Amazon DVA-C02 Exam Practice Test Instant Access

Question 1

A company is using an AWS Lambda function to process records from an Amazon Kinesis data stream. The company recently observed slow processing of the records. A developer notices that the iterator age metric for the function is increasing and that the Lambda run duration is constantly above normal.

Which actions should the developer take to increase the processing speed? (Choose two.)

AIncrease the number of shards of the Kinesis data stream.

BDecrease the timeout of the Lambda function.

CIncrease the memory that is allocated to the Lambda function.

DDecrease the number of shards of the Kinesis data stream.

EIncrease the timeout of the Lambda function.

Answer : A, C

Increasing the number of shards of the Kinesis data stream will increase the throughput and parallelism of the data processing. Increasing the memory that is allocated to the Lambda function will also increase the CPU and network performance of the function, which will reduce the run duration and improve the processing speed. Option B is not correct because decreasing the timeout of the Lambda function will not affect the processing speed, but may cause some records to fail if they exceed the timeout limit. Option D is not correct because decreasing the number of shards of the Kinesis data stream will decrease the throughput and parallelism of the data processing, which will slow down the processing speed. Option E is not correct because increasing the timeout of the Lambda function will not affect the processing speed, but may increase the cost of running the function.

Question 2

A developer is building a serverless application by using AWS Serverless Application Model (AWS SAM) on multiple AWS Lambda functions.

When the application is deployed, the developer wants to shift 10% of the traffic to the new deployment of the application for the first 10 minutes after deployment. If there are no issues, all traffic must switch over to the new version.

Which change to the AWS SAM template will meet these requirements?

ASet the Deployment Preference Type to Canary10Percent10Minutes. Set the AutoPublishAlias property to the Lambda alias.

BSet the Deployment Preference Type to LinearlOPercentEvery10Minutes. Set AutoPubIishAIias property to the Lambda alias.

CSet the Deployment Preference Type to CanaryIOPercentIOMinutes. Set the PreTraffic and PostTraffic properties to the Lambda alias.

DSet the Deployment Preference Type to LinearlOPercentEveryIOMinutes. Set PreTraffic and Post Traffic properties to the Lambda alias.

Answer : A

The AWS Serverless Application Model (AWS SAM) comes built-in with CodeDeploy to provide gradual AWS Lambda deployments1. TheDeploymentPreferenceproperty in AWS SAM allows you to specify the type of deployment that you want. TheCanary10Percent10Minutesoption means that 10 percent of your customer traffic is immediately shifted to your new version.After 10 minutes, all traffic is shifted to the new version1.TheAutoPublishAliasproperty in AWS SAM allows AWS SAM to automatically create an alias that points to the updated version of the Lambda function1. Therefore, option A is correct.

Question 3

A developer is creating an Amazon DynamoDB table by using the AWS CLI The DynamoDB table must use server-side encryption with an AWS owned encryption key

How should the developer create the DynamoDB table to meet these requirements?

ACreate an AWS Key Management Service (AWS KMS) customer managed key. Provide the key's Amazon Resource Name (ARN) in the KMSMasterKeyld parameter during creation of the DynamoDB table

BCreate an AWS Key Management Service (AWS KMS) AWS managed key Provide the key's Amazon Resource Name (ARN) in the KMSMasterKeyld parameter during creation of the DynamoDB table

CCreate an AWS owned key Provide the key's Amazon Resource Name (ARN) in the KMSMasterKeyld parameter during creation of the DynamoDB table.

DCreate the DynamoDB table with the default encryption options

Answer : D

Default SSE in DynamoDB:DynamoDB tables are encrypted at rest by default using an AWS owned key (SSE-S3).

No Additional Action Needed:Creating a table without explicitly specifying a KMS key will use this default encryption.

DynamoDB Server-Side Encryption:https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Encryption

Question 4

A company is building a new application that runs on AWS and uses Amazon API Gateway to expose APIs Teams of developers are working on separate components of the application in parallel The company wants to publish an API without an integrated backend so that teams that depend on the application backend can continue the development work before the API backend development is complete.

Which solution will meet these requirements?

ACreate API Gateway resources and set the integration type value to MOCK Configure the method integration request and integration response to associate a response with an HTTP status code Create an API Gateway stage and deploy the API.

BCreate an AWS Lambda function that returns mocked responses and various HTTP status codes. Create API Gateway resources and set the integration type value to AWS_PROXY Deploy the API.

CCreate an EC2 application that returns mocked HTTP responses Create API Gateway resources and set the integration type value to AWS Create an API Gateway stage and deploy the API.

