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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Troubleshooting and Optimization | 18% | - Instrument code for observability
|
| Topic 2: Security | 26% | - Implement authentication and/or authorization for applications and AWS services
|
| Topic 3: Deployment | 24% | - Test applications in development environments
|
| Topic 4: Development with AWS Services | 32% | - Develop code for applications hosted on AWS
|
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NEW QUESTION # 806
A development team maintains a web application by using a single AWS CloudFormation template. The template defines web servers and an Amazon RDS database. The team uses the Cloud Formation template to deploy the Cloud Formation stack to different environments.
During a recent application deployment, a developer caused the primary development database to be dropped and recreated. The result of this incident was a loss of data. The team needs to avoid accidental database deletion in the future.
Which solutions will meet these requirements? (Choose two.)
Answer: B,D
Explanation:
Explanation
AWS CloudFormation is a service that enables developers to model and provision AWS resources using templates. The developer can add a CloudFormation Deletion Policy attribute with the Retain value to the database resource. This will prevent the database from being deleted when the stack is deleted or updated.
The developer can also update the CloudFormation stack policy to prevent updates to the database. This will prevent accidental changes to the database configuration or properties.
References:
[What Is AWS CloudFormation? - AWS CloudFormation]
[DeletionPolicy Attribute - AWS CloudFormation]
[Protecting Resources During Stack Updates - AWS CloudFormation]
NEW QUESTION # 807
A developer is creating a microservices application that runs across multiple compute environments.
The application must securely access secrets that are stored in AWS Secrets Manager with minimal network latency. The developer wants a solution that reduces the number of direct calls to Secrets Manager and simplifies secrets management across environments. Which solution will meet these requirements with the LEAST operational overhead?
Answer: C
Explanation:
The Secrets Manager Agent provides an out-of-the-box solution for securely caching secrets locally, reducing latency and operational overhead.
* Why Option B is Correct:
* Caching: The agent securely caches secrets locally, minimizing Secrets Manager API calls.
* Security: Secrets remain secure during retrieval and storage.
* Low Operational Overhead: Managed solution eliminates the need for custom logic.
* Why Not Other Options:
* Option A: Custom scripts introduce complexity and require ongoing maintenance.
* Option C: Using Redis requires managing an additional service, increasing overhead.
* Option D: Storing secrets in S3 lacks the fine-grained security controls of Secrets Manager.
NEW QUESTION # 808
An organization is using Amazon CloudFront to ensure that its users experience low-latency access to its web application. The organization has identified a need to encrypt all traffic between users and CloudFront, and all traffic between CloudFront and the web application.
How can these requirements be met? (Select TWO)
Answer: C,E
Explanation:
Explanation
This solution will meet the requirements by ensuring that all traffic between users and CloudFront, and all traffic between CloudFront and the web application, are encrypted using HTTPS protocol. The Origin Protocol Policy determines how CloudFront communicates with the origin server (the web application), and setting it to
"HTTPS Only" will force CloudFront to use HTTPS for every request to the origin server. The Viewer Protocol Policy determines how CloudFront responds to HTTP or HTTPS requests from users, and setting it to
"HTTPS Only" or "Redirect HTTP to HTTPS" will force CloudFront to use HTTPS for every response to users. Option A is not optimal because it will use AWS KMS to encrypt traffic between CloudFront and the web application, which is not necessary or supported by CloudFront. Option C is not optimal because it will set the origin's HTTP port to 443, which is incorrect as port 443 is used for HTTPS protocol, not HTTP protocol. Option E is not optimal because it will enable the CloudFront option Restrict Viewer Access, which is used for controlling access to private content using signed URLs or signed cookies, not for encrypting traffic.
References: [Using HTTPS with CloudFront], [Restricting Access to Amazon S3 Content by Using an Origin Access Identity]
NEW QUESTION # 809
A developer is designing a fault-tolerant environment where client sessions will be saved.
How can the developer ensure that no sessions are lost if an Amazon EC2 instance fails?
Answer: C
NEW QUESTION # 810
A healthcare company uses AWS Amplify to host a patient management system. The system uses Amazon API Gateway to expose RESTful APIs. The backend logic of the system is handled by AWS Lambda functions.
One of the Lambda functions receives patient data that includes personally identifiable information (PII). The Lambda function sends the patient data to an Amazon DynamoDB table. The company must encrypt all patient data at rest and in transit before the data is stored in DynamoDB.
Which solution will meet these requirements?
Answer: D
Explanation:
DynamoDB already supports encryption at rest by default (with AWS owned keys or AWS managed
/customer managed KMS keys). However, the requirement here is stronger and explicit: patient data must be encrypted before it is stored in DynamoDB, meaning the encryption must occur client-side / application-side so that the data remains encrypted as it traverses the stack and is still encrypted when written to the table. This is often required for highly sensitive PII/PHI where administrators or downstream systems should not see plaintext.
Option A meets this requirement by encrypting the payload inside the Lambda function before making the PutItem call to DynamoDB, using KMS-backed envelope encryption via the AWS Encryption SDK (the option names it "Database Encryption SDK," but the intent is client-side encryption). The encrypted fields remain ciphertext in transit to DynamoDB and at rest inside DynamoDB, satisfying both "in transit" and "at rest" with encryption happening prior to storage.
Option B only ensures DynamoDB encryption at rest at the service level, but the data would still be plaintext in the item attributes as seen by the application and anyone with DynamoDB read permissions (even though stored encrypted on disk). It does not guarantee "encrypted before stored." Option C encrypting after the write via streams is too late: plaintext would already be stored (and potentially accessed) before post-processing.
Option D adds unnecessary workflow complexity. Encrypting in a queue still requires encryption before DynamoDB, but it does not inherently simplify compared to encrypting directly in the Lambda that writes to DynamoDB.
Therefore, client-side encryption in Lambda using KMS-backed encryption is the correct solution.
NEW QUESTION # 811
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