A developer is building an AWS Lambda function that will dynamically generate and send a weekly newsletter to 100.000 users This newsletter contains both static text and images The developer needs a fast and highly scalable place to store the images that will be hyperlinked in the newsletter Where should the developer store these images?

Use an Amazon S3 backed Amazon CloudFront distribution with a high Time-to-Live (TTL) to maximize caching

Use an Amazon DynamoDB table with DynamoDB Streams and read capacity auto scaling enabled

Use an Amazon S3 bucket and S3 Transfer Acceleration to speed up the image download

Use an Amazon Aurora database with a public DNS endpoint and auto scaling enabled

Use an Amazon S3 backed Amazon CloudFront distribution with a high Time-to-Live (TTL) to maximize caching

A developer Is working with a Docker application that needs to be quickly deployed using AWS without changing the infrastructure or configuring health checks. The application should be configured so that changes and updates can be made automatically without any downtime Which solution will meet these requirements?

Use AWS Elastic Beanstalk for application deployment and select an all-at-once update policy.

Use AWS Elastic Beanstalk for application deployment and select a rolling deployment policy.

Deploy the Docker container on an Amazon EC2 instance in an Auto Scaling group and configure a health check on the EC2 instance

Deploy the Docker container using AWS Lambda and enable Amazon CloudWatch monitoring

A developer must build a mobile application that allows users to read and write data from an Amazon DynamoDB table to store user state for each unique user. The solution needs to limit data access to allow users access only to their own data Which solution below is the most secure?

Modify the DynamoDB table to allow public read and writes, then add client-side filtering

Embed AWS access credentials into the application and create DynamoDB queries that limit user access.

Use Amazon Cognito identity pools to assign unique identifiers and provide user access

Modify the DynamoDB table to allow public read and writes, then add client-side filtering

Create a web portal for users to create an account on AWS Directory Service

A developer is trying to get data from an Amazon DynamoDB table called demoman-table The developer configured the AWS CLI to use a specific 1AM user's credentials and executed the following command: aws dynamodb get-item table- name demoman-table --key '("id": <"N''; ''1993''}} ' The command returned errors and no rows were returned What is the MOST likely cause of these issues?

The 1AM user needs an associated policy with read access to demoman-table.

The command is incorrect; it should be rewritten to use : ut-i t am with a string argument.

The developer needs to log a ticket with AWS Support to enable access to the demoman-table.

Amazon DynamoDB cannot be accessed from the AWS CLI and needs to be called via the REST API

The 1AM user needs an associated policy with read access to demoman-table.

A photo sharing website gets millions of new images every week The images are stored in Amazon S3 under a formatted date prefix A developer wants to move images to a few S3 buckets for analysis and further processing Images are not required to be moved in real time What is the MOST efficient method for performing this task?

Use Amazon EC2 to batch pull images from multiple days and copy them to the other buckets

Use S3 PutObject events to Invoke AWS Lambda Then Lambda will copy the files to the other objects

Create an AWS Lambda function that will pull a day of Images from the origin bucket and copy them to the other buckets.

Use S3 Batch Operations to create jobs for images to be copied to each Individual bucket.

Use Amazon EC2 to batch pull images from multiple days and copy them to the other buckets

A developer is building an application using an Amazon API Gateway REST API backed by an AWS Lambda function that interacts with an Amazon DynamoDB table During testing, the developer observes high latency when making requests to the API How can the developer evaluate the end-to-end latency and identify performance bottlenecks?

Enable and configure AWS X-Ray tracing on API Gateway and the Lambda function Use X-Ray to trace and analyze user requests

Enable AWS CloudTrail logging and use the logs to map each latency and bottleneck

Enable and configure AWS X-Ray tracing on API Gateway and the Lambda function Use X-Ray to trace and analyze user requests

Enable Amazon CloudWatch Logs for the Lambda function Enable execution logs for API Gateway to view and analyze user request logs.

Enable VPC Flow Logs to capture and analyze network traffic within the VPC

A developer is building a WebSocket API using Amazon API Gateway. The payload sent to this API is JSON that includes an action key This key can have three different values create, update, and remove The developer must integrate with different routes based on the value of the action key of the incoming JSON payload.How can the developer accomplish this task with the LEAST amount of configuration?

Set the value of the route selection expression to $request.body action

Deploy the WebSocket API to three stages for the respective routes create, update, and remove

Create a new route key and set the name as action

Set the value of the route selection expression to action

Set the value of the route selection expression to $request.body action

Which of the following are good use cases for how Amazon ElastiCache can help an application?(Select TWO.)

Improve latency and throughput for read-heavy application workloads.

