그리고 Itexamdump DVA-C02 시험 문제집의 전체 버전을 클라우드 저장소에서 다운로드할 수 있습니다: https://drive.google.com/open?id=1bfeoFynQju7C26Gt5CweoiQTBEqpOBUb
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.
| Certification Vendor: | Amazon Web Services (AWS) |
|---|---|
| Exam Name: | AWS Certified Developer - Associate |
| Exam Number: | DVA-C02 |
| Related Certifications: | AWS Certified DevOps Engineer - Professional AWS Certified Cloud Practitioner |
| Exam Price: | 150 USD |
| Passing Score: | 720 (scaled score of 100–1,000) |
| Certificate Validity Period: | 3 years |
| Exam Format: | Multiple choice, Multiple response |
| Exam Duration: | 130 minutes |
| Available Languages: | Portuguese (Brazil), English, Spanish (Latin America), Japanese, Simplified Chinese, Korean |
| Real Exam Qty: | 65 (50 scored, 15 unscored) |
| Sample Questions: | Amazon DVA-C02 Sample Questions |
| Exam Way: | Pearson VUE testing center or online proctored exam |
| Pre Condition: | Recommended 1 or more years of hands-on experience in developing and maintaining applications using AWS services. Proficiency in at least one high-level programming language. |
| Official Syllabus URL: | https://aws.amazon.com/certification/certified-developer-associate/ |
>> Amazon DVA-C02인기자격증 시험대비 공부자료 <<
Amazon DVA-C02 덤프가 고객님의 기대를 가득 채워드릴수 있도록 정말로 노력하고 있는 Itexamdump랍니다. Amazon DVA-C02 덤프는 pdf버전과 소프트웨어버전으로만 되어있었는데 최근에는 휴대폰에서가 사용가능한 온라인버전까지 개발하였습니다. 날따라 새로운 시스템을 많이 개발하여 고객님께 더욱 편하게 다가갈수 있는 Itexamdump가 되겠습니다.
DVA-C02 시험을 치르려면 응시자는 AWS 기반 애플리케이션 개발에 대한 최소 1 년의 경험과 AWS 서비스 및 아키텍처에 대한 확실한 이해를 가져야합니다. 또한 AWS 개발에 일반적으로 사용되는 하나 이상의 프로그래밍 언어에 대한 경험이 있어야하며 AWS 개발자 도구에 익숙해야합니다.
질문 # 740
An developer is building a serverless application by using the AWS Serverless Application Model (AWS SAM). The developer is currently testing the application in a development environment. When the application is nearly finsihed, the developer will need to set up additional testing and staging environments for a quality assurance team.
The developer wants to use a feature of the AWS SAM to set up deployments to multiple environments.
Which solution will meet these requirements with the LEAST development effort?
정답：B
설명：
Explanation
The correct answer is A. Add a configuration file in TOML format to group configuration entries to every environment. Add a table for each testing and staging environment. Deploy updates to the environments by using the sam deploy command and the --config-env flag that corresponds to the each environment.
A: Add a configuration file in TOML format to group configuration entries to every environment. Add a table for each testing and staging environment. Deploy updates to the environments by using the sam deploy command and the --config-env flag that corresponds to the each environment. This is correct. This solution will meet the requirements with the least development effort, because it uses a feature of the AWS SAM CLI that supports a project-level configuration file that can be used to configure AWS SAM CLI command parameter values1. The configuration file can have multiple environments, each with its own set of parameter values, such as stack name, region, capabilities, and more2. The developer can use the --config-env option to specify which environment to use when deploying the application3. This way, the developer can avoid creating multiple templates or scripts, or manually overriding parameters for each environment.
B: Create additional AWS SAM templates for each testing and staging environment. Write a custom shell script that uses the sam deploy command and the --template-file flag to deploy updates to the environments.
This is incorrect. This solution will not meet the requirements with the least development effort, because it requires creating and maintaining multiple templates and scripts for each environment. This can introduce duplication, inconsistency, and complexity in the deployment process.
C: Create one AWS SAM configuration file that has default parameters. Perform updates to the testing and staging environments by using the -parameter-overrides flag in the AWS SAM CLI and the parameters that the updates will override. This is incorrect. This solution will not meet the requirements with the least development effort, because it requires manually specifying and overriding parameters for each environment every time the developer deploys the application. This can be error-prone, tedious, and inefficient.
D: Use the existing AWS SAM template. Add additional parameters to configure specific attributes for the serverless function and database table resources that are in each environment. Deploy updates to the testing and staging environments by using the sam deploy command. This is incorrect. This solution will not meet the requirements with the least development effort, because it requires modifying the existing template and adding complexity to the resource definitions for each environment. This can also make it difficult to manage and track changes across different environments.