DCreate API Gateway resources and set the integration type value set to HTTP_PROXY. Add mapping templates and deploy the API. Create an AWS Lambda layer that returns various HTTP status codes Associate the Lambda layer with the API deployment

Answer : A

API Gateway Mocking:This feature is built for decoupling development dependencies. Here's the process:

Create resources and methods in your API Gateway.

Set the integration type to 'MOCK'.

Define Integration Responses, mapping HTTP status codes to desired mocked responses (JSON, etc.).

Deployment and Use:

Create a deployment stage for the API.

Frontend teams can call this API and get the mocked responses without a real backend.

Mocking API Gateway APIs:https://docs.aws.amazon.com/apigateway/latest/developerguide/how-to-mock-integration.html

Question 5

A developer is migrating a containerized application from an on-premises environment to an Amazon ECS cluster.

In the on-premises environment, the container uses a Docker file to store the application. Service dependency configurations such as databases, caches, and storage volumes are stored in a docker-compose.yml file.

Both files are located at the top level of the code base that the developer needs to containerize. When the developer deploys the code to Amazon ECS, the instructions from the Docker file are carried out. However, none of the configurations from docker-compose.yml are applied.

The developer needs to resolve the error and ensure the configurations are applied.

AStore the file path for the docker-compose.yml file as a Docker label. Add the label to the ECS cluster's container details.

BAdd the details from the docker-compose.yml file to an ECS task definition. Associate the task with the ECS cluster.

CCreate a namespace in the ECS cluster. Associate the docker-compose.yml file to the namespace.

DUpdate the service type of the ECS cluster to REPLICA, and redeploy the stack.

Answer : B

Why Option B is Correct:

Amazon ECS does not natively process docker-compose.yml files. Instead, the configurations from docker-compose.yml must be converted into ECS-compatible configurations within a task definition. Task definitions are the primary way to specify container configurations in ECS, including service dependencies like databases, caches, and volumes.

Steps to Resolve the Error:

Extract the configurations from the docker-compose.yml file.

Map the dependencies and settings to the appropriate ECS task definition fields.

Deploy the task definition to the ECS cluster.

Why Other Options are Incorrect:

Option A: Docker labels do not directly impact ECS task execution or integrate with ECS service configurations.

Option C: ECS namespaces do not exist as a feature.

Option D: Changing the service type to REPLICA does not resolve the issue of missing service dependency configurations.

AWS Documentation Reference:

Amazon ECS Task Definitions

Migrating Docker Compose Workloads to ECS

Question 6

A developer is creating a template that uses AWS CloudFormation to deploy an application. The application is serverless and uses Amazon API Gateway, Amazon DynamoDB, and AWS Lambda.

Which AWS service or tool should the developer use to define serverless resources in YAML?

ACloudFormation serverless intrinsic functions

BAWS Elastic Beanstalk

CAWS Serverless Application Model (AWS SAM)

DAWS Cloud Development Kit (AWS CDK)

Answer : C

AWS Serverless Application Model (AWS SAM) is an open-source framework that enables developers to build and deploy serverless applications on AWS. AWS SAM uses a template specification that extends AWS CloudFormation to simplify the definition of serverless resources such as API Gateway, DynamoDB, and Lambda. The developer can use AWS SAM to define serverless resources in YAML and deploy them using the AWS SAM CLI.

[What Is the AWS Serverless Application Model (AWS SAM)? - AWS Serverless Application Model]

[AWS SAM Template Specification - AWS Serverless Application Model]

Question 7

A company has a social media application that receives large amounts of traffic User posts and interactions are continuously updated in an Amazon RDS database The data changes frequently, and the data types can be complex The application must serve read requests with minimal latency

The application's current architecture struggles to deliver these rapid data updates efficiently The company needs a solution to improve the application's performance.

Which solution will meet these requirements'?

AUse Amazon DynamoDB Accelerator (DAX) in front of the RDS database to provide a caching layer for the high volume of rapidly changing data

BSet up Amazon S3 Transfer Acceleration on the RDS database to enhance the speed of data transfer from the databases to the application.

CAdd an Amazon CloudFront distribution in front of the RDS database to provide a caching layer for the high volume of rapidly changing data

DCreate an Amazon ElastiCache for Redis cluster. Update the application code to use a write-through caching strategy and read the data from Redis.

Answer : D

Amazon ElastiCache for Redis:An in-memory data store known for extremely low latency, ideal for caching frequently accessed, complex data.

Write-Through Caching:Ensures that data is always consistent between the cache and the database. Writes go to both Redis and RDS.

Performance Gains:Redis handles reads with minimal latency, offloading the RDS database and improving the application's responsiveness.

Amazon ElastiCache for Redis Documentation:https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/

Caching Strategies:https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/Strategies.html

Amazon AWS Certified Developer - Associate DVA-C02 Exam Practice Test