An application is using a single-node Amazon ElastiCache for Redis instance to improve read performance. Over time, demand for the application has increased exponentially, which has increased the load on the ElastiCache instance. It is critical that this cache layer handles the load and is resilient in case of node failures. What can the Developer do to address the load and resiliency requirements?

Migrate to a Memcached cluster.

Migrate to an Amazon Elasticsearch Service cluster.

Vertically scale the ElastiCache instance.

A Developer is writing an application that runs on Amazon EC2 instances in an Auto Scaling group. The application data is stored in an Amazon DynamoDB table and records are constantly updated by all instances. An instance sometimes retrieves old data. The Developer wants to correct this by making sure the reads are strongly consistent. How can the Developer accomplish this?

Set ConsistentRead to true when calling GetItem.

Create a new DynamoDB Accelerator (DAX) table.

Set Consistency to strong when calling UpdateTable.

Use the GetShardIterator command.

A Developer has an application that must accept a large amount of incoming data streams and process the data before sending it to many downstream users. Which serverless solution should the Developer use to meet these requirements?

Amazon Kinesis Data Streams with AWS Lambda

Amazon RDS MySQL stored procedure with AWS Lambda

AWS Direct Connect with AWS Lambda

Amazon EC2 bash script with AWS Lambda

A company is using Amazon API Gateway to manage its public-facing API. The CISO requires that the APIs be used by test account users only. What is the MOST secure way to restrict API access to users of this particular AWS account?

Client-side SSL certificates for authentication

Cross-origin resource sharing (CORS)

A developer has an application that makes batch requests directly to Amazon DynamoDB by using the BatchGetltem low-level API operation. The responses frequently return values in the UnprocessedKeys element. Which actions should the developer take to increase the resiliency of the application when the batch response includes values in UnprocessedKeys? (Choose two.)

Retry the batch operation with exponential backoff and randomized delay.

Increase the provisioned read capacity of the DynamoDB tables that the operation accesses.

Retry the batch operation immediately.

Update the application to use an AWS software development kit (AWS SDK) to make the requests.

Increase the provisioned write capacity of the DynamoDB tables that the operation accesses.

A company requires that AWS Lambda functions written by Developers log errors so System Administrators can more effectively troubleshoot issues. What should the Developers implement to meet this need?

Report errors through logging statements in Lambda function code.

Publish errors to a dedicated Amazon SQS queue.

Create an Amazon CloudWatch Events event trigger based on certain Lambda events.

Set up an Amazon SNS topic that sends logging statements upon failure.

A company deploys a local news website on a fleet of Amazon EC2 instances behind an Application Load Balancer (ALB). The company wants to implement authentication for viewers through well-known social identity providers (IdPs). The company’s development team must use AWS native services in the solution. Which combination of actions will meet these requirements? (Choose two.)

Configure Amazon Cognito user pools with social IdPs

Configure an ALB listener to add a rule for authentication

Configure OpenID Connect (OIDC)-compliant IdP endpoints

Create an AWS Lambda authorizer as a target in the ALB target group

Use Lambda@Edge to authorize viewer requests in the ALB

A company's fleet of Amazon EC2 instances receives data from millions of users through an API. The servers batch the data, add an object for each user, and upload the objects to an S3 bucket to ensure high access rates. The object attributes are Customer ID, Server ID, TS-Server (TimeStamp and Server ID), the size of the object, and a timestamp. A Developer wants to find all the objects for a given user collected during a specified time range. After creating an S3 object created event, how can the Developer achieve this requirement?

Run an AWS Lambda function in response to the S3 object creation events that creates an Amazon DynamoDB record for every object with the Customer ID as the partition key and TS-Server as the sort key. Retrieve all the records using the Customer ID and TS-Server attributes.

Run an AWS Lambda function in response to the S3 object creation events that creates an Amazon DynamoDB record for every object with the Customer ID as the partition key and the Server ID as the sort key. Retrieve all the records using the Customer ID and Server ID attributes.