Improve performance of compute-intensive applications.

Improve the performance of S3 PUT operations

Improve the latency of deployments performed by AWS CodeDeploy

Improve latency and throughput for read-heavy application workloads.

Reduce the time required to merge AWS CodeCommit branches

Improve performance of compute-intensive applications.

A developer has code stored in an Amazon S3 bucket The code must be deployed as an AWS Lambda function across multiple accounts in the same Region as the S3 bucket The Lambda function will be deployed using an AWS CloudFormation template that is run for each account What is the MOST secure approach to allow access to the Lambda code in the S3 bucket?

Grant the CloudFormation execution role S3 list and get permissions Add a bucket policy to Amazon S3 with the Pnncipal of "AWS": [account numbers].

Grant the CloudFormation execution role S3 get permissions Add a bucket policy to Amazon S3 with the Principal of "".

Use a service-based link to grant the Lambda function S3 list and get permissions by explicitly adding the S3 bucket's account number in the resource

Use a service-based link to grant the Lambda function S3 get permissions and add a Resource of "*" to allow access to the S3 bucket.

A company process incoming documents from an Amazon S3 bucket. Users upload documents to an S3 bucket using a web user interface. Upon receiving files in S3, and AWS Lambda function is invoked to process the files, but the Lambda function times out intermittently.If the Lambda function is configured with the default settings, what will happen to the S3 event when there is a timeout exception?

The S3 event is discarded after the event is retried twice.

Notification of a failed S3 event is sent as an email through Amazon SNS.

The S3 event is sent to the default Deed Letter Queue.

The S3 event is processed unit it is successful.

The S3 event is discarded after the event is retried twice.

A developer has launched an application that calls an API by way of Amazon API Gateway. It offers information that changes several times a day, but is not updated in real time. The application has become so popular that the API endpoint is overloaded and that traffic to the endpoint must be reduced.What can the developer do to address the performance issues?

Enable API caching in Amazon ElastiCache.

Enable an Auto Scaling group on the endpoint service and database.

Create an additional API Gateway and use an Application Load Balancer

A developer wants to secure sensitive configuration date such as passwords, database strings, and application license codes. Access to this sensitive information must be tracked for future audit purposes.

In the Amazon EC2 Systems Manager Parameter Store; grant the application access with IAM

In an encrypted file on the source code bundle; grant the application access with Amazon IAM

In the Amazon EC2 Systems Manager Parameter Store; grant the application access with IAM

On an Amazon EBS encrypted volume attach the volume to an Amazon EC2 instance to access the data

As on object in on Amazon S3 bucket, grant on Amazon EC2 instance access with on IAM rob.

A developer has built an application using Amazon Cognito for authentication and authorization.After a user is successfully logged in to the application, the application creates a user record in an Amazon DynamoDB table. What is the correct flow to authenticate the user and create a record in the DynamoDB table?

Authenticate and get a token from an Amazon Cognito identity pool. Use the token to access DynamoDB.

Authenticate and get a token from an Amazon Cognito user pool. Use the token to access DynamoDB.

Authenticate and get a token from an Amazon Cognito identity pool. Use the token to access DynamoDB.

Authenticate and get a token from an Amazon Cognito user pool Exchange the token for AWS credentials with an Amazon Cognito identity pool. Use the credential to access DynamoDB.

Authenticate and get a token from an Amazon Cognito identity pool. Exchange the token for AWS credentials with an Amazon Cognito user pool. Use the credentials to access DynamoDB

A developer has designed a customer, facing application that is running on an Amazon EC2 instance.The application logs every request made to it. The application usually runs seamlessly, but a spike in traffic generates several logs that cause the disk to fill up and eventually run out of memory Company policy requires old to be centralized for analysis.Which long-term solution should the developer employ to prevent the issue from reoccurring?

Create an Amazon EventBridge (Amazon CloudWatch Events) rule to pull the logs from the instance. Configure the rule to delete the logs they have been pulled.

Install the Amazon CloudWatch agent on the instance to send the logs to CloudWatch. Delete the logs from the instance once they are sent to CloudWatch.

Enable AWS Auto Scaling on Amazon Elastic Block Store (Amazon EBS) to automatically add volumes to the instance when it reaches a specified threshold.

Enable AWS Auto Scaling on Amazon Elastic Block Store (Amazon EBS) a outomatically add volume to the instance when it reaches a specified threshold.

Create an Amazon EventBridge (Amazon CloudWatch Events) rule to pull the logs from the instance. Configure the rule to delete the logs they have been pulled.

