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

Amazon DVA-C02 Practice Test - Questions Answers, Page 19

List of questions

Question 181

Report
Export
Collapse

A developer is creating an AWS Lambda function. The Lambda function needs an external library to connect to a third-party solution The external library is a collection of files with a total size of 100 MB The developer needs to make the external library available to the Lambda execution environment and reduce the Lambda package space

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

Create a Lambda layer to store the external library Configure the Lambda function to use the layer
Create a Lambda layer to store the external library Configure the Lambda function to use the layer
Create an Amazon S3 bucket Upload the external library into the S3 bucket. Mount the S3 bucket folder in the Lambda function Import the library by using the proper folder in the mount point.
Create an Amazon S3 bucket Upload the external library into the S3 bucket. Mount the S3 bucket folder in the Lambda function Import the library by using the proper folder in the mount point.
Load the external library to the Lambda function's /tmp directory during deployment of the Lambda package. Import the library from the /tmp directory.
Load the external library to the Lambda function's /tmp directory during deployment of the Lambda package. Import the library from the /tmp directory.
Create an Amazon Elastic File System (Amazon EFS) volume. Upload the external library to the EFS volume Mount the EFS volume in the Lambda function. Import the library by using the proper folder in the mount point.
Create an Amazon Elastic File System (Amazon EFS) volume. Upload the external library to the EFS volume Mount the EFS volume in the Lambda function. Import the library by using the proper folder in the mount point.
Suggested answer: A

Explanation:

Lambda Layers:These are designed to package dependencies that you can share across functions.

How to Use:

Create a layer, upload your 100MB library as a zip.

Attach the layer to your function.

In your function code, import the library from the standard layer path.

Lambda Layers:https://docs.aws.amazon.com/lambda/latest/dg/configuration-layers.html

asked 16/09/2024
Reselan Govender
33 questions

Question 182

Report
Export
Collapse

A company built an online event platform For each event the company organizes quizzes and generates leaderboards that are based on the quiz scores. The company stores the leaderboard data in Amazon DynamoDB and retains the data for 30 days after an event is complete The company then uses a scheduled job to delete the old leaderboard data

The DynamoDB table is configured with a fixed write capacity. During the months when many events occur, the DynamoDB write API requests are throttled when the scheduled delete job runs.

A developer must create a long-term solution that deletes the old leaderboard data and optimizes write throughput

Which solution meets these requirements?

Configure a TTL attribute for the leaderboard data
Configure a TTL attribute for the leaderboard data
Use DynamoDB Streams to schedule and delete the leaderboard data
Use DynamoDB Streams to schedule and delete the leaderboard data
Use AWS Step Functions to schedule and delete the leaderboard data.
Use AWS Step Functions to schedule and delete the leaderboard data.
Set a higher write capacity when the scheduled delete job runs
Set a higher write capacity when the scheduled delete job runs
Suggested answer: A

Explanation:

DynamoDB TTL (Time-to-Live):A native feature that automatically deletes items after a specified expiration time.

Efficiency:Eliminates the need for scheduled deletion jobs, optimizing write throughput by avoiding potential throttling conflicts.

Seamless Integration:TTL works directly within DynamoDB, requiring minimal development overhead.

DynamoDB TTL Documentation:https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/TTL.html

asked 16/09/2024
Lara Umemoto
49 questions

Question 183

Report
Export
Collapse

A developer must use multi-factor authentication (MFA) to access data in an Amazon S3 bucket that is in another AWS account. Which AWS Security Token Service (AWS STS) API operation should the developer use with the MFA information to meet this requirement?

AssumeRoleWithWebidentity
AssumeRoleWithWebidentity
GetFederationToken
GetFederationToken
AssumeRoleWithSAML
AssumeRoleWithSAML
AssumeRole
AssumeRole
Suggested answer: D

Explanation:

AWS STS AssumeRole:The central operation for assuming temporary security credentials, commonly used for cross-account access.

MFA Integration:TheAssumeRolecall can include MFA information to enforce multi-factor authentication.

Credentials for S3 Access:The returned temporary credentials would provide the necessary permissions to access the S3 bucket in the other account.

AWS STS AssumeRole Documentation:https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRole.html

asked 16/09/2024
Lethabane Reuben
33 questions

Question 184

Report
Export
Collapse

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?

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
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
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.
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.
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
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
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.
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.
Suggested answer: A

Explanation:

Lambda Destinations on Failure:Allow routing asynchronous function invocations to specified resources (like another Lambda function) upon failure.

Error Handling:The error-handling Lambda receives details about the failure, enabling logging and custom actions.

