ExamGecko
Login
Home / Amazon / DVA-C02 / List of questions
Ask Question

Amazon DVA-C02 Practice Test - Questions Answers, Page 4

List of questions

Question 31

Report
Export
Collapse

A developer has written an AWS Lambda function. The function is CPU-bound. The developer wants to ensure that the function returns responses quickly.

How can the developer improve the function's performance?

Increase the function's CPU core count.
Increase the function's CPU core count.
Increase the function's memory.
Increase the function's memory.
Increase the function's reserved concurrency.
Increase the function's reserved concurrency.
Increase the function's timeout.
Increase the function's timeout.
Suggested answer: B

Explanation:

The amount of memory you allocate to your Lambda function also determines how much CPU and network bandwidth it gets. Increasing the memory size can improve the performance of CPU-bound functions by giving them more CPU power. The CPU allocation is proportional to the memory allocation, so a function with 1 GB of memory has twice the CPU power of a function with 512 MB of memory. Reference: AWS Lambda execution environment

asked 16/09/2024
Cynthia Gutknecht
46 questions

Question 32

Report
Export
Collapse

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

BeforeInstall -> ApplicationStop -> ApplicationStart -> AfterInstall
BeforeInstall -> ApplicationStop -> ApplicationStart -> AfterInstall
ApplicationStop -> BeforeInstall -> AfterInstall -> ApplicationStart
ApplicationStop -> BeforeInstall -> AfterInstall -> ApplicationStart
BeforeInstall -> ApplicationStop -> ValidateService -> ApplicationStart
BeforeInstall -> ApplicationStop -> ValidateService -> ApplicationStart
ApplicationStop -> BeforeInstall -> ValidateService -> ApplicationStart
ApplicationStop -> BeforeInstall -> ValidateService -> ApplicationStart
Suggested answer: B

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]

asked 16/09/2024
Luis Maciel
42 questions

Question 33

Report
Export
Collapse

A company is building a serverless application on AWS. The application uses an AWS Lambda function to process customer orders 24 hours a day, 7 days a week. The Lambda function calls an external vendor's HTTP API to process payments.

During load tests, a developer discovers that the external vendor payment processing API occasionally times out and returns errors. The company expects that some payment processing API calls will return errors.

The company wants the support team to receive notifications in near real time only when the payment processing external API error rate exceed 5% of the total number of transactions in an hour. Developers need to use an existing Amazon Simple Notification Service (Amazon SNS) topic that is configured to notify the support team.

Which solution will meet these requirements?

Write the results of payment processing API calls to Amazon CloudWatch. Use Amazon CloudWatch Logs Insights to query the CloudWatch logs. Schedule the Lambda function to check the CloudWatch logs and notify the existing SNS topic.
Write the results of payment processing API calls to Amazon CloudWatch. Use Amazon CloudWatch Logs Insights to query the CloudWatch logs. Schedule the Lambda function to check the CloudWatch logs and notify the existing SNS topic.
Publish custom metrics to CloudWatch that record the failures of the external payment processing API calls. Configure a CloudWatch alarm to notify the existing SNS topic when error rate exceeds the specified rate.
Publish custom metrics to CloudWatch that record the failures of the external payment processing API calls. Configure a CloudWatch alarm to notify the existing SNS topic when error rate exceeds the specified rate.
Publish the results of the external payment processing API calls to a new Amazon SNS topic. Subscribe the support team members to the new SNS topic.
Publish the results of the external payment processing API calls to a new Amazon SNS topic. Subscribe the support team members to the new SNS topic.
Write the results of the external payment processing API calls to Amazon S3. Schedule an AmazonAthena query to run at regular intervals. Configure Athena to send notifications to the existing SNS topic when the error rate exceeds the specified rate.
Write the results of the external payment processing API calls to Amazon S3. Schedule an AmazonAthena query to run at regular intervals. Configure Athena to send notifications to the existing SNS topic when the error rate exceeds the specified rate.
Suggested answer: B

Explanation:

Amazon CloudWatch is a service that monitors AWS resources and applications. The developer can publish custom metrics to CloudWatch that record the failures of the external payment processing API calls. The developer can configure a CloudWatch alarm to notify the existing SNS topic when the error rate exceeds 5% of the total number of transactions in an hour. This solution will meet the requirements in a near real-time and scalable way.

