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Amazon AWS Certified Solutions Architect - Professional Sample Questions (Q340-Q345):

NEW QUESTION # 340
A company is building an application on Amazon EC2 instances that generates temporary transactional data. The application requires access to data storage that can provide configurable and consistent IOPS.
What should a solutions architect recommend?

A. Provision an EC2 instance with a General Purpose SSD (gp2) root volume. Configure the application to store its data in an Amazon S3 bucket.
B. Provision an EC2 instance with a Throughput Optimized HDD (st1) root volume and a Cold HDD (sc1) data volume.
C. Provision an EC2 instance with a Throughput Optimized HDD (st1) volume that will serve as the root and data volume.
D. Provision an EC2 instance with a General Purpose SSD (gp2) root volume and Provisioned IOPS SSD (io1) data volume.

Answer: D

NEW QUESTION # 341
A video processing company has an application that downloads images from an Amazon S3 bucket, processes the images, stores a transformed image in a second S3 bucket, and updates metadata about the image in an Amazon DynamoDB table. The application is written in Node.js and runs by using an AWS Lambda function.
The Lambda function is invoked when a new image is uploaded to Amazon S3.
The application ran without incident for a while. However, the size of the images has grown significantly. The Lambda function is now failing frequently with timeout errors. The function timeout is set to its maximum value. A solutions architect needs to refactor the application's architecture to prevent invocation failures. The company does not want to manage the underlying infrastructure.
Which combination of steps should the solutions architect take to meet these requirements? (Choose two.)

A. Modify the application to store images on Amazon Elastic File System (Amazon EFS) and to store metadata on an Amazon RDS DB instance. Adjust the Lambda function to mount the EFS file share.
B. Create a new Amazon Elastic Container Service (Amazon ECS) task definition with a compatibility type of AWS Fargate. Configure the task definition to use the new image in Amazon Elastic Container Registry (Amazon ECR). Adjust the Lambda function to invoke an ECS task by using the ECS task definition when a new file arrives in Amazon S3.
C. Modify the application deployment by building a Docker image that contains the application code.Publish the image to Amazon Elastic Container Registry (Amazon ECR).
D. Create an AWS Step Functions state machine with a Parallel state to invoke the Lambda function.Increase the provisioned concurrency of the Lambda function.
E. Create a new Amazon Elastic Container Service (Amazon ECS) task definition with a compatibility type of Amazon EC2. Configure the task definition to use the new image in Amazon Elastic Container Registry (Amazon ECR). Adjust the Lambda function to invoke an ECS task by using the ECS task definition when a new file arrives in Amazon S3.

Answer: B,D

Explanation:
Explanation
Create an AWS Step Functions state machine with a Parallel state to invoke the Lambda function. Increase the provisioned concurrency of the Lambda function.
AWS Step Functions is a service that lets you coordinate multiple AWS services such as AWS Lambda, Amazon S3, and Amazon DynamoDB into serverless workflows so you can build and update apps quickly.
Step Functions can help to split the image processing task into multiple steps and parallelize the processing with a parallel state, which will increase the overall performance and reduce the chance of timeout errors.
Additionally, by increasing the provisioned concurrency of the Lambda function, the system will be able to handle more requests simultaneously, which will help to prevent invocation failures.
Create a new Amazon Elastic Container Service (Amazon ECS) task definition with a compatibility type of AWS Fargate. Configure the task definition to use the new image in Amazon Elastic Container Registry (Amazon ECR). Adjust the Lambda function to invoke an ECS task by using the ECS task definition when a new file arrives in Amazon S3.
Using AWS Fargate or EC2 with Elastic Container Service (ECS) will allow the company to run the containerized image of their application without having to manage the underlying infrastructure. The lambda function can be adjusted to invoke an ECS task when a new file arrives in S3, allowing the application to process the images in a more efficient and scalable way. This solution will remove the timeout issue and prevent invocation failures.
Reference:
https://aws.amazon.com/step-functions/
https://aws.amazon.com/lambda/pricing/
https://aws.amazon.com/ecs/fargate/

NEW QUESTION # 342
A company is developing a new serverless API by using Amazon API Gateway and AWS Lambda. The company integrated the Lambda functions with API Gateway to use several shared libraries and custom classes.
A solutions architect needs to simplify the deployment of the solution and optimize for code reuse.
Which solution will meet these requirements?

