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>> SCS-C03 Exam Questions And Answers <<
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NEW QUESTION # 158
A company's data scientists want to create artificial intelligence and machine learning (AI/ML) training models by using Amazon SageMaker. The training models will use large datasets in an Amazon S3 bucket.
The datasets contain sensitive information.
On average, the data scientists need 30 days to train models. The S3 bucket has been secured appropriately.
The company's data retention policy states that all data that is older than 45 days must be removed from the S3 bucket.
Which action should a security engineer take to enforce this data retention policy?
Answer: B
Explanation:
Amazon S3 Lifecycle rules provide anative, fully managed mechanismto automatically transition or delete objects based on their age. According to the AWS Certified Security - Specialty Official Study Guide, S3 Lifecycle policies are therecommended and most secure methodfor enforcing data retention requirements because they operate automatically, consistently, and without custom code.
By configuring a lifecycle rule to delete objects after 45 days, the company ensures that sensitive datasets are retained long enough to support the 30-day model training process while remaining compliant with the data retention policy. Lifecycle rules are enforced by Amazon S3 itself and apply uniformly to all objects in the bucket or to objects that match specific prefixes or tags.
Option B and Option C introduce unnecessary operational complexity and risk by relying on custom Lambda code and scheduling. These approaches are more error-prone, harder to audit, and less reliable than a built-in S3 capability. Option D is incorrect because S3 Intelligent-Tiering manages storage cost optimization and does not delete data.
AWS documentation explicitly states thatS3 Lifecycle rules are the standard control for enforcing retention and deletion policies, particularly for sensitive data stored at scale.
* AWS Certified Security - Specialty Official Study Guide
* Amazon S3 Lifecycle Configuration Documentation
* AWS Data Protection Best Practices
NEW QUESTION # 159
A company has the following security policy for its Amazon Aurora MySQL databases for a single AWS account:
- Database storage must be encrypted at rest.
- Deletion protection must be enabled.
- Databases must not be publicly accessible.
- Database audit logs must be published to Amazon CloudWatch Logs.
A security engineer must implement a solution that continuously monitors all Aurora MySQL resources for compliance with this policy. The solution must be able to display a database's compliance state for each part of the policy at any time.
Which solution will meet these requirements?
Answer: B
Explanation:
AWS Config is a fully managed service that provides continuous monitoring and evaluation of AWS resource configurations against desired configuration baselines. According to the AWS Certified Security - Specialty Official Study Guide, AWS Config is the primary service used to track configuration changes, evaluate compliance in near real time, and display compliance states for individual AWS resources.
AWS Config provides managed rules that directly map to the listed Aurora MySQL security requirements, including encryption at rest, public accessibility, deletion protection, and log exports to CloudWatch Logs. These managed rules continuously evaluate resources and mark them as compliant or noncompliant whenever a configuration change occurs.
The AWS Config dashboard enables security engineers to view per-resource and per-rule compliance states at any point in time, satisfying the requirement to display compliance status for each part of the policy.
NEW QUESTION # 160
A company uploads data files as objects into an Amazon S3 bucket. A vendor downloads the objects to perform data processing. A security engineer must implement a solution that prevents objects from residing in the S3 bucket for longer than 72 hours.
Answer: C
Explanation:
Amazon S3 Lifecycle configuration rules are the native, automated mechanism for managing object retention and deletion. According to AWS Certified Security - Specialty documentation, lifecycle rules can be configured to expire objects based on the number of days since object creation. Once the expiration time is reached, Amazon S3 permanently deletes the objects without manual intervention.
This solution directly enforces a maximum retention period of 72 hours and ensures compliance regardless of whether the vendor downloads the data or not. Lifecycle rules are evaluated continuously by Amazon S3 and do not require scripts, cron jobs, or additional services, making them the most operationally efficient and cost-effective solution.
S3 Versioning controls versions but does not enforce object deletion timelines. S3 Intelligent- Tiering optimizes storage cost but does not delete objects. Presigned URLs only control access duration and do not remove objects from storage.
AWS explicitly recommends lifecycle policies for automated data retention enforcement.
NEW QUESTION # 161
A company runs an application on a fleet of Amazon EC2 instances. The application is accessible to users around the world. The company associates an AWS WAF web ACL with an Application Load Balancer (ALB) that routes traffic to the EC2 instances.
A security engineer is investigating a sudden increase in traffic to the application. The security engineer discovers a significant amount of potentially malicious requests coming from hundreds of IP addresses in two countries. The security engineer wants to quickly limit the potentially malicious requests but does not want to prevent legitimate users from accessing the application.
Which solution will meet these requirements?
Answer: A
Explanation:
AWS WAF rate-based rules are specifically designed to protect applications from traffic floods and distributed attacks that originate from large numbers of IP addresses. According to the AWS Certified Security - Specialty Official Study Guide, rate-based rules automatically track the number of requests coming from individual IP addresses and temporarily block IPs that exceed a defined threshold.
In this scenario, the malicious traffic originates from hundreds of IP addresses across two countries, mixed with legitimate user traffic. A rate-based rule allows the security engineer to limit excessive request rates without fully blocking access from entire geographic regions, ensuring that legitimate users can still access the application.
NEW QUESTION # 162
A company is using AWS Organizations with the default SCP. The company needs to restrict AWS usage for all AWS accounts that are in a specific OU. Except for some desired global services, the AWS usage must occur only in theeu-west-1Region for all accounts in the OU. A security engineer must create an SCP that applies the restriction to existing accounts and any new accounts in the OU.
Which SCP will meet these requirements?
Answer: B
Explanation:
To restrict activity to a single Region in an OU using an SCP, the standard pattern is an explicitDenyfor requests madeoutsidethe allowed Region, while carving out exceptions forglobal servicesthat do not use aws:RequestedRegion in the same way (or that must remain usable regardless of Region). This is done withEffect: Deny, aConditionusing StringNotEquals on aws:RequestedRegion for the allowed Region (here, eu-west-1), andNotActionlisting the global services that should remain available.
This works because SCPs act asguardrails: an explicit Deny in an SCP overrides IAM Allow in member accounts, ensuring the restriction applies consistently to all existing and future accounts placed in the OU. The StringNotEquals condition ensures the deny triggers for any Region other than eu-west-1. The NotAction exception list ensures that the specified global services are not blocked by this deny statement.
NEW QUESTION # 163
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