Validate Your Skills with Amazon DVA-C02 Exam Questions

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The AWS Certified Developer - Associate exam is an essential certification for developers who want to demonstrate their expertise in developing and deploying applications on the AWS platform. AWS Certified Developer - Associate certification can help candidates advance their careers and open up new opportunities in the field of cloud computing.

Amazon DVA-C02 Exam is a valuable certification for developers who want to demonstrate their expertise in AWS development. It validates the candidate's ability to design, develop, and deploy cloud-based applications using AWS services and tools. To pass the exam, candidates should have a good understanding of AWS core services, be proficient in at least one programming language, and have experience working with AWS SDKs and APIs.

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Amazon AWS Certified Developer - Associate Sample Questions (Q109-Q114):

NEW QUESTION # 109
A company uses an AWS Lambda function that reads messages from an Amazon Simple Queue Service (Amazon SQS) standard queue. The Lambda function makes an HTTP call to a third- party API for each message. The company wants to ensure that the Lambda function does not overwhelm the third-party API with more than two concurrent requests.
Which solution will meet these requirements?

A. Configure Lambda event filtering to process two messages from Amazon SQS at every invocations.
B. Configure a batch size of two on the Amazon SQS event source mapping for the Lambda function.
C. Configure a maximum concurrency of two on the Amazon SQS event source mapping for the Lambda function.
D. Configure a provisioned concurrency of two on the Lambda function.

Answer: B

NEW QUESTION # 110
A developer is creating a serverless application that uses an AWS Lambda function. The developer will use AWS CloudFormation to deploy the application. The application will write logs to Amazon CloudWatch Logs. The developer has created a log group in a CloudFormation template for the application to use. The developer needs to modify the CloudFormation template to make the name of the log group available to the application at runtime.
Which solution will meet this requirement?

A. Pass the log group's Amazon Resource Name (ARN) as an environment variable to the Lambda function.
B. Use the AWS::Include transform in CloudFormation to provide the log group's name to the application.
C. Pass the log group's name to the application in the user data section of the CloudFormation template.
D. Use the CloudFormation template's Mappings section to specify the log group's name for the application.

Answer: D

NEW QUESTION # 111
A developer is working on an ecommerce platform that communicates with several third-party payment processing APIs. The third-party payment services do not provide a test environment.
The developer needs to validate the ecommerce platform's integration with the third-party payment processing APIs. The developer must test the API integration code without invoking the third-party payment processing APIs.
Which solution will meet these requirements?

A. Set up an Amazon API Gateway REST API with a gateway response configured for status code
200. Add response templates that contain sample responses captured from the real third-party API.
B. Create an AWS Lambda function for each third-party API. Embed responses captured from the real third-party API. Configure Amazon Route 53 Resolver with an inbound endpoint for each Lambda function's Amazon Resource Name (ARN).
C. Set up an Amazon API Gateway REST API for each third-party API. Specify an integration request type of Mock. Configure integration responses by using sample responses captured from the real third-party API.
D. Set up an AWS AppSync GraphQL API with a data source configured for each third-party API.
Specify an integration type of Mock. Configure integration responses by using sample responses captured from the real third-party API.

Answer: C

Explanation:
https://docs.aws.amazon.com/apigateway/latest/developerguide/how-to-mock-integration.html

NEW QUESTION # 112
A company has an analytics application that uses an AWS Lambda function to process transaction data asynchronously A developer notices that asynchronous invocations of the Lambda function sometimes fail When failed Lambda function invocations occur, the developer wants to invoke a second Lambda function to handle errors and log details.
Which solution will meet these requirements?

A. Create a status check alarm on the initial Lambda function. Configure the alarm to invoke the error-handling Lambda function when the alarm is initiated. Ensure that the alarm passes the stack trace in the event object.
B. Configure a Lambda function trigger with a failure condition Specify Lambda function as the destination type Specify the error-handling Lambda function's Amazon Resource Name (ARN) as the resource
C. Enable AWS X-Ray active tracing on the initial Lambda function. Configure X-Ray to capture stack traces of the failed invocations. Invoke the error-handling Lambda function by including the stack traces in the event object.
D. Configure a Lambda function destination with a failure condition Specify Lambda function as the destination type Specify the error-handling Lambda function's Amazon Resource Name (ARN) as the resource

