- A
Manually scale instances based on historical patterns
Why wrong: Manual scaling is less efficient than auto-scaling or Inference Recommender.
- B
Enable detailed billing reports to track endpoint costs
Why wrong: Detailed billing reports are available but not an optimization action.
- C
Use SageMaker Savings Plans to get discounted rates in exchange for a commitment
Savings Plans provide lower costs for consistent usage.
- D
Use SageMaker Model Monitor to reduce endpoint costs
Why wrong: Model Monitor does not directly reduce costs; it monitors quality.
- E
Right-size endpoints using SageMaker Inference Recommender
Inference Recommender suggests optimal instance types and configurations.
Question 845 of 1,000
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. 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 company wants to implement cost monitoring and optimization for SageMaker endpoints. Which TWO actions should they take? (Select TWO)
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
✓
Use SageMaker Savings Plans to get discounted rates in exchange for a commitment
Option C is correct because SageMaker Savings Plans offer discounted compute rates (up to 64% off on-demand) in exchange for a 1- or 3-year commitment to a consistent amount of compute usage (measured in dollars per hour), directly reducing endpoint costs. This is a cost optimization mechanism, not a monitoring one, and aligns with the goal of reducing spend on SageMaker endpoints.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Manually scale instances based on historical patterns
Why it's wrong here
Manual scaling is less efficient than auto-scaling or Inference Recommender.
- ✗
Enable detailed billing reports to track endpoint costs
Why it's wrong here
Detailed billing reports are available but not an optimization action.
- ✓
Use SageMaker Savings Plans to get discounted rates in exchange for a commitment
Why this is correct
Savings Plans provide lower costs for consistent usage.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use SageMaker Model Monitor to reduce endpoint costs
Why it's wrong here
Model Monitor does not directly reduce costs; it monitors quality.
- ✓
Right-size endpoints using SageMaker Inference Recommender
Why this is correct
Inference Recommender suggests optimal instance types and configurations.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse cost monitoring (Option B) with cost optimization, or assume that Model Monitor (Option D) directly reduces costs when it only monitors quality, not spend.
Detailed technical explanation
How to think about this question
SageMaker Inference Recommender runs load tests against endpoint configurations (instance types, model server settings) and provides a recommendation for the most cost-effective instance type and number of instances that meet latency and throughput requirements. Under the hood, it uses a combination of benchmark profiling and Bayesian optimization to explore the configuration space, which can reduce costs by up to 50% compared to over-provisioned endpoints. In a real-world scenario, a team deploying a BERT model might use Inference Recommender to find that a ml.m5.large instance with a batch size of 8 meets their SLA at half the cost of a ml.c5.xlarge.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this MLA-C01 question test?
ML Solution Monitoring, Maintenance, and Security — This question tests ML Solution Monitoring, Maintenance, and Security — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use SageMaker Savings Plans to get discounted rates in exchange for a commitment — Option C is correct because SageMaker Savings Plans offer discounted compute rates (up to 64% off on-demand) in exchange for a 1- or 3-year commitment to a consistent amount of compute usage (measured in dollars per hour), directly reducing endpoint costs. This is a cost optimization mechanism, not a monitoring one, and aligns with the goal of reducing spend on SageMaker endpoints.
What should I do if I get this MLA-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jul 4, 2026
This MLA-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the MLA-C01 exam.
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