wrong path for the model directory.
Why wrong: The error clearly says the file does not exist, not a misconfiguration.
D
The SageMaker endpoint does not have internet access to download the model from S3.
Why wrong: Endpoint downloads model before starting; the error is about missing file, not network.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The model archive uploaded to S3 does not contain the 'classes.txt' file.
The error indicates that 'classes.txt' is missing from /opt/ml/model. Most likely, the file was not included in the model archive or the archive was not extracted properly.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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 Docker container does not have the necessary IAM role to read the model artifacts.
Why it's wrong here
IAM role issue would cause a different error (e.g., AccessDenied) not a file not found.
✓
The model archive uploaded to S3 does not contain the 'classes.txt' file.
Why this is correct
If the file is missing from the tar.gz, the endpoint cannot find it.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Static NAT maps one inside address to one outside address.
✗
The inference script is referencing the wrong path for the model directory.
Why it's wrong here
The error clearly says the file does not exist, not a misconfiguration.
✗
The SageMaker endpoint does not have internet access to download the model from S3.
Why it's wrong here
Endpoint downloads model before starting; the error is about missing file, not network.
Common exam traps
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
Static NAT maps one inside address to one outside address.
PAT allows many inside hosts to share one public address using ports.
Inside local and inside global describe the private and translated addresses.
NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
→Identify inside and outside interfaces first.
→Check whether the scenario needs static NAT, dynamic NAT or PAT.
→Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related MLA-C01 NAT questions on configuration and troubleshooting.
Deployment and Orchestration of ML Workflows — This question tests Deployment and Orchestration of ML Workflows — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: The model archive uploaded to S3 does not contain the 'classes.txt' file. — The error indicates that 'classes.txt' is missing from /opt/ml/model. Most likely, the file was not included in the model archive or the archive was not extracted properly.
What should I do if I get this MLA-C01 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related MLA-C01 NAT questions on configuration and troubleshooting.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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