A company recently experienced some unexpected downtime. After investigating, the company determines that a developer mistakenly terminated several production Amazon EC2 instances. What should the company do to BEST protect against accidental terminations in the future.

Enable EC2 termination protection on all production instances unless approval has been given through AWS Resource Access Manager.

Modify the developer group’s permissions policy to deny them access to delete production instances unless approved has been given through AWS Resource Access Manager.

Modify the developer group’s permission policy to require multi-factor authentication (MFA) only production instances are being delete Enable EC2 termination protection on production instances.

Enable EC2 termination protection on production instances. Deny the developer group’s permissions policy access to terminate instance. Create a new role that developer can assume when termination is necessary.

A developer works in an environment with multiple AWS accounts that have AWS Lambda functions processing the same 100 KB payloads. The developer wants to centralize the point of origin of the payloads to one account and have all the Lambda functions be invoked whenever the initiating event occurs in the parent account.How can the developer design the workflow in the MOST efficient way, so all the multi-account Lambda functions get invoked when the event occurs?

Subscribe all the multi-account Lambda functions to an Amazon SNS topic and make a SNS Publish API call with the payload to the SNS topic.

Create a Lambda function in the parent account and use cross-account IAM roles with the AWS Security Token Service (AWS STS) AssumeRole API call to make AWS Lambda invoke the API call to invoke all the cross-account Lambda functions.

Subscribe all the multi-account Lambda functions to an Amazon SNS topic and make a SNS Publish API call with the payload to the SNS topic.

Set up an Amazon SQS queue with the queue policy permitting the ReceiveMessage action for multi-account Lambda functions. Then send the payload to the SQS queue using the sqs:SendMessage permission and poll the queue using multi-account Lambda functions.

Use a worker on an Amazon EC2 instance to poll for the payload event. Invoke all Lambda functions using the Lambda Invoke API after using cross-account IAM roles with the AWS Security Token Service (AWS STS) AssumeRole API call.

A developer is creating a serverless web application and maintains different branches of code The developer wants to avoid updating the Amazon API Gateway target endpoint each time a new code push is performed What solution would allow me developer to perform a code push efficiently, without the need to update the API Gateway?

Create different stages in API Gateway, then associate API Gateway with aws Lambda

Associate different AWS Lambda functions to an API Gateway target endpoint

Create different stages in API Gateway, then associate API Gateway with aws Lambda

Create aliases and versions In AWS Lambda.

Tag the AWS Lambda functions with different names

When using the AWS Encryption SDK now does the developer keep track of the data encryption keys used to encrypt data?

The SDK encrypts the data encryption key and stores it (encrypted) as part of the returned ciphertext

The developer must manually Keep track of the data encryption keys used for each data object

The SDK encrypts the data encryption key and stores it (encrypted) as part of the returned ciphertext

The SDK stores the data encryption keys automatically m Amazon S3

The data encryption key is stored in the userdata for the EC2 instance

A developer is planning to use an Amazon API Gateway and AWS Lambda to provide a REST API The developer will have three distinct environments to manage development, test, and production. How should the application be deployed while minimizing the number of resources to manage?

Create one API Gateway with multiple stages with one Lambda function with multiple aliases.

Create a separate API Gateway and separate Lambda function for each environment in the same Region

Assign a Region for each environment and deploy API Gateway and Lambda to each Region

Create one API Gateway with multiple stages with one Lambda function with multiple aliases.

Create one API Gateway and one Lambda function, and use a REST parameter to identify tne environment.

A company wants to make sure that only one user from its Admin group has the permanent right to delete an Amazon EC2 resource There should be no changes in the existing policy under the Admin group What should a developer use to meet these requirements?

AWS Security Token Service (AWS STS)

A development team is migrating a monolithic application to Amazon API Gateway with AWS Lambda integrations using the AWS CD The zip deployment package exceeds the Lambda direct upload deployment package size limit. How should the Lambda function be deployed?

Upload a deployment package to Amazon S3 and reference Amazon S3 using the --code CLI parameter

Use the zip tile to create a Lambda layer and reference it using the -code CLI parameter

Create a Docker image and reference the image using the --docker-image CLI parameter

Upload a deployment package using the --zp-file CLI parameter

Upload a deployment package to Amazon S3 and reference Amazon S3 using the --code CLI parameter

A developer has written an application that writes data to Amazon DynamoDB- The DynamoDB table has been configured to use conditional writes During peak usage times, writes are failing due to a CondittonatCheckFailedException error How can the developer increase the application's reliability when multiple clients are attempting to write to the same record?

Implement a caching solution, such as DynamoDB Accelerator or Amazon ElastiCache.

Write the data to an Amazon SNS topic.