Answer: D

Explanation:
Explanation
Configuring a Lambda function destination with a failure condition is the best solution for invoking a second Lambda function to handle errors and log details. A Lambda function destination is a resource that Lambda sends events to after a function is invoked. The developer can specify the destination type as Lambda function and the ARN of the error-handling Lambda function as the resource. The developer can also specify the failure condition, which means that the destination is invoked only when the initial Lambda function fails. The destination event will include the response from the initial function, the request ID, and the timestamp. The other solutions are either not feasible or not efficient. Enabling AWS X-Ray active tracing on the initial Lambda function will help to monitor and troubleshoot the function performance, but it will not automatically invoke the error-handling Lambda function. Configuring a Lambda function trigger with a failure condition is not a valid option, as triggers are used to invoke Lambda functions, not to send events from Lambda functions.
Creating a status check alarm on the initial Lambda function will incur additional costs and complexity, and it will not capture the details of the failed invocations. References
* Using AWS Lambda destinations
* Asynchronous invocation - AWS Lambda
* AWS Lambda Destinations: What They Are and Why to Use Them
* AWS Lambda Destinations: A Complete Guide | Dashbird

NEW QUESTION # 113
A developer is building an application that stores objects in an Amazon S3 bucket. The bucket does not have versioning enabled. The objects are accessed rarely after 1 week. However, the objects must be immediately available at all times. The developer wants to optimize storage costs for the S3 bucket.
Which solution will meet this requirement?

A. Create an S3 Lifecycle rule to expire objects after 7 days.
B. Create an S3 Lifecycle rule to transition objects to S3 Glacier Flexible Retrieval after 7 days.
C. Create an S3 Lifecycle rule to transition objects to S3 Standard-Infrequent Access (S3 Standard-IA) after 7 days.
D. Create an S3 Lifecycle rule to delete objects that have delete markers.

Answer: C

Explanation:
Comprehensive Detailed and Lengthy Step-by-Step Explanation with All AWS Developer References:
1. Understanding the Use Case:
The goal is to store objects in an S3 bucket while optimizing storage costs. The key conditions are:
* Objects are accessed infrequently after 1 week.
* Objects must remain immediately accessible at all times.
2. AWS S3 Storage Classes Overview:
Amazon S3 offers various storage classes, each optimized for specific use cases:
* S3 Standard: Best for frequently accessed data with low latency and high throughput needs.
* S3 Standard-Infrequent Access (S3 Standard-IA): Optimized for infrequently accessed data but requires the same availability and immediate access as Standard storage. It provides lower storage costs but incurs retrieval charges.
* S3 Glacier Flexible Retrieval (formerly S3 Glacier): Designed for archival data with retrieval latency ranging from minutes to hours. This does not meet the requirement for "immediate access."
* S3 Glacier Deep Archive: Lowest-cost storage, suitable for rarely accessed data with retrieval times of hours.
3. Explanation of the Options:
* Option A:"Create an S3 Lifecycle rule to expire objects after 7 days."Expiring objects after 7 days deletes them permanently, which does not fulfill the requirement of retaining the objects for later infrequent access.
* Option B:"Create an S3 Lifecycle rule to transition objects to S3 Standard-Infrequent Access (S3 Standard-IA) after 7 days."This is the correct solution. S3 Standard-IA is ideal for objects accessed infrequently but still need to be available immediately. Transitioning objects to this storage class reduces storage costs while maintaining availability and low latency.
* Option C:"Create an S3 Lifecycle rule to transition objects to S3 Glacier Flexible Retrieval after 7 days."S3 Glacier Flexible Retrieval is a low-cost archival solution. However, it does not provide immediate access as retrieval requires minutes to hours. This option does not meet the requirement.
* Option D:"Create an S3 Lifecycle rule to delete objects that have delete markers."This option is irrelevant to the given use case, as it addresses versioning cleanup, which is not enabled in the described S3 bucket.
4. Implementation Steps for Option B:
To transition objects to S3 Standard-IA after 7 days:
* Navigate to the S3 Console:
* Sign in to the AWS Management Console and open the S3 service.
* Select the Target Bucket:
* Choose the bucket where the objects are stored.
* Set Up a Lifecycle Rule:
* Go to the Management tab.
* Under Lifecycle Rules, click Create lifecycle rule.
* Define the Rule Name and Scope:
* Provide a descriptive name for the rule.
* Specify whether the rule applies to the entire bucket or a subset of objects (using a prefix or tag filter).
* Configure Transitions:
* Choose Add transition.
* Specify that objects should transition to S3 Standard-IA after 7 days.
* Review and Save the Rule:
* Review the rule configuration and click Save.
5. Cost Optimization Benefits:
Transitioning to S3 Standard-IA results in cost savings as it offers:
* Lower storage costs compared to S3 Standard.
* Immediate access to objects when required.However, remember that there is a retrieval cost associated with S3 Standard-IA, so it is best suited for data with low retrieval frequency.
References:
* Amazon S3 Lifecycle Configuration Guide
* Amazon S3 Storage Classes
* AWS S3 Pricing
* AWS Documentation on S3 Standard-IA

NEW QUESTION # 114
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VALIDATE YOUR SKILLS WITH AMAZON DVA-C02 EXAM QUESTIONS

Validate Your Skills with Amazon DVA-C02 Exam Questions