Reference:

[What Is Amazon CloudWatch? - Amazon CloudWatch]

[Publishing Custom Metrics - Amazon CloudWatch]

[Creating Amazon CloudWatch Alarms - Amazon CloudWatch]

asked 16/09/2024
Nicola Pinotti
52 questions

Question 34

Report
Export
Collapse

A company is offering APIs as a service over the internet to provide unauthenticated read access to statistical information that is updated daily. The company uses Amazon API Gateway and AWS Lambda to develop the APIs. The service has become popular, and the company wants to enhance the responsiveness of the APIs.

Which action can help the company achieve this goal?

Enable API caching in API Gateway.
Enable API caching in API Gateway.
Configure API Gateway to use an interface VPC endpoint.
Configure API Gateway to use an interface VPC endpoint.
Enable cross-origin resource sharing (CORS) for the APIs.
Enable cross-origin resource sharing (CORS) for the APIs.
Configure usage plans and API keys in API Gateway.
Configure usage plans and API keys in API Gateway.
Suggested answer: A

Explanation:

Amazon API Gateway is a service that enables developers to create, publish, maintain, monitor, and secure APIs at any scale. The developer can enable API caching in API Gateway to cache responses from the backend integration point for a specified time-to-live (TTL) period. This can improve the responsiveness of the APIs by reducing the number of calls made to the backend service.

Reference:

[What Is Amazon API Gateway? - Amazon API Gateway]

[Enable API Caching to Enhance Responsiveness - Amazon API Gateway]

asked 16/09/2024
Bonnie Lau
36 questions

Question 35

Report
Export
Collapse

A developer wants to store information about movies. Each movie has a title, release year, and genre. The movie information also can include additional properties about the cast and production crew. This additional information is inconsistent across movies. For example, one movie might have an assistant director, and another movie might have an animal trainer.

The developer needs to implement a solution to support the following use cases:

For a given title and release year, get all details about the movie that has that title and release year.

For a given title, get all details about all movies that have that title.

For a given genre, get all details about all movies in that genre.

Which data store configuration will meet these requirements?

Create an Amazon DynamoDB table. Configure the table with a primary key that consists of the title as the partition key and the release year as the sort key. Create a global secondary index that uses the genre as the partition key and the title as the sort key.
Create an Amazon DynamoDB table. Configure the table with a primary key that consists of the title as the partition key and the release year as the sort key. Create a global secondary index that uses the genre as the partition key and the title as the sort key.
Create an Amazon DynamoDB table. Configure the table with a primary key that consists of the genre as the partition key and the release year as the sort key. Create a global secondary index that uses the title as the partition key.
Create an Amazon DynamoDB table. Configure the table with a primary key that consists of the genre as the partition key and the release year as the sort key. Create a global secondary index that uses the title as the partition key.
On an Amazon RDS DB instance, create a table that contains columns for title, release year, and genre. Configure the title as the primary key.
On an Amazon RDS DB instance, create a table that contains columns for title, release year, and genre. Configure the title as the primary key.
On an Amazon RDS DB instance, create a table where the primary key is the title and all other data is encoded into JSON format as one additional column.
On an Amazon RDS DB instance, create a table where the primary key is the title and all other data is encoded into JSON format as one additional column.
Suggested answer: A

Explanation:

Amazon DynamoDB is a fully managed NoSQL database service that provides fast and consistent performance with seamless scalability. The developer can create a DynamoDB table and configure the table with a primary key that consists of the title as the partition key and the release year as the sort key. This will enable querying for a given title and release year efficiently. The developer can also create a global secondary index that uses the genre as the partition key and the title as the sort key.

This will enable querying for a given genre efficiently. The developer can store additional properties about the cast and production crew as attributes in the DynamoDB table. These attributes can have different data types and structures, and they do not need to be consistent across items.

Reference:

[Amazon DynamoDB]

[Working with Queries - Amazon DynamoDB]

[Working with Global Secondary Indexes - Amazon DynamoDB]

asked 16/09/2024
Carole Pie
46 questions

Question 36

Report
Export
Collapse

A developer maintains an Amazon API Gateway REST API. Customers use the API through a frontend UI and Amazon Cognito authentication.

The developer has a new version of the API that contains new endpoints and backward-incompatible interface changes. The developer needs to provide beta access to other developers on the team without affecting customers.

Which solution will meet these requirements with the LEAST operational overhead?