Increase the amount of write capacity for the table to anticipate short-term spikes or bursts m write operations

Implement a caching solution, such as DynamoDB Accelerator or Amazon ElastiCache.

Implement error retries and exponential backoff with jitter.

A company uses a third-party tool to build, bundle, and package rts applications on-premises. and store them locally The company uses Amazon EC2 instances to run its front-end applications How can an application be deployed from the source control system onto the EC2 instances?

Upload the bundle to an Amazon S3 bucket and specify the S3 location when doing a deployment using AWS CodeDeploy

Use AWS CodeDeploy and point it to the local storage to directly deploy a bundle m a zip. tar. or tar.gz format

Upload the bundle to an Amazon S3 bucket and specify the S3 location when doing a deployment using AWS CodeDeploy

Create a repository using AWS CodeCommit to automatically trigger a deployment to the EC2 instances

Use AWS CodeBuild to automatically deploy the latest build to the latest EC2 instances

A Lambda function processes data before sending it to a downstream service Each piece of data is approximately 1 MB in size After a security audit, the function t]is now required to encrypt the data before sending it downstream Which API call is required to perform the encryption?

Pass the data to KMS as part of the Encrypt API for encryption

Pass the data to the KMS ReEncrypi API for encryption

Use the KMS GenerateDataKey API to get an encryption key

Use the KMS GenerateDataKeyWithoutPlain.Text API to get an encryption key

Pass the data to KMS as part of the Encrypt API for encryption

A developer is using Amazon S3 as the event source that invokes a Lambda function when new objects are created in the bucket The event source mapping Information Is stored in the bucket notification configuration The developer is working with different versions of the Lambda function, and has a constant need to update notification configuration so that Amazon S3 invokes the correct version What is the MOST efficient and effective way to achieve mapping Between the S3 event and Lambda?

Use Lambda environment variables

A developer needs to manage AWS infrastructure as code and must be able to deploy multiple identical copies of the infrastructure, stage changes, and revert to previous versions. Which approach addresses these requirements?

Use AWS CloudFormation and AWS CodeCommit to deploy and manage the infrastructure.

Use cost allocation reports and AWS OpsWorks to deploy and manage the infrastructure.

Use Amazon CloudWatch metrics and alerts along with resource tagging to deploy and manage the infrastructure.

Use AWS Elastic Beanstalk and AWS CodeCommit to deploy and manage the infrastructure.

Use AWS CloudFormation and AWS CodeCommit to deploy and manage the infrastructure.

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? (Select TWO.)

Decrease the number of shards of the Kinesis data stream

Increase the timeout of the Lambda function

Increase the number of shards of the Kinesis data stream

Decrease the timeout of the Lambda function

Increase the memory that is allocated to the Lambda function.

Decrease the number of shards of the Kinesis data stream

Increase the timeout of the Lambda function

An organization is using Amazon API Gateway to provide a public API called "Survey" for collecting user feedback posts about its products The survey API has "DEV" and "PROD" stages and consists of one resource "/feedback" which allows users to retrieve/create/update single feedback posts.Aversion-controlled Swagger file is used to define a new API that retrieves multiple feedback posts To add the new API resource "/listFeedbackForProduct" the developer makes changes to the Swagger file defining an API uploads the fie to the organization's version control system, and uses the API Gateway Import API feature to apply the changes to the Survey API After successful import the developer runs the tests against the DEV stage and finds that resource VlistFeedbackForProduct" is not available.What is MOST likely the reason for resource not being available?

Even though the Swagger import was successful, resource creation failed afterwards

There is a propagation delay of several minutes in creating API Gateway resources after import

The developer needs to restart the API Gateway stage after import in order to apply the changes.

The developer needs to create a new deployment after import in order to deploy the changes

A developer is building an application that processes a stream of user-supplied data The data stream must be consumed by multiple Amazon EC2 based processing applications in parallel and in real time. Each processor must be able to resume without losing data if there is a service interruption.The Application Architect plans to add other processors in the near future, and wants to minimize the amount of data duplication involved. Which solution will satisfy these requirements?

Publish the data to Amazon Kinesis Data Firehose

Publish the data to Amazon CloudWatch Events.

Publish the data to Amazon Kinesis Data Streams.

A company is developing a serverless ecommerce web application The application needs to make coordinated, all-or-nothing changes to multiple items in the company's inventory table in Amazon DynamoDB. Which solution will meet these requirements?

Use the TransactWriteitem operation to group the changes Update the items in the table

Enable transactions for the DynamoDB table Use the BatchWriteltem operation to update the items.

