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MLA-C01 Building a real-time fraud detection system Practice Question
A company is building a real-time fraud detection system. They need to store features with historical context for model training and also support low-latency lookups for inference. Which THREE configurations should they set up in Amazon SageMaker Feature Store? (Select THREE.)
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
✓
Enable point-in-time queries to retrieve historical feature values
Point-in-time queries retrieve historical feature values at a specific time. Online store provides low-latency reads for inference. A feature group organizes features; creating one is necessary. Offline store is for batch but not required for low-latency inference.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Enable point-in-time queries to retrieve historical feature values
Why this is correct
Point-in-time queries are needed to reconstruct feature values at training time.
- ✓
Use the GetRecord API for real-time inference
Why this is correct
GetRecord retrieves the latest feature values for a record ID.
- ✓
Create a feature group with both online and offline store enabled
Why this is correct
Offline store for training data, online store for low-latency inference.
- ✗
Use the BatchGetRecord API for all feature retrieval
Why it's wrong here
BatchGetRecord is for batch inference, not low-latency real-time.
- ✗
Disable the offline store to reduce costs
Why it's wrong here
Offline store is needed for training data storage and batch ingestion.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.