This MLA-C01 practice question tests your understanding of ml model development. 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.
Which TWO data storage options are commonly used by Amazon SageMaker Feature Store for offline and online storage?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Amazon S3
Amazon SageMaker Feature Store uses Amazon S3 as the default offline storage layer because it provides durable, scalable, and cost-effective object storage for large volumes of historical feature data. Amazon DynamoDB is used as the default online storage layer because it offers low-latency, single-digit millisecond read/write performance required for real-time inference serving.
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.
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Amazon Redshift
Why it's wrong here
Redshift is a data warehouse, not a standard Feature Store storage layer.
✗
Amazon RDS
Why it's wrong here
RDS is relational database, not used as a primary store in Feature Store.
✗
Amazon ElastiCache
Why it's wrong here
ElastiCache is a caching layer, not a durable store for features.
✓
Amazon S3
Why this is correct
S3 is the default offline store for large historical feature data.
Related concept
Read the scenario before looking for a memorised answer.
✓
Amazon DynamoDB
Why this is correct
DynamoDB serves as the online store for low-latency feature retrieval.
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 often confuse Amazon ElastiCache (a caching layer) with the primary online storage service, or assume Amazon Redshift is used for offline storage due to its analytical capabilities, but SageMaker Feature Store specifically integrates DynamoDB for online and S3 for offline storage as first-class options.
Detailed technical explanation
How to think about this question
Under the hood, SageMaker Feature Store uses DynamoDB's on-demand capacity mode for online storage to handle unpredictable traffic spikes during inference, while S3 stores feature data in Parquet format partitioned by feature group and event time for efficient retrieval. A real-world scenario where this matters is when a model needs both historical training data (from S3) and real-time feature values (from DynamoDB) to serve predictions with consistent feature definitions across both stores.
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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
ML Model Development — This question tests ML Model Development — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Amazon S3 — Amazon SageMaker Feature Store uses Amazon S3 as the default offline storage layer because it provides durable, scalable, and cost-effective object storage for large volumes of historical feature data. Amazon DynamoDB is used as the default online storage layer because it offers low-latency, single-digit millisecond read/write performance required for real-time inference serving.
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.
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Question Discussion
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