DVA-C02 Studienmaterialien: AWS Certified Developer - Associate & DVA-C02 Zertifizierungstraining

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Die Amazon DVA-C02 Prüfung ist eine anspruchsvolle Zertifizierungsprüfung, die umfassende Kenntnisse und praktische Erfahrung in der Entwicklung und Wartung von Anwendungen auf AWS erfordert. Die Prüfung besteht aus 65 Multiple-Choice- und Multiple-Response-Fragen, die innerhalb von 130 Minuten beantwortet werden müssen. Die Bestehensnote für die Prüfung beträgt 720 von 1000 Punkten. Nach Bestehen der Prüfung erhalten die Kandidaten die AWS Certified Developer - Associate Zertifizierung, die ihre Kompetenz in der Entwicklung und Wartung von Anwendungen auf AWS demonstriert und ihre Fähigkeiten im schnell wachsenden Bereich des Cloud Computing validiert.

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Amazon AWS Certified Developer - Associate DVA-C02 Prüfungsfragen mit Lösungen (Q430-Q435):

430. Frage
A developer is creating a microservices application that runs across multiple compute environments. The application must securely access secrets that are stored in AWS Secrets Manager with minimal network latency. The developer wants a solution that reduces the number of direct calls to Secrets Manager and simplifies secrets management across environments. Which solution will meet these requirements with the LEAST operational overhead?

A. Install the Secrets Manager Agent in each compute environment. Configure the agent to cache secrets locally. Securely retrieve the secrets from Secrets Manager as needed.
B. Create a custom script that retrieves secrets directly from Secrets Manager and caches the secrets in a local database for each compute environment.
C. Store the secrets in an Amazon S3 bucket. Retrieve and load the secrets as environment variables during application startup for each compute environment.
D. Implement lazy loading logic in the application to fetch secrets directly from Secrets Manager and to cache the secrets in Redis.

Antwort: A

Begründung:
The Secrets Manager Agent provides an out-of-the-box solution for securely caching secrets locally, reducing latency and operational overhead.
* Why Option B is Correct:
* Caching: The agent securely caches secrets locally, minimizing Secrets Manager API calls.
* Security: Secrets remain secure during retrieval and storage.
* Low Operational Overhead: Managed solution eliminates the need for custom logic.
* Why Not Other Options:
* Option A: Custom scripts introduce complexity and require ongoing maintenance.
* Option C: Using Redis requires managing an additional service, increasing overhead.
* Option D: Storing secrets in S3 lacks the fine-grained security controls of Secrets Manager.
Caching Secrets in AWS Secrets Manager

431. Frage
A company is building a serverless application on AWS. The application uses Amazon API Gateway and AWS Lambda. The company wants to deploy the application to its development, test, and production environments.
Which solution will meet these requirements with the LEAST development effort?

A. Use AWS Elastic Beanstalk to deploy the application to the environments.
B. Use API Gateway stage variables and create Lambda aliases to reference environment-specific resources.
C. Duplicate the code for each environment. Deploy the code to a separate API Gateway stage.
D. Use Amazon Elastic Container Service (Amazon ECS) to deploy the application to the environments.

Antwort: B

432. Frage
A company hosts a batch processing application on AWS Elastic Beanstalk with instances that run the most recent version of Amazon Linux. The application sorts and processes large datasets. In recent weeks, the application's performance has decreased significantly during a peak period for traffic. A developer suspects that the application issues are related to the memory usage. The developer checks the Elastic Beanstalk console and notices that memory usage is not being tracked.
How should the developer gather more information about the application performance issues?

A. Configure an Amazon CloudWatch dashboard to track the memory usage of the instances.
B. Configure the Amazon CloudWatch agent to push logs to Amazon CloudWatch Logs by using port 443.
C. Configure the Elastic Beanstalk .ebextensions directory to track the memory usage of the instances.
D. Configure the Amazon CloudWatch agent to track the memory usage of the instances.

Antwort: D

Begründung:
Comprehensive Detailed Explanation with all AWS Reference
To monitor memory usage in Amazon Elastic Beanstalk environments, it's important to understand that default Elastic Beanstalk monitoring capabilities in Amazon CloudWatch do not track memory usage, as memory metrics are not collected by default. Instead, the Amazon CloudWatch agent must be configured to collect memory usage metrics.
Why Option C is Correct:
The Amazon CloudWatch agent can be installed and configured to monitor system-level metrics such as memory and disk utilization.
To enable memory tracking, developers need to install the CloudWatch agent on the Amazon Elastic Compute Cloud (EC2) instances associated with the Elastic Beanstalk environment.
After installation, the agent can be configured to collect memory metrics, which can then be sent to CloudWatch for further analysis.
How to Implement This Solution:
Install the CloudWatch Agent:
Use .ebextensions or AWS Systems Manager to install and configure the CloudWatch agent on the EC2 instances running in the Elastic Beanstalk environment.
Modify CloudWatch Agent Configuration:
Create a config.json file that specifies memory usage tracking and other desired metrics.
Enable Metrics Reporting:
The CloudWatch agent can push the metrics to CloudWatch, where they can be monitored.
Why Other Options are Incorrect:
Option A: Configuring the agent to push logs is not sufficient to track memory metrics. This option addresses logging but not system-level metrics like memory usage.
Option B: The .ebextensions directory is used to customize Elastic Beanstalk environments but does not directly track memory metrics without additional configuration of the CloudWatch agent.
Option D: Configuring a CloudWatch dashboard will only visualize the metrics that are already being collected. It will not enable memory usage tracking.
AWS Documentation Reference:
Amazon CloudWatch Agent Overview
Elastic Beanstalk Customization Using .ebextensions
Monitoring Custom Metrics