Define a development stage on the API Gateway API. Instruct the other developers to point the endpoints to the development stage.
Define a development stage on the API Gateway API. Instruct the other developers to point the endpoints to the development stage.
Define a new API Gateway API that points to the new API application code. Instruct the other developers to point the endpoints to the new API.
Define a new API Gateway API that points to the new API application code. Instruct the other developers to point the endpoints to the new API.
Implement a query parameter in the API application code that determines which code version to call.
Implement a query parameter in the API application code that determines which code version to call.
Specify new API Gateway endpoints for the API endpoints that the developer wants to add.
Specify new API Gateway endpoints for the API endpoints that the developer wants to add.
Suggested answer: A

Explanation:

Amazon API Gateway is a service that enables developers to create, publish, maintain, monitor, and secure APIs at any scale. The developer can define a development stage on the API Gateway API and instruct the other developers to point the endpoints to the development stage. This way, the developer can provide beta access to the new version of the API without affecting customers who use the production stage. This solution will meet the requirements with the least operational overhead.

Reference:

[What Is Amazon API Gateway? - Amazon API Gateway]

[Set up a Stage in API Gateway - Amazon API Gateway]

asked 16/09/2024
Brian Wilson
37 questions

Question 37

Report
Export
Collapse

A developer is creating an application that will store personal health information (PHI). The PHI needs to be encrypted at all times. An encrypted Amazon RDS for MySQL DB instance is storing the dat a. The developer wants to increase the performance of the application by caching frequently accessed data while adding the ability to sort or rank the cached datasets.

Which solution will meet these requirements?

Create an Amazon ElastiCache for Redis instance. Enable encryption of data in transit and at rest. Store frequently accessed data in the cache.
Create an Amazon ElastiCache for Redis instance. Enable encryption of data in transit and at rest. Store frequently accessed data in the cache.
Create an Amazon ElastiCache for Memcached instance. Enable encryption of data in transit and at rest. Store frequently accessed data in the cache.
Create an Amazon ElastiCache for Memcached instance. Enable encryption of data in transit and at rest. Store frequently accessed data in the cache.
Create an Amazon RDS for MySQL read replica. Connect to the read replica by using SSL. Configure the read replica to store frequently accessed data.
Create an Amazon RDS for MySQL read replica. Connect to the read replica by using SSL. Configure the read replica to store frequently accessed data.
Create an Amazon DynamoDB table and a DynamoDB Accelerator (DAX) cluster for the table. Store frequently accessed data in the DynamoDB table.
Create an Amazon DynamoDB table and a DynamoDB Accelerator (DAX) cluster for the table. Store frequently accessed data in the DynamoDB table.
Suggested answer: A

Explanation:

Amazon ElastiCache is a service that offers fully managed in-memory data stores that are compatible with Redis or Memcached. The developer can create an ElastiCache for Redis instance and enable encryption of data in transit and at rest. This will ensure that the PHI is encrypted at all times. The developer can store frequently accessed data in the cache and use Redis features such as sorting and ranking to enhance the performance of the application.

Reference:

[What Is Amazon ElastiCache? - Amazon ElastiCache]

[Encryption in Transit - Amazon ElastiCache for Redis]

[Encryption at Rest - Amazon ElastiCache for Redis]

asked 16/09/2024
Dario ZUGCIC
37 questions

Question 38

Report
Export
Collapse

A company has a multi-node Windows legacy application that runs on premises. The application uses a network shared folder as a centralized configuration repository to store configuration files in .xml format. The company is migrating the application to Amazon EC2 instances. As part of the migration to AWS, a developer must identify a solution that provides high availability for the repository.

Which solution will meet this requirement MOST cost-effectively?

