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DVA-C01 Exam Dumps - AWS Certified Developer Associate Exam

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Question # 17

A developer is setting up Amazon API gateway for their companyâ€™s products. The API will be registered developers to query and update their environments. The company wants to limit the amount of requests end users send for.bot cost and security reason management wants to offer registered the option of buying larger packages that allow for more requests.

Enable throttling for the API Gateway stage Set a value tor both the rate and burst capacity If a registered larger package, create a stage for them, adjust the values, and share the new URL with them.

Set up Amazon CloudWatch API logging in API Gateway Create a filter based on the user and requestTime fields and create an alarm on this filter Write an AWS Lambda function to analyze the values and requester information, and respond accordingly Set up the function as the target tor the alarm If a registered user chooses a larger package, update the Lambda code with the values

Enable Amazon CloudWatch metrics for the API Gateway stage Set up CloudWatch alarms based oft the Count metric and the ApiName, Method, Resource, and Stage dimensions to alerts when request rates pass the threshold Set the alarm action to Deny If a registered user chooses a larger package, create a user-specific alarm and adjust the values

Set up a default usage plan specify values for the rate and burst capacity, and associate it with a stage If a registered user chooses a larger package, create a custom plan with the appropriate values and associate the plan with the user

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Question # 18

A company has a REST application comprised of an Amazon API Gateway and several AWS Lambda functions. A developer is responding to an alert that the API Gatewayâ€™s HTTP response error rate has unexpectedly increased. The developer must determine must which Lambda function is malfunctioning.

Which method would help the developer make this determination while minimizing delays?

Execute an Amazon Athena query against the API Gateway and Lambda execution logs.

Execute an Amazon CloudWatch Logs Insights query against the API Gateway and Lambda execution logs.

Download the API Gateway and Lambda execution logs from Amazon S3, and perform a line-by-line search against them.

Download the API Gateway and Lambda execution logs from Amazon CloudWatch Events, and perform line-by-line search against them.

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Question # 19

A developer is updating an application deployed on AWS Elastic Beanstalk The new version is incompatible with the old version To successfully deploy the update, a full cutover to the new updated version must be performed on all instances at one time, with the ability to roll back changes in case of a deployment failure in the new version

How can this be performed with the LEAST amount of downtime?

Use the Elastic Beanstalk All at once deployment policy to update all instances simultaneously

Perform an Elastic Beanstalk Rolling with additional batch deployment

Deploy the new version in a new Elastic Beanstalk environment and swap environment URLs

Perform an Elastic Beanstalk Rolling deployment

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Question # 20

A company provides APIs as a service and commits to a service level agreement (SLA) with all its users.

To comply with each SLA, what should the company do?

Enable throttling limits for each method in Amazon API Getaway.

Create a usage plan for each user and request API keys to access the APIs.

Enable API rate limiting in Amazon cognito for each user.

Enable default throttling limits for each stage after deploying the APIs.

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Question # 21

A company is launching an ecommerce website and will host the static data in Amazon S3. The company expects approximately 1 000 transactions per second (TPS) for GET and PUT requests in total. Logging must be enabled to track all requests and must be retained for auditing purposes.

What is the MOST cost-effective solution?

Enable AWS CloudTrail logging for the S3 bucket-level action and create a lifecycle policy to move the data from the log bucket to Amazon S3 Glacier in 90 days

Enable S3 server access logging and create a lifecycle policy to expire the data in 90 days

Enable AWS CloudTrail logging for the S3 bucket-level action and create a lifecycle policy to expire the data in 90 days

Enable S3 server access logging and create a lifecycle policy to move the data to Amazon S3 Glacier in 90 days.

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Question # 22

An application is expected to process many files. Each file takes four minutes to process each AWS Lambda invocation. The Lambda function does not return any important data.

What is the fastest way to process all the files?

First split the files to make them smaller, then process with synchronous RequestResponse Lambda invocations.

Make synchronous RequestResponse Lambda invocations and process the files one by one.

Make asynchronous Event Lambda invocations and process the files in parallel.

First join all the files, then process it all at once with an asynchronous Event Lambda invocation.

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Question # 23

An application is running on an EC2 instance. The Developer wants to store an application metric in Amazon CloudWatch.

What is the best practice for implementing this requirement?

Use the PUT Object API call to send data to an S3 bucket. Use an event notification to invoke a Lambda function to publish data to CloudWatch.

Publish the metric data to an Amazon Kinesis Stream using a PutRecord API call. Subscribe a Lambda function that publishes data to CloudWatch.

Use the CloudWatch PutMetricData API call to submit a custom metric to CloudWatch. Provide the required credentials to enable the API call.

Use the CloudWatch PutMetricData API call to submit a custom metric to CloudWatch. Launch the EC2 instance with the required IAM role to enable the API call.

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Question # 24

An application under development is required to store hundreds of video files. The data must be encrypted within the application prior to storage, with a unique key for each video file.

How should the Developer code the application?

Use the KMS Encrypt API to encrypt the data. Store the encrypted data key and data.

Use a cryptography library to generate an encryption key for the application. Use the encryption key to encrypt the data. Store the encrypted data.

Use the KMS GenerateDataKey API to get a data key. Encrypt the data with the data key. Store the encrypted data key and data.

Upload the data to an S3 bucket using server side-encryption with an AWS KMS key.

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