- A
SageMaker real-time endpoint with production variants
Real-time endpoints support multi-AZ, auto scaling, and traffic splitting for canary deployments.
- B
SageMaker Multi-Model Endpoint
Why wrong: Multi-model endpoints do not natively support canary testing.
- C
SageMaker Batch Transform
Why wrong: Batch Transform is for offline batch processing, not real-time inference.
- D
SageMaker Serverless Inference
Why wrong: Serverless does not support canary deployments or multi-AZ configurations.
Question 997 of 1,000
MLA-C01 Deployment and Orchestration of ML Workflows Practice Question
This MLA-C01 practice question tests your understanding of deployment and orchestration of ml workflows. 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 financial services company needs to deploy a machine learning model for real-time fraud detection. The model must be highly available across multiple Availability Zones and must support automatic scaling based on request volume. The company also needs to perform canary deployments to test new model versions with a small percentage of traffic before full rollout. Which SageMaker feature should they use?
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
✓
SageMaker real-time endpoint with production variants
SageMaker real-time endpoints with production variants enable canary deployments by routing a small percentage of traffic to a new model version while the majority goes to the current version. This feature also supports multi-AZ deployment for high availability and automatic scaling based on request volume via Application Auto Scaling, meeting all the stated requirements.
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.
- ✓
SageMaker real-time endpoint with production variants
Why this is correct
Real-time endpoints support multi-AZ, auto scaling, and traffic splitting for canary deployments.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
SageMaker Multi-Model Endpoint
Why it's wrong here
Multi-model endpoints do not natively support canary testing.
- ✗
SageMaker Batch Transform
Why it's wrong here
Batch Transform is for offline batch processing, not real-time inference.
- ✗
SageMaker Serverless Inference
Why it's wrong here
Serverless does not support canary deployments or multi-AZ configurations.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between real-time endpoints with production variants and Multi-Model Endpoints, where candidates mistakenly think Multi-Model Endpoints support canary deployments because they can host multiple models, but they lack traffic splitting and weighted routing capabilities.
Detailed technical explanation
How to think about this question
Under the hood, production variants use a weighted routing mechanism where each variant is assigned a 'InitialVariantWeight' (0-1) that determines the proportion of inference requests it receives; during a canary deployment, you gradually shift weight from the old variant to the new one. The endpoint is deployed behind an Elastic Load Balancer (ALB) or SageMaker's internal router, which distributes traffic across instances in multiple Availability Zones for fault tolerance. This pattern is commonly used in financial services to validate model performance on live traffic before full rollout, with CloudWatch alarms monitoring error rates and latency to trigger automatic rollback.
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
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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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Deployment and Orchestration of ML Workflows — study guide chapter
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FAQ
Questions learners often ask
What does this MLA-C01 question test?
Deployment and Orchestration of ML Workflows — This question tests Deployment and Orchestration of ML Workflows — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: SageMaker real-time endpoint with production variants — SageMaker real-time endpoints with production variants enable canary deployments by routing a small percentage of traffic to a new model version while the majority goes to the current version. This feature also supports multi-AZ deployment for high availability and automatic scaling based on request volume via Application Auto Scaling, meeting all the stated requirements.
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
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 →
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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