Mount an Amazon Elastic Block Store (Amazon EBS) volume onto one of the EC2 instances. Deploy a file system on the EBS volume. Use the host operating system to share a folder. Update the application code to read and write configuration files from the shared folder.
Mount an Amazon Elastic Block Store (Amazon EBS) volume onto one of the EC2 instances. Deploy a file system on the EBS volume. Use the host operating system to share a folder. Update the application code to read and write configuration files from the shared folder.
Deploy a micro EC2 instance with an instance store volume. Use the host operating system to share a folder. Update the application code to read and write configuration files from the shared folder.
Deploy a micro EC2 instance with an instance store volume. Use the host operating system to share a folder. Update the application code to read and write configuration files from the shared folder.
Create an Amazon S3 bucket to host the repository. Migrate the existing .xml files to the S3 bucket. Update the application code to use the AWS SDK to read and write configuration files from Amazon S3.
Create an Amazon S3 bucket to host the repository. Migrate the existing .xml files to the S3 bucket. Update the application code to use the AWS SDK to read and write configuration files from Amazon S3.
Create an Amazon S3 bucket to host the repository. Migrate the existing .xml files to the S3 bucket. Mount the S3 bucket to the EC2 instances as a local volume. Update the application code to read and write configuration files from the disk.
Create an Amazon S3 bucket to host the repository. Migrate the existing .xml files to the S3 bucket. Mount the S3 bucket to the EC2 instances as a local volume. Update the application code to read and write configuration files from the disk.
Suggested answer: C

Explanation:

Amazon S3 is a service that provides highly scalable, durable, and secure object storage. The developer can create an S3 bucket to host the repository and migrate the existing .xml files to the S3 bucket. The developer can update the application code to use the AWS SDK to read and write configuration files from S3. This solution will meet the requirement of high availability for the repository in a cost-effective way.

Reference:

[Amazon Simple Storage Service (S3)] [Using AWS SDKs with Amazon S3]

asked 16/09/2024
Jeremy Cheeseborough
41 questions

Question 39

Report
Export
Collapse

A company wants to deploy and maintain static websites on AWS. Each website's source code is hosted in one of several version control systems, including AWS CodeCommit, Bitbucket, and GitHub.

The company wants to implement phased releases by using development, staging, user acceptance testing, and production environments in the AWS Cloud. Deployments to each environment must be started by code merges on the relevant Git branch. The company wants to use HTTPS for all data exchange. The company needs a solution that does not require servers to run continuously.

Which solution will meet these requirements with the LEAST operational overhead?

Host each website by using AWS Amplify with a serverless backend. Conned the repository branches that correspond to each of the desired environments. Start deployments by merging code changes to a desired branch.
Host each website by using AWS Amplify with a serverless backend. Conned the repository branches that correspond to each of the desired environments. Start deployments by merging code changes to a desired branch.
Host each website in AWS Elastic Beanstalk with multiple environments. Use the EB CLI to link each repository branch. Integrate AWS CodePipeline to automate deployments from version control code merges.
Host each website in AWS Elastic Beanstalk with multiple environments. Use the EB CLI to link each repository branch. Integrate AWS CodePipeline to automate deployments from version control code merges.
Host each website in different Amazon S3 buckets for each environment. Configure AWS CodePipeline to pull source code from version control. Add an AWS CodeBuild stage to copy source code to Amazon S3.
Host each website in different Amazon S3 buckets for each environment. Configure AWS CodePipeline to pull source code from version control. Add an AWS CodeBuild stage to copy source code to Amazon S3.
Host each website on its own Amazon EC2 instance. Write a custom deployment script to bundle each website's static assets. Copy the assets to Amazon EC2. Set up a workflow to run the script when code is merged.
Host each website on its own Amazon EC2 instance. Write a custom deployment script to bundle each website's static assets. Copy the assets to Amazon EC2. Set up a workflow to run the script when code is merged.
Suggested answer: A

Explanation:

AWS Amplify is a set of tools and services that enables developers to build and deploy full-stack web and mobile applications that are powered by AWS. AWS Amplify supports hosting static websites on Amazon S3 and Amazon CloudFront, with HTTPS enabled by default. AWS Amplify also integrates with various version control systems, such as AWS CodeCommit, Bitbucket, and GitHub, and allows developers to connect different branches to different environments. AWS Amplify automatically builds and deploys the website whenever code changes are merged to a connected branch, enabling phased releases with minimal operational overhead. Reference: AWS Amplify Console

asked 16/09/2024
Pavol Adamcin
35 questions

Question 40

Report
Export
Collapse

A company is migrating an on-premises database to Amazon RDS for MySQL. The company has readheavy workloads. The company wants to refactor the code to achieve optimum read performance for queries.

Which solution will meet this requirement with LEAST current and future effort?

