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Amazon DVA-C02 (AWS Certified Developer - Associate) exam is a certification exam designed for developers who work with Amazon Web Services (AWS). DVA-C02 exam validates a developer's ability to design, develop, and deploy cloud-based solutions using AWS services. It is intended for individuals who have experience in developing and maintaining AWS-based applications.

Amazon DVA-C02 exam covers a range of topics related to AWS development, including AWS core services like EC2, S3, and RDS, as well as application services like AWS Lambda, Amazon API Gateway, and AWS Elastic Beanstalk. DVA-C02 Exam also covers topics related to security, best practices for developing applications on AWS, and troubleshooting common issues. DVA-C02 exam consists of multiple-choice questions, and candidates have 130 minutes to complete it.

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Amazon DVA-C02 (AWS Certified Developer - Associate) Certification Exam is an excellent way for developers to showcase their skills and knowledge in cloud computing and application development. It is a valuable certification for professionals who want to advance their careers and stay competitive in a rapidly evolving industry.

Amazon AWS Certified Developer - Associate Sample Questions (Q91-Q96):

NEW QUESTION # 91
A company runs a batch processing application by using AWS Lambda functions and Amazon API Gateway APIs with deployment stages for development, user acceptance testing and production A development team needs to configure the APIs in the deployment stages to connect to third-party service endpoints.
Which solution will meet this requirement?

A. Store the third-party service endpoints in API Gateway stage variables that correspond to the stage
B. Store the third-party service endpoints in Lambda layers that correspond to the stage
C. Store the third-party service endpoint for each environment in AWS AppConfig
D. Encode the third-party service endpoints as query parameters in the API Gateway request URL.

Answer: A

Explanation:
API Gateway Stage Variables: These are designed for configuring dynamic values for your APIs in different deployment stages (dev, test, prod). Here's how to use them for third-party endpoints:
In the API Gateway console, access the "Stages" section of your API.
For each stage, create a stage variable named something like thirdPartyEndpoint.
Set the value of this variable to the actual endpoint URL for that specific environment.
When configuring API requests within your API Gateway method, reference this endpoint using ${stageVariables.thirdPartyEndpoint}.
Why Stage Variables Excel Here:
Environment Isolation: This approach keeps the endpoint configuration specific to each deployment stage, ensuring the right endpoints are used during development, testing, and production cycles.
Ease of Management: You manage the endpoints directly through the API Gateway console without additional infrastructure.
Reference:
Amazon API Gateway Stage Variables: https://docs.aws.amazon.com/apigateway/latest/developerguide/stage-variables.html

NEW QUESTION # 92
A developer wants the ability to roll back to a previous version of an AWS Lambda function in the event of errors caused by a new deployment.
How can the developer achieve this with MINIMAL impact on users?

A. Change the application to use an alias that points to the current version. Deploy the new version of the code. Update the alias to use the newly deployed version. If too many errors are encountered, point the alias back to the previous version.
B. Change the application to use an alias that points to the current version. Deploy the new version of the code. Update the alias to direct 10% of users to the newly deployed version. If too many errors are encountered, send 100% of traffic to the previous version.
C. Create three aliases: new, existing, and router. Point the existing alias to the current version.
Have the router alias direct 100% of users to the existing alias. Update the application to use the router alias. Deploy the new version of the code. Point the new alias to this version. Update the router alias to direct 10% of users to the new alias. If too many errors are encountered, send
100% of traffic to the existing alias.
D. Do not make any changes to the application. Deploy the new version of the code. If too many errors are encountered, point the application back to the previous version using the version number in the Amazon Resource Name (ARN).

Answer: A

NEW QUESTION # 93
A developer is creating an AWS Lambda function that will generate and export a file. The function requires 100 MB of temporary storage for temporary files while running. These files will not be needed after the function is complete.
How can the developer MOST efficiently handle the temporary files?

A. Store the files in Amazon Elastic Block Store (Amazon EBS) and delete the files at the end of the Lambda function.
B. Store the files in the /tmp directory and delete the files at the end of the Lambda function.
C. Copy the files to Amazon Elastic File System (Amazon EFS) and delete the files at the end of the Lambda function.
D. Copy the files to an Amazon S3 bucket with a lifecycle policy to delete the files.

Answer: B

Explanation:
The /tmp directory is a dedicated temporary storage location provided by AWS Lambda for storing temporary files during the execution of the function.
It's cost-effective and efficient because it doesn't involve additional AWS services or storage costs.
AWS Lambda automatically manages the /tmp directory for you, including clearing its contents after the function execution is complete. You don't need to explicitly delete the files; Lambda takes care of it.

NEW QUESTION # 94
A developer used the AWS SDK to create an application that aggregates and produces log records for 10 services. The application delivers data to an Amazon Kinesis Data Streams stream. Each record contains a log message with a service name, creation timestamp, and other log information. The stream has 15 shards in provisioned capacity mode. The stream uses service name as the partition key.
The developer notices that when all the services are producing logs,
ProvisionedThroughputExceededException errors occur during PutRecord requests. The stream metrics show that the write capacity the applications uses is below the provisioned capacity.
Which solution will most effectively resolve the throttling issue?

A. Change the capacity mode from provisioned to on-demand.
B. Use a separate Kinesis stream for each service to generate the logs.
C. Double the number of shards until the throttling errors stop occurring.
D. Change the partition key from service name to creation timestamp.

Answer: D

Explanation:
Issue Analysis:
The stream uses service name as the partition key. This can cause "hot partition" issues when a few service names generate significantly more logs compared to others, causing uneven distribution of data across shards.
Metrics show that the write capacity used is below provisioned capacity, which confirms that the throughput errors are due to shard-level limits and not overall capacity.
By changing the partition key to the creation timestamp (or a composite key including timestamp), the distribution of data across shards can be randomized, ensuring an even spread of records.
This resolves the shard overutilization issue and eliminates
ProvisionedThroughputExceededException.

NEW QUESTION # 95
A company has an ecommerce application. To track product reviews, the company's development team uses an Amazon DynamoDB table.
Every record includes the following
* A Review ID a 16-digrt universally unique identifier (UUID)
* A Product ID and User ID 16 digit UUlDs that reference other tables
* A Product Rating on a scale of 1-5
* An optional comment from the user
The table partition key is the Review ID. The most performed query against the table is to find the 10 reviews with the highest rating for a given product.
Which index will provide the FASTEST response for this query"?

A. A local secondary index (LSI) with Review ID as the partition key and Product ID as the sort key
B. A global secondary index (GSl) with Product ID as the partition key and Review ID as the sort key
C. A global secondary index (GSl) with Product ID as the partition key and Product Rating as the sort key
D. A local secondary index (LSI) with Product ID as the partition key and Product Rating as the sort key

Answer: C

Explanation:
Explanation
This solution allows the fastest response for the query because it enables the query to use a single partition key value (the Product ID) and a range of sort key values (the Product Rating) to find the matching items. A global secondary index (GSI) is an index that has a partition key and an optional sort key that are different from those on the base table. A GSI can be created at any time and can be queried or scanned independently of the base table. A local secondary index (LSI) is an index that has the same partition key as the base table, but a different sort key. An LSI can only be created when the base table is created and must be queried together with the base table partition key. Using a GSI with Product ID as the partition key and Review ID as the sort key will not allow the query to use a range of sort key values to find the highest ratings. Using an LSI with Product ID as the partition key and Product Rating as the sort key will not work because Product ID is not the partition key of the base table. Using an LSI with Review ID as the partition key and Product ID as the sort key will not allow the query to use a single partition key value to find the matching items.

NEW QUESTION # 96
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