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Question 381

A developer maintains an Amazon API Gateway REST API. Customers use the API through a frontend UI and Amazon Cognito authentication.
The developer has a new version of the API that contains new endpoints and backward-incompatible interface changes. The developer needs to provide beta access to other developers on the team without affecting customers.
Which solution will meet these requirements with the LEAST operational overhead?

A.Define a development stage on the API Gateway API. Instruct the other developers to point the endpoints to the development stage.
B.Define a new API Gateway API that points to the new API application code. Instruct the other developers to point the endpoints to the new API.
C.Implement a query parameter in the API application code that determines which code version to call.
D.Specify new API Gateway endpoints for the API endpoints that the developer wants to add.

Question 382

A company has multiple Amazon VPC endpoints in the same VPC. A developer needs configure an Amazon S3 bucket policy so users can access an S3 bucket only by using these VPC endpoints.
Which solution will meet these requirements?

A.Create multiple S3 bucket polices by using each VPC endpoint ID that have the aws SourceVpce value in the StringNotEquals condition.
B.Create a single S3 bucket policy that has the aws SourceVpc value and in the StingNotEquals condition to use VPC ID.
C.Create a single S3 bucket policy that the multiple aws SourceVpce value and in the SringNotEquals condton to use vpce.
D.Create a single S3 bucket policy that has multiple aws sourceVpce value in the StingNotEquale condition. Repeat for all the VPC endpoint IDs.

Question 383

A company wants to use AWS AppConfig to gradually deploy a new feature to 15% of users to test the feature before a full deployment.
Which solution will meet this requirement with the LEAST operational overhead?

A.Set up a custom script within the application to randomly select 15% of users. Assign a flag for the new feature to the selected users.
B.Create separate AWS AppConfig feature flags for both groups of users. Configure the flags to target 15% of users.
C.Create an AWS AppConfig feature flag. Define a variant for the new feature, and create a rule to target 15% of users.
D.Use AWS AppConfig to create a feature flag without variants. Implement a custom traffic splitting mechanism in the application code.

Correct Answer: C

Comprehensive Detailed and Lengthy Step-by-Step Explanation with All AWS Developer Reference:
1. Understanding the Use Case:
The company wants to gradually release a new feature to 15% of users to perform testing. AWS AppConfig is designed to manage and deploy configurations, including feature flags, allowing controlled rollouts.
2. Key AWS AppConfig Features:
Feature Flags: Enable or disable features dynamically without redeploying code.
Variants: Define different configurations for subsets of users.
Targeting Rules: Specify rules for which users receive a particular variant.
3. Explanation of the Options:
Option A:
"Set up a custom script within the application to randomly select 15% of users. Assign a flag for the new feature to the selected users." While possible, this approach requires significant operational effort to manage user selection and ensure randomness. It does not leverage AWS AppConfig's built-in capabilities, which increases overhead.
Option B:
"Create separate AWS AppConfig feature flags for both groups of users. Configure the flags to target 15% of users." Creating multiple feature flags for different user groups complicates configuration management and does not optimize the use of AWS AppConfig.
Option C:
"Create an AWS AppConfig feature flag. Define a variant for the new feature, and create a rule to target 15% of users." This is the correct solution. Using AWS AppConfig feature flags with variants and targeting rules is the most efficient approach. It minimizes operational overhead by leveraging AWS AppConfig's built-in targeting and rollout capabilities.
Option D:
"Use AWS AppConfig to create a feature flag without variants. Implement a custom traffic splitting mechanism in the application code." This approach requires custom implementation within the application code, increasing complexity and operational effort.
4. Implementation Steps for Option C:
Set Up AWS AppConfig:
Open the AWS Systems Manager Console.
Navigate to AppConfig.
Create a Feature Flag:
Define a new configuration for the feature flag.
Add variants (e.g., "enabled" for the new feature and "disabled" for no change).
Define a Targeting Rule:
Use percentage-based targeting to define a rule that applies the "enabled" variant to 15% of users.
Targeting rules can use attributes like user IDs or geographic locations.
Deploy the Configuration:
Deploy the configuration using a controlled rollout to ensure gradual exposure.
Reference:
AWS AppConfig Documentation
Feature Flags in AWS AppConfig
AWS AppConfig Targeting Rules

Question 384

A developer is working on a serverless application that needs to process any changes to an Amazon DynamoDB table with an AWS Lambda function.
How should the developer configure the Lambda function to detect changes to the DynamoDB table?

A.Create an Amazon Kinesis data stream, and attach it to the DynamoDB table. Create a trigger to connect the data stream to the Lambda function.
B.Create an Amazon EventBridge rule to invoke the Lambda function on a regular schedule. Conned to the DynamoDB table from the Lambda function to detect changes.
C.Enable DynamoDB Streams on the table. Create a trigger to connect the DynamoDB stream to the Lambda function.
D.Create an Amazon Kinesis Data Firehose delivery stream, and attach it to the DynamoDB table.Configure the delivery stream destination as the Lambda function.

Question 385

An application that is hosted on an Amazon EC2 instance needs access to files that are stored in an Amazon S3 bucket. The application lists the objects that are stored in the S3 bucket and displays a table to the user.
During testing, a developer discovers that the application does not show any objects in the list.
What is the MOST secure way to resolve this issue?

A.Update the IAM instance profile that is attached to the EC2 instance to include the S3:* permission for the S3 bucket.
B.Update the IAM instance profile that is attached to the EC2 instance to include the S3:ListBucket permission for the S3 bucket.
C.Update the developer's user permissions to include the S3:ListBucket permission for the S3 bucket.
D.Update the S3 bucket policy by including the S3:ListBucket permission and by setting the Principal element to specify the account number of the EC2 instance.