- (Exam Topic 2)
A company is migrating a legacy application from an on-premises data center to AWS. The application uses MangeDB as a key-value database According to the company's technical guidelines, all Amazon EC2 instances must be hosted in a private subnet without an internet connection In addition, all connectivity between applications and databases must be encrypted. The database must be able to scale based on demand
Which solution will meet these requirements?

1. A. Create new Amazon DocumentDB (with MangeDB compatibility) tables for the application with Provisioned IOPS volumes Use the instance endpoint to connect to Amazon DocumentDB
2. B. Create new Amazon DynamoDB tables for the application with on-demand capacity Use a gateway VPC endpoint for DynamoDB to connect lo the DynamoDB tables
3. C. Create new Amazon DynamoDB tables for the application with on-demand capacity Use an interface VPC endpoint for DynamoDB to connect to the DynamoDB tables
4. D. Create new Amazon DocumentDB (with MangeDB compatibility) tables for the application with Provisioned IOPS volumes Use the cluster endpoint to connect to Amazon DocumentDB

Correct Answer: C

- (Exam Topic 2)
A company has more than 10.000 sensors that send data to an on-premises Apache Kafka server by using the Message Queuing Telemetry Transport (MQTT) protocol . The on-premises Kafka server transforms the data and then stores the results as objects in an Amazon S3 bucket
Recently, the Kafka server crashed. The company lost sensor data while the server was being restored A solutions architect must create a new design on AWS that is highly available and scalable to prevent a similar occurrence
Which solution will meet these requirements?

1. A. Launch two Amazon EC2 instances to host the Kafka server in an active/standby configuration across two Availability Zone
2. B. Create a domain name in Amazon Route 53 Create a Route 53 failover policy Route the sensors to send the data to the domain name
3. C. Migrate the on-premises Kafka server to Amazon Managed Streaming for Apache Kafka (Amazon MSK). Create a Network Load Balancer (NLB) that points to the Amazon MSK broke
4. D. Enable NLB health checks Route the sensors to send the data to the NLB.
5. E. Deploy AWS loT Core, and connect it to an Amazon Kinesis Data Firehose delivery stream Use an AWS Lambda function to handle data transformation Route the sensors to send the data to AWS loT Core
6. F. Deploy AWS loT Core, and launch an Amazon EC2 instance to host the Kafka server Configure AWS loT Core to send the data to the EC2 instance Route the sensors to send the data to AWSIoT Core.

Correct Answer: A

- (Exam Topic 2)
A company that develops consumer electronics with offices in Europe and Asia has 60 TB of software images stored on premises in Europe. The company wants to transfer the images to an Amazon S3 bucket in the ap-northeast-1 Region. New software images are created daily and must be encrypted in transit. The company needs a solution that does not require custom development to automatically transfer all existing and new software images to Amazon S3.
What is the next step in the transfer process?

1. A. Deploy an AWS DataSync agent and configure a task to transfer the images to the S3 bucket.
2. B. Configure Amazon Kinesis Data Firehose to transfer the images using S3 Transfer Acceleration.
3. C. Use an AWS Snowball device to transfer the images with the S3 bucket as the target.
4. D. Transfer the images over a Site-to-Site VPN connection using the S3 API with multipart upload.

Correct Answer: A

- (Exam Topic 2)
An auction website enables users to bid on collectible items The auction rules require that each bid is processed only once and in the order it was received The current implementation is based on a fleet of Amazon EC2 web servers that write bid records into Amazon Kinesis Data Streams A single 12 large instance has a cron job that runs the bid processor, which reads incoming bids from Kinesis Data Streams and processes each bid The auction site is growing in popularity, but users are complaining that some bids are not registering
Troubleshooting indicates that the bid processor is too slow during peak demand hours sometimes crashes while processing and occasionally loses track of which record is being processed
What changes should make the bid processing more reliable?

1. A. Refactor the web application to use the Amazon Kinesis Producer Library (KPL) when posting bids to Kinesis Data Streams Refactor the bid processor to flag each record in Kinesis Data Streams as being unread processing and processed At the start of each bid processing run; scan Kinesis Data Streams for unprocessed records
2. B. Refactor the web application to post each incoming bid to an Amazon SNS topic in place of Kinesis Data Streams Configure the SNS topic to trigger an AWS Lambda function that
3. C. processes each bid as soon as a user submits it
4. D. Refactor the web application to post each incoming bid to an Amazon SQS FIFO queue in place of Kinesis Data Streams Refactor the bid processor to continuously consume the SQS queue Place the bid processing EC2 instance in an Auto Scaling group with a minimum and a maximum size of 1
5. E. Switch the EC2 instance type from t2 large to a larger general compute instance type Put the bid processor EC2 instances in an Auto Scaling group that scales out the number of EC2 instances running the bid processor based on the incomingRecords metric in Kinesis Data Streams

Correct Answer: C
https://aws.amazon.com/sqs/faqs/#:~:text=A%20single%20Amazon%20SQS%20message,20%2C000%20for%2

- (Exam Topic 2)
A large education company recently introduced Amazon Workspaces to provide access to internal applications across multiple universities. The company is storing user proxies on an Amazon FSx for Windows File Server tile system. The Me system is configured with a DNS alias and is connected to a self-managed Active Directory As more users begin to use the Workspaces login time increases to unacceptable levels
An investigation reveals a degradation in performance of the file system. The company created the file system on HDD storage with a throughput of 16 MBps A solutions architect must improve the performance of the file system during a defined maintenance window
What should the solutions architect do to meet these requirements with the LEAST administrative effort?

1. A. Use AWS Backup to create a point-in-time backup of the file system Restore the backup to a new FSx for Windows File Server file system Select SSD as the storage type Select 32 MBps as the throughput capacity When the backup and restore process is completed adjust the DNS alias accordingly Delete the original file system
2. B. Disconnect users from the file system In the Amazon FSx console, update the throughput capacity to 32 MBps Update the storage type to SSD Reconnect users to the file system
3. C. Deploy an AWS DataSync agent onto a new Amazon EC2 instanc
4. D. Create a task Configure the existing file system as the source location Configure a new FSx forWindows File Server file system with SSD storage and 32 MBps of throughput as the target location Schedule the task When the task is completed adjust the DNS alias accordingly Delete the original file system.
5. E. Enable shadow copies on the existing file system by using a Windows PowerShell command Schedule the shadow copy job to create a point-in-time backup of the file system Choose to restore previousversions Create a new FSx for Windows File Server file system with SSD storage and 32 MBps of throughput When the copy job is completed, adjust the DNS alias Delete the original file system

Correct Answer: D