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[General] DVA-C02 Real Brain Dumps, DVA-C02 Pass4sure

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【General】 DVA-C02 Real Brain Dumps, DVA-C02 Pass4sure

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The DVA-C02 certification exam evaluates a candidate's ability to design, develop, and deploy scalable and fault-tolerant applications on AWS. DVA-C02 exam covers a wide range of topics, including AWS compute, storage, database, networking, security, and developer tools. DVA-C02 Exam also tests the candidate's knowledge of AWS services such as AWS Lambda, AWS Elastic Beanstalk, AWS CodePipeline, AWS CloudFormation, and AWS CloudTrail.
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Amazon DVA-C02 is the latest version of the AWS Certified Developer - Associate exam. AWS Certified Developer - Associate certification targets professionals who have experience in developing and maintaining AWS-based applications. DVA-C02 Exam validates their skills and knowledge in designing, developing, deploying, and maintaining applications on AWS. The updated version of the exam reflects the latest AWS services and features, including AWS Lambda, Amazon API Gateway, Amazon DynamoDB, and Amazon SQS.
Amazon AWS Certified Developer - Associate Sample Questions (Q169-Q174):NEW QUESTION # 169
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. Configure usage plans and API keys in API Gateway.
  • B. Enable API caching in API Gateway.
  • C. Configure API Gateway to use an interface VPC endpoint.
  • D. Enable cross-origin resource sharing (CORS) for the APIs.
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 # 170
A developer has a legacy application that is hosted on-premises. Other applications hosted on AWS depend on the on-premises application for proper functioning. In case of any application errors, the developer wants to be able to use Amazon CloudWatch to monitor and troubleshoot all applications from one place.
How can the developer accomplish this?
  • A. Download the CloudWatch agent to the on-premises server. Configure the agent to use IAM user credentials with permissions for CloudWatch.
  • B. Upload log files from the on-premises server to Amazon S3 and have CloudWatch read the files.
  • C. Install an AWS SDK on the on-premises server to automatically send logs to CloudWatch.
  • D. Upload log files from the on-premises server to an Amazon EC2 instance and have the instance forward the logs to CloudWatch.
Answer: A
Explanation:
https://docs.aws.amazon.com/Amaz ... Install-CloudWatch- Agent.html
https://docs.aws.amazon.com/Amaz ... l-CloudWatch-Agent- on-premise.html

NEW QUESTION # 171
A developer wants to reduce risk when deploying a new version of an existing AWS Lambda function. To test the Lambda function, the developer needs to split the traffic between the existing version and the new version of the Lambda function.
Which solution will meet these requirements?
  • A. Create a function alias. Configure the alias to split the traffic between the two versions of the Lambda function.
  • B. Create an Application Load Balancer (ALB) that uses the Lambda function as a target. Configure the ALB to split the traffic between the two versions of the Lambda function.
  • C. Configure a weighted routing policy in Amazon Route 53. Associate the versions of the Lambda function with the weighted routing policy.
  • D. Create the new version of the Lambda function as a Lambda layer on the existing version. Configure the function to split the traffic between the two layers.
Answer: A
Explanation:
AWS Lambda supports versions and aliases to manage deployments safely. An alias is a named pointer to a specific function version (for example, prod # version 5). Importantly, Lambda aliases can be configured with routing configuration to split incoming invocation traffic between two versions. This enables canary or linear deployments where most traffic goes to the stable version and a small percentage goes to the new version for testing. If issues occur, the developer can quickly shift traffic back by updating the alias.
Option B is the native, simplest, and recommended solution for Lambda traffic shifting.
Option A is not correct because Route 53 weighted routing can split DNS queries between endpoints, but it does not natively target Lambda versions directly for most invocation patterns, and it's not the standard mechanism for Lambda version traffic shifting.
Option C is unnecessary and adds operational overhead. ALB can invoke Lambda targets, but splitting between Lambda versions is more naturally handled by aliases without provisioning and managing an ALB.
Option D misunderstands layers: layers are for dependencies/shared code, not for deploying new versions or traffic splitting.
Therefore, using a Lambda alias with weighted routing between versions meets the requirement.

NEW QUESTION # 172
An online sales company is developing a serverless application that runs on AWS. The application uses an AWS Lambda function that calculates order success rates and stores the data in an Amazon DynamoDB table.
A developer wants an efficient way to invoke the Lambda function every 15 minutes.
Which solution will meet this requirement with the LEAST development effort?
  • A. Provision a small Amazon EC2 instance. Set up a cron job that invokes the Lambda function every 15 minutes.
  • B. Create an AWS Step Functions state machine. Configure the state machine to invoke the Lambda function execution role at a specified interval by using a Wait state. Set the interval to 15 minutes.
  • C. Create an AWS Systems Manager document that has a script that will invoke the Lambda function on Amazon EC2. Use a Systems Manager Run Command task to run the shell script every 15 minutes.
  • D. Create an Amazon EventBridge rule that has a rate expression that will run the rule every 15 minutes.
    Add the Lambda function as the target of the EventBridge rule.
Answer: D
Explanation:
Explanation
The best solution for this requirement is option A. Creating an Amazon EventBridge rule that has a rate expression that will run the rule every 15 minutes and adding the Lambda function as the target of the EventBridge rule is the most efficient way to invoke the Lambda function periodically. This solution does not require any additional resources or development effort, and it leverages the built-in scheduling capabilities of EventBridge1.

NEW QUESTION # 173
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?
  • A. Add a local secondary Index (LSI) to the DynamoDB table With job_tltle as the partition key and emad_address as the sort key Perform a query operation on the LSI by using the begins_wrth key condition expression With the email_address property
  • B. Add a global secondary index (GSI) to the DynamoDB table With ernail_address as the partition key and customer_type as the sort key Perform a query operation on the GSI by using the begins_wtth key condition expression With the emal_address property.
  • C. Add a local secondary index (LSI) to the DynamoDB table With customer_type as the partition key and email_address as the sort key Perform a query operation on the LSI by using the begins_wlth key condition expression With the email_address property
  • D. Add a global secondary index (GSI) to the DynamoDB table with customer_type as the partition key and email_address as the sort key Perform a query operation on the GSI by using the begvns_wth key condition expression With the emad_address property
Answer: D
Explanation:
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.
Reference:
DynamoDB Global Secondary Indexes: https://docs.aws.amazon.com/amaz ... loperguide/GSI.html DynamoDB Query Operation: [invalid URL removed]

NEW QUESTION # 174
......
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