- A
Configure two production variants on the endpoint, each with an initial weight
This defines the variants and their traffic split.
- B
Use SageMaker Model Registry to approve both variants
Why wrong: Model Registry is for version management, not traffic splitting.
- C
Use the UpdateEndpointWeightsAndCapacity API to adjust traffic after analysis
This allows dynamic adjustment of traffic split.
- D
Deploy each variant to a separate endpoint and use Route53 weighted routing
Why wrong: Not the recommended SageMaker approach; SageMaker supports native traffic splitting.
- E
Enable shadow testing on the endpoint
Why wrong: Shadow testing duplicates traffic but does not serve real traffic from the shadow.
Question 814 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 company uses SageMaker to deploy a model and wants to perform A/B testing by splitting traffic between two model variants. 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
✓
Configure two production variants on the endpoint, each with an initial weight
Option A is correct because SageMaker endpoints support multiple production variants, each with an assigned weight that determines the proportion of traffic routed to that variant. By setting initial weights (e.g., 50/50 or 90/10), you can split traffic between two model variants for A/B testing without deploying separate 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.
- ✓
Configure two production variants on the endpoint, each with an initial weight
Why this is correct
This defines the variants and their traffic split.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use SageMaker Model Registry to approve both variants
Why it's wrong here
Model Registry is for version management, not traffic splitting.
- ✓
Use the UpdateEndpointWeightsAndCapacity API to adjust traffic after analysis
Why this is correct
This allows dynamic adjustment of traffic split.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Deploy each variant to a separate endpoint and use Route53 weighted routing
Why it's wrong here
Not the recommended SageMaker approach; SageMaker supports native traffic splitting.
- ✗
Enable shadow testing on the endpoint
Why it's wrong here
Shadow testing duplicates traffic but does not serve real traffic from the shadow.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse shadow testing (Option E) with A/B testing, but shadow testing does not split live traffic—it only mirrors requests for offline analysis, while A/B testing requires actual traffic distribution between variants.
Detailed technical explanation
How to think about this question
Under the hood, SageMaker uses a weighted round-robin algorithm to distribute inference requests across production variants based on their `InitialVariantWeight` values. The `UpdateEndpointWeightsAndCapacity` API allows you to dynamically adjust these weights after collecting metrics, enabling gradual traffic shifts (e.g., from 10% to 50%) without redeploying. In a real-world scenario, you might start with 5% traffic to a new variant to validate performance before ramping up to 100%.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
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.
- →
Deployment and Orchestration of ML Workflows — study guide chapter
Learn the concepts, then practise the questions
- →
Deployment and Orchestration of ML Workflows practice questions
Targeted practice on this topic area only
- →
All MLA-C01 questions
1,000 questions across all exam domains
- →
AWS Certified Machine Learning Engineer Associate MLA-C01 study guide
Full concept coverage aligned to exam objectives
- →
MLA-C01 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Related MLA-C01 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
ML Model Development practice questions
Practise MLA-C01 questions linked to ML Model Development.
Data Preparation for Machine Learning practice questions
Practise MLA-C01 questions linked to Data Preparation for Machine Learning.
Deployment and Orchestration of ML Workflows practice questions
Practise MLA-C01 questions linked to Deployment and Orchestration of ML Workflows.
ML Solution Monitoring, Maintenance, and Security practice questions
Practise MLA-C01 questions linked to ML Solution Monitoring, Maintenance, and Security.
ML Solution Monitoring, Maintenance and Security practice questions
Practise MLA-C01 questions linked to ML Solution Monitoring, Maintenance and Security.
MLA-C01 fundamentals practice questions
Practise MLA-C01 questions linked to MLA-C01 fundamentals.
MLA-C01 scenario practice questions
Practise MLA-C01 questions linked to MLA-C01 scenario.
MLA-C01 troubleshooting practice questions
Practise MLA-C01 questions linked to MLA-C01 troubleshooting.
Practice this exam
Start a free MLA-C01 practice session
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
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: Configure two production variants on the endpoint, each with an initial weight — Option A is correct because SageMaker endpoints support multiple production variants, each with an assigned weight that determines the proportion of traffic routed to that variant. By setting initial weights (e.g., 50/50 or 90/10), you can split traffic between two model variants for A/B testing without deploying separate 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
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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.