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The AWS Certified Developer - Associate exam covers a range of topics, including AWS core services, security, identity and access management, databases, and storage. Candidates are required to demonstrate proficiency in developing, deploying, and debugging cloud-based applications using AWS services like AWS Lambda, Amazon S3, Amazon DynamoDB, and Amazon EC2.
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Amazon DVA-C02 (AWS Certified Developer - Associate) Exam is a certification exam that is designed to test the knowledge and skills of individuals who are interested in becoming AWS Certified Developers. DVA-C02 exam is ideal for developers who have experience in developing and maintaining applications on the AWS platform. DVA-C02 Exam assesses the candidate's ability to design, develop, and deploy cloud-based solutions using AWS services and tools.
NEW QUESTION # 22
A developer is working on an ecommerce website The developer wants to review server logs without logging in to each of the application servers individually. The website runs on multiple Amazon EC2 instances, is written in Python, and needs to be highly available How can the developer update the application to meet these requirements with MINIMUM changes?
Answer: B
Explanation:
* Centralized Logging Benefits: Centralized logging is essential for operational visibility in scalable systems, especially those using multiple EC2 instances like our e-commerce website. CloudWatch provides this capability, along with other monitoring features.
* CloudWatch Agent: This is the best way to send custom application logs from EC2 instances to CloudWatch. Here's the process:
* Install the CloudWatch agent on each EC2 instance.
* Configure the agent with a configuration file, specifying:
* Which log files to collect.
* The format in which to send logs to CloudWatch (e.g., JSON).
* The specific CloudWatch Logs log group and log stream for these logs.
* Viewing and Analyzing Logs: Once the agent is pushing logs, use the CloudWatch Logs console or API:
* View and search the logs across all instances.
* Set up alarms based on log events.
* Use CloudWatch Logs Insights for sophisticated queries and analysis.
References:
* Amazon CloudWatch Logs: https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs
/WhatIsCloudWatchLogs.html
* Unified CloudWatch Agent: https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs
/AgentReference.html
* CloudWatch Logs Insights: https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs
/AnalyzingLogData.html
NEW QUESTION # 23
A company has an AWS Step Functions state machine named myStateMachine. The company configured a service role for Step Functions. The developer must ensure that only the myStateMachine state machine can assume the service role.
Which statement should the developer add to the trust policy to meet this requirement?
Answer: B
Explanation:
Comprehensive Detailed Explanation with all AWS References
* Why Option A is Correct:
* The ArnLike condition with the specific ARN for myStateMachine ensures that only this state machine can assume the role. The format urn:aws:states is correct for specifying Step Functions resources.
* Why Other Options are Incorrect:
* Option B: Wildcards (*) in the ARN allow more resources to assume the role, which violates the requirement.
* Option C: This condition restricts the account but not the specific state machine.
* Option D: A StringNotEquals condition is used to deny specific values, which does not ensure exclusivity for the desired state machine.
* AWS Documentation References:
* IAM Trust Policies for Step Functions
NEW QUESTION # 24
A developer registered an AWS Lambda function as a target for an Application Load Balancer (ALB) using a CLI command. However, the Lambda function is not being invoked when the client sends requests through the ALB.
Why is the Lambda function not being invoked?
Answer: B
Explanation:
An Application Load Balancer can invoke Lambda functions as targets, but ALB must be explicitly granted permission to invoke the function. This is done by adding a resource-based permission to the Lambda function policy that allows the Elastic Load Balancing service principal to call lambda:InvokeFunction, typically scoped to the specific target group ARN.
If the developer registers the function as a target but does not add the required permission, the ALB will not be able to invoke the function when requests arrive. This is a common integration oversight: the target registration succeeds, but invocation fails because Lambda denies the call.
Option A is incorrect because ALB does support Lambda targets.
Option B is incorrect because Lambda targets can be configured through the console, CLI, or APIs.
Option D is unrelated: cross-zone load balancing affects distribution of traffic across AZs for instance/IP targets, not whether Lambda invocation is authorized.
NEW QUESTION # 25
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?
Answer: B
Explanation:
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.
NEW QUESTION # 26
A company has an application that is based on Amazon EC2. The company provides API access to the application through Amazon API Gateway and uses Amazon DynamoDB to store the application's data. A developer is investigating performance issues that are affecting the application. During peak usage, the application is overwhelmed by a large number of identical data read requests that come through APIs. What is the MOST operationally efficient way for the developer to improve the application's performance?
Answer: C
Explanation:
DynamoDB Accelerator (DAX) provides a managed caching layer specifically optimized for DynamoDB, reducing latency for repeated read requests.
* Why Option A is Correct:
* Purpose-Built: DAX is designed for DynamoDB, enabling sub-millisecond response times for frequently accessed items.
* Operational Efficiency: No need for additional application-level caching logic.
* Why Not Other Options:
* Option B: Auto Scaling increases capacity but does not address repetitive reads.
* Option C: API Gateway caching helps reduce request processing time but does not optimize DynamoDB reads.
* Option D: ElastiCache is a general-purpose cache, adding unnecessary complexity for DynamoDB use cases.
NEW QUESTION # 27
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