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Question 1,118 of 1,755

Data Engineering →mediumMultiple ChoiceObjective-mapped

Export DynamoDB Table to S3 with Zero Impact on Production Workload

This MLS-C01 practice question tests your understanding of data engineering. 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 Amazon DynamoDB as the primary data store for a real-time recommendation engine. The data engineering team needs to export a daily snapshot of the DynamoDB table to S3 for offline analytics. The table is large (10 TB) and has a high read/write throughput. Which method will export the data with the least impact on the production workload?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

Clue: "least"
Why it matters: You want the option with minimum overhead, fewest steps, or lowest impact — not the most feature-rich or comprehensive answer.
Clue: "primary"
Why it matters: Asks for the main purpose or function, not a secondary benefit. Eliminate answers that describe side-effects or partial functions.

A
Use AWS Data Pipeline to export the DynamoDB table to S3.
Why wrong: Data Pipeline also uses scan operations, consuming RCUs.
B
Use DynamoDB Scan API with parallel scans to export data to S3.
Why wrong: Scan operations consume read capacity units and impact production workload.
C
Use the DynamoDB export to S3 feature available in the AWS Console or CLI.
This feature exports data without consuming read capacity units, minimizing impact.
D
Use AWS Glue ETL job with a DynamoDB connection to export data.
Why wrong: Glue ETL also reads from DynamoDB using scan, consuming RCUs.

Full breakdown with real-world context →

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

✓

Use the DynamoDB export to S3 feature available in the AWS Console or CLI.

Option C is correct because the native DynamoDB export to S3 feature uses the table's internal backup mechanism (point-in-time recovery) to export data without consuming any read capacity units (RCUs) from the production table. This ensures zero impact on the live workload, even for a 10 TB table with high throughput.

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.

✗
Use AWS Data Pipeline to export the DynamoDB table to S3.
Why it's wrong here
Data Pipeline also uses scan operations, consuming RCUs.
✗
Use DynamoDB Scan API with parallel scans to export data to S3.
Why it's wrong here
Scan operations consume read capacity units and impact production workload.
✓
Use the DynamoDB export to S3 feature available in the AWS Console or CLI.
Why this is correct
This feature exports data without consuming read capacity units, minimizing impact.
Clue confirmation
The clue words "least", "primary" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use AWS Glue ETL job with a DynamoDB connection to export data.
Why it's wrong here
Glue ETL also reads from DynamoDB using scan, consuming RCUs.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates assume any data extraction from DynamoDB must use the Scan API (options A, B, D) and overlook the native export feature that bypasses the live table entirely, which is the only zero-impact method for large, high-throughput tables.

Detailed technical explanation

How to think about this question

The DynamoDB export to S3 feature leverages the table's point-in-time recovery (PITR) backup data, which is stored in a separate internal storage layer (DynamoDB Streams and S3-based snapshots). This means the export reads from the backup copy, not the live table, so it does not consume any RCUs or affect the table's provisioned throughput. The export is performed asynchronously and can handle tables up to hundreds of terabytes, outputting data in DynamoDB JSON or Amazon Ion format.

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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.

Quick reference

AWS S3 Storage Class Comparison

Storage Class	Min Duration	Retrieval	Use Case
S3 Standard	None	Immediate	Frequently accessed data
S3 Standard-IA	30 days	Immediate	Infrequent access, rapid retrieval
S3 One Zone-IA	30 days	Immediate	Non-critical infrequent data
S3 Intelligent-Tiering	None	Immediate–hours	Unknown or changing access patterns
S3 Glacier Instant	90 days	Milliseconds	Archive with instant retrieval
S3 Glacier Flexible	90 days	Minutes–hours	Archive, flexible retrieval
S3 Glacier Deep Archive	180 days	Hours	Long-term compliance archive

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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FAQ

Questions learners often ask

What does this MLS-C01 question test?

Data Engineering — This question tests Data Engineering — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Use the DynamoDB export to S3 feature available in the AWS Console or CLI. — Option C is correct because the native DynamoDB export to S3 feature uses the table's internal backup mechanism (point-in-time recovery) to export data without consuming any read capacity units (RCUs) from the production table. This ensures zero impact on the live workload, even for a 10 TB table with high throughput.

What should I do if I get this MLS-C01 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

Are there clue words in this question I should notice?

Yes — watch for: "least", "primary". You want the option with minimum overhead, fewest steps, or lowest impact — not the most feature-rich or comprehensive answer.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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