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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deployment | 24% | - Infrastructure as code
|
| Topic 2: Development with AWS Services | 32% | - AWS core services development
|
| Topic 3: Security | 26% | - Application authentication and authorization
|
| Topic 4: Troubleshooting and Optimization | 18% | - Performance optimization
|
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NEW QUESTION # 538
A company has many microservices that are comprised of AWS Lambda functions. Multiple teams within the company split ownership of the microservices.
An application reads configuration values from environment variables that are contained in the Lambda functions. During a security audit, the company discovers that some of the environment variables contain sensitive information.
The company's security policy requires each team to have full control over the rotation of AWS KMS keys that the team uses for its respective microservices.
Answer: C
Explanation:
Comprehensive and Detailed Step-by-Step Explanation:
* Customer Managed Keys (CMK) for Granular Control (Option B):
* Customer-managed KMS keys are required to meet the security policy requirement of team- specific control over KMS key rotation. Each team can manage the lifecycle of its own key.
* The kms:Decrypt permission allows the Lambda function execution roles to decrypt the environment variables during runtime.
* This solution adheres to the principle of least privilege and satisfies the need for team-specific key control.
* Why Other Options Are Incorrect:
* Option A:AWS-managed keys cannot provide team-specific control or support the custom rotation policy required by the teams.
* Option C:Adding kms:CreateGrant and kms:Encrypt permissions to Lambda roles is unnecessary for this scenario. The key usage is limited to decryption at runtime.
* Option D:AWS-managed keys still lack team-specific control, and adding kms:CreateGrant and kms:Encrypt is redundant.
NEW QUESTION # 539
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 me S3 bucket in the MOST secure way?
Answer: D
Explanation:
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 # 540
A developer compiles an AWS Lambda function and packages the result as a .zip file. The developer uses the Functions page on the Lambda console to attempt to upload the local packaged .zip file. When pushing the package to Lambda, the console returns the following error:
Which solutions can the developer use to publish the code? (Choose two.)
Answer: A,E
NEW QUESTION # 541
A developer is using AWS CodeDeploy to automate a company's application deployments to Amazon EC2.
Which application specification file properties are required to ensure the software deployments do not fail? (Select TWO.)
Answer: A,B
Explanation:
Comprehensive and Detailed Step-by-Step Explanation:
To ensure successful software deployments using AWS CodeDeploy, the application specification file (appspec.yml or appspec.json) must adhere to specific requirements:
* File Format Requirement (Option B):
* The appspec.yml file is a YAML-formatted file required for defining deployment actions and file locations. This is the modern and recommended format for application specification files.
* It can also be a JSON-formatted file named appspec.json, but YAML is most commonly used and accepted.
* File Placement Requirement (Option D):
* The application specification file must reside in the root directory of the application's source code. This is necessary so that AWS CodeDeploy can detect and use the file during deployment.
* Incorrect Options:
* Option A:While a JSON-formatted file (appspec.json) is valid, this is not a mandatory requirement. YAML is also acceptable, and this option does not account for it.
* Option C:The application specification file is not required to be stored in AWS CodeBuild; it must be included in the source code's directory structure.
* Option E:The application specification file does not need to be stored in Amazon S3. S3 is commonly used for application artifacts, but the appspec.yml or appspec.json file must exist within the deployment package or source code root.
NEW QUESTION # 542
An developer is building a serverless application by using the AWS Serverless Application Model (AWS SAM). The developer is currently testing the application in a development environment. When the application is nearly finsihed, the developer will need to set up additional testing and staging environments for a quality assurance team.
The developer wants to use a feature of the AWS SAM to set up deployments to multiple environments.
Which solution will meet these requirements with the LEAST development effort?
Answer: D
Explanation:
Explanation
The correct answer is A. Add a configuration file in TOML format to group configuration entries to every environment. Add a table for each testing and staging environment. Deploy updates to the environments by using the sam deploy command and the --config-env flag that corresponds to the each environment.
A: Add a configuration file in TOML format to group configuration entries to every environment. Add a table for each testing and staging environment. Deploy updates to the environments by using the sam deploy command and the --config-env flag that corresponds to the each environment. This is correct. This solution will meet the requirements with the least development effort, because it uses a feature of the AWS SAM CLI that supports a project-level configuration file that can be used to configure AWS SAM CLI command parameter values1. The configuration file can have multiple environments, each with its own set of parameter values, such as stack name, region, capabilities, and more2. The developer can use the --config-env option to specify which environment to use when deploying the application3. This way, the developer can avoid creating multiple templates or scripts, or manually overriding parameters for each environment.
B: Create additional AWS SAM templates for each testing and staging environment. Write a custom shell script that uses the sam deploy command and the --template-file flag to deploy updates to the environments.
This is incorrect. This solution will not meet the requirements with the least development effort, because it requires creating and maintaining multiple templates and scripts for each environment. This can introduce duplication, inconsistency, and complexity in the deployment process.
C: Create one AWS SAM configuration file that has default parameters. Perform updates to the testing and staging environments by using the -parameter-overrides flag in the AWS SAM CLI and the parameters that the updates will override. This is incorrect. This solution will not meet the requirements with the least development effort, because it requires manually specifying and overriding parameters for each environment every time the developer deploys the application. This can be error-prone, tedious, and inefficient.
D: Use the existing AWS SAM template. Add additional parameters to configure specific attributes for the serverless function and database table resources that are in each environment. Deploy updates to the testing and staging environments by using the sam deploy command. This is incorrect. This solution will not meet the requirements with the least development effort, because it requires modifying the existing template and adding complexity to the resource definitions for each environment. This can also make it difficult to manage and track changes across different environments.
References:
1: AWS SAM CLI configuration file - AWS Serverless Application Model
2: Configuration file basics - AWS Serverless Application Model
3: Specify a configuration file - AWS Serverless Application Model
NEW QUESTION # 543
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