DVA-C02技術試験、DVA-C02日本語認定

さらに、Xhs1991 DVA-C02ダンプの一部が現在無料で提供されています:https://drive.google.com/open?id=1JExF81M_U0WITIR6wzyAVV-fQW_aN2mG
DVA-C02テスト準備は高品質です。合格率とヒット率は両方とも高いです。合格率は約98%-100%です。試験に合格する可能性が非常に高いことを保証できます。 DVA-C02ガイドトレントは、専門家によって編集され、豊富な経験を持つ専門家によって承認されています。 DVA-C02のXhs1991準備トレントは、高品質の製品であり、精巧にコンパイルされ、以前の試験の論文と業界で人気のある傾向に従って、厳密な分析と要約が行われました。 DVA-C02試験の教材の言語はシンプルで理解しやすいです。
Amazon DVA-C02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Development with AWS Services | 32% | - Develop code for AWS serverless applications
- 1. AWS AppSync
- 2. Amazon API Gateway
- 3. AWS Step Functions
- 4. Amazon EventBridge
- Use data stores in application development
- 1. Amazon EFS
- 2. Amazon S3
- 3. Amazon DynamoDB
- 4. Amazon ElastiCache
- 5. Amazon RDS
- Develop code for applications hosted on AWS
- 1. Amazon S3
- 2. AWS CLI
- 3. Amazon DynamoDB
- 4. AWS SDKs
- 5. Amazon API Gateway
- 6. Amazon SQS
- 7. Amazon SNS
- 8. Amazon Cognito
- 9. AWS CloudFormation
- 10. AWS Lambda
|
| Deployment | 24% | - Automate deployment testing
- 1. AWS CodePipeline
- 2. AWS CodeBuild
- 3. AWS CodeDeploy
- 4. AWS CodeCommit
- Deploy code by using AWS CI/CD services
- 1. AWS CodePipeline
- 2. Blue/green deployments
- 3. Rolling deployments
- 4. AWS CodeBuild
- 5. GitHub integration
- 6. AWS CodeDeploy
- 7. AWS CodeCommit
- 8. Canary deployments
- Test applications in development environments
- 1. Mocking AWS services
- 2. Local testing of Lambda functions
- 3. AWS SAM local
- Prepare application artifacts to be deployed to AWS
- 1. AWS CDK
- 2. AWS SAM
- 3. Lambda deployment packages
- 4. AWS CloudFormation
- 5. Docker containers
|
| Troubleshooting and Optimization | 18% | - Assist in a root cause analysis
- 1. Application logging
- 2. AWS CloudTrail
- 3. AWS X-Ray
- 4. Error handling and retries
- 5. Amazon CloudWatch Logs
- Instrument code for observability
- 1. Custom metrics
- 2. Amazon CloudWatch metrics
- 3. AWS X-Ray
- 4. Structured logging
- 5. Amazon CloudWatch alarms
- Optimize applications by using AWS services and features
- 1. Data storage optimization
- 2. Cost optimization
- 3. Memory and compute optimization
- 4. Caching strategies (ElastiCache, CloudFront)
- 5. Concurrency and throttling
|
| Security | 26% | - Implement encryption by using AWS services
- 1. AWS KMS
- 2. AWS Secrets Manager
- 3. AWS CloudHSM
- 4. AWS Certificate Manager
- 5. Amazon S3 encryption
- Implement authentication and/or authorization for applications and AWS services
- 1. User pools and identity pools in Amazon Cognito
- 2. Identity federation (SAML, OpenID Connect, Amazon Cognito)
- 3. Role-based access control (RBAC)
- 4. Bearer tokens (JWT, OAuth, AWS STS)
- 5. Resource-based policies, service policies, and principal policies
- Manage sensitive data in application code
- 1. AWS Systems Manager Parameter Store
- 2. AWS Secrets Manager
- 3. Environment variables
- 4. Encryption of data at rest and in transit
|
>> DVA-C02技術試験 <<
試験の準備方法-最高のDVA-C02技術試験試験-ユニークなDVA-C02日本語認定
DVA-C02学習教材は、業界の経験豊富な専門家によって作成されているため、品質と効率を保証できます。 DVA-C02学習ガイドの内容は、常に命題法に準拠しています。最良のリファレンスとは言えませんが、あなたを失望させないでしょう。私たちは、試験に合格し、認定資格を取得することに熱心な受験者に最適です。 DVA-C02の実際の試験は、証明書を取得するという夢を実現するのに役立ちます。
Amazon AWS Certified Developer - Associate 認定 DVA-C02 試験問題 (Q69-Q74):
質問 # 69
A developer is using AWS Amplify Hosting to build and deploy an application. The developer is receiving an increased number of bug reports from users. The developer wants to add end-to-end testing to the application to eliminate as many bugs as possible before the bugs reach production.
