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Free AWS-CERTIFIED-DEVELOPER-ASSOCIATE Exam Braindumps (page: 3)

Page 2 of 116
PDF with 557 Questions

A developer has created an AWS Lambda function that is written in Python. The Lambda function reads data from objects in Amazon S3 and writes data to an Amazon DynamoDB
table. The function is successfully invoked from an S3 event notification when an object is created. However, the function fails when it attempts to write to the
DynamoDB table.
What is the MOST likely cause of this issue?

  1. The Lambda function's concurrency limit has been exceeded.
  2. DynamoDB table requires a global secondary index (GSI) to support writes.
  3. The Lambda function does not have IAM permissions to write to DynamoDB.
  4. The DynamoDB table is not running in the same Availability Zone as the
    Lambda function.

Answer(s): C



A developer is creating an AWS CloudFormation template to deploy Amazon EC2
instances across multiple AWS accounts. The developer must choose the EC2 instances from a list of approved instance types.
How can the developer incorporate the list of approved instance types in the CloudFormation template?

  1. Create a separate CloudFormation template for each EC2 instance type in the list.
  2. In the Resources section of the CloudFormation template, create resources for each EC2 instance type in the list.
  3. In the CloudFormation template, create a separate parameter for each EC2
    instance type in the list.
  4. In the CloudFormation template, create a parameter with the list of EC2
    instance types as AllowedValues.

Answer(s): D



A developer has an application that makes batch requests directly to Amazon DynamoDB
by using the BatchGetItem low-level API operation. The responses frequently return values in the UnprocessedKeys element.
Which actions should the developer take to increase the resiliency of the application when the batch response includes values in UnprocessedKeys? (Choose two.)

  1. Retry the batch operation immediately.
  2. Retry the batch operation with exponential backoff and randomized delay.
  3. Update the application to use an AWS software development kit (AWS SDK) to make the requests.
  4. Increase the provisioned read capacity of the DynamoDB tables that the operation accesses.
  5. Increase the provisioned write capacity of the DynamoDB tables that the operation accesses.

Answer(s): B,D



A company is running a custom application on a set of on-premises Linux servers that are accessed using Amazon API Gateway. AWS X-Ray tracing has been enabled on the API
test stage.
How can a developer enable X-Ray tracing on the on-premises servers with the LEAST amount of configuration?

  1. Install and run the X-Ray SDK on the on-premises servers to capture and relay the data to the X-Ray service.
  2. Install and run the X-Ray daemon on the on-premises servers to capture and relay the data to the X-Ray service.
  3. Capture incoming requests on-premises and configure an AWS Lambda function to pull, process, and relay relevant data to X-Ray using the
    PutTraceSegments API call.
  4. Capture incoming requests on-premises and configure an AWS Lambda function to pull, process, and relay relevant data to X-Ray using the
    PutTelemetryRecords API call.

Answer(s): B






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