Use the TransactWriteitem operation to group the changes Update the items in the table

Set up a FIFO queue using Amazon SQS. Group the changes in the queue. Update the table based on the grouped changes

Create a transaction table in an Amazon Aurora DB cluster to manage the transactions Write a backend process to sync the Aurora DB table and the DynamoDB table

An AWS Lambda function accesses two Amazon DynamoDB tables. A developer wants to improve the performance of the Lambda function by identifying bottlenecks in the function. How can the developer inspect the timing of the DynamoDB API calls?

Enable AWS X-Ray tracing for the function. View the traces from the X-Ray service.

Add DynamoDB as an event source to the Lambda function. View the performance with Amazon CloudWatch metrics

Place an Application Load Balancer (ALB) in front of the two DynamoDB tables. Inspect the ALB logs

Limit Lambda to no more than five concurrent invocations Monitor from the Lambda console

Enable AWS X-Ray tracing for the function. View the traces from the X-Ray service.

A developer has written a multi-threaded application that is running on a fleet of Amazon EC2 instances. The operations team has requested a graphical method to monitor the number of running threads over time. What is the MOST efficient way to fulfill this request?

Periodically write the current thread count to a table using Amazon DynarnoDB and use Amazon CloudFront to create a graph

Periodically send the thread count to AWS X-Ray segments, then generate a service graph on demand

Create a custom Amazon CloudWatch metric and periodically perform a PutMetricData call with the current thread count.

Periodically log thread count data to Amazon S3. Use Amazon Kinesis to process the data into a graph.

Periodically write the current thread count to a table using Amazon DynarnoDB and use Amazon CloudFront to create a graph

A developer is writing a new AWS Serverless Application Model (AWS SAM) template with a new AWS Lambda function The Lambda function runs complex code. The developer wants to test the Lambda function with more CPU power. What should the developer do to meet this requirement?

Increase the runtime engine version

Increase the number of Lambda layers.

A developer is working on a web application that runs on Amazon Elastic Container Service (Amazon ECS) and uses an Amazon DynamoDB table to store dat a. The application performs a large number of read requests against a small set of the table data.How can the developer improve the performance of these requests'? (Select TWO )

Create an Amazon ElastiCache cluster Configure the application to cache data in the cluster.

Increase the read capacity of the DynamoDB table

Create an Amazon ElastiCache cluster Configure the application to cache data in the cluster.

Create a DynamoDB Accelerator (DAX) cluster Configure the application to use the DAX cluster for DynamoDB requests

Configure the application to make strongly consistent read requests against the DynamoDB table

Increase the read capacity of the DynamoDB table

Enable DynamoDB adaptive capacity

A developer is changing the configuration for a CPU-intensive AWS Lambda function that runs once an hour. The function usually takes 45 seconds to run, but sometimes the run time is up to 1 minute. The timeout parameter is set to 3 minutes, and all other parameters are set to default.The developer needs to optimize the run time of this function.Which solution will meet this requirement?

Increase the function's memory.

Redeploy the function within the default VPC

Increase the function's memory.

Redeploy the function by using Lambda layers

Increase the function's reserved concurrency

A developer is creating an event handling system. To handle messages asynchronously, the developer created a standard Amazon SQS queue Quality assurance testing reveals that some events were processed multiple times. What is the recommended way to ensure the events are not processed more than once?

Convert the standard SQS queue into a FIFO queue

Change long polling to short polling.

Use a FIFO queue and configure deduplication

Convert the standard SQS queue into a FIFO queue

Send the messages with message timers

A developer is working on an ecommerce website. The developer wants to review server logs without logging in to each of the application servers individually. The website runs on multiple Amazon EC2 instances, is written in Python, and needs to be highly available.How can the developer update the application to meet these requirements with MINIMUM changes?

Install the unified Amazon CloudWatch agent on the EC2 instances. Configure the agent to push the application logs to CloudWatch.

Rewrite the application to be cloud native and to run on AWS Lambda where the logs can be reviewed in Amazon CloudWatch.

Set up centralized logging by using Amazon Elasticsearch Service (Amazon ES), Logstash, and Kibana

Scale down the application to one larger EC2 instance where only one instance is recording logs.

Install the unified Amazon CloudWatch agent on the EC2 instances. Configure the agent to push the application logs to CloudWatch.

Amazon DVA-C01 Practice Test 11 - Free Online Exam Prep & Questions

A developer is building an application on Amazon EC2 The developer encountered an "Access Denied" error on some of the API calls to AWS services while testing The developer needs to modify permissions that have been already given to the instance How can these requirements be met with minimal changes and minimum downtime?

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Amazon DVA-C01 Practice Test 11

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