The correct answer involves deploying across multiple Availability Zones, using multiple instances, and enabling auto-scaling to replace unhealthy instances. This combination ensures that your SageMaker endpoint remains highly available and cost-effective by distributing traffic across redundant infrastructure and automatically scaling resources based on demand. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this question tests your understanding of resilience patterns for real-time inference endpoints, often appearing as a multi-select trap where a single instance in one Availability Zone or a single-AZ deployment is a common distractor. The key technical concept is that high availability requires both horizontal redundancy (multiple instances across zones) and automated recovery (auto-scaling), while cost-effectiveness comes from right-sizing instance counts rather than over-provisioning. A useful memory tip is to think of the three pillars: zones, instances, and scaling—without all three, your endpoint is one failure away from downtime.
MLS-C01 Practice Question: Machine Learning Implementation and Operations
This MLS-C01 practice question tests your understanding of machine learning implementation and operations. 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 company is deploying a machine learning model to a SageMaker endpoint and wants to ensure that the endpoint is resilient to instance failures. Which THREE steps should the company take to achieve high availability? (Choose THREE.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Deploy the endpoint in a VPC with subnets in at least two Availability Zones.
Option A is correct because deploying across multiple Availability Zones provides zone redundancy. Option C is correct because using multiple instances in the endpoint configuration ensures that if one instance fails, others handle traffic. Option D is correct because enabling auto-scaling can replace failed instances. Option B is wrong because a single instance in one AZ is not resilient. Option E is wrong because a single AZ does not protect against AZ failure.
Key principle: Count usable hosts — not total addresses — and remember that the network and broadcast addresses are not available to hosts in standard IPv4 subnets.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✓
Deploy the endpoint in a VPC with subnets in at least two Availability Zones.
Common exam trap: usable hosts are not the same as total addresses
Subnetting questions often tempt you into counting all addresses. In normal IPv4 subnets, the network and broadcast addresses are not usable host addresses.
Detailed technical explanation
How to think about this question
Subnetting questions test whether you can identify the network, broadcast address, usable range, mask and correct subnet. Slow down enough to calculate the block size correctly.
KKey Concepts to Remember
CIDR notation defines the prefix length.
Block size helps identify subnet boundaries.
Network and broadcast addresses are not usable hosts in normal IPv4 subnets.
The required host count determines the smallest suitable subnet.
TExam Day Tips
→Write the block size before choosing the subnet.
→Check whether the question asks for hosts, subnets or a specific address range.
→Do not confuse /24, /25, /26 and /27 host counts.
Key takeaway
Count usable hosts — not total addresses — and remember that the network and broadcast addresses are not available to hosts in standard IPv4 subnets.
Real-world example
How this comes up in practice
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Got this wrong? Here's your next step.
Review block sizes, usable host formulas (2^n − 2), and how to find network and broadcast addresses for /24 through /30. Then practise related MLS-C01 subnetting questions on CIDR, address ranges, and subnet selection.
Machine Learning Implementation and Operations — This question tests Machine Learning Implementation and Operations — CIDR notation defines the prefix length..
What is the correct answer to this question?
The correct answer is: Deploy the endpoint in a VPC with subnets in at least two Availability Zones. — Option A is correct because deploying across multiple Availability Zones provides zone redundancy. Option C is correct because using multiple instances in the endpoint configuration ensures that if one instance fails, others handle traffic. Option D is correct because enabling auto-scaling can replace failed instances. Option B is wrong because a single instance in one AZ is not resilient. Option E is wrong because a single AZ does not protect against AZ failure.
What should I do if I get this MLS-C01 question wrong?
Review block sizes, usable host formulas (2^n − 2), and how to find network and broadcast addresses for /24 through /30. Then practise related MLS-C01 subnetting questions on CIDR, address ranges, and subnet selection.
What is the key concept behind this question?
CIDR notation defines the prefix length.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company is deploying a SageMaker model for real-time inference. The endpoint must be highly available and cost-effective. Which TWO actions should the company take? (Select TWO.)
medium
A.Use managed spot training for inference
✓ B.Deploy the endpoint with at least two instances in different Availability Zones
C.Use GPU instances for all models even if not required
✓ D.Configure automatic scaling based on latency or request count
E.Use a single large instance to handle peak load
Why B: Options A and C are correct. A: Multiple instances across AZs ensures HA. C: Auto-scaling adjusts capacity based on demand, improving cost. B (single instance) lacks HA. D (spot instances) are cheaper but not for real-time HA. E (GPU) is not necessarily cost-effective.
Last reviewed: Jun 20, 2026
Question Discussion
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This MLS-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 MLS-C01 exam.
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