Run an AWS Lambda function in response to the S3 object creation events that creates an Amazon Redshift record for every object with the Customer ID as the partition key and TS-Server as the sort key. Retrieve all the records using the Customer ID and TS-Server attributes.

Run an AWS Lambda function in response to the S3 object creation events that creates an Amazon Redshift record for every object with the Customer ID as the partition key and the Server ID as the sort key. Retrieve all the records using the Customer ID and Server ID attributes.

A company is managing a NoSQL database on-premises to host a critical component of an application, which is starting to have scaling issues. The company wants to migrate the application to Amazon DynamoDB with the following considerations: ✑ Optimize frequent queries ✑ Reduce read latencies ✑ Plan for frequent queries on certain key attributes of the table Which solution would help achieve these objectives?

Create global secondary indexes on keys that are frequently queried. Add the necessary attributes into the indexes

Create local secondary indexes on keys that are frequently queried. DynamoDB will fetch needed attributes from the table.

Create DynamoDB global tables to speed up query responses. Use a scan to fetch data from the table.

Create an AWS Auto Scaling policy for the DynamoDB table.

A developer is writing an application that will process data delivered into an Amazon S3 bucket. The data is delivered approximately 10 times a day, and the developer expects the data will be processed in less than 1 minute, on average. How can the developer deploy and invoke the application with the lowest cost and lowest latency?

Deploy the application as an AWS Lambda function and invoke it with an S3 event notification.

Deploy the application as an AWS Lambda function and invoke it with an Amazon CloudWatch alarm triggered by an S3 object upload.

Deploy the application as an AWS Lambda function and invoke it with an Amazon CloudWatch scheduled event.

Deploy the application onto an Amazon EC2 instance and have it poll the S3 bucket for new objects.

A developer converted an existing program to an AWS Lambda function in the console. The program runs properly on a local laptop, but shows an `Unable to import module` error when tested in the Lambda console. Which of the following can fix the error?

Install the missing module and specify the current directory as the target. Create a ZIP file to include all files under the current directory, and upload the ZIP file.

Install the missing module in a lib directory. Create a ZIP file to include all files under the lib directory, and upload the ZIP file as dependency file.

In the Lambda code, invoke a Linux command to install the missing modules under the /usr/lib directory.

In the Lambda console, create a LB_LIBRARY_PATH environment and specify the value for the system library path.

A company has a two-tier application that consists of a frontend application and an Amazon RDS for MySQL database. The frontend application retrieves data from the database. The data consists of postal codes and their associated geographic coordinates The application performs many more database reads than writes. The application retrieves each postal code from the database thousands of times each day. A developer must improve the performance of the application to decrease latency. Which change should the developer make to the application to meet these requirements?

Modify the application to use a lazy loading caching strategy with a large TTL value.

Modify the application to use a lazy loading caching strategy with a small TTL value.

Modify the application to use a write-behind caching strategy.

Modify the application to use a write-through caching strategy.

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.

What is required to trace Lambda-based applications with AWS X-Ray?

Use an IAM execution role to give the Lambda function permissions and enable tracing.

Send logs from the Lambda application to an S3 bucket; trigger a Lambda function from the bucket to send data to AWS X-Ray.

Trigger a Lambda function from the application logs in Amazon CloudWatch to submit tracing data to AWS X-Ray.

Update and add AWS X-Ray daemon code to relevant parts of the Lambda function to set up the trace.

A development team is building a new application that will run on Amazon EC2 and use Amazon DynamoDB as a storage layer. The developers all have assigned IAM user accounts in the same IAM group. The developers currently can launch EC2 instances, and they need to be able to launch EC2 instances with an instance role allowing access to Amazon DynamoDB. Which AWS IAM changes are needed when creating an instance role to provide this functionality?

Create an IAM permissions policy attached to the role that allows access to DynamoDB. Add a trust policy to the role that allows Amazon EC2 to assume the role. Attach a permissions policy to the development group in AWS IAM that allows developers to use the iam:PassRole permission for the role.