Which solution should the developer implement to meet these requirements?
- A. Add a test phase to the amplify.yml build settings for the application.
- B. Add a test phase to the aws-exports.js file for the application.
- C. Create unit tests in the application. Deploy the unit tests by using the amplify push command in the Amplify CLI.
- D. Run the amplify add test command in the Amplify CLI.
正解:A
質問 # 70
When a developer tries to run an AWS Code Build project, it raises an error because the length of all environment variables exceeds the limit for the combined maximum of characters.
What is the recommended solution?
- A. Update the settings for the build project to use an Amazon S3 bucket for large numbers of environment variables
- B. Add the export LC-_ALL" on _ US, tuft" command to the pre _ build section to ensure POSIX Localization.
- C. Use Amazon Cognate to store key-value pairs for large numbers of environment variables
- D. Use AWS Systems Manager Parameter Store to store large numbers ot environment variables
正解:D
解説:
Explanation
This solution allows the developer to overcome the limit for the combined maximum of characters for environment variables in AWS CodeBuild. AWS Systems Manager Parameter Store provides secure, hierarchical storage for configuration data management and secrets management. The developer can store large numbers of environment variables as parameters in Parameter Store and reference them in the buildspec file using parameter references. Adding export LC_ALL="en_US.utf8" command to the pre_build section will not affect the environment variables limit. Using Amazon Cognito or an Amazon S3 bucket to store key-value pairs for environment variables will require additional configuration and integration.
質問 # 71
A developer maintains a serverless application that uses an Amazon API Gateway REST API to invoke an AWS Lambda function by using a non-proxy integration. The Lambda function returns data, which is stored in Amazon DynamoDB.
Several application users begin to receive intermittent errors from the API. The developer examines Amazon CloudWatch Logs for the Lambda function and discovers several ProvisionedThroughputExceededException errors.
The developer needs to resolve the errors and ensure that the errors do not reoccur.
Which solution will meet these requirements?
- A. Update the REST API to send requests on an Amazon SQS queue. Configure the Lambda function to process requests from the queue.
- B. Update the REST API to invoke the Lambda function asynchronously.
- C. Configure a usage plan for the REST API.
- D. Use provisioned capacity mode for the DynamoDB table, and assign sufficient capacity units.
Configure the Lambda function to retry requests with exponential backoff.
正解:D
解説:
Using provisioned capacity ensures sufficient throughput for the DynamoDB table. Configuring the Lambda function to implement exponential backoff retries reduces the chance of exceeding capacity during peak usage.
This combination addresses the root cause (ProvisionedThroughputExceededException) and prevents errors without overprovisioning.
質問 # 72
A social media application stores millions of video clips in Amazon S3 and serves them to users worldwide.
Traffic is highly variable and can spike to more than 10,000 PUT and GET requests per second. Users report poor video streaming quality.
Which solution will provide the LARGEST improvement in performance?
- A. Create an Amazon CloudFront distribution with Amazon S3 as the origin.
- B. Configure an Amazon Route 53 geolocation routing policy.
- C. Use S3 Intelligent-Tiering.
- D. Use Amazon S3 Cross-Region Replication.