Direct Integration:This solution leverages native Lambda functionality for a simpler implementation.

asked 16/09/2024
Charalambos Pasvantis
40 questions

Question 185

Report
Export
Collapse

A company is preparing to migrate an application to the company's first AWS environment Before this migration, a developer is creating a proof-of-concept application to validate a model for building and deploying container-based applications on AWS.

Which combination of steps should the developer take to deploy the containerized proof-of-concept application with the LEAST operational effort? (Select TWO.)

Package the application into a zip file by using a command line tool Upload the package to Amazon S3
Package the application into a zip file by using a command line tool Upload the package to Amazon S3
Package the application into a container image by using the Docker CLI. Upload the image to Amazon Elastic Container Registry (Amazon ECR)
Package the application into a container image by using the Docker CLI. Upload the image to Amazon Elastic Container Registry (Amazon ECR)
Deploy the application to an Amazon EC2 instance by using AWS CodeDeploy.
Deploy the application to an Amazon EC2 instance by using AWS CodeDeploy.
Deploy the application to Amazon Elastic Kubernetes Service (Amazon EKS) on AWS Fargate
Deploy the application to Amazon Elastic Kubernetes Service (Amazon EKS) on AWS Fargate
Deploy the application to Amazon Elastic Container Service (Amazon ECS) on AWS Fargate
Deploy the application to Amazon Elastic Container Service (Amazon ECS) on AWS Fargate
Suggested answer: B, E

Explanation:

Containerization:Packaging the application as a container image promotes portability and standardization. Docker is the standard tool for containerization.

Amazon ECR:ECR is a managed container registry designed to work seamlessly with AWS container services.

Fargate:ECS Fargate provides serverless container orchestration, minimizing operational overhead for this proof-of-concept.

Docker:https://www.docker.com/

Amazon ECR:https://aws.amazon.com/ecr/

asked 16/09/2024
mariam alsallal
40 questions

Question 186

Report
Export
Collapse

A company runs an application on AWS The application stores data in an Amazon DynamoDB table Some queries are taking a long time to run These slow queries involve an attribute that is not the table's partition key or sort key

The amount of data that the application stores in the DynamoDB table is expected to increase significantly. A developer must increase the performance of the queries.

Which solution will meet these requirements'?

Increase the page size for each request by setting the Limit parameter to be higher than the default value Configure the application to retry any request that exceeds the provisioned throughput.
Increase the page size for each request by setting the Limit parameter to be higher than the default value Configure the application to retry any request that exceeds the provisioned throughput.
Create a global secondary index (GSI). Set query attribute to be the partition key of the index
Create a global secondary index (GSI). Set query attribute to be the partition key of the index
Perform a parallel scan operation by issuing individual scan requests in the parameters specify the segment for the scan requests and the total number of segments for the parallel scan.
Perform a parallel scan operation by issuing individual scan requests in the parameters specify the segment for the scan requests and the total number of segments for the parallel scan.
Turn on read capacity auto scaling for the DynamoDB table. Increase the maximum read capacity units (RCUs).
Turn on read capacity auto scaling for the DynamoDB table. Increase the maximum read capacity units (RCUs).
Suggested answer: B

Explanation:

Global Secondary Index (GSI):GSIs enable alternative query patterns on a DynamoDB table by using different partition and sort keys.

Addressing Query Bottleneck:By making the slow-query attribute the GSI's partition key, you optimize queries on that attribute.

Scalability:GSIs automatically scale to handle increasing data volumes.

Amazon DynamoDB Global Secondary Indexes:https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/GSI.html

asked 16/09/2024
Andrew Li
33 questions

Question 187

Report
Export
Collapse

A developer maintains a critical business application that uses Amazon DynamoDB as the primary data store The DynamoDB table contains millions of documents and receives 30-60 requests each minute The developer needs to perform processing in near-real time on the documents when they are added or updated in the DynamoDB table

How can the developer implement this feature with the LEAST amount of change to the existing application code?

Set up a cron job on an Amazon EC2 instance Run a script every hour to query the table for changes and process the documents
Set up a cron job on an Amazon EC2 instance Run a script every hour to query the table for changes and process the documents
Enable a DynamoDB stream on the table Invoke an AWS Lambda function to process the documents.
Enable a DynamoDB stream on the table Invoke an AWS Lambda function to process the documents.
Update the application to send a PutEvents request to Amazon EventBridge. Create an EventBridge rule to invoke an AWS Lambda function to process the documents.
Update the application to send a PutEvents request to Amazon EventBridge. Create an EventBridge rule to invoke an AWS Lambda function to process the documents.
Update the application to synchronously process the documents directly after the DynamoDB write
Update the application to synchronously process the documents directly after the DynamoDB write
Suggested answer: B

Explanation:

DynamoDB Streams:Capture near real-time changes to DynamoDB tables, triggering downstream actions.