Create an IAM permission policy attached to the role that allows access to DynamoDB. Add a trust policy to the role that allows DynamoDB to assume the role. Attach a permissions policy to the development group in AWS IAM that allows developers to use the iam:GetRole and iam:PassRole permissions for the role.

Create an IAM permission policy attached to the role that allows access to Amazon EC2. Add a trust policy to the role that allows DynamoDB to assume the role. Attach a permissions policy to the development group in AWS IAM that allows developers to use the iam:PassRole permission for the role.

Create an IAM permissions policy attached to the role that allows access to DynamoDB. Add a trust policy to the role that allows Amazon EC2 to assume the role. Attach a permissions policy to the development group in AWS IAM that allows developers to use the iam:GetRole permission for the role.

A developer is migrating code to an AWS Lambda function that will an Amazon Aurora MySQL database. What is the MOST secure way to authenticate the function to the database?

Create a policy with rds-db:connect access to the database and attach it to the role assigned to the Lambda function.

Store the database credentials as encrypted parameters in AWS Systems Manager Parameters Store. Obtain the credentials from Systems Manager when the Lambda function needs to connect to the database.

Store the database credentials in AWS Secrets Manager. Let Secrets Manager handle the rotation of the credentials, as required.

Store the database credentials in an Amazon S3 bucket that has a restrictive bucket policy for the Lambda role when accessing the credentials. Use AWS KMS to encrypt the data.

A development team uses AWS Elastic Beanstalk for application deployment. The team has configured the application version lifecycle policy to limit the number of application versions to 25. However, even with the lifecycle policy, the source bundle is deleted from the Amazon S3 source bucket. What should a developer do in the Elastic Beanstalk application version lifecycle settings to retain the source code in the S3 bucket?

Set Retention to Retain source bundle in S3.

Change the Set the application versions limit by total count setting to zero.

Disable the Lifecycle policy setting.

Change the Set the application version limit by age setting to zero.

An application uses an Amazon CloudFront distribution to deliver static content from Amazon S3 buckets that are set up in multiple AWS Regions around the world. A developer receives reports of problems with latency when cached content is updated. The developer plans to address this problem by redirecting requests on cache misses to the S3 bucket in the Region that is nearest to the user's country. The developer configures the distribution to cache based on the CloudFront-Viewer-Country request header. What should the developer do next to redirect requests on cache misses?

Create a Lambda@Edge function to redirect requests based on the value of the CloudFront-Viewer-Country header. Associate the Lambda@Edge function with the distribution's origin request event.

Create a CloudFront function to redirect requests based on the value of the CloudFront-Viewer-Country header. Associate the CloudFront function with the distribution's origin request event.

Create a Lambda@Edge function to redirect requests based on the value of the CloudFront-Viewer-Country header. Associate the Lambda@Edge function with the distribution's viewer request event.

Create a CloudFront function to redirect requests based on the value of the CloudFront-Viewer-Country header. Associate the CloudFront function with the distribution's viewer request event.

A developer is provided with an HTTPS clone URL for an AWS CodeCommit repository. What needs to be configured before cloning this repository?

Set up the Git credential helper to use an AWS credential profile, and enable the helper to send the path to the repositories.

Use AWS KMS to set up public and private keys for use with AWS CodeCommit.

Use AWS Certificate Manager to provision public and private SSL/TLS certificates.

Generate encryption keys using AWS CloudHSM, then export the key for use with AWS CodeCommitl.

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 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.

An IAM role is attached to an Amazon EC2 instance that explicitly denies access to all Amazon S3 API actions. The EC2 instance credentials file specifies the IAM access key and secret access key, which allow full administrative access. Given that multiple modes of IAM access are present for this EC2 instance, which of the following is correct?

The EC2 instance will be able to perform all actions on any S3 bucket.

