Question 252 of 500

Quick Answer

The answer is to use SageMaker with VPC endpoints and enforce HTTPS for API calls. These two actions directly address data protection by ensuring that data never traverses the public internet during transit and that all communication between SageMaker and other services is encrypted via HTTPS. For data at rest, enabling default S3 bucket encryption with AWS KMS is the complementary step, as SageMaker reads training data from S3, and KMS provides auditable, managed key control. On the AWS Certified AI Practitioner AIF-C01 exam, this question tests your understanding of the shared responsibility model and network-level versus storage-level controls; a common trap is confusing encryption in transit (HTTPS/VPC endpoints) with encryption at rest (S3/KMS). Remember the mnemonic: “VPC for the road, KMS for the load”—VPC endpoints secure data in transit, while KMS encryption secures data at rest in S3.

AIF-C01 Practice Question: Security, Compliance and Governance for AI Solutions

This AIF-C01 practice question tests your understanding of security, compliance and governance for ai solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 needs to secure data used for training machine learning models in Amazon SageMaker. Which TWO actions should be taken to protect data at rest and in transit? (Choose TWO.)

Question 1mediummulti select
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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 default encryption on S3 buckets using AWS KMS

Option B is correct because enabling default encryption on S3 buckets using AWS KMS ensures that all objects stored in the bucket are encrypted at rest. This is a fundamental security practice for protecting training data in SageMaker, as SageMaker reads data from S3. Using AWS KMS allows you to manage and audit encryption keys, providing fine-grained control over data protection.

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 Certificate Manager (ACM) to generate certificates for all SageMaker endpoints

    Why it's wrong here

    ACM certs are for HTTPS endpoints but not the primary method for data protection; KMS is better for at rest.

  • Enable default encryption on S3 buckets using AWS KMS

    Why this is correct

    This encrypts data at rest in S3.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Disable root access on SageMaker notebook instances

    Why it's wrong here

    This is a security best practice but does not protect data at rest or in transit.

  • Use SageMaker with VPC endpoints and enforce HTTPS for API calls

    Why this is correct

    VPC endpoints keep traffic within the AWS network, and HTTPS encrypts data in transit.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Use SageMaker Model Registry to track model versions

    Why it's wrong here

    Model Registry is for governance, not encryption.

Common exam traps

Common exam trap: answer the scenario, not the keyword

AWS often tests the distinction between data protection mechanisms (encryption) and other security controls (access management, model governance), leading candidates to confuse disabling root access or using Model Registry with data encryption requirements.

Detailed technical explanation

How to think about this question

For data in transit, SageMaker supports HTTPS (TLS 1.2) for all API calls, and using VPC endpoints (AWS PrivateLink) ensures that traffic between SageMaker and S3 stays within the AWS network, avoiding the public internet. For data at rest, S3 server-side encryption with KMS (SSE-KMS) provides envelope encryption, where a CMK encrypts a data key that encrypts the object, allowing key rotation and audit trails via AWS CloudTrail. A real-world scenario is a healthcare company storing PHI in S3; enabling default KMS encryption ensures compliance with HIPAA by encrypting all data automatically.

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.

What to study next

Got this wrong? Here's your next step.

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FAQ

Questions learners often ask

What does this AIF-C01 question test?

Security, Compliance and Governance for AI Solutions — This question tests Security, Compliance and Governance for AI Solutions — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Enable default encryption on S3 buckets using AWS KMS — Option B is correct because enabling default encryption on S3 buckets using AWS KMS ensures that all objects stored in the bucket are encrypted at rest. This is a fundamental security practice for protecting training data in SageMaker, as SageMaker reads data from S3. Using AWS KMS allows you to manage and audit encryption keys, providing fine-grained control over data protection.

What should I do if I get this AIF-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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Last reviewed: Jun 30, 2026

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This AIF-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 AIF-C01 exam.