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| Section | Weight | Objectives |
|---|---|---|
| Security | 26% | - Data security
|
| Troubleshooting and Optimization | 18% | - Performance optimization
|
| Deployment | 24% | - CI/CD and deployment strategies
|
| Development with AWS Services | 32% | - Application development and integration
|
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NEW QUESTION # 765
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 # 766
A developer is building a multi-tenant application using AWS Lambda, Amazon S3, and Amazon DynamoDB. Each S3 object prefix represents a tenant name, and DynamoDB uses the tenant name as the partition key.
The developer must prevent cross-tenant data access during processing.
Which combination of actions will meet this requirement? (Select THREE.)
Answer: A,C,F
Explanation:
Comprehensive and Detailed Explanation (250-300 words):
AWS best practices for multi-tenant isolation recommend session-based access control using IAM session tags. Session tags allow temporary credentials to be scoped dynamically based on tenant context.
First, the data access role must allow sts:TagSession (Option A) so tenant identifiers can be passed securely at runtime. The Lambda function assumes this role and includes the tenant name as a session tag (Option F).
Next, IAM policies on the data access role restrict access to S3 object prefixes and DynamoDB partition keys by evaluating the session tag (Option C). This ensures that even if a bug occurs, the role cannot access data belonging to another tenant.
Resource-based DynamoDB policies and RCPs are unnecessary here and add complexity.
This approach follows AWS's recommended attribute-based access control (ABAC) model and provides strong tenant isolation with minimal operational overhead.
NEW QUESTION # 767
A company runs an AWS CodeBuild project on medium-sized Amazon EC2 instances. The company wants to cost optimize the project and reduce the provisioning time.
Answer: D
Explanation:
Comprehensive and Detailed Step-by-Step
Option D: Set up Amazon S3 Caching for CodeBuild:
CodeBuild supports S3 caching to store intermediate build artifacts and dependencies. This reduces the time required to download dependencies during subsequent builds, effectively lowering costs and improving build performance.
By using S3 caching, developers can optimize costs without changing the compute type or adding complexity.
Why Other Options Are Incorrect:
Option A: CodeBuild does not have a "reserved capacity fleet" option.
Option B: AWS Lambda cannot be used as the compute mode for CodeBuild projects. CodeBuild uses its own managed build environments.
Option C: CodeBuild already operates on an on-demand basis, so this does not address the need for optimization or reduced provisioning time.
Reference:
AWS CodeBuild Caching Documentation
NEW QUESTION # 768
An application uses Amazon API Gateway integrated with an AWS Lambda function. Some API requests return HTTP 504 (Gateway Timeout) errors.
The Lambda function timeout is set to 20 seconds . The API Gateway integration timeout is 15 seconds .
There are no errors in the Lambda logs.
Which solution will prevent the HTTP 504 errors?
Answer: B
Explanation:
Amazon API Gateway has a hard integration timeout that determines how long it waits for a backend response. If the backend (Lambda) does not respond within this time, API Gateway returns an HTTP 504 error to the client.
In this scenario, the Lambda function timeout is longer (20 seconds) than the API Gateway integration timeout (15 seconds). AWS documentation states that API Gateway will terminate the request once its timeout is exceeded, even if Lambda continues executing successfully. This explains why there are no Lambda errors despite 504 responses.
Increasing the Lambda timeout (Option B) does not help because API Gateway times out first. Reserved concurrency (Option A) and throttling limits (Option D) are unrelated to request duration.
The correct solution is to increase the API Gateway integration timeout so that it exceeds the maximum expected Lambda execution time. This ensures API Gateway waits long enough for the Lambda response.
Therefore, increasing the API Gateway timeout prevents HTTP 504 errors.
NEW QUESTION # 769
A company runs a serverless application on AWS. The application includes an AWS Lambda function. The Lambda function processes data and stores the data in an Amazon RDS for PostgreSQL database. A developer created user credentials in the database for the application.
The developer needs to use AWS Secrets Manager to manage the user credentials. The password must be rotated on a regular basis. The solution needs to ensure that there is high availability and no downtime for the application during secret rotation.
What should the developer do to meet these requirements?
Answer: B
Explanation:
To rotate database credentials without downtime, Secrets Manager recommends the alternating users (dual user) rotation strategy. With a single-user strategy, Secrets Manager changes the password for the same database user that the application is actively using. If the application continues using cached/old credentials during rotation, authentication failures and downtime can occur.
With the alternating users strategy, two database users exist (often named something like appuser and appuser_clone). Secrets Manager alternates which user is "active" in the secret. During rotation, Secrets Manager updates the inactive user's password, verifies it, updates the secret to point to the newly updated user, and then (optionally) retires the old credentials. This approach minimizes disruption because there is always one known-good credential set while the other is being updated.
The question specifically requires regular rotation using Secrets Manager. That is achieved by enabling automatic rotation on the secret with a schedule (for example, every 30/60/90 days). Automatic rotation invokes the rotation Lambda (AWS-provided or configured) and performs the workflow without manual intervention.
Option D combines both requirements: automatic rotation plus the alternating users strategy for high availability and no downtime.
Option B mentions alternating users but "managed rotation" is not the standard term used in these choices as the primary differentiator-automatic rotation is the necessary capability to rotate regularly without manual effort.
Options A and C (single user) are more likely to cause downtime during rotation.
Therefore, configure automatic rotation with the alternating users rotation strategy.
NEW QUESTION # 770
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