References:
1: AWS SAM CLI configuration file - AWS Serverless Application Model
2: Configuration file basics - AWS Serverless Application Model
3: Specify a configuration file - AWS Serverless Application Model
질문 # 741
A developer is creating AWS CloudFormation templates to manage an application's deployment in Amazon Elastic Container Service (Amazon ECS) through AWS CodeDeploy. The developer wants to automatically deploy new versions of the application to a percentage of users before the new version becomes available for all users.
How should the developer manage the deployment of the new version?
정답：B
질문 # 742
A company is building a micro services app1 cation that consists of many AWS Lambda functions. The development team wants to use AWS Serverless Application Model (AWS SAM) templates to automatically test the Lambda functions. The development team plans to test a small percentage of traffic that is directed to new updates before the team commits to a full deployment of the application.
Which combination of steps will meet these requirements in the MOST operationally efficient way? (Select TWO.)
정답：A,D
설명：
This solution will meet the requirements by using AWS Serverless Application Model (AWS SAM) templates and gradual deployments to automatically test the Lambda functions. AWS SAM templates are configuration files that define serverless applications and resources such as Lambda functions. Gradual deployments are a feature of AWS SAM that enable deploying new versions of Lambda functions incrementally, shifting traffic gradually, and performing validation tests during deployment. The developer can enable gradual deployments through AWS SAM templates by adding a DeploymentPreference property to each Lambda function resource in the template. The developer can set the deployment preference type to Canary10Percent30Minutes, which means that 10 percent of traffic will be shifted to the new version of the Lambda function for 30 minutes before shifting 100 percent of traffic. The developer can also use hooks to test the deployment, which are custom Lambda functions that run before or after traffic shifting and perform validation tests or rollback actions.
질문 # 743
A developer is creating an AWS Lambda function that searches for items from an Amazon DynamoDB table that contains customer contact information- The DynamoDB table items have the customer's email_address as the partition key and additional properties such as customer_type, name, and job_tltle.
The Lambda function runs whenever a user types a new character into the customer_type text input The developer wants the search to return partial matches of all the email_address property of a particular customer_type The developer does not want to recreate the DynamoDB table.
What should the developer do to meet these requirements?
정답：D
설명：
* Understand the Problem: The existing DynamoDB table has email_address as the partition key.
Searching by customer_type requires a different data access pattern. We need an efficient way to query for partial matches on email_address based on customer_type.
* Why Global Secondary Index (GSI):
* GSIs allow you to define a different partition key and sort key from the main table, enabling new query patterns.
* In this case, having customer_type as the GSI's partition key lets you group all emails with the same customer type together.
* Using email_address as the sort key allows ordering within each customer type, facilitating the partial matching.
* Querying the GSI:
* You'll perform a query operation on the GSI, not the original table.
* Use the begins_with key condition expression on the GSI's sort key (email_address) to find partial matches as the user types in the customer_type field.
References:
DynamoDB Global Secondary Indexes: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide
/GSI.html
DynamoDB Query Operation: [invalid URL removed]
Key Condition Expressions: [invalid URL removed]
질문 # 744
A developer is storing sensitive data generated by an application in Amazon S3. The developer wants to encrypt the data at rest. A company policy requires an audit trail of when the AWS Key Management Service (AWS KMS) key was used and by whom.
Which encryption option will meet these requirements?
정답：D
설명：
Explanation
This solution meets the requirements because it encrypts data at rest using AWS KMS keys and provides an audit trail of when and by whom they were used. Server-side encryption with AWS KMS managed keys (SSE-KMS) is a feature of Amazon S3 that encrypts data using keys that are managed by AWS KMS. When SSE-KMS is enabled for an S3 bucket or object, S3 requests AWS KMS to generate data keys and encrypts data using these keys. AWS KMS logs every use of its keys in AWS CloudTrail, which records all API calls to AWS KMS as events. These events include information such as who made the request, when it was made, and which key was used. The company policy can use CloudTrail logs to audit critical events related to their data encryption and access. Server-side encryption with Amazon S3 managed keys (SSE-S3) also encrypts data at rest using keys that are managed by S3, but does not provide an audit trail of key usage. Server-side encryption with customer-provided keys (SSE-C) and server-side encryption with self-managed keys also encrypt data at rest using keys that are provided or managed by customers, but do not provide an audit trail of key usage and require additional overhead for key management.
질문 # 745
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DVA-C02최신 업데이트 시험덤프: https://www.itexamdump.com/DVA-C02.html
참고: Itexamdump에서 Google Drive로 공유하는 무료, 최신 DVA-C02 시험 문제집이 있습니다: https://drive.google.com/open?id=1bfeoFynQju7C26Gt5CweoiQTBEqpOBUb