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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security | 26% | - Implement encryption by using AWS services
|
| Topic 2: Troubleshooting and Optimization | 18% | - Instrument code for observability
|
| Topic 3: Deployment | 24% | - Prepare application artifacts to be deployed to AWS
|
| Topic 4: Development with AWS Services | 32% | - Use data stores in application development
|
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NEW QUESTION # 226
An application adds a processing date to each transaction that it receives. The application writes each transaction to an Amazon DynamoDB table by using the PutItem operation. Each transaction has a unique ID (transactionID). Sometimes the application receives transactions more than once. A developer notices that duplicate transactions in DynamoDB have the latest processing date instead of the date when the transaction was first received. Duplicate records happen infrequently, and most transactions are unique. What is the MOST cost-effective solution that the developer can implement to ensure that PutItem does not update an existing record?
Answer: C
Explanation:
The correct answer is D because the most cost-effective way to prevent PutItem from overwriting an existing item in Amazon DynamoDB is to use a conditional write with attribute_not_exists(transactionID) . AWS documentation explains that conditional expressions allow write operations to succeed only when specified conditions are true. In this case, the write should occur only if the item does not already exist. That preserves the original processing date for the first received transaction and prevents duplicates from replacing it.
This is the most cost-effective solution because it uses a single write request instead of adding an additional read operation. Since duplicate transactions happen infrequently and most items are unique, using GetItem first, as in option A, would introduce an extra read for every transaction, increasing cost and adding latency. A conditional put avoids that overhead and keeps the logic atomic. It also protects against race conditions where two requests might check for existence at nearly the same time and both attempt to write.
Option B is incorrect because TTL only controls automatic expiration of items and does not prevent overwrites. Option C is incorrect because attribute_exists(transactionID) would allow the write only when the item already exists, which is the opposite of the required behavior.
Therefore, the correct DynamoDB pattern is to use PutItem with a condition expression of attribute_not_exists(transactionID) so that existing records are not updated and the earliest processing date is preserved.
NEW QUESTION # 227
A developer deployed an application to an Amazon EC2 instance The application needs to know the public IPv4 address of the instance How can the application find this information?
Answer: A
Explanation:
* Instance Metadata Service: EC2 instances have access to an internal metadata service. It provides instance-specific information like instance ID, security groups, and public IP address.
* Accessing Metadata:
* Make
an HTTP GET request to the base URL: http://169.254.169.254/latest/meta-data/
* You'll get a list of available categories. The public IPv4 address is under public-ipv4.
References:
Instance Metadata and User Data: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data- retrieval.html
NEW QUESTION # 228
An application that runs on AWS Lambda requires access to specific highly confidential objects in an Amazon S3 bucket. In accordance with the principle of least privilege a company grants access to the S3 bucket by using only temporary credentials.
How can a developer configure access to the S3 bucket in the MOST secure way?
Answer: B
Explanation:
This solution will meet the requirements by creating a Lambda function execution role, which is an IAM role that grants permissions to a Lambda function to access AWS resources such as Amazon S3 objects. The developer can attach a policy to the role that grants access to specific objects in the S3 bucket that are required by the application, following the principle of least privilege. Option A is not optimal because it will hardcode the credentials that are required to access S3 objects in the application code, which is insecure and difficult to maintain. Option B is not optimal because it will create a secret access key and access key ID with permission to access the S3 bucket, which will introduce additional security risks and complexity for storing and managing credentials. Option D is not optimal because it will store the secret access key and access key ID as environment variables in Lambda, which is also insecure and difficult to maintain.
References: [AWS Lambda Execution Role], [Using AWS Lambda with Amazon S3]
NEW QUESTION # 229
A company has an image storage web application that runs on AWS. The company hosts the application on Amazon EC2 instances in an Auto Scaling group. The Auto Scaling group acts as the target group for an Application Load Balancer (ALB) and uses an Amazon S3 bucket to store the images for sale.
The company wants to develop a feature to test system requests. The feature will direct requests to a separate target group that hosts a new beta version of the application.
Which solution will meet this requirement with the LEAST effort?
Answer: B
Explanation:
This solution will allow the company to direct requests to a separate target group that hosts the new beta version of the application without having to create a new ALB or use additional services such as Amazon Route 53 or Amazon CloudFront.
Option D adds additional complexity and effort compared to option A, which simply involves updating the ALB routing rule with a condition that looks for a cookie named version that has a value of beta and updating the test system code to use this cookie to test the beta version of the application.
NEW QUESTION # 230
A company built a new application in the AWS Cloud. The company automated the bootstrapping of new resources with an Auto Scaling group by using AWS Cloudf-ormation templates. The bootstrap scripts contain sensitive data.
The company needs a solution that is integrated with CloudFormation to manage the sensitive data in the bootstrap scripts.
Which solution will meet these requirements in the MOST secure way?
Answer: C
Explanation:
Explanation
This solution meets the requirements in the most secure way because it uses a service that is integrated with CloudFormation to manage sensitive data in encrypted form. AWS Systems Manager Parameter Store provides secure, hierarchical storage for configuration data management and secrets management. You can store sensitive data as secure string parameters, which are encrypted using an AWS Key Management Service (AWS KMS) key of your choice. You can also use dynamic references in your CloudFormation templates to specify template values that are stored in Parameter Store or Secrets Manager without having to include them in your templates. Dynamic references are resolved only during stack creation or update operations, which reduces exposure risks for sensitive data. Putting sensitive data into a CloudFormation parameter will not encrypt them or protect them from unauthorized access. Putting sensitive data into an Amazon S3 bucket or Amazon Elastic File System (Amazon EFS) will require additional configuration and integration with CloudFormation and may not provide fine-grained access control or encryption for sensitive data.
NEW QUESTION # 231
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