DVA-C02 RELIABLE EXAM BRAINDUMPS, VALID DVA-C02 TEST BOOK

DVA-C02 Reliable Exam Braindumps, Valid DVA-C02 Test Book

DVA-C02 Reliable Exam Braindumps, Valid DVA-C02 Test Book

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The Amazon DVA-C02 exam consists of 65 multiple-choice and multiple-response questions, which must be completed within 130 minutes. To pass the exam, candidates must score a minimum of 720 out of a possible 1000 points. DVA-C02 Exam Fee is $150 USD, and it can be taken online or at a testing center.

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Amazon DVA-C02 certification exam covers a wide range of topics such as AWS core services, AWS development and deployment, security, and troubleshooting. Candidates are expected to have a good understanding of these topics to pass the exam. DVA-C02 exam is designed to test the candidate's ability to develop, deploy, and maintain applications on the AWS platform.

Amazon DVA-C02 Exam consists of multiple-choice and multiple-response questions. Candidates will be tested on their knowledge of AWS services such as AWS Lambda, Amazon S3, Amazon DynamoDB, Amazon SQS, Amazon SNS, and AWS Elastic Beanstalk. They will also be tested on their understanding of AWS security, deployment, and monitoring best practices.

Amazon AWS Certified Developer - Associate Sample Questions (Q182-Q187):

NEW QUESTION # 182
A mobile app stores blog posts in an Amazon DynacnoDB table Millions of posts are added every day and each post represents a single item in the table. The mobile app requires only recent posts. Any post that is older than 48 hours can be removed.
What is the MOST cost-effective way to delete posts that are older man 48 hours?

  • A. For each item add a new attribute of type String that has a timestamp that is set to the blog post creation time. Create a script to find old posts with a table scan and remove posts that are order than 48 hours by using the Balch Write ltem API operation. Schedule a cron job on an Amazon EC2 instance once an hour to start the script.
  • B. For each item, add a new attribute of type Date that has a timestamp that is set to 48 hours after the blog post creation time. Create a global secondary index (GSI) that uses the new attribute as a sort key.
    Create an AWS Lambda function that references the GSI and removes expired items by using the Batch Write item API operation Schedule me function with an Amazon CloudWatch event every minute.
  • C. For each item add a new attribute of type. Number that has timestamp that is set to 48 hours after the blog post. creation time Configure the DynamoDB table with a TTL that references the new attribute.
  • D. For each item add a new attribute of type. String that has a timestamp that its set to the blog post creation time. Create a script to find old posts with a table scan and remove posts that are Oder than 48 hours by using the Batch Write item API operating. Place the script in a container image. Schedule an Amazon Elastic Container Service (Amazon ECS) task on AWS Far gate that invokes the container every 5 minutes.

Answer: C

Explanation:
Explanation
This solution will meet the requirements by using the Time to Live (TTL) feature of DynamoDB, which enables automatically deleting items from a table after a certain time period. The developer can add a new attribute of type Number that has a timestamp that is set to 48 hours after the blog post creation time, which represents the expiration time of the item. The developer can configure the DynamoDB table with a TTL that references the new attribute, which instructs DynamoDB to delete the item when the current time is greater than or equal to the expiration time. This solution is also cost-effective as it does not incur any additional charges for deleting expired items. Option A is not optimal because it will create a script to find and remove old posts with a table scan and a batch write item API operation, which may consume more read and write capacity units and incur more costs. Option B is not optimal because it will use Amazon Elastic Container Service (Amazon ECS) and AWS Fargate to run the script, which may introduce additional costs and complexity for managing and scaling containers. Option C is not optimal because it will create a global secondary index (GSI) that uses the expiration time as a sort key, which may consume more storage space and incur more costs.
References: Time To Live, Managing DynamoDB Time To Live (TTL)


NEW QUESTION # 183
A company is offering APIs as a service over the internet to provide unauthenticated read access to statistical information that is updated daily. The company uses Amazon API Gateway and AWS Lambda to develop the APIs. The service has become popular, and the company wants to enhance the responsiveness of the APIs.
Which action can help the company achieve this goal?

