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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Development with AWS Services	32%	- AWS core services development 1. Amazon DynamoDB integration patterns 2. AWS Lambda functions development 3. Amazon S3 usage in applications - Application development and integration 1. API Gateway and REST APIs 2. Event-driven architectures with SNS/SQS
Topic 2: Deployment	24%	- CI/CD and deployment strategies 1. AWS CodeBuild and CodeDeploy usage 2. AWS CodePipeline workflows - Infrastructure as code 1. AWS CloudFormation templates
Topic 3: Troubleshooting and Optimization	18%	- Monitoring and logging 1. Amazon CloudWatch metrics and logs - Performance optimization 1. Fault tolerance and resilience patterns 2. Application performance tuning
Topic 4: Security	26%	- Application authentication and authorization 1. IAM roles and policies 2. Cognito user authentication - Data security 1. Secure API access patterns 2. Encryption using AWS KMS

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This practice exam software includes all DVA-C02 exam questions that have a high chance of appearing in the AWS Certified Developer - Associate exam. The DVA-C02 practice exam allows you to set the number of questions and time for each attempt and presents you with a self-assessment report showing your performance. You might not be able to get all-in-one practice material for the AWS Certified Developer - Associate DVA-C02 of such excellent quality anywhere else.

Amazon AWS Certified Developer - Associate Sample Questions (Q793-Q798):

NEW QUESTION # 793
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 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
B. 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
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 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.

Answer: A

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.
References:
DynamoDB Global Secondary Indexes: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide
/GSI.html
DynamoDB Query Operation: [invalid URL removed]
Key Condition Expressions: [invalid URL removed]

NEW QUESTION # 794
A developer is configuring an Amazon API Gateway REST API. The REST API contains a resource that implements a GET method. The GET method uses an integration request that has an integration type of Lambda function to invoke an AWS Lambda function. The developer configures the API to have multiple environment stages and stage variables.
During testing, the developer makes a single GET request to the API resource and received an
500 Internal Server Error. The developer must resolve the error.
Which solution will meet this requirement?

A. Configure reserved concurrency for the Lambda function.
B. Configure a resource-based policy on the Lambda function to grant the REST API permissions to call the backend integration.
C. Configure the Lambda function to use a Lambda layer for the REST API.
D. Deploy the REST API and the Lambda function in the same Availability Zone.

Answer: B

Explanation:
When API Gateway invokes a Lambda function, Lambda must explicitly allow that invocation.
This is done by adding a resource-based permission on the Lambda function that grants the API Gateway service (with the specific API/stage/method/resource ARN) the lambda:InvokeFunction permission. Missing or incorrect invoke permissions commonly results in API Gateway returning a
500 Internal Server Error for a Lambda integration.

NEW QUESTION # 795
A company wants to automate part of its deployment process. A developer needs to automate the process of checking for and deleting unused resources that supported previously deployed stacks but that are no longer used.
The company has a central application that uses the AWS Cloud Development Kit (AWS CDK) to manage all deployment stacks. The stacks are spread out across multiple accounts. The developer's solution must integrate as seamlessly as possible within the current deployment process.
Which solution will meet these requirements with the LEAST amount of configuration?

A. In the central AWS CDK application, write a handler function in the code that uses AWS SDK calls to check for and delete unused resources. Create an AWS CDK custom resource. Use the custom resource to attach the function code to an AWS Lambda function and to invoke the Lambda function when the deployment stack runs.
B. In the central AWS CDK application, write a handler function in the code that uses AWS SDK calls to check for and delete unused resources. Create an AWS CloudFormation template from a JSON file. Use the template to attach the function code to an AWS Lambda function and to invoke the Lambda function when the deployment stack runs.
C. In the central AWS CDK, write a handler function in the code that uses AWS SDK calls to check for and delete unused resources. Create an API in AWS Amplify. Use the API to attach the function code to an AWS Lambda function and to invoke the Lambda function when the deployment stack runs.
D. In the AWS Lambda console, write a handler function in the code that uses AWS SDK calls to check for and delete unused resources. Create an AWS CDK custom resource. Use the custom resource to import the Lambda function into the stack and to invoke the Lambda function when the deployment stack runs.

Answer: A

NEW QUESTION # 796
A developer is adding an Amazon SNS topic to an application. The topic has multiple subscribers, an Amazon SQS queue subscription named sqs-sub, and an email subscription named email- sub.
The developer wants the application to send all notifications to email-sub. Only messages that have an attribute of department with a value of finance must go to sqs-sub. Currently, neither subscription has a subscription filter policy.
Which solution will meet these requirements?

A. Create a subscription filter policy on email-sub that contains 'department': ['*']. Create a second subscription filter policy on sqs-sub that contains 'department': ['finance'].
B. Create a subscription filter policy on sqs-sub that contains 'department': ['finance'].
C. Create a subscription filter policy on email-sub that contains '*': ['*'].
D. Create a subscription filter policy on email-sub that contains 'department': ['finance']. Create a second subscription filter policy on sqs-sub that contains 'department': ['*'].

Answer: B

Explanation:
To send all notifications to email-sub, leave its filter policy unset (or set to match all messages by default). To ensure only messages with department = finance go to sqs-sub, apply a filter policy on sqs-sub with 'department': ['finance']. This configuration meets the requirements with the least configuration and no unnecessary filters.

NEW QUESTION # 797
For a deployment using AWS Code Deploy, what is the run order of the hooks for in-place deployments?

A. ApplicationStop -> BeforeInstall -> AfterInstall -> ApplicationStart
B. ApplicationStop -> BeforeInstall -> ValidateService -> ApplicationStart
C. BeforeInstall -> ApplicationStop -> ApplicationStart -> AfterInstall
D. BeforeInstall -> ApplicationStop -> ValidateService -> ApplicationStart

Answer: A

Explanation:
For in-place deployments, AWS CodeDeploy uses a set of predefined hooks that run in a specific order during each deployment lifecycle event. The hooks are ApplicationStop, BeforeInstall, AfterInstall, ApplicationStart, and ValidateService. The run order of the hooks for in-place deployments is as follows:
* ApplicationStop: This hook runs first on all instances and stops the current application that is running on the instances.
* BeforeInstall: This hook runs after ApplicationStop on all instances and performs any tasks required before installing the new application revision.
* AfterInstall: This hook runs after BeforeInstall on all instances and performs any tasks required after installing the new application revision.
* ApplicationStart: This hook runs after AfterInstall on all instances and starts the new application that has been installed on the instances.
* ValidateService: This hook runs last on all instances and verifies that the new application is running properly on the instances.
Reference: [AWS CodeDeploy lifecycle event hooks reference]

NEW QUESTION # 798
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