Use a multi-AZ Amazon RDS deployment. Increase the number of connections that the code makes to the database or increase the connection pool size if a connection pool is in use.
Use a multi-AZ Amazon RDS deployment. Increase the number of connections that the code makes to the database or increase the connection pool size if a connection pool is in use.
Use a multi-AZ Amazon RDS deployment. Modify the code so that queries access the secondary RDS instance.
Use a multi-AZ Amazon RDS deployment. Modify the code so that queries access the secondary RDS instance.
Deploy Amazon RDS with one or more read replicas. Modify the application code so that queries use the URL for the read replicas.
Deploy Amazon RDS with one or more read replicas. Modify the application code so that queries use the URL for the read replicas.
Use open source replication software to create a copy of the MySQL database on an Amazon EC2 instance. Modify the application code so that queries use the IP address of the EC2 instance.
Use open source replication software to create a copy of the MySQL database on an Amazon EC2 instance. Modify the application code so that queries use the IP address of the EC2 instance.
Suggested answer: C

Explanation:

Amazon RDS for MySQL supports read replicas, which are copies of the primary database instance that can handle read-only queries. Read replicas can improve the read performance of the database by offloading the read workload from the primary instance and distributing it across multiple replicas. To use read replicas, the application code needs to be modified to direct read queries to the URL of the read replicas, while write queries still go to the URL of the primary instance. This solution requires less current and future effort than using a multi-AZ deployment, which does not provide read scaling benefits, or using open source replication software, which requires additional configuration and maintenance. Reference: Working with read replicas

asked 16/09/2024
Ronald Zegwaard
44 questions
Total 345 questions
Go to page: of 35
Search
Open VPLUS File
Convert VPLUS to PDF

Related questions

A developer is building an application that gives users the ability to view bank account from multiple sources in a single dashboard. The developer has automated the process to retrieve API credentials for these sources. The process invokes an AWS Lambda function that is associated with an AWS CloudFormation cotton resource. The developer wants a solution that will store the API credentials with minimal operational overhead. When solution will meet these requirements?
A company needs to distribute firmware updates to its customers around the world. Which service will allow easy and secure control of the access to the downloads at the lowest cost?
A developer is troubleshooting an application in an integration environment. In the application, an Amazon Simple Queue Service (Amazon SQS) queue consumes messages and then an AWS Lambda function processes the messages. The Lambda function transforms the messages and makes an API call to a third-party service. There has been an increase in application usage. The third-party API frequently returns an HTTP 429 Too Many Requests error message. The error message prevents a significant number of messages from being processed successfully. How can the developer resolve this issue?
An developer is building a serverless application by using the AWS Serverless Application Model (AWS SAM). The developer is currently testing the application in a development environment. When the application is nearly finsihed, the developer will need to set up additional testing and staging environments for a quality assurance team. The developer wants to use a feature of the AWS SAM to set up deployments to multiple environments. Which solution will meet these requirements with the LEAST development effort?
A developer is building an ecommerce application that uses multiple AWS Lambda functions. Each function performs a specific step in a customer order workflow, such as order processing and inventory management. The developer must ensure that the Lambda functions run in a specific order. Which solution will meet this requirement with the LEAST operational overhead?
A developer needs to store configuration variables for an application. The developer needs to set an expiration date and time for me configuration. The developer wants to receive notifications. Before the configuration expires. Which solution will meet these requirements with the LEAST operational overhead?
A developer is working on a Python application that runs on Amazon EC2 instances. The developer wants to enable tracing of application requests to debug performance issues in the code. Which combination of actions should the developer take to achieve this goal? (Select TWO)
A developer is creating an application that uses an AWS Lambda function to transform and load data from an Amazon S3 bucket. When the developer tests the application, the developer finds that some invocations of the Lambda function are slower than others. The developer needs to update the Lambda function to have predictable invocation durations that run with low latency. Any initialization activities, such as loading libraries and instantiating clients, must run during allocation time rather than during actual function invocations. Which combination of steps will meet these requirements? (Select TWO.)
A company has a serverless application that uses Amazon API Gateway backed by AWS Lambda proxy integration. The company is developing several backend APIs. The company needs a landing page to provide an overview of navigation to the APIs. A developer creates a new /LandingPage resource and a new GET method that uses mock integration. What should the developer do next to meet these requirements?
A developer uses AWS CloudFormation to deploy an Amazon API Gateway API and an AWS Step Functions state machine The state machine must reference the API Gateway API after the CloudFormation template is deployed The developer needs a solution that uses the state machine to reference the API Gateway endpoint. Which solution will meet these requirements MOST cost-effectively?