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| Section | Weight | Objectives |
|---|---|---|
| Development with AWS Services | 32% | - Application development and integration
|
| Security | 26% | - Application authentication and authorization
|
| Deployment | 24% | - Infrastructure as code
|
| Troubleshooting and Optimization | 18% | - Monitoring and logging
|
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NEW QUESTION # 812
A developer for a company uses an Amazon S3 bucket to store log files. A bucket policy on the S3 bucket denies all write and delete operations for all principals.
The developer observes that files have been deleted from the S3 bucket despite the bucket policy. The developer must prevent additional deletions from the S3 bucket.
Which solution will meet this requirement?
Answer: A
Explanation:
If a bucket policy denies delete operations for all principals, but objects are still being removed, the most likely cause is S3 Lifecycle configuration. Lifecycle expiration is an S3-managed action that deletes objects automatically based on rules (such as "expire after N days"). These deletions occur as part of the S3 service's lifecycle management and are not "someone calling DeleteObject" in the usual way from an IAM principal.
As a result, developers often observe objects disappearing even though bucket policies deny deletes.
Therefore, to prevent additional deletions, the developer should review and remove (or modify) any Lifecycle rules that expire or transition/delete objects. This directly stops S3 from automatically deleting the log files.
Option A would not help if the policy already denies deletes and no explicit allow is causing the issue. Also, a deny overrides allow anyway.
Option C is unrelated: access points do not bypass bucket policies.
Option D is unlikely and not the primary control plane mechanism for automated S3 deletions. EventBridge can trigger workflows, but the direct, common AWS-native mechanism for periodic deletion is Lifecycle expiration.
Therefore, removing S3 Lifecycle expiration rules prevents further deletions.
NEW QUESTION # 813
A developer is leveraging a Border Gateway Protocol (BGP)-based AWS VPN connection to connect from on-premises to Amazon EC2 instances in the developer's account. The developer is able to access an EC2 instance in subnet A, but is unable to access an EC2 instance in subnet B in the same VPC. Which logs can the developer use to verify whether the traffic is reaching subnet B?
Answer: D
Explanation:
VPC Flow Logs capture network traffic information going to and from network interfaces in a VPC.
They are the best tool to verify if traffic is reaching subnet B and how it is being handled (accepted or rejected), helping to diagnose connectivity issues at the subnet or instance level.
NEW QUESTION # 814
A developer is building a new application that will be deployed on AWS. The developer has created an AWS CodeCommit repository for the application. The developer has initialized a new project for the application by invoking the AWS Cloud Development Kit (AWS CDK) cdk init command.
The developer must write unit tests for the infrastructure as code (IaC) templates that the AWS CDK generates. The developer also must run a validation tool across all constructs in the CDK application to ensure that critical security configurations are activated.
Which combination of actions will meet these requirements with the LEAST development overhead? (Choose two.)
Answer: B,C
NEW QUESTION # 815
A food-delivery company has an application that uses an Amazon DynamoDB table for customer orders. The table is in on-demand mode. The table uses order_date as the partition key. The table uses a combination of customer_id and order_id as the sort key (customer_id#order_id). During peak order periods, write operations to the table are being throttled. What should a developer do to resolve this issue?
Answer: C
Explanation:
The correct answer is D because the current DynamoDB table design is causing a hot partition problem. The table uses order_date as the partition key, which means that during peak ordering periods, a very large number of writes are likely targeting the same partition key value for the current date. In DynamoDB, write throttling often occurs when traffic is not evenly distributed across partition keys, even when the table uses on- demand mode . On-demand capacity can automatically scale, but it still depends on proper key distribution to avoid concentrated activity on a small number of partitions.
By changing the partition key to customer_id and using order_id as the sort key, writes will be spread across many customers instead of being concentrated on a small number of date values. This creates a more balanced write pattern and better aligns with DynamoDB best practices for high-scale workloads. DynamoDB documentation emphasizes choosing partition keys with high cardinality and even request distribution to avoid throttling and improve performance.
Option A is not a good design because a sequential partition key can still create uneven access patterns and usually does not support meaningful access requirements. Option B is not the best answer because simply increasing capacity does not fix a poor partition key design; hot partitions can still throttle. Option C is unnecessary because the issue is not that DynamoDB is the wrong service, but that the table schema needs redesign.
Therefore, the best solution is to refactor the key schema so that writes distribute more evenly across partitions, which is exactly what D achieves.
NEW QUESTION # 816
A developer is troubleshooting an application mat uses Amazon DynamoDB in the uswest-2 Region. The application is deployed to an Amazon EC2 instance. The application requires read-only permissions to a table that is named Cars The EC2 instance has an attached IAM role that contains the following IAM policy.
When the application tries to read from the Cars table, an Access Denied error occurs.
How can the developer resolve this error?
Answer: B
Explanation:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/access-control-overview.html#access-control-resource-ownership
NEW QUESTION # 817
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