正解:A
解説:
Amazon CloudFront is a global content delivery network (CDN) designed to deliver static and streaming content with low latency and high throughput. AWS documentation explicitly recommends CloudFront for media streaming and high-request-rate workloads.
By placing CloudFront in front of Amazon S3, video content is cached at edge locations close to end users.
This dramatically reduces latency, minimizes buffering, and offloads request volume from the S3 bucket.
CloudFront is built to handle sudden traffic spikes and supports tens of thousands of requests per second per edge location.
Route 53 routing policies (Option A) control DNS resolution but do not cache content. Cross-Region Replication (Option B) improves regional availability but does not provide edge caching or streaming optimization. S3 Intelligent-Tiering (Option C) optimizes storage cost, not performance.
Therefore, using CloudFront with S3 as the origin provides the largest and most immediate performance improvement.
質問 # 73
A company wants to use AWS AppConfig to gradually deploy a new feature to 15% of users to test the feature before a full deployment.
Which solution will meet this requirement with theLEAST operational overhead?
- A. Create separate AWS AppConfig feature flags for both groups of users. Configure the flags to target
15% of users. - B. Set up a custom script within the application to randomly select 15% of users. Assign a flag for the new feature to the selected users.
- C. Use AWS AppConfig to create a feature flag without variants. Implement a custom traffic splitting mechanism in the application code.
- D. Create an AWS AppConfig feature flag. Define a variant for the new feature, and create a rule to target
15% of users.
正解:D
解説:
Comprehensive Detailed and Lengthy Step-by-Step Explanation with All AWS Developer References:
1. Understanding the Use Case:
The company wants to gradually release a new feature to 15% of users to perform testing. AWS AppConfig is designed to manage and deploy configurations, including feature flags, allowing controlled rollouts.
2. Key AWS AppConfig Features:
* Feature Flags:Enable or disable features dynamically without redeploying code.
* Variants:Define different configurations for subsets of users.
* Targeting Rules:Specify rules for which users receive a particular variant.
3. Explanation of the Options:
* Option A:"Set up a custom script within the application to randomly select 15% of users. Assign a flag for the new feature to the selected users."While possible, this approach requires significant operational effort to manage user selection and ensure randomness. It does not leverage AWS AppConfig's built-in capabilities, which increases overhead.
* Option B:"Create separate AWS AppConfig feature flags for both groups of users. Configure the flags to target 15% of users."Creating multiple feature flags for different user groups complicates configuration management and does not optimize the use of AWS AppConfig.
* Option C:"Create an AWS AppConfig feature flag. Define a variant for the new feature, and create a rule to target 15% of users."This is the correct solution. Using AWS AppConfig feature flags with variants and targeting rules is the most efficient approach. It minimizes operational overhead by leveraging AWS AppConfig's built-in targeting and rollout capabilities.
* Option D:"Use AWS AppConfig to create a feature flag without variants. Implement a custom traffic splitting mechanism in the application code."This approach requires custom implementation within the application code, increasing complexity and operational effort.
4. Implementation Steps for Option C:
* Set Up AWS AppConfig:
* Open theAWS Systems Manager Console.
* Navigate toAppConfig.
* Create a Feature Flag:
* Define a new configuration for the feature flag.
* Add variants (e.g., "enabled" for the new feature and "disabled" for no change).
* Define a Targeting Rule:
* Usepercentage-based targetingto define a rule that applies the "enabled" variant to 15% of users.
* Targeting rules can use attributes like user IDs or geographic locations.
* Deploy the Configuration:
* Deploy the configuration using a controlled rollout to ensure gradual exposure.
質問 # 74
......
人生にはいろいろな可能性があります。挑戦すれば、成功するかもしれません。DVA-C02試験は多くの人にとって重要な試験です。そして、難しいです。しかし、DVA-C02復習教材を利用すれば、ずべてのことは簡単になります。つまり、DVA-C02試験をパスしたい場合、DVA-C02復習教材は不可欠です。
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