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| Section | Weight | Objectives |
|---|---|---|
| Deployment | 24% | - Implement CI/CD pipelines
|
| Development with AWS Services | 32% | - Integrate AWS services into applications
|
| Troubleshooting and Optimization | 18% | - Optimize application performance
|
| Security | 26% | - Secure application data
|
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NEW QUESTION # 745
A developer manages an application that writes customer orders to an Amazon DynamoDB table. The orders use customerId as the partition key, orderId as the sort key, and order_date as an attribute. A new access pattern requires accessing data by order_date and orderId. The developer needs to implement a new AWS Lambda function to support the new access pattern.
How should the developer support the new access pattern in the MOST operationally efficient way?
Answer: A
Explanation:
A global secondary index is the correct way to support a new DynamoDB access pattern that uses a different partition key from the base table. The existing table is keyed by customerId and orderId, but the new Lambda function must query by order_date and orderId. An LSI cannot solve this because an LSI must use the same partition key as the base table and only allows an alternate sort key. A table scan is operationally inefficient and becomes expensive and slow as the table grows. DynamoDB Streams are for change data capture and event-driven processing, not for querying historical records by a new key pattern. A GSI with order_date as the partition key and orderId as the sort key directly supports efficient Query operations.
NEW QUESTION # 746
A developer is building an application that processes a stream of user-supplied data. The data stream must be consumed by multiple Amazon EC2 based processing applications in parallel and in real time. Each processor must be able to resume without losing data if there is a service interruption. The application architect plans to add other processors in the near future, and wants to minimize the amount of data duplication involved.
Which solution will satisfy these requirements?
Answer: B
NEW QUESTION # 747
When using the AWS Encryption SDK how does the developer keep track of the data encryption keys used to encrypt data?
Answer: A
Explanation:
Explanation
This solution will meet the requirements by using AWS Encryption SDK, which is a client-side encryption library that enables developers to encrypt and decrypt data using data encryption keys that are protected by AWS Key Management Service (AWS KMS). The SDK encrypts the data encryption key with a customer master key (CMK) that is managed by AWS KMS, and stores it (encrypted) as part of the returned ciphertext.
The developer does not need to keep track of the data encryption keys used to encrypt data, as they are stored with the encrypted data and can be retrieved and decrypted by using AWS KMS when needed. Option A is not optimal because it will require manual tracking of the data encryption keys used for each data object, which is error-prone and inefficient. Option C is not optimal because it will store the data encryption keys automatically in Amazon S3, which is unnecessary and insecure as Amazon S3 is not designed for storing encryption keys.
Option D is not optimal because it will store the data encryption key in the user data for the EC2 instance, which is also unnecessary and insecure as user data is not encrypted by default.
References: [AWS Encryption SDK], [AWS Key Management Service]
NEW QUESTION # 748
A developer is managing an application that uploads user files to an Amazon S3 bucket named companybucket. The company wants to maintain copies of all the files uploaded by users for compliance purposes, while ensuring users still have access to the data through the application.
Which IAM permissions should be applied to users to ensure they can create but not remove files from the bucket?
Answer: B
Explanation:
To meet the requirement:
* Users must be able to upload (PutObject) and read (GetObject) files but not delete them.
* Option D ensures users cannot delete files by omitting the s3:DeleteObject action while allowing s3:
GetObject and s3:PutObject.
* Option A: Includes s3:DeleteObject, which allows users to delete files and does not meet the requirement.
* Option B: Contains unrelated actions like CreateBucket, which is not relevant here.
* Option C: Adds s3:PutObjectRetention, which is unnecessary and does not restrict DeleteObject.
NEW QUESTION # 749
A developer maintains a legacy ecommerce application that sends logs to an Amazon CloudWatch Logs log group. During an audit, the developer discovers that the application sends credit card numbers and credit card verification codes to the log group.
The developer needs a solution to give support staff the ability to view the logs. However, the support staff must not be able to view the sensitive credit card information. Application administrators must be able to view the logs and must have access to the sensitive credit card data. The developer cannot modify the application code.
Which solution will meet these requirements?
Answer: D
Explanation:
Because the developer cannot change the legacy application code, the solution must apply controls at the logging layer. CloudWatch Logs provides data protection policies that can automatically detect sensitive data using managed data identifiers (including credit card data) and apply masking (de-identification) as log events are ingested. This ensures that sensitive values such as card numbers and verification codes are not displayed in plaintext to general viewers of the log group.
With option A, enabling a data protection policy on the log group and configuring it to mask the relevant credit card data ensures that when support staff query or view logs, the sensitive fields appear redacted.
CloudWatch Logs also supports controlled access to view the original unmasked values through an explicit permission: users who have the appropriate IAM authorization (such as logs:Unmask) can retrieve or view the sensitive data, while everyone else sees only the masked version. Granting logs:Unmask to application administrators satisfies the requirement that administrators can access the sensitive data, while withholding it from support staff enforces the restriction.
Option B (KMS encryption) provides encryption at rest for the log group but does not prevent authorized readers from seeing sensitive data once decrypted. Support staff who can read logs would still see plaintext card data. Option C is not a standard or operationally efficient pattern for CloudWatch Logs redaction; Macie is primarily for discovering sensitive data in S3 and does not serve as the native masking mechanism for CloudWatch Logs ingestion. Option D is not applicable: AWS WAF inspects HTTP requests/responses at the edge or load balancer/API layer, not application log streams already being emitted to CloudWatch.
Therefore, A is the correct solution: use CloudWatch Logs data protection to mask sensitive data by default and grant logs:Unmask only to administrators.
NEW QUESTION # 750
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