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Amazon AWS Certified Developer - Associate Sample Questions (Q195-Q200):
NEW QUESTION # 195
A developer is creating a serverless application that uses an AWS Lambda function The developer will use AWS CloudFormation to deploy the application The application will write logs to Amazon CloudWatch Logs The developer has created a log group in a CloudFormation template for the application to use The developer needs to modify the CloudFormation template to make the name of the log group available to the application at runtime Which solution will meet this requirement?
- A. Pass the log group's name to the application in the user data section of the CloudFormation template.
- B. Use the CloudFormation template's Mappings section to specify the log group's name for the application.
- C. Use the AWS:lnclude transform in CloudFormation to provide the log group's name to the application
- D. Pass the log group's Amazon Resource Name (ARN) as an environment variable to the Lambda function
Answer: D
Explanation:
CloudFormation and Lambda Environment Variables:
CloudFormation is an excellent tool to manage infrastructure as code, including the log group resource.
Lambda functions can access environment variables at runtime, making them a suitable way to pass configuration information like the log group ARN.
CloudFormation Template Modification:
In your CloudFormation template, define the log group resource.
In the Lambda function resource, add an Environment section:
YAML
Environment:
Variables:
LOG_GROUP_ARN: !Ref LogGroupResourceName
Use code with caution.
content_copy
The !Ref intrinsic function retrieves the log group's ARN, which CloudFormation generates during stack creation.
Using the ARN in Your Lambda Function:
Within your Lambda code, access the LOG_GROUP_ARN environment variable.
Configure your logging library (e.g., Python's logging module) to send logs to the specified log group.
Reference:
AWS Lambda Environment Variables: https://docs.aws.amazon.com/lambda/latest/dg/configuration-envvars.html CloudFormation !Ref Intrinsic Function: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/intrinsic-function-reference-ref.html
NEW QUESTION # 196
A developer uses AWS CloudFormation to deploy an Amazon API Gateway API and an AWS Step Functions state machine The state machine must reference the API Gateway API after the CloudFormation template is deployed The developer needs a solution that uses the state machine to reference the API Gateway endpoint.
Which solution will meet these requirements MOST cost-effectively?
- A. Configure the CloudFormation template to store the API endpoint in an environment variable for the AWS::StepFunctions::StateMachine resourc Configure the state machine to reference the environment variable
- B. Configure the CloudFormation template to reference the API endpoint in the DefinitionSubstitutions property for the AWS StepFunctions StateMachme resource.
- C. Configure the CloudFormation template to store the API endpoint in a standard AWS::AppConfig;:
ConfigurationProfile resource Configure the state machine to reference
the resource. - D. Configure the CloudFormation template to store the API endpoint in a standard AWS: SecretsManager Secret resource Configure the state machine to reference the resource
Answer: B
Explanation:
* CloudFormation and Dynamic References: The DefinitionSubstitutions property in CloudFormation allows you to pass values into Step Functions state machines at runtime.
* Cost-Effectiveness: This solution is cost-effective as it leverages CloudFormation's built-in capabilities, avoiding the need for additional services like Secrets Manager or AppConfig.
References:
* AWS Step Functions State Machine: https://docs.aws.amazon.com/AWSCloudFormation/latest
/UserGuide/aws-resource-stepfunctions-statemachine.html
* CloudFormation DefinitionSubstitutions: https://github.com/aws-cloudformation/aws-cloudformation- resource-providers-stepfunctions/issues/14
NEW QUESTION # 197
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?
- A. Configure an Amazon RDS database proxy for he Lambda functions.
- B. Configure the DB cluster's public access setting to Yes.
- C. Configure a NAT gateway and a security group for the Lambda functions.
- D. Configure the VPC, subnets, and a security group for the Lambda functions.
Answer: D
Explanation:
NATGateway is for when we want Lambda to access the public when it is in a private VPC.
https://docs.aws.amazon.com/lambda/latest/dg/foundation-networking.html
NEW QUESTION # 198
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?
- 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.
- 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.
- C. 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.
- D. 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.
Answer: A
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 # 199
A developer is building an application that stores objects in an Amazon S3 bucket. The bucket does not have versioning enabled. The objects are accessed rarely after 1 week. However, the objects must be immediately available at all times. The developer wants to optimize storage costs for the S3 bucket.
Which solution will meet this requirement?
- A. Create an S3 Lifecycle rule to delete objects that have delete markers.
- B. Create an S3 Lifecycle rule to transition objects to S3 Glacier Flexible Retrieval after 7 days.
- C. Create an S3 Lifecycle rule to expire objects after 7 days.
- D. Create an S3 Lifecycle rule to transition objects to S3 Standard-Infrequent Access (S3 Standard-IA) after 7 days.
Answer: D
NEW QUESTION # 200
......
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