This MLA-C01 practice question tests your understanding of ml model development. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 team uses SageMaker Experiments to track multiple training runs. They need to register the best-performing model in the model registry for approval. Which method ensures the model artifacts and metadata are captured correctly?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use the SageMaker Model Registry's create_model_package_from_estimator or equivalent API to register the model.
Option D is correct because SageMaker Model Registry provides a centralized catalog for model versions with associated metadata, metrics, and approval status. Option A is wrong because manual comparison is error-prone. Option B is wrong because Experiments track runs but do not natively register models. Option C is wrong because Lambda is not a direct mechanism for model registration.
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.
✗
Write an AWS Lambda function to copy the best model to a specific S3 prefix.
Why it's wrong here
Lambda can automate but does not provide model governance features.
✗
Manually download the best model artifact and upload to S3, then create a model in SageMaker.
Why it's wrong here
Manual process lacks provenance and automation.
✓
Use the SageMaker Model Registry's create_model_package_from_estimator or equivalent API to register the model.
Why this is correct
Model Registry captures artifacts, metrics, and supports approval workflow.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Static NAT maps one inside address to one outside address.
✗
Use Experiment analytics to view results and then create a model package using the Run's artifact URI.
Why it's wrong here
While possible, it is not the integrated workflow; Model Registry is designed for this.
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.
ML Model Development — This question tests ML Model Development — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Use the SageMaker Model Registry's create_model_package_from_estimator or equivalent API to register the model. — Option D is correct because SageMaker Model Registry provides a centralized catalog for model versions with associated metadata, metrics, and approval status. Option A is wrong because manual comparison is error-prone. Option B is wrong because Experiments track runs but do not natively register models. Option C is wrong because Lambda is not a direct mechanism for model registration.
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: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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