Question 761 of 1,616
DeploymenteasyMultiple ChoiceObjective-mapped

Lambda Deployment Package Size Limit — S3 Workaround

This DVA-C02 practice question tests your understanding of deployment. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 developer is deploying a new version of a Lambda function using an AWS CodePipeline pipeline. The deployment fails during the 'Deploy' stage with an error indicating that the function's code is too large. What should the developer do to resolve this issue?

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

Upload the Lambda deployment package to Amazon S3 and reference it from the function

AWS Lambda has a hard limit of 50 MB for direct uploads via the console or API. When a deployment package exceeds this limit, the correct approach is to upload the package to Amazon S3 and configure the Lambda function to reference the S3 object. CodePipeline can then use the S3 location to deploy the function, bypassing the direct upload size restriction.

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.

  • Upload the Lambda deployment package to Amazon S3 and reference it from the function

    Why this is correct

    S3 allows larger packages.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Increase the Lambda function's timeout setting

    Why it's wrong here

    Timeout is unrelated to code size.

  • Use Amazon CloudFront to distribute the Lambda code

    Why it's wrong here

    CloudFront is for content delivery, not Lambda.

  • Enable AWS X-Ray tracing on the Lambda function

    Why it's wrong here

    X-Ray is for debugging, not code size.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates may confuse Lambda's execution timeout or memory limits with the deployment package size limit, or incorrectly assume that CloudFront can serve as a storage backend for Lambda code.

Detailed technical explanation

How to think about this question

Lambda deployment packages can be up to 250 MB when stored in S3 and referenced via the `S3Bucket`, `S3Key`, and `S3ObjectVersion` parameters in the `CreateFunction` or `UpdateFunctionCode` API. The 50 MB direct upload limit applies to the `ZipFile` parameter, which is base64-encoded and sent inline. For larger packages, the S3 approach is mandatory, and CodePipeline can automate this by using the `LambdaFunction` deployment action with the S3 artifact.

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.

Visual reference

Client Recursive Resolver Root DNS (13 root servers) TLD DNS (.com, .org, …) Authoritative example.com query IP addr answer

Quick reference

AWS S3 Storage Class Comparison

Storage ClassMin DurationRetrievalUse Case
S3 StandardNoneImmediateFrequently accessed data
S3 Standard-IA30 daysImmediateInfrequent access, rapid retrieval
S3 One Zone-IA30 daysImmediateNon-critical infrequent data
S3 Intelligent-TieringNoneImmediate–hoursUnknown or changing access patterns
S3 Glacier Instant90 daysMillisecondsArchive with instant retrieval
S3 Glacier Flexible90 daysMinutes–hoursArchive, flexible retrieval
S3 Glacier Deep Archive180 daysHoursLong-term compliance archive

What to study next

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FAQ

Questions learners often ask

What does this DVA-C02 question test?

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

What is the correct answer to this question?

The correct answer is: Upload the Lambda deployment package to Amazon S3 and reference it from the function — AWS Lambda has a hard limit of 50 MB for direct uploads via the console or API. When a deployment package exceeds this limit, the correct approach is to upload the package to Amazon S3 and configure the Lambda function to reference the S3 object. CodePipeline can then use the S3 location to deploy the function, bypassing the direct upload size restriction.

What should I do if I get this DVA-C02 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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Last reviewed: Jul 4, 2026

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This DVA-C02 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 DVA-C02 exam.