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AWS認定開発者 - アソシエイト認定を獲得するには、候補者はDVA -C02試験に合格する必要があります。この試験は、AWSコアサービス、AWSデータベース、AWSセキュリティ、AWS展開、AWSのトラブルシューティングなど、さまざまなトピックをカバーする複数選択および複数の応答の質問で構成されています。試験期間は130分で、合格スコアは1000のうち720です。

DVA-C02試験を受験するには、候補者はAWSベースのアプリケーションを開発する経験が少なくとも1年あり、AWSサービスとアーキテクチャについての確固たる理解を持っている必要があります。また、AWS開発で一般的に使用されるプログラミング言語のうち少なくとも1つの経験を持ち、AWS開発者ツールにも精通している必要があります。

>> DVA-C02問題例 <<

便利なDVA-C02問題例試験-試験の準備方法-正確的なDVA-C02日本語資格取得

DVA-C02学習教材は、試験にすばやく合格し、希望する証明書を取得するのに役立ちます。その後、あなたは良い仕事を得るためにもう一つのチップを持っています。 DVA-C02学習教材を使用すると、より高い出発点に立って、DVA-C02試験に他の人よりも一歩早く合格し、他の人よりも早くチャンスを活用できます。このペースの速い社会では、あなたの時間はとても貴重です。 1人の力だけに頼る場合、あなたが優位に立つことは困難です。 DVA-C02の学習に関する質問は、最も満足のいくアシスタントになります。

Amazon DVA-C02試験は、AWS開発に関連する広範なトピックをカバーしています。この試験は、EC2、S3、RDS、DynamoDB、LambdaなどのAWSコアサービス、API Gateway、CloudFront、CloudFormation、CloudWatchなどのその他のサービス、AWSセキュリティ、展開、トラブルシューティングなどのトピックをテストします。試験に合格するには、これらすべての領域で熟練度を示す必要があります。

Amazon AWS Certified Developer - Associate 認定 DVA-C02 試験問題 (Q487-Q492):

質問 # 487
A healthcare company develops a patient monitoring application that uses AWS AppSync and an AWS Lambda function. The application stores patient data in an Amazon DynamoDB database. The application processes real-time patient vital signs from thousands of IoT devices. The application must support queries from medical staff who access patient historical data. A developer notices significant latency when medical staff query patient histories, specifically for frequently-accessed records of patients currently under observation. The developer observes that the Lambda functions are consuming high read capacity units (RCUs) from DynamoDB. The developer needs to optimize the application ' s performance and maintain data consistency. Which solution will meet these requirements?

正解:D

解説:
For frequently accessed data that causes high RCUs and latency in DynamoDB, ElastiCache (Redis or Memcached) is the recommended solution. It sits in front of DynamoDB as a high-speed, in-memory cache.
Implementing a " Cache-Aside " or " Read-Through " pattern reduces the load on DynamoDB and provides sub-millisecond response times for queries. Invalidation ensures that when vital signs are updated, the cache is refreshed, maintaining data consistency.


質問 # 488
A company runs a batch processing application by using AWS Lambda functions and Amazon API Gateway APIs with deployment stages for development, user acceptance testing and production A development team needs to configure the APIs in the deployment stages to connect to third-party service endpoints.
Which solution will meet this requirement?

正解:A

解説:
API Gateway Stage Variables: These are designed for configuring dynamic values for your APIs in different deployment stages (dev, test, prod). Here's how to use them for third-party endpoints:
In the API Gateway console, access the "Stages" section of your API.
For each stage, create a stage variable named something like thirdPartyEndpoint.
Set the value of this variable to the actual endpoint URL for that specific environment.
When configuring API requests within your API Gateway method, reference this endpoint using ${stageVariables.thirdPartyEndpoint}.
Why Stage Variables Excel Here:
Environment Isolation: This approach keeps the endpoint configuration specific to each deployment stage, ensuring the right endpoints are used during development, testing, and production cycles.
Ease of Management: You manage the endpoints directly through the API Gateway console without additional infrastructure.
Reference:
Amazon API Gateway Stage Variables: https://docs.aws.amazon.com/apigateway/latest/developerguide/stage-variables.html


質問 # 489
A company has an online web application that includes a product catalog. The catalog is stored in an Amazon S3 bucket that is named DOC-EXAMPLE-BUCKET. The application must be able to list the objects in the S3 bucket and must be able to download objects through an IAM policy.
Which policy allows MINIMUM access to meet these requirements?

正解:B


質問 # 490
A developer is working on an ecommerce website The developer wants to review server logs without logging in to each of the application servers individually. The website runs on multiple Amazon EC2 instances, is written in Python, and needs to be highly available How can the developer update the application to meet these requirements with MINIMUM changes?

正解:A

解説:
* Centralized Logging Benefits: Centralized logging is essential for operational visibility in scalable systems, especially those using multiple EC2 instances like our e-commerce website. CloudWatch provides this capability, along with other monitoring features.
* CloudWatch Agent: This is the best way to send custom application logs from EC2 instances to CloudWatch. Here's the process:
* Install the CloudWatch agent on each EC2 instance.
* Configure the agent with a configuration file, specifying:
* Which log files to collect.
* The format in which to send logs to CloudWatch (e.g., JSON).
* The specific CloudWatch Logs log group and log stream for these logs.
* Viewing and Analyzing Logs: Once the agent is pushing logs, use the CloudWatch Logs console or API:
* View and search the logs across all instances.
* Set up alarms based on log events.
* Use CloudWatch Logs Insights for sophisticated queries and analysis.
References:
* Amazon CloudWatch Logs: https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs
/WhatIsCloudWatchLogs.html
* Unified CloudWatch Agent: https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs
/AgentReference.html
* CloudWatch Logs Insights: https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs
/AnalyzingLogData.html


質問 # 491
A developer is building a microservices-based application by using Python on AWS and several AWS services The developer must use AWS X-Ray The developer views the service map by using the console to view the service dependencies. During testing, the developer notices that some services are missing from the service map What can the developer do to ensure that all services appear in the X-Ray service map?

正解:D

解説:
* AWS X-Ray SDK: The primary way to enable X-Ray tracing within applications. The SDK sends data about requests and subsegments to the X-Ray daemon for service map generation.
* Instrumenting All Services: To visualize a complete microservice architecture on the service map, each relevant service must include the X-Ray SDK.
References:
* AWS X-Ray Documentation: https://docs.aws.amazon.com/xray/
* X-Ray SDK for Python: https://docs.aws.amazon.com/xray/latest/devguide/xray-sdk-python.html


質問 # 492
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