  • A. Enable cross-origin resource sharing (CORS) for the APIs.
  • B. Enable API caching in API Gateway.
  • C. Configure API Gateway to use an interface VPC endpoint.
  • D. Configure usage plans and API keys in API Gateway.

Answer: B

Explanation:
Explanation
Amazon API Gateway is a service that enables developers to create, publish, maintain, monitor, and secure APIs at any scale. The developer can enable API caching in API Gateway to cache responses from the backend integration point for a specified time-to-live (TTL) period. This can improve the responsiveness of the APIs by reducing the number of calls made to the backend service.
References:
[What Is Amazon API Gateway? - Amazon API Gateway]
[Enable API Caching to Enhance Responsiveness - Amazon API Gateway]


NEW QUESTION # 184
A developer is incorporating AWS X-Ray into an application that handles personal identifiable information (PII). The application is hosted on Amazon EC2 instances. The application trace messages include encrypted PII and go to Amazon CloudWatch. The developer needs to ensure that no PII goes outside of the EC2 instances.
Which solution will meet these requirements?

  • A. Manually instrument the X-Ray SDK in the application code.
  • B. Use Amazon Macie to detect and hide PII. Call the X-Ray API from AWS Lambda.
  • C. Use AWS Distro for Open Telemetry.
  • D. Use the X-Ray auto-instrumentation agent.

Answer: A

Explanation:
Explanation
This solution will meet the requirements by allowing the developer to control what data is sent to X-Ray and CloudWatch from the application code. The developer can filter out any PII from the trace messages before sending them to X-Ray and CloudWatch, ensuring that no PII goes outside of the EC2 instances. Option B is not optimal because it will automatically instrument all incoming and outgoing requests from the application, which may include PII in the trace messages. Option C is not optimal because it will require additional services and costs to use Amazon Macie and AWS Lambda, which may not be able to detect and hide all PII from the trace messages. Option D is not optimal because it will use Open Telemetry instead of X-Ray, which may not be compatible with CloudWatch and other AWS services.
References: [AWS X-Ray SDKs]


NEW QUESTION # 185
A company has multiple Amazon VPC endpoints in the same VPC. A developer needs configure an Amazon S3 bucket policy so users can access an S3 bucket only by using these VPC endpoints.
Which solution will meet these requirements?

  • A. Create a single S3 bucket policy that has multiple aws sourceVpce value in the StingNotEquale condition. Repeat for all the VPC endpoint IDs.
  • B. Create multiple S3 bucket polices by using each VPC endpoint ID that have the aws SourceVpce value in the StringNotEquals condition.
  • C. Create a single S3 bucket policy that has the aws SourceVpc value and in the StingNotEquals condition to use VPC ID.
  • D. Create a single S3 bucket policy that the multiple aws SourceVpce value and in the SringNotEquals condton to use vpce.

Answer: A

Explanation:
This solution will meet the requirements by creating a single S3 bucket policy that denies access to the S3 bucket unless the request comes from one of the specified VPC endpoints. The aws:SourceVpce condition key is used to match the ID of the VPC endpoint that is used to access the S3 bucket. The StringNotEquals condition operator is used to negate the condition, so that only requests from the listed VPC endpoints are allowed. Option A is not optimal because it will create multiple S3 bucket policies, which is not possible as only one bucket policy can be attached to an S3 bucket. Option B is not optimal because it will use the aws:SourceVpc condition key, which matches the ID of the VPC that is used to access the S3 bucket, not the VPC endpoint. Option C is not optimal because it will use the StringNotEquals condition operator with a single value, which will deny access to the S3 bucket from all VPC endpoints except one.


NEW QUESTION # 186
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?

  • A. 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.
  • B. 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.
  • C. 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.
  • 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.

Answer: C

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.
Reference:
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


NEW QUESTION # 187
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