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要通過 AWS Certified Developer - Associate 考試,考生必須展示他們在使用 AWS 服務(如 AWS Lambda、Amazon API Gateway、Amazon S3、Amazon DynamoDB 和 AWS Elastic Beanstalk)設計、開發和部署基於雲的應用程序方面的熟練程度。考試還涵蓋 AWS SDK、AWS CLI 和 AWS CloudFormation 等主題。通過此考試不僅驗證考生的技能和知識,還表明他們對自己的職業有承諾,並願意與最新的技術和行業趨勢保持同步。總的來說,AWS Certified Developer - Associate 考試是開發人員提高職業前景並在就業市場上更具競爭力的一個很好的方式。
最新的 AWS Certified Developer AWS-Certified-Developer-Associate 免費考試真題 (Q23-Q28):
問題 #23
A company has an application that logs all information to Amazon S3. Whenever there is a new log file, an AWS Lambda function is invoked to process the log files. The code works, gathering all of the necessary information. However, when checking the Lambda function logs, duplicate entries with the same request ID are found.
What is causing the duplicate entries?
- A. The S3 bucket name was specified incorrectly.
- B. There was an S3 outage, which caused duplicate entries of the sale log file.
- C. The application stopped intermittently and then resumed.
- D. The Lambda function failed, and the Lambda service retired the invocation with a delay.
答案:D
解題說明:
https://docs.aws.amazon.com/lambda/latest/dg/API_Invoke.html
問題 #24
A Developer has implemented a Lambda function that needs to add new customers to an RDS database that is expected to run hundreds of times per hour. The Lambda function is configured to use 512MB of RAM and is based on the following pseudo code:
After testing the Lambda function, the Developer notices that the Lambda execution time is much longer than expected. What should the Developer do to improve performance?
- A. Increase the size of the RDS database to allow for an increased number of database connections each hour.
- B. Increase the amount of RAM allocated to the Lambda function, which will increase the number of threads the Lambda can use.
- C. Replace RDS wit Amazon DynamoDB to implement control over the number of writes per second.
- D. Move the database connection and close statement out of the handler. Place the connection in the global space.
答案:D
解題說明:
Explanation
Refer AWS documentation - Lambda Best Practices
Take advantage of Execution Context reuse to improve the performance of your function. Make sure any externalized configuration or dependencies that your code retrieves are stored and referenced locally after initial execution. Limit the re-initialization of variables/objects on every invocation. Instead use static initialization/constructor, global/static variables and singletons. Keep alive and reuse connections (HTTP, database, etc.) that were established during a previous invocation.
問題 #25
An application has hundreds of users. Each user may use multiple devices to access the application. The Developer wants to assign unique identifiers to these users regardless of the device they use.
Which of the following methods should be used to obtain unique identifiers?
- A. Use IAM-generated access key IDs for the users as the unique identifier, but do not store secret keys.
- B. Implement developer-authenticated identities by using Amazon Cognito, and get credentials for these identities.
- C. Create a user table in Amazon DynamoDB as key-value pairs of users and their devices. Use these keys as unique identifiers.
- D. Assign IAM users and roles to the users. Use the unique IAM resource ID as the unique identifier.
答案:B
問題 #26
A Development team would like to migrate their existing application code from a GitHub repository to AWS CodeCommit.
What needs to be created before they can migrate a cloned repository to CodeCommit over HTTPS?
- A. A public and private SSH key file
- B. A set of Git credentials generated from IAM
- C. A GitHub secure authentication token
- D. An Amazon EC2 IAM role with CodeCommit permissions
答案:B
解題說明:
https://docs.aws.amazon.com/codecommit/latest/userguide/how-to-migrate-repository-existing.html
問題 #27
A user has launched 10 instances from the same AMI ID using Auto Scaling. The user is trying to see the average CPU utilization across all instances of the last 2 weeks under the CloudWatch console. How can the user achieve this?
- A. Aggregate the data over the instance AMI ID
- B. The user has to use the CloudWatchanalyser to find the average data across instances
- C. View the Auto Scaling CPU metrics
- D. It is not possible to see the average CPU utilization of the same AMI ID since the instance ID is different
答案:C
問題 #28
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