433. Frage
A developer has created an AWS Lambda function that makes queries to an Amazon Aurora MySQL DB instance. When the developer performs a test the OB instance shows an error for too many connections.
Which solution will meet these requirements with the LEAST operational effort?

A. Create a read replica for the DB instance Query the replica DB instance instead of the primary DB instance.
B. Create a proxy in Amazon RDS Proxy Query the proxy instead of the DB instance.
C. Migrate the data lo an Amazon DynamoDB database.
D. Configure the Amazon Aurora MySQL DB instance tor Multi-AZ deployment.

Antwort: B

Begründung:
Explanation
This solution will meet the requirements by using Amazon RDS Proxy, which is a fully managed, highly available database proxy for Amazon RDS that makes applications more scalable, more resilient to database failures, and more secure. The developer can create a proxy in Amazon RDS Proxy, which sits between the application and the DB instance and handles connection management, pooling, and routing. The developer can query the proxy instead of the DB instance, which reduces the number of open connections to the DB instance and avoids errors for too many connections. Option A is not optimal because it will create a read replica for the DB instance, which may not solve the problem of too many connections as read replicas also have connection limits and may incur additional costs. Option B is not optimal because it will migrate the data to an Amazon DynamoDB database, which may introduce additional complexity and overhead for migrating and accessing data from a different database service. Option C is not optimal because it will configure the Amazon Aurora MySQL DB instance for Multi-AZ deployment, which may improve availability and durability of the DB instance but not reduce the number of connections.
References: [Amazon RDS Proxy], [Working with Amazon RDS Proxy]

434. Frage
A developer is creating an AWS Lambda function that needs credentials to connect to an Amazon RDS for MySQL database. An Amazon S3 bucket currently stores the credentials. The developer needs to improve the existing solution by implementing credential rotation and secure storage. The developer also needs to provide integration with the Lambda function.
Which solution should the developer use to store and retrieve the credentials with the LEAST management overhead?

A. Store the credentials in AWS Systems Manager Parameter Store. Select the database that the parameter will access. Use the default AWS Key Management Service (AWS KMS) key to encrypt the parameter.
Enable automatic rotation for the parameter. Use the parameter from Parameter Store on the Lambda function to connect to the database.
B. Encrypt the credentials by using AWS Key Management Service (AWS KMS). Store the credentials in an Amazon DynamoDB table. Create a second Lambda function to rotate the credentials. Invoke the second Lambda function by using an Amazon EventBridge rule that runs on a schedule. Update the DynamoDB table. Update the database to use the generated credentials. Retrieve the credentials from DynamoDB with the first Lambda function. Connect to the database.
C. Encrypt the credentials with the default AWS Key Management Service (AWS KMS) key. Store the credentials as environment variables for the Lambda function. Create a second Lambda function to generate new credentials and to rotate the credentials by updating the environment variables of the first Lambda function. Invoke the second Lambda function by using an Amazon EventBridge rule that runs on a schedule. Update the database to use the new credentials. On the first Lambda function, retrieve the credentials from the environment variables. Decrypt the credentials by using AWS KMS, Connect to the database.
D. Store the credentials in AWS Secrets Manager. Set the secret type to Credentials for Amazon RDS database. Select the database that the secret will access. Use the default AWS Key Management Service (AWS KMS) key to encrypt the secret. Enable automatic rotation for the secret. Use the secret from Secrets Manager on the Lambda function to connect to the database.

Antwort: D

Begründung:
AWS Secrets Manager is a service that helps you protect secrets needed to access your applications, services, and IT resources. Secrets Manager enables you to store, retrieve, and rotate secrets such as database credentials, API keys, and passwords. Secrets Manager supports a secret type for RDS databases, which allows you to select an existing RDS database instance and generate credentials for it. Secrets Manager encrypts the secret using AWS Key Management Service (AWS KMS) keys and enables automatic rotation of the secret at a specified interval. A Lambda function can use the AWS SDK or CLI to retrieve the secret from Secrets Manager and use it to connect to the database. Reference: Rotating your AWS Secrets Manager secrets

435. Frage
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