The EC2 instance will only be able to list the S3 buckets.

The EC2 instance will only be able to list the contents of one S3 bucket at a time.

The EC2 instance will not be able to perform any S3 action on any S3 bucket.

Two containerized microservices are hosted on Amazon EC2 ECS. The first microservice reads an Amazon RDS Aurora database instance, and the second microservice reads an Amazon DynamoDB table. How can each microservice be granted the minimum privileges?

Set ECS_ENABLE_TASK_IAM_ROLE to true on EC2 instance boot in the ECS agent configuration file. Run the first microservice with an IAM role for ECS tasks with read-only access for the Aurora database. Run the second microservice with an IAM role for ECS tasks with read-only access to DynamoDB.

Set ECS_ENABLE_TASK_IAM_ROLE to false on EC2 instance boot in ECS agent configuration file. Run the first microservice with an IAM role for ECS tasks with read-only access for the Aurora database. Run the second microservice with an IAM role for ECS tasks with read-only access to DynamoDB.

Set ECS_ENABLE_TASK_IAM_ROLE to false on EC2 instance boot in the ECS agent configuration file. Grant the instance profile role read-only access to the Aurora database and DynamoDB.

Set ECS_ENABLE_TASK_IAM_ROLE to true on EC2 instance boot in the ECS agent configuration file. Grant the instance profile role read-only access to the Aurora database and DynamoDB.

A developer has written an AWS Lambda function using Java as the runtime environment. The developer wants to isolate a performance bottleneck in the code. Which steps should be taken to reveal the bottleneck?

Use the AWS X-Ray API to write trace data into X-Ray from strategic places within the code. Use the X-Ray console to analyze the resulting data.

Use the Amazon CloudWatch API to write timestamps to a custom CloudWatch metric. Use the CloudWatch console to analyze the resulting data.

Use the AWS X-Ray API to write trace data into X-Ray from strategic places within the code. Use the Amazon CloudWatch console to analyze the resulting data.

Use the Amazon CloudWatch API to write timestamps to a custom CloudWatch metric. Use the AWS X-Ray console to analyze the resulting data.

A developer added a new feature to an application running on an Amazon EC2 instance that uses Amazon SQS. After deployment, the developer noticed a significant increase in Amazon SQS costs. When monitoring the Amazon SQS metrics on Amazon CloudWatch, the developer found that on average one message per minute is posted on this queue. What can be done to reduce Amazon SQS costs for this application?

Increase the Amazon SQS queue polling timeout.

Scale down the Amazon SQS queue to the appropriate size for low traffic demand.

Configure push delivery via Amazon SNS instead of polling the Amazon SQS queue.

Use an Amazon SQS first-in, first-out (FIFO) queue instead of a standard queue.

A developer is creating an AWS Lambda function to process streaming data from an Amazon Kinesis data stream. When the Lambda function parses the data and encounters a malformed record from the stream, the Lambda function exits with an error. The developer is observing duplicate records downstream from the function. When the developer uses a different client to examine the Kinesis data stream output, no duplicate records are visible in the stream. What is the reason for the duplicate records?

The Lambda function did not handle the error, and the Lambda service attempted to reprocess the data.

The Lambda function did not advance the Kinesis data stream pointer to the next record after the error.

The Lambda event source used asynchronous invocation.

The Lambda function did not keep up with the amount of data that was coming from the Kinesis data stream.

A development team is designing a mobile app that requires multi-factor authentication. Which steps should be taken to achieve this? (Choose two.)

Use Amazon Cognito to create a user pool and create users in the user pool.

Enable multi-factor authentication for the Amazon Cognito user pool.

Send multi-factor authentication text codes to users with the Amazon SNS Publish API call in the app code.

Use AWS IAM to create IAM users.

Enable multi-factor authentication for the users created in AWS IAM.

Given the following AWS CloudFormation template: What is the MOST efficient way to reference the new Amazon S3 bucket from another AWS CloudFormation template?

