DVA-C02최신업데이트버전인증덤프 & DVA-C02완벽한덤프문제자료

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근 몇년간IT산업이 전례없이 신속히 발전하여 IT업계에 종사하는 분들이 여느때보다 많습니다. 경쟁이 이와같이 치열한 환경속에서 누구도 대체할수 없는 자기만의 자리를 찾으려면 IT인증자격증취득은 무조건 해야 하는것이 아닌가 싶습니다. Amazon인증 DVA-C02시험은 IT인증시험중 가장 인기있는 시험입니다. DumpTOP에서는 여러분이Amazon인증 DVA-C02시험을 한방에 패스하도록 실제시험문제에 대비한Amazon인증 DVA-C02덤프를 발췌하여 저렴한 가격에 제공해드립니다.시험패스 못할시 덤프비용은 환불처리 해드리기에 고객님께 아무런 페를 끼치지 않을것입니다.
Amazon DVA-C02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Topic 1: Security | 26% | - Application authentication and authorization
- 1. Cognito user authentication
- 2. IAM roles and policies
- Data security
- 1. Secure API access patterns
- 2. Encryption using AWS KMS
|
| Topic 2: Deployment | 24% | - CI/CD and deployment strategies
- 1. AWS CodePipeline workflows
- 2. AWS CodeBuild and CodeDeploy usage
- Infrastructure as code
- 1. AWS CloudFormation templates
|
| Topic 3: Development with AWS Services | 32% | - AWS core services development
- 1. AWS Lambda functions development
- 2. Amazon S3 usage in applications
- 3. Amazon DynamoDB integration patterns
- Application development and integration
- 1. API Gateway and REST APIs
- 2. Event-driven architectures with SNS/SQS
|
| Topic 4: Troubleshooting and Optimization | 18% | - Performance optimization
- 1. Fault tolerance and resilience patterns
- 2. Application performance tuning
- Monitoring and logging
- 1. Amazon CloudWatch metrics and logs
|
>> DVA-C02최신 업데이트버전 인증덤프 <<
Amazon DVA-C02완벽한 덤프문제자료 - DVA-C02시험대비 덤프문제
지금21세기 IT업계가 주목 받고 있는 시대에 그 경쟁 또한 상상할만하죠, 당연히 it업계 중Amazon DVA-C02인증시험도 아주 인기가 많은 시험입니다. 응시자는 매일매일 많아지고 있으며, 패스하는 분들은 관련it업계에서 많은 지식과 내공을 지닌 분들뿐입니다.
최신 AWS Certified Associate DVA-C02 무료샘플문제 (Q554-Q559):
질문 # 554
A company wants to share information with a third party. The third party has an HTTP API endpoint that the company can use to share the information. The company has the required API key to access the HTTP API.
The company needs a way to manage the API key by using code. The integration of the API key with the application code cannot affect application performance.
Which solution will meet these requirements MOST securely?
- A. Store the API credentials in AWS Secrets Manager. Retrieve the API credentials at runtime by using the AWS SDK. Use the credentials to make the API call.
- B. Store the API credentials in a local code variable. Push the code to a secure Git repository. Use the local code variable at runtime to make the API call.
- C. Store the API credentials in an Amazon DynamoDB table. Restrict access to the table by using resource- based policies. Retrieve the API credentials at runtime by using the AWS SDK. Use the credentials to make the API call.
- D. Store the API credentials as an object in a private Amazon S3 bucket. Restrict access to the S3 object by using IAM policies. Retrieve the API credentials at runtime by using the AWS SDK. Use the credentials to make the API call.
정답:A
설명:
AWS Secrets Manager is a service that helps securely store, rotate, and manage secrets such as API keys, passwords, and tokens. The developer can store the API credentials in AWS Secrets Manager and retrieve them at runtime by using the AWS SDK. This solution will meet the requirements of security, code management, and performance. Storing the API credentials in a local code variable or an S3 object is not secure, as it exposes the credentials to unauthorized access or leakage. Storing the API credentials in a DynamoDB table is also not secure, as it requires additional encryption and access control measures.
Moreover, retrieving the credentials from S3 or DynamoDB may affect application performance due to network latency.
질문 # 555
A developer is building an AWS Step Functions state machine that invokes an AWS Lambda function. The Lambda function makes requests to an external API that sometimes is not available. The developer needs to implement retry logic in the state machine to handle situations when the external API is not available. Which combination of steps will meet these requirements?
(Choose two.)
- A. Add a retrier to the state machine. Configure values for the ErrorEquals, RetrierDeliveryDelay, MaxAttempts, and BackoffRate fields.
- B. Add a catcher to the state machine. Configure values for the DeliveryDelay and Errors fields.
- C. Add a tailback state to the state machine. Configure values for the Interval, MaxAttempts, and BackoffRate fields.
- D. Add a catcher to the state machine. Configure values for the FallbackState and Errors fields.
- E. Add a retrier to the state machine. Configure values for the ErrorEquals, Interval, MaxAttempts, and BackoffRate fields.
정답:D,E
설명:
A retrier with the parameters ErrorEquals, IntervalSeconds, MaxAttempts, and BackoffRate implements retry logic for transient failures.
A catcher with the parameters FallbackState and Errors handles errors after retries fail by routing to a fallback state for error handling or compensation.
질문 # 556
A developer is building an application on AWS. The application includes an AWS Lambda function that processes messages from an Amazon Simple Queue Service (Amazon SQS) queue.
The Lambda function sometimes fails or times out. The developer needs to figure out why the Lambda function fails to process some messages.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Increase the visibility timeout of the SQS queue. Check logs in Amazon CloudWatch Logs for error details.
- B. Create a dead-letter queue. Configure the Lambda function to send the failed messages to the dead-letter queue.
- C. Create an Amazon DynamoDB table. Update the Lambda function to send the failed messages to the DynamoDB table.
- D. Increase the maximum timeout of the Lambda function to 15 minutes. Check the AWS CloudTrail event history for error details.
정답:B
설명:
https://aws.amazon.com/blogs/compute/implementing-aws-lambda-error-handling-patterns/
질문 # 557
An application is processing clickstream data using Amazon Kinesis. The clickstream data feed into Kinesis experiences periodic spikes. The PutRecords API call occasionally fails and the logs show that the failed call returns the response shown below:

Which techniques will help mitigate this exception? (Choose two.)
- A. Use Amazon SNS instead of Kinesis.
- B. Reduce the number of KCL consumers.
- C. Reduce the frequency and/or size of the requests.
- D. Implement retries with exponential backoff.
- E. Use a PutRecord API instead of PutRecords.
정답:C,D
설명:
ProvisionedThroughputExceededException: The request rate for the stream is too high, or the requested data is too large for the available throughput. Reduce the frequency or size of your requests.
https://docs.aws.amazon.com/kinesis/latest/APIReference/API_PutRecords.html
질문 # 558
An application ingests data from an Amazon Kinesis data stream. The shards in the data stream are set for normal traffic.
During tests for peak traffic, the application ingests data slowly. A developer needs to adjust the data stream to handle the peak traffic.
What should the developer do to meet this requirement MOST cost-effectively?
- A. Decrease the amount of time that data is kept in the data stream by using the DecreaseStreamRetention Period API operation.
- B. Switch to on-demand capacity mode for the data stream. Specify a partition key when writing data to the data stream.
- C. Install the Kinesis Producer Library {KPL) to ingest data into the data stream.
- D. Increase the shard count in the data stream by using the UpdateShardCount API operation.
정답:D
질문 # 559
......
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