DVA-C02復習教材、DVA-C02模擬対策問題

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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Security	26%	- Apply security best practices 1. Follow AWS Well-Architected Framework security principles 2. Validate application security configurations - Secure application data 1. Implement encryption at rest and in transit 2. Manage secrets and credentials securely - Implement authentication and authorization 1. Use Amazon Cognito for identity management 2. Manage IAM roles, policies, and permissions
Topic 2: Deployment	24%	- Deploy applications on AWS 1. Perform safe updates and rollbacks 2. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk - Prepare application artifacts for deployment 1. Use infrastructure as code (AWS CloudFormation, AWS SAM) 2. Package code and dependencies - Implement CI/CD pipelines 1. Automate deployment and testing workflows 2. Use AWS CodePipeline, CodeBuild, CodeDeploy
Topic 3: Troubleshooting and Optimization	18%	- Troubleshoot application issues 1. Use Amazon CloudWatch, AWS X-Ray for monitoring 2. Analyze logs, metrics, and traces - Optimize application performance 1. Improve latency and throughput 2. Optimize resource usage and costs - Debug and resolve errors 1. Identify and fix code defects 2. Resolve integration and configuration problems
Topic 4: Development with AWS Services	32%	- Interact with AWS data services 1. Implement caching and data storage strategies 2. Work with Amazon DynamoDB, Amazon S3 - Write code for applications hosted on AWS 1. Use AWS SDKs and APIs 2. Develop serverless applications 3. Implement architectural patterns - Integrate AWS services into applications 1. Implement messaging and event-driven workflows 2. Use AWS Lambda, API Gateway, Amazon EventBridge

>> DVA-C02復習教材 <<

Amazon DVA-C02模擬対策問題 & DVA-C02トレーニング

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Amazon AWS Certified Developer - Associate 認定 DVA-C02 試験問題 (Q36-Q41):

質問 # 36
A software engineer developed an AWS Lambda function in Node.js to do some CPU-intensive data processing. With the default settings, the Lambda function takes about 5 minutes to complete. Which approach should a developer take to increase the speed of completion?

A. Instead of packaging the libraries in the ZIP file with the function, move them to a Lambda layer and use the layer with the function.
B. Allocate the maximum available CPU units to the function.
C. Increase the available memory to the function.
D. Instead of using Node.js, rewrite the Lambda function using Python.

正解：C

解説：
In AWS Lambda, increasing the memory allocation not only gives the function more RAM, but also proportionally increases the CPU power. For CPU-intensive workloads, this is the most effective way to speed up execution time, as more compute power is granted automatically with higher memory.

質問 # 37
A developer needs to add additional monitoring to an application that runs in an Amazon ECS cluster. The solution must publish and store custom metrics for the application. The developer must be able to save metadata about the custom metrics and store data with a granularity of 1 second. Which solution will meet these requirements?

A. Instrument the application to use AWS X-Ray by installing and running the X-Ray daemon. Use the X-Ray SDK to upload custom metrics and metadata through traces. Segment and subsegment data.
B. Use the Amazon CloudWatch PutMetricData API to publish the custom metrics. Set the StorageResolution field to 1. Use the dimensions parameter to assign name value pairs to the metrics.
C. Monitor the containers by using Amazon ECS Exec. Use Amazon EventBridge Scheduler to run the ECS execute-command CLI command on the cluster to publish custom metrics on a schedule.
D. Use Amazon ECS Container Insights to publish custom metrics from within the application.
Specify high resolution and use the metadata feature to store more data.

正解：B

解説：
Amazon CloudWatch custom metrics support high-resolution data by using the PutMetricData API with StorageResolution set to 1, which stores metrics at 1-second granularity. Dimensions provide name-value metadata that helps categorize and filter the custom metrics for analysis and dashboards.

質問 # 38
A developer is automating a new application deployment with AWS SAM. The new application has one AWS Lambda function and one Amazon S3 bucket. The Lambda function must access the S3 bucket to only read objects.
How should the developer configure AWS SAM to grant the necessary read permission to the S3 bucket?

A. Reference a second Lambda authorizer function.
B. Add a custom S3 bucket policy to the Lambda function.
C. Create an Amazon SQS topic for only S3 object reads. Reference the topic in the template.
D. Add the S3ReadPolicy template to the Lambda function's execution role.

正解：D

質問 # 39
A developer is troubleshooting an Amazon API Gateway API Clients are receiving HTTP 400 response errors when the clients try to access an endpoint of the API.
How can the developer determine the cause of these errors?

A. Turn on AWS X-Ray for the API stage Create an Amazon CtoudWalch Logs log group Specify the Amazon Resource Name (ARN) of the log group for the API stage.
B. Turn on execution logging and access logging in Amazon CloudWatch Logs for the API stage. Create a CloudWatch Logs log group. Specify the Amazon Resource Name (ARN) of the log group for the API stage.
C. Turn on AWS CloudTrail Insights and create a trail Specify the Amazon Resource Name (ARN) of the trail for the stage of the API.
D. Create an Amazon Kinesis Data Firehose delivery stream to receive API call logs from API Gateway.
Configure Amazon CloudWatch Logs as the delivery stream's destination.

正解：B

解説：
This solution will meet the requirements by using Amazon CloudWatch Logs to capture and analyze the logs from API Gateway. Amazon CloudWatch Logs is a service that monitors, stores, and accesses log files from AWS resources. The developer can turn on execution logging and access logging in Amazon CloudWatch Logs for the API stage, which enables logging information about API execution and client access to the API.
The developer can create a CloudWatch Logs log group, which is a collection of log streams that share the same retention, monitoring, and access control settings. The developer can specify the Amazon Resource Name (ARN) of the log group for the API stage, which instructs API Gateway to send the logs to the specified log group. The developer can then examine the logs to determine the cause of the HTTP 400 response errors. Option A is not optimal because it will create an Amazon Kinesis Data Firehose delivery stream to receive API call logs from API Gateway, which may introduce additional costs and complexity for delivering and processing streaming data. Option B is not optimal because it will turn on AWS CloudTrail Insights and create a trail, which is a feature that helps identify and troubleshoot unusual API activity or operational issues, not HTTP response errors. Option C is not optimal because it will turn on AWS X-Ray for the API stage, which is a service that helps analyze and debug distributed applications, not HTTP response errors.
References: [Setting Up CloudWatch Logging for a REST API], [CloudWatch Logs Concepts]

質問 # 40
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 1AM policy.
Which policy allows MINIMUM access to meet these requirements?

A. Option A
B. Option B
C. Option C
D. Option D

正解：A

質問 # 41
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