A. Deploy the shared libraries, custom classes, and code for the API's Lambda functions to a Docker image. Upload the image to Amazon Elastic Container Registry (Amazon ECR). Configure the API's Lambda functions to use the Docker image as the deployment package.
B. Deploy the shared libraries and custom classes to a Docker container in Amazon Elastic Container Service (Amazon ECS) by using the AWS Fargate launch type. Deploy the API's Lambda functions as Zip packages. Configure the packages to use the deployed container as a Lambda layer.
C. Deploy the shared libraries and custom classes to a Docker image. Upload the image to Amazon Elastic Container Registry (Amazon ECR). Create a Lambda layer that uses the Docker image as the source.
Deploy the API's Lambda functions as Zip packages. Configure the packages to use the Lambda layer.
D. Deploy the shared libraries and custom classes into a Docker image. Store the image in an S3 bucket.
Create a Lambda layer that uses the Docker image as the source. Deploy the API's Lambda functions as Zip packages. Configure the packages to use the Lambda layer.

Answer: C

Explanation:
Explanation
Deploying the shared libraries and custom classes to a Docker image and uploading the image to Amazon Elastic Container Registry (Amazon ECR) and creating a Lambda layer that uses the Docker image as the source. Then, deploying the API's Lambda functions as Zip packages and configuring the packages to use the Lambda layer would meet the requirements for simplifying the deployment and optimizing for code reuse.
A Lambda layer is a distribution mechanism for libraries, custom runtimes, and other function dependencies. It allows you to manage your in-development function code separately from your dependencies, this way you can easily update your dependencies without having to update your entire function code.
By deploying the shared libraries and custom classes to a Docker image and uploading the image to Amazon Elastic Container Registry (ECR), it makes it easy to manage and version the dependencies. This way, the company can use the same version of the dependencies across different Lambda functions.
By creating a Lambda layer that uses the Docker image as the source, the company can configure the API's Lambda functions to use the layer, reducing the need to include the dependencies in each function package, and making it easy to update the dependencies across all functions at once.

NEW QUESTION # 343
A company is moving a business-critical application onto AWS. It is a traditional three-tier web application using an Oracle database. Data must be encrypted in transit and at rest. The database hosts 12 TB of data. Network connectivity to the source Oracle database over the internal is allowed, and the company wants to reduce the operational costs by using AWS Managed Services where possible. All primary keys only; however, it contains many Binary Large Object (BLOB) fields. It was not possible to use the database's native replication tools because of licensing restrictions.
Which database migration solution will result in the LEAST amount of impact to the application's availability?

A. Provision an Amazon EC2 instance and install the same Oracle database software. Create a backup of the source database using the supported tools. During the application maintenance window, restore the backup into the Oracle database running in the EC2 instance. Set up an Amazon RDS for Oracle instance, and create an import job between the database hosted in AWS.
Shut down the source database and switch over the database connections to the RDS instance when the job is complete.
B. Provision an Amazon RDS for Oracle instance. Host the RDS database within a virtual private cloud (VPC) subnet with internet access, and set up the RDS database as an encrypted Read Replica of the source database. Use SSL to encrypt the connection between the two databases.
Monitor the replication performance by watching the RDS ReplicaLag metric. During the application maintenance window, shut down the on-premises database and switch over the application connection to the RDS instance when there is no more replication lag. Promote the Read Replica into a standalone database instance.
C. Create a compressed full database backup on the on-premises Oracle database during an application maintenance window. While the backup is being performed, provision a 10 Gbps AWS Direct Connect connection to increase the transfer speed of the database backup files to Amazon S3, and shorten the maintenance window period. Use SSL/TLS to copy the files over the Direct Connect connection. When the backup files are successfully copied, start the maintenance window, and rise any of the Amazon RDS supported tools to import the data into a newly provisioned Amazon RDS for Oracle instance with encryption enabled. Wait until the data is fully loaded and switch over the database connections to the new database. Delete the Direct Connect connection to cut unnecessary charges.
D. Use AWS DMS to load and replicate the dataset between the on-premises Oracle database and the replication instance hosted on AWS. Provision an Amazon RDS for Oracle instance with Transparent Data Encryption (TDE) enabled and configure it as target for the replication instance.
Create a customer-managed AWS KMS master key to set it as the encryption key for the replication instance.
Use AWS DMS tasks to load the data into the target RDS instance. During the application maintenance window and after the load tasks reach the ongoing replication phase, switch the database connections to the new database.

Answer: D

NEW QUESTION # 344
A user authenticating with Amazon Cognito will go through a multi-step process to bootstrap their credentials.
Amazon Cognito has two different flows for authentication with public providers. Which of the following are the two flows?

A. Enhanced and basic
B. Public and private
C. Single step and multistep
D. Authenticated and non-authenticated

Answer: A

Explanation:
A user authenticating with Amazon Cognito will go through a multi-step process to bootstrap their credentials. Amazon Cognito has two different flows for authentication with public providers:
enhanced and basic.
http://docs.aws.amazon.com/cognito/devguide/identity/concepts/authentication-flow/

NEW QUESTION # 345
......

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