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NEW QUESTION # 355
A developer manages an application that stores user objects in an Amazon S3 bucket without versioning enabled. The application has premium users and basic users.
After premium users upload objects, the premium users have unlimited downloads of their objects. Their objects are stored with a premium/ prefix. After basic users upload objects, the basic users can download their objects for 90 days. Their objects are stored with a basic/ prefix.
The developer needs to implement a solution to automatically delete objects for the basic users after 90 days.
Which solution will meet these requirements with the LEAST development effort?
Answer: A
Explanation:
The requirement is to automatically delete objects for basic users after 90 days with the least development effort. Amazon S3 provides a built-in, fully managed feature for this: S3 Lifecycle configuration rules .
Lifecycle rules can filter objects by prefix (and/or tags) and then perform actions such as expiring (deleting) objects after a specified number of days since creation. Because the bucket does not have versioning enabled, the relevant action is to expire the current object after the retention period.
Option C matches this exactly: create an S3 Lifecycle rule that applies only to objects under the basic/ prefix and configure the rule to expire current versions after 90 days . S3 then automatically and continuously enforces the policy without any code, scheduling, or operational maintenance. This is typically the lowest- effort and most reliable approach because it is handled by S3 itself.
Option A requires writing and operating a Lambda function plus a scheduler, handling pagination, permissions, error handling, retries, and potential costs and throttling when scanning large buckets. That is more development and operational effort than a lifecycle rule. Option B is incorrect because it targets the premium/ prefix, but premium objects must be retained indefinitely. Option D refers to delete markers and unfinished multipart uploads; delete markers are relevant primarily for versioned buckets , and cleaning up multipart uploads does not implement the required "delete basic objects after 90 days" behavior.
Therefore, the correct solution is C : use an S3 Lifecycle rule scoped to the basic/ prefix to expire objects after 90 days, achieving automated retention with minimal development effort.
NEW QUESTION # 356
A developer is reviewing an AWS Step Functions state machine to process files that are uploaded to an Amazon S3 bucket. The state machine is created by an AWS CloudFormation template. The state machine includes three sequential AWS Lambda functions. The state machine runs when new objects are uploaded to the S3 bucket. Full logging to Amazon CloudWatch and AWS X-Ray is enabled in the template.
When the developer reviews the state machine output, the developer sees that the logs include sensitive information. The developer must prevent the logs from storing sensitive information.
Which solution will meet this requirement?
Answer: A
Explanation:
The sensitive information is appearing because Step Functions logging is including execution data, such as input and output passed between states. Changing the logging level to ERROR or FATAL reduces the categories of events captured but does not specifically prevent sensitive execution payloads from being included when events are logged. Disabling X-Ray tracing does not solve CloudWatch Logs exposure because tracing and logging are separate configurations. The correct CloudFormation change is to set IncludeExecutionData to false in the Step Functions logging configuration. AWS Step Functions documentation states that includeExecutionData determines whether execution data is included in logs, and when it is set to false, that data is excluded. ( AWS Documentation )
NEW QUESTION # 357
A developer is building a multi-tenant application using AWS Lambda, Amazon S3, and Amazon DynamoDB. Each S3 object prefix represents a tenant name, and DynamoDB uses the tenant name as the partition key.
The developer must prevent cross-tenant data access during processing.
Which combination of actions will meet this requirement? (Select THREE.)
Answer: A,B,E
Explanation:
Comprehensive and Detailed Explanation (250-300 words):
AWS best practices for multi-tenant isolation recommend session-based access control using IAM session tags. Session tags allow temporary credentials to be scoped dynamically based on tenant context.
First, the data access role must allow sts:TagSession (Option A) so tenant identifiers can be passed securely at runtime. The Lambda function assumes this role and includes the tenant name as a session tag (Option F).
Next, IAM policies on the data access role restrict access to S3 object prefixes and DynamoDB partition keys by evaluating the session tag (Option C). This ensures that even if a bug occurs, the role cannot access data belonging to another tenant.
Resource-based DynamoDB policies and RCPs are unnecessary here and add complexity.
This approach follows AWS's recommended attribute-based access control (ABAC) model and provides strong tenant isolation with minimal operational overhead.
NEW QUESTION # 358
A developer manages a website that distributes its content by using Amazon CloudFront. The website's static artifacts are stored in an Amazon S3 bucket.
The developer deploys some changes and can see the new artifacts in the S3 bucket. However, the changes do not appear on the webpage that the CloudFront distribution delivers.
How should the developer resolve this issue?
Answer: D
Explanation:
CloudFront is a content delivery network that caches objects at edge locations to reduce latency and origin load. When the developer updates static artifacts in the origin S3 bucket, CloudFront may continue serving cached versions until the objects expire based on cache-control headers or the distribution's TTL settings.
That is why the developer sees the updated files in S3 but not on the site.
The standard fix is to perform a CloudFront cache invalidation for the updated object paths (for example, /app.
js, /styles.css, or /* if needed). An invalidation forces CloudFront edge locations to remove the cached objects so the next viewer request fetches the latest version from the S3 origin.
Option C directly addresses this behavior and is the correct operational practice when cache TTLs would otherwise delay updates.
Option A (Object Lock) is for WORM retention/compliance and has nothing to do with CloudFront cache refresh.
Option B might change what exists in S3 but does not guarantee CloudFront will stop serving cached content; the cache can still serve objects even if deleted from the origin (until it revalidates/refreshes).
Option D is unnecessary; the origin does not need to change to fetch updated content.
Therefore, invalidate the CloudFront cache after deployment to ensure the new artifacts are served.
NEW QUESTION # 359
A developer accesses AWS CodeCommit over SSH. The SSH keys configured to access AWS CodeCommit are tied to a user with the following permissions:
The developer needs to create/delete branches
Which specific IAM permissions need to be added based on the principle of least privilege?
Answer: B
Explanation:
This solution allows the developer to create and delete branches in AWS CodeCommit by granting the codecommit:CreateBranch and codecommit:DeleteBranch permissions. These are the minimum permissions required for this task, following the principle of least privilege. Option B grants too many permissions, such as codecommit:Put*, which allows the developer to create, update, or delete any resource in CodeCommit.
Option C grants too few permissions, such as codecommit:Update*, which does not allow the developer to create or delete branches. Option D grants all permissions, such as codecommit:*, which is not secure or recommended.
NEW QUESTION # 360
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