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MLS-C01 Practice Question: Machine Learning Implementation and Operations
Drag and drop the steps to train a model using Amazon SageMaker built-in algorithm in the correct order.
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
✓
Prepare training data and upload to S3 → Choose built-in algorithm → Create training job specifying algorithm, input/output S3 paths, and compute resources → Execute training job
Training involves data preparation, job creation, algorithm selection, input/output paths, and execution.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Prepare training data and upload to S3 → Choose built-in algorithm → Create training job specifying algorithm, input/output S3 paths, and compute resources → Execute training job
Why this is correct
This is the correct order because data must be prepared and available in S3 before selecting an appropriate algorithm, then specifying all parameters in the training job, and finally starting the execution.
- ✗
Choose built-in algorithm → Prepare training data and upload to S3 → Create training job specifying algorithm, input/output S3 paths, and compute resources → Execute training job
Why it's wrong here
This is incorrect because selecting an algorithm before preparing the data is premature; data characteristics often influence algorithm choice, and the data must be in S3 before creating the job.
- ✗
Prepare training data and upload to S3 → Create training job specifying input/output S3 paths and compute resources → Choose built-in algorithm → Execute training job
Why it's wrong here
This is incorrect because the algorithm must be specified when creating the training job; you cannot create a job without an algorithm and add it later.
- ✗
Create training job specifying algorithm, input/output S3 paths, and compute resources → Prepare training data and upload to S3 → Execute training job → Choose built-in algorithm
Why it's wrong here
This is incorrect because the training job references data that doesn't exist yet, and the algorithm cannot be chosen after execution; all parameters must be set before the job starts.
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