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Amazon AWS Certified Developer - Associate Sample Questions (Q70-Q75):

NEW QUESTION # 70
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?

Answer: B

Explanation:
AWS AppConfig Feature Flags are designed to release features safely with minimal code changes. The lowest operational overhead approach is to use a single feature flag and configure it to deliver the feature to a percentage of users through built-in targeting rules and variants.
With option C, the developer creates one AppConfig feature flag and defines a variant that represents the new feature behavior (for example, enabled=true or a "newExperience" variant). Then the developer creates a rule in AppConfig to target 15% of users. AppConfig feature flags support rules that can evaluate attributes (such as user IDs or other contextual attributes supplied by the application) and apply percentage-based rollout. This avoids building and maintaining custom rollout logic in the application.
Option A and D both require implementing and maintaining custom traffic splitting in code, which increases complexity and operational burden, and risks inconsistent behavior across clients/services.
Option B adds extra configuration overhead and complexity by managing multiple feature flags for "groups" instead of using a single flag with a variant and rule. A single flag with variants is the clean, scalable pattern.
Therefore, create one AppConfig feature flag, define a variant, and configure a rule to target 15% of users.


NEW QUESTION # 71
A company has an application that uses an AWS Lambda function to process customer orders. The company notices that the application processes some orders more than once.
A developer needs to update the application to prevent duplicate processing.
Which solution will meet this requirement with the LEAST implementation effort?

Answer: B

Explanation:
Requirement Summary:
* Orders are being processed more than once
* Need to prevent duplicate processing
* Looking for least implementation effort
Key Concept:
* Lambda + Event-driven patterns can occasionally result in duplicate invocations (at-least-once delivery model)
* You need idempotency (i.e., prevent repeated processing of same event) Evaluate Options:
A). Use DynamoDB for de-duplication
* Simple and widely used approach
* Store a unique orderId as the primary key
* Before processing, check if order exists
* If yes # skip
* If no # process and store the ID
* Minimal code changes required
B). ECS + Step Functions
* Overkill for basic de-duplication
* Adds significant complexity
C). Retry logic with fixed delay
* Doesn't prevent duplication - makes it worse
* Retrying might trigger the same message again
D). Athena to identify duplicates
* Reactive solution, not preventative
* Not suitable for real-time event de-duplication
* Lambda idempotency: https://docs.aws.amazon.com/lambda/latest/dg/invocation-retries.html
* Using DynamoDB for idempotent design: https://aws.amazon.com/blogs/compute/how-to-design- idempotent-APIs-on-aws/


NEW QUESTION # 72
A developer is creating a simple proof-of-concept demo by using AWS CloudFormation and AWS Lambda functions The demo will use a CloudFormation template to deploy an existing Lambda function The Lambda function uses deployment packages and dependencies stored in Amazon S3 The developer defined anAWS Lambda Function resource in a CloudFormation template. The developer needs to add the S3 bucket to the CloudFormation template.
What should the developer do to meet these requirements with the LEAST development effort?

Answer: A

Explanation:
* S3Bucket and S3Key: These properties in a CloudFormation AWS::Lambda::Function resource specify the location of the function's code in S3.
* Least Development Effort: This solution minimizes code changes, relying on CloudFormation to reference the existing S3 deployment package.
References:
AWS::Lambda::Function Resource https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws- resource-lambda-function.html


NEW QUESTION # 73
A company is building a web application on AWS. When a customer sends a request, the application will generate reports and then make the reports available to the customer within one hour. Reports should be accessible to the customer for 8 hours. Some reports are larger than 1 MB. Each report is unique to the customer. The application should delete all reports that are older than 2 days.
Which solution will meet these requirements with the LEAST operational overhead?

Answer: D

Explanation:
Explanation
This solution will meet the requirements with the least operational overhead because it uses Amazon S3 as a scalable, secure, and durable storage service for the reports. The presigned URL will allow customers to access their reports for a limited time (8 hours) without requiring additional authentication. The S3 Lifecycle configuration rules will automatically delete the reports that are older than 2 days, reducing storage costs and complying with the data retention policy. Option A is not optimal because it will incur additional costs and complexity to store the reports as DynamoDB items, which have a size limit of 400 KB. Option B is not optimal because it will not provide customers with access to their reports within one hour, as Amazon SNS email delivery is not guaranteed. Option D is not optimal because it will require more operational overhead to manage an RDS database and a Lambda function for storing and deleting the reports.
References: Amazon S3 Presigned URLs, Amazon S3 Lifecycle


NEW QUESTION # 74
An application uses Lambda functions to extract metadata from files uploaded to an S3 bucket; the metadata is stored in Amazon DynamoDB. The application starts behaving unexpectedly, and the developer wants to examine the logs of the Lambda function code for errors.
Based on this system configuration, where would the developer find the logs?

Answer: B

Explanation:
Explanation
Amazon CloudWatch is the service that collects and stores logs from AWS Lambda functions. The developer can use CloudWatch Logs Insights to query and analyze the logs for errors and metrics. Option A is not correct because Amazon S3 is a storage service that does not store Lambda function logs. Option B is not correct because AWS CloudTrail is a service that records API calls and events for AWS services, not Lambda function logs. Option D is not correct because Amazon DynamoDB is a database service that does not store Lambda function logs.
References: AWS Lambda Monitoring, [CloudWatch Logs Insights]


NEW QUESTION # 75
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