Add an Export declaration to the Outputs section of the original template and use ImportValue in other templates.

Add Exported: true to the ContentBucket in the original template and use ImportResource in other templates.

Create a custom AWS CloudFormation resource that gets the bucket name from the ContentBucket resource of the first stack.

Use Fn::Include to include the existing template in other templates and use the ContentBucket resource directly.

A new mobile app uses Amazon Cognito web identity federation. Immediately after a user logs in, the following error occurs: AccessDenied -- Not authorized to perform sts:AssumeRoleWithWebIdentity A developer determines that the Amazon Cognito configuration appears to be correct. Which of the following could be the cause of the error?

The app’s developer incorrectly defined the authenticated principal role trust policy.

The app’s developer incorrectly defined the authenticated principal role access policy.

The app could not confirm the user in the user pool.

The app could not properly authenticate the user with the identity provider.

A developer receives the following error message when trying to launch or terminate an Amazon EC2 instance using a boto3 script. What should the developer do to correct this error message?

Implement an exponential backoff algorithm for optimizing the number of API requests made to Amazon EC2.

Assign an IAM role to the EC2 instance to allow necessary API calls on behalf of the client.

Increase the overall network bandwidth to handle higher API request rates.

Upgrade to the latest AWS CLI version so that boto3 can handle higher request rates.

A developer is updating an application deployed on AWS Elastic Beanstalk. The new version is incompatible with the old version. To successfully deploy the update, a full cutover to the new, updated version must be performed on all instances at one time, with the ability to roll back changes in case of a deployment failure in the new version. How can this be performed with the LEAST amount of downtime?

Deploy the new version in a new Elastic Beanstalk environment and swap environment URLs.

Use the Elastic Beanstalk All at once deployment policy to update all instances simultaneously.

Perform an Elastic Beanstalk Rolling with additional batch deployment.

Perform an Elastic Beanstalk Rolling deployment.

A developer is writing a web application that must share secure documents with end users. The documents are stored in a private Amazon S3 bucket. The application must allow only authenticated users to download specific documents when requested, and only for a duration of 15 minutes. How can the developer meet these requirements?

Create a presigned S3 URL using the AWS SDK with an expiration time of 15 minutes.

Copy the documents to a separate S3 bucket that has a lifecycle policy for deletion after 15 minutes.

Use server-side encryption with AWS KMS managed keys (SSE-KMS) and download the documents using HTTPS.

Modify the S3 bucket policy to only allow specific users to download the documents. Revert the change after 15 minutes.

A developer wants to send multi-value headers to an AWS Lambda function that is registered as a target with an Application Load Balancer (ALB). What should the developer do to achieve this?

Enable the multi-value headers on the ALB.

Place the Lambda function and target group in the same account.

Send the request body to the Lambda function with a size less than 1 MB.

Include the Base64 encoding status, status code, status description, and headers in the Lambda function.

An ecommerce startup is preparing for an annual sales event. As the traffic to the company's application increases, the development team wants to be notified when the Amazon EC2 instance's CPU utilization exceeds 80%. Which solution will meet this requirement?

Create a custom Amazon CloudWatch alarm that sends a notification to an Amazon SNS topic when the CPU utilization exceeds 80%.

Create a custom AWS CloudTrail alarm that sends a notification to an Amazon SNS topic when the CPU utilization exceeds 80%.

Create a cron job on the EC2 instance that executes the --describe-instance-information command on the host instance every 15 minutes and sends the results to an Amazon SNS topic.

Create an AWS Lambda function that queries the AWS CloudTrail logs for the CPUUtilization metric every 15 minutes and sends a notification to an Amazon SNS topic when the CPU utilization exceeds 80%.

A developer uses server-side encryption with Amazon S3 managed encryption keys (SSE-S3) to store data in Amazon S3. The developer needs to decrypt and download the encrypted objects by using the GetObject API call. What is the LEAST amount of information that the developer must provide in the API call to meet this requirement?

