The answer is to specify a larger EBS volume size in the training job’s resource configuration. This error occurs because the default EBS volume, typically 20–30 GB for GPU instances, fills up during long training runs due to dataset staging, intermediate checkpoints, and model artifacts, causing the instance to terminate. On the AWS Certified Machine Learning Engineer Associate MLA-C01 exam, this question tests your understanding of SageMaker’s storage architecture and the distinction between compute scaling and storage provisioning—a common trap is confusing instance type upgrades (which don’t add disk space) with volume size adjustments. Remember that GPU instances prioritize throughput, not capacity, so always check the VolumeSizeInGB parameter in the ResourceConfig. Memory tip: “GPU for speed, EBS for space”—if your job runs 8+ hours, double the default volume to avoid underprovisioning.
MLA-C01 Practice Question: ML Solution Monitoring, Maintenance and Security
This MLA-C01 practice question tests your understanding of ml solution monitoring, maintenance and security. 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.
A startup is using SageMaker to train a deep learning model. They use GPU instances for training. The training job takes about 8 hours. The team notices that sometimes the training job fails with an error message indicating that the instance was terminated due to Amazon EBS volume underprovisioned. The team is using the default EBS volume size for the training instance. They want to avoid this error without over-provisioning. What should they do?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Specify a larger EBS volume size in the training job's resource configuration.
Option B is correct because increasing the EBS volume size to accommodate the dataset and intermediate checkpoint files prevents the volume full error. Option A (use compute-optimized instances) doesn't fix storage. Option C (Amazon EFS) is a file system but may add latency and is not directly attached to training instances; requires mount. Option D (FSx for Lustre) is high-performance but complex and overkill; also requires separate setup.
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.
✗
Mount an Amazon EFS file system to the training instance and store all data there.
Why it's wrong here
EFS adds network latency and may not be as fast as local EBS for read/write intensive training.
✗
Switch to compute-optimized (C5) instances to reduce storage usage.
Why it's wrong here
Instance type doesn't affect EBS volume size; C5 has similar storage options.
✓
Specify a larger EBS volume size in the training job's resource configuration.
Why this is correct
Increasing the volume size ensures sufficient space for data and checkpoints.
Related concept
Static NAT maps one inside address to one outside address.
✗
Configure the training job to use Amazon FSx for Lustre as a scratch file system.
Why it's wrong here
FSx for Lustre is for high-performance computing, but it's more complex and may not be necessary.
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.
Trap categories for this question
Similar concept trap
Instance type doesn't affect EBS volume size; C5 has similar storage options.
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.
ML Solution Monitoring, Maintenance and Security — This question tests ML Solution Monitoring, Maintenance and Security — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Specify a larger EBS volume size in the training job's resource configuration. — Option B is correct because increasing the EBS volume size to accommodate the dataset and intermediate checkpoint files prevents the volume full error. Option A (use compute-optimized instances) doesn't fix storage. Option C (Amazon EFS) is a file system but may add latency and is not directly attached to training instances; requires mount. Option D (FSx for Lustre) is high-performance but complex and overkill; also requires separate setup.
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.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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