Lambda for Processing:Lambda functions provide a serverless way to execute code in response to events like DynamoDB Stream updates.

Minimal Code Changes:This solution requires the least modifications to the existing application.

DynamoDB Streams:https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Streams.html

AWS Lambda:https://aws.amazon.com/lambda/

asked 16/09/2024
HC KONG
42 questions

Question 188

Report
Export
Collapse

A developer needs to build an AWS CloudFormation template that self-populates the AWS Region variable that deploys the CloudFormation template

What is the MOST operationally efficient way to determine the Region in which the template is being deployed?

Use the AWS:.Region pseudo parameter
Use the AWS:.Region pseudo parameter
Require the Region as a CloudFormation parameter
Require the Region as a CloudFormation parameter
Find the Region from the AWS::Stackld pseudo parameter by using the Fn::Split intrinsic function
Find the Region from the AWS::Stackld pseudo parameter by using the Fn::Split intrinsic function
Dynamically import the Region by referencing the relevant parameter in AWS Systems Manager Parameter Store
Dynamically import the Region by referencing the relevant parameter in AWS Systems Manager Parameter Store
Suggested answer: A

Explanation:

Pseudo Parameters:CloudFormation provides pseudo parameters that reference runtime context, including the current AWS Region.

Operational Efficiency:TheAWS::Regionpseudo parameter offers the most direct and self-contained way to obtain the Region dynamically within the template.

CloudFormation Pseudo Parameters:https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/pseudo-parameter-reference.html

asked 16/09/2024
Komalaharshini Basireddygari
42 questions

Question 189

Report
Export
Collapse

A company has an application that runs across multiple AWS Regions. The application is experiencing performance issues at irregular intervals. A developer must use AWS X-Ray to implement distributed tracing for the application to troubleshoot the root cause of the performance issues.

What should the developer do to meet this requirement?

Use the X-Ray console to add annotations for AWS services and user-defined services
Use the X-Ray console to add annotations for AWS services and user-defined services
Use Region annotation that X-Ray adds automatically for AWS services Add Region annotation for user-defined services
Use Region annotation that X-Ray adds automatically for AWS services Add Region annotation for user-defined services
Use the X-Ray daemon to add annotations for AWS services and user-defined services
Use the X-Ray daemon to add annotations for AWS services and user-defined services
Use Region annotation that X-Ray adds automatically for user-defined services Configure X-Ray to add Region annotation for AWS services
Use Region annotation that X-Ray adds automatically for user-defined services Configure X-Ray to add Region annotation for AWS services
Suggested answer: B

Explanation:

Distributed Tracing with X-Ray:X-Ray helps visualize request paths and identify bottlenecks in applications distributed across Regions.

Region Annotations (Automatic for AWS Services):X-Ray automatically adds a Region annotation to segments representing calls to AWS services. This aids in tracing cross-Region traffic.

Region Annotations (Manual for User-Defined):For segments representing calls to user-defined services in different Regions, the developer needs to add the Region annotation manually to enable comprehensive tracing.

AWS X-Ray:https://aws.amazon.com/xray/

asked 16/09/2024
Tomasz Woloszczak
36 questions

Question 190

Report
Export
Collapse

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'?

Use Amazon DynamoDB Accelerator (DAX) in front of the RDS database to provide a caching layer for the high volume of rapidly changing data
Use Amazon DynamoDB Accelerator (DAX) in front of the RDS database to provide a caching layer for the high volume of rapidly changing data
Set up Amazon S3 Transfer Acceleration on the RDS database to enhance the speed of data transfer from the databases to the application.
Set up Amazon S3 Transfer Acceleration on the RDS database to enhance the speed of data transfer from the databases to the application.
Add an Amazon CloudFront distribution in front of the RDS database to provide a caching layer for the high volume of rapidly changing data
Add an Amazon CloudFront distribution in front of the RDS database to provide a caching layer for the high volume of rapidly changing data
Create an Amazon ElastiCache for Redis cluster. Update the application code to use a write-through caching strategy and read the data from Redis.
Create an Amazon ElastiCache for Redis cluster. Update the application code to use a write-through caching strategy and read the data from Redis.
Suggested answer: D

Explanation:

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

asked 16/09/2024
Mostafa Mohamed
37 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?