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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deployment | 24% | - Automate deployment testing
|
| Topic 2: Troubleshooting and Optimization | 18% | - Instrument code for observability
|
| Topic 3: Development with AWS Services | 32% | - Develop code for applications hosted on AWS
|
| Topic 4: Security | 26% | - Manage sensitive data in application code
|
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NEW QUESTION # 399
A developer is working on an application that handles 10 MB documents that contain highly sensitive data.
The application will use AWS KMS to perform client-side encryption.
What steps must be followed?
Answer: A
Explanation:
For client-side encryption with AWS KMS, the documented pattern is envelope encryption: you use KMS to generate and protect a data encryption key (DEK), and you use that DEK locally to encrypt the actual data. This is the correct approach for large payloads (such as 10 MB documents), because the KMS Encrypt API is intended for encrypting small amounts of data (KMS is not designed to directly encrypt multi- megabyte application payloads).
With envelope encryption, the application calls GenerateDataKey on AWS KMS, specifying the KMS key (customer managed key) to use. KMS returns two versions of the DEK in the response:
* a plaintext DEK (usable immediately by the application for local cryptographic operations), and
* a ciphertext (encrypted) DEK that is encrypted under the specified KMS key.
The application then uses the plaintext DEK to encrypt the 10 MB document on the client side (for example, using an authenticated encryption mode such as AES-GCM via a standard crypto library). After encryption completes, the application must not persist the plaintext DEK; instead, it stores the encrypted document alongside the ciphertext DEK. Later, to decrypt, the application sends the ciphertext DEK to KMS using Decrypt to recover the plaintext DEK, and then decrypts the document locally.
Therefore, option D is correct because it explicitly uses GenerateDataKey and the plaintext DEK to encrypt the data, which is the required envelope-encryption flow. Options A, B, and C do not follow the correct KMS envelope-encryption process for large client-side payloads.
NEW QUESTION # 400
A developer is migrating some features from a legacy monolithic application to use AWS Lambda functions instead. The application currently stores data in an Amazon Aurora DB cluster that runs in private subnets in a VPC. The AWS account has one VPC deployed. The Lambda functions and the DB cluster are deployed in the same AWS Region in the same AWS account.
The developer needs to ensure that the Lambda functions can securely access the DB cluster without crossing the public internet.
Which solution will meet these requirements?
Answer: A
Explanation:
This solution will meet the requirements by allowing the Lambda functions to access the DB cluster securely within the same VPC without crossing the public internet. The developer can configure a VPC endpoint for RDS in a private subnet and assign it to the Lambda functions. The developer can also configure a security group forthe Lambda functions that allows inbound traffic from the DB cluster on port 3306 (MySQL).
Option A is not optimal because it will expose the DB cluster to public access, which may compromise its security and data integrity. Option B is not optimal because it will introduce additional latency and complexity to use an RDS database proxy for accessing the DB cluster from Lambda functions within the same VPC. Option C is not optimal because it will require additional costs and configuration to use a NAT gateway for accessing resources in private subnets from Lambda functions.
NEW QUESTION # 401
A developer runs an application that displays scores for sports games on Amazon EC2 instances. The application uses a Redis client to retrieve the scores from an Amazon ElastiCache (Redis OSS) cluster.
The developer observes increased latency during operations on the cache because of connection failures to the cluster. The developer needs to resolve the latency issues.
Answer: C
Explanation:
* Why Option C is Correct:Implementing a connection pool in the Redis client reduces connection overhead and avoids frequent connection establishment, which helps to reduce latency and connection failures.
* Why Other Options are Incorrect:
* Option A: Exponential backoff retry strategies help with transient failures but do not resolve latency caused by frequent connection establishment.
* Option B: Storing scores in application memory adds complexity and risks inconsistency.
* Option D: Adding more nodes is unnecessary unless the cluster is under heavy load. Latency due to connection failures is better addressed at the application level.
* AWS Documentation References:
* Amazon ElastiCache Best Practices
NEW QUESTION # 402
A company wants to make sure that only one user from its Admin group has the permanent right to delete an Amazon EC2 resource. There should be no changes in the existing policy under the Admin group. What should a developer use to meet these requirements?
Answer: B
Explanation:
An inline policy can be attached directly to a specific IAM user, granting that individual exclusive permissions without modifying the existing Admin group policy. This ensures only that one user has the permanent right to delete the EC2 resource while keeping the group policy unchanged.
NEW QUESTION # 403
A developer is writing an application, which stores data in an Amazon DynamoDB table. The developer wants to query the DynamoDB table by using the partition key and a different sort key value. The developer needs the latest data with all recent write operations.
How should the developer write the DynamoDB query?
Answer: D
NEW QUESTION # 404
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