The S3 object key and the encryption key

The S3 object key and the Amazon Resource Name (ARN) of the AWS Key Management Service (AWS KMS) key

The S3 object key and a randomly salted Hash-based Message Authentication Code (HMAC) value of the encryption key

A global company has an application running on Amazon EC2 instances that serves image files from Amazon S3. User requests from the browser are causing high traffic, which results in degraded performance. Which optimization solution should a developer implement to increase application performance?

Use Amazon CloudFront to serve the content of images stored in Amazon S3.

Create multiple prefixes in the S3 bucket to increase the request rate.

Create an Amazon ElastiCache cluster to cache and serve frequently accessed items.

Submit a ticket to AWS Support to request a rate limit increase for the S3 bucket.

An application needs to encrypt data that is written to Amazon S3 where the keys are managed in an on-premises data center, and the encryption is handled by S3. Which type of encryption should be used?

Use server-side encryption with customer-provided keys

Use server-side encryption with Amazon S3-managed keys

Use server-side encryption with AWS KMS-managed keys

A development team is working on a mobile app that allows users to upload pictures to Amazon S3. The team expects the app will be used by hundreds of thousands of users during a single event simultaneously. Once the pictures are uploaded, the backend service will scan and parse the pictures for inappropriate content. Which approach is the MOST resilient way to achieve this goal, which also smooths out temporary volume spikes for the backend service?

Once a picture is uploaded to Amazon S3, publish the event to an Amazon SQS queue. Use the queue as an event source to trigger an AWS Lambda function. In the Lambda function, scan and parse the picture.

Develop an AWS Lambda function to check the upload folder in the S3 bucket. If new uploaded pictures are detected, the Lambda function will scan and parse them.

When the user uploads a picture, invoke an API hosted in Amazon API Gateway. The API will invoke an AWS Lambda function to scan and parse the picture.

Create a state machine in AWS Step Functions to check the upload folder in the S3 bucket. If a new picture is detected, invoke an AWS Lambda function to scan and parse it.

A development team wants to run their container workloads on Amazon ECS. Each application container needs to share data with another container to collect logs and metrics. What should the development team do to meet these requirements?

Create one task definition. Specify both containers in the definition. Mount a shared volume between those two containers.

Create two pod specifications. Make one to include the application container and the other to include the other container. Link the two pods together.

Create two task definitions. Make one to include the application container and the other to include the other container. Mount a shared volume between the two tasks.

Create a single pod specification. Include both containers in the specification. Mount a persistent volume to both containers.

A company has 25,000 employees and is growing. The company is creating an application that will be accessible to its employees only. A developer is using Amazon S3 to store images and Amazon RDS to store application data. The company requires that all employee information remain in the legacy Security Assertion Markup Language (SAML) employee directory only and is not interested in mirroring any employee information on AWS. How can the developer provide authorized access for the employees who will be using this application so each employee can access their own application data only?

Use an Amazon Cognito identity pool, federate with the SAML provider, and use an IAM condition key with a value for the cognito-identity.amazonaws.com :sub variable to grant access to the employees.

Use Amazon VPC and keep all resources inside the VPC, and use a VPC link for the S3 bucket with the bucket policy.

Use Amazon Cognito user pools, federate with the SAML provider, and use user pool groups with an IAM policy.

Create a unique IAM role for each employee and have each employee assume the role to access the application so they can access their personal data only.

A company has developed a new serverless application using AWS Lambda functions that will be deployed using the AWS Serverless Application Model (AWS SAM) CLI. Which step should the developer complete prior to deploying the application?

Bundle the serverless application using a SAM package

Compress the application to a .zip file and upload it into AWS Lambda

Test the new AWS Lambda function by first tracing it in AWS X-Ray

Create the application environment using the eb create my-env command

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A company wants to containerize an existing three-tier web application and deploy it to Amazon ECS Fargate. The application is using session data to keep track of user activities.
Which approach would provide the BEST user experience?