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AWS Certified Developer - Associate DVA-C02
AWS Certified Developer - Associate DVA-C02 Exam

For a deployment using AWS Code Deploy, what is the run order of the hooks for in-place deployments?

  1. BeforeInstall -> ApplicationStop -> ApplicationStart -> AfterInstall
  2. ApplicationStop -> BeforeInstall -> AfterInstall -> ApplicationStart
  3. BeforeInstall -> ApplicationStop -> ValidateService -> ApplicationStart
  4. ApplicationStop -> BeforeInstall -> ValidateService -> ApplicationStart

Answer(s): B


Reference:

https://docs.aws.amazon.com/codedeploy/latest/userguide/reference-appspec-file-structure-hooks.html#appspec-hooks-server



A company is building a serverless application on AWS. The application uses an AWS Lambda function to process customer orders 24 hours a day, 7 days a week. The Lambda function calls an external vendor's HTTP API to process payments.

During load tests, a developer discovers that the external vendor payment processing API occasionally times out and returns errors. The company expects that some payment processing API calls will return errors.

The company wants the support team to receive notifications in near real time only when the payment processing external API error rate exceed 5% of the total number of transactions in an hour. Developers need to use an existing Amazon Simple Notification Service (Amazon SNS) topic that is configured to notify the support team.

Which solution will meet these requirements?

  1. Write the results of payment processing API calls to Amazon CloudWatch. Use Amazon CloudWatch Logs Insights to query the CloudWatch logs. Schedule the Lambda function to check the CloudWatch logs and notify the existing SNS topic.
  2. Publish custom metrics to CloudWatch that record the failures of the external payment processing API calls. Configure a CloudWatch alarm to notify the existing SNS topic when error rate exceeds the specified rate.
  3. Publish the results of the external payment processing API calls to a new Amazon SNS topic. Subscribe the support team members to the new SNS topic.
  4. Write the results of the external payment processing API calls to Amazon S3. Schedule an Amazon Athena query to run at regular intervals. Configure Athena to send notifications to the existing SNS topic when the error rate exceeds the specified rate.

Answer(s): B

Explanation:

B. Publish custom metrics to CloudWatch that record the failures of the external payment processing API calls. Configure a CloudWatch alarm to notify the existing SNS topic when the error rate exceeds the specified rate is the best solution to meet the requirements.

With CloudWatch custom metrics, developers can publish and monitor custom data points, including the number of failed requests to the external payment processing API. A CloudWatch alarm can be configured to notify an SNS topic when the error rate exceeds the specified rate, allowing the support team to be notified in near real-time.

Option A is not optimal since it involves scheduling a Lambda function to check the CloudWatch logs. Option C may not provide the desired functionality since it does not specify a rate at which to notify the support team. Option D is more complex than necessary, as it involves writing the results to S3 and configuring an Athena query to send notifications to an SNS topic.


Reference:

https://docs.aws.amazon.com/lambda/latest/operatorguide/custom-metrics.html



A company is offering APIs as a service over the internet to provide unauthenticated read access to statistical information that is updated daily. The company uses Amazon API Gateway and AWS Lambda to develop the APIs. The service has become popular, and the company wants to enhance the responsiveness of the APIs.

Which action can help the company achieve this goal?

  1. Enable API caching in API Gateway.
  2. Configure API Gateway to use an interface VPC endpoint.
  3. Enable cross-origin resource sharing (CORS) for the APIs.
  4. Configure usage plans and API keys in API Gateway.

Answer(s): A

Explanation:

A. Enable API caching in API Gateway can help the company enhance the responsiveness of the APIs. By enabling caching, API Gateway stores the responses from the API and returns them for subsequent requests instead of forwarding the requests to Lambda. This reduces the number of requests to Lambda, improves API performance, and reduces latency for users.


Reference:

https://docs.aws.amazon.com/apigateway/latest/developerguide/api-gateway-caching.html



A developer wants to store information about movies. Each movie has a title, release year, and genre. The movie information also can include additional properties about the cast and production crew. This additional information is inconsistent across movies. For example, one movie might have an assistant director, and another movie might have an animal trainer.

The developer needs to implement a solution to support the following use cases:

-For a given title and release year, get all details about the movie that has that title and release year.
-For a given title, get all details about all movies that have that title.
-For a given genre, get all details about all movies in that genre.

Which data store configuration will meet these requirements?

  1. Create an Amazon DynamoDB table. Configure the table with a primary key that consists of the title as the partition key and the release year as the sort key. Create a global secondary index that uses the genre as the partition key and the title as the sort key.
  2. Create an Amazon DynamoDB table. Configure the table with a primary key that consists of the genre as the partition key and the release year as the sort key. Create a global secondary index that uses the title as the partition key.
  3. On an Amazon RDS DB instance, create a table that contains columns for title, release year, and genre. Configure the title as the primary key.
  4. On an Amazon RDS DB instance, create a table where the primary key is the title and all other data is encoded into JSON format as one additional column.

Answer(s): A

Explanation:

Create an Amazon DynamoDB table. Configure the table with a primary key that consists of the title as the partition key and the release year as the sort key. Create a global secondary index that uses the genre as the partition key and the title as the sort key.

This option is the best choice for the given requirements. By using DynamoDB, the developer can store the movie information in a flexible and scalable NoSQL database. The primary key can be set to the title and release year, allowing for efficient retrieval of information about a specific movie. The global secondary index can be created using the genre as the partition key, allowing for efficient retrieval of information about all movies in a specific genre. Additionally, the use of a NoSQL database like DynamoDB allows for the flexible storage of additional properties about the cast and crew, as each movie can have different properties without affecting the structure of the database.




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