- (Exam Topic 1)
A company recently migrated a message processing system to AWS. The system receives messages into an ActiveMQ queue running on an Amazon EC2 instance. Messages are processed by a consumer application running on Amazon EC2. The consumer application processes the messages and writes results to a MySQL database funning on Amazon EC2. The company wants this application to be highly available with tow operational complexity
Which architecture otters the HGHEST availability?

1. A. Add a second ActiveMQ server to another Availably Zone Add an additional consumer EC2 instance in another Availability Zon
2. B. Replicate the MySQL database to another Availability Zone.
3. C. Use Amazon MO with active/standby brokers configured across two Availability Zones Add an additional consumer EC2 instance in another Availability Zon
4. D. Replicate the MySQL database to another Availability Zone.
5. E. Use Amazon MO with active/standby blotters configured across two Availability Zone
6. F. Add an additional consumer EC2 instance in another Availability Zon
7. G. Use Amazon ROS tor MySQL with Multi-AZ enabled.
8. H. Use Amazon MQ with active/standby brokers configured across two Availability Zones Add an Auto Scaling group for the consumer EC2 instances across two Availability Zone
9. I. Use Amazon RDS for MySQL with Multi-AZ enabled.

Correct Answer: D

- (Exam Topic 1)
A company has created an image analysis application in which users can upload photos and add photo frames to their images. The users upload images and metadata to indicate which photo frames they want to add to their images. The application uses a single Amazon EC2 instance and Amazon DynamoDB to store the metadata.
The application is becoming more popular, and the number of users is increasing. The company expects the number of concurrent users to vary significantly depending on the time of day and day of week. The company must ensure that the application can scale to meet the needs of the growing user base. Which solution meats these requirements?

1. A. Use AWS Lambda to process the photo
2. B. Store the photos and metadata in DynamoDB.
3. C. Use Amazon Kinesis Data Firehose to process the photos and to store the photos and metadata.
4. D. Use AWS Lambda to process the photo
5. E. Store the photos in Amazon S3. Retain DynamoDB to store the metadata.
6. F. Increase the number of EC2 instances to thre
7. G. Use Provisioned IOPS SSD (io2) Amazon Elastic Block Store (Amazon EBS) volumes to store the photos and metadata.

Correct Answer: C

- (Exam Topic 3)
A company is implementing new data retention policies for all databases that run on Amazon RDS DB instances. The company must retain daily backups for a minimum period of 2 years. The backups must be consistent and restorable.
Which solution should a solutions architect recommend to meet these requirements?

1. A. Create a backup vault in AWS Backup to retain RDS backup
2. B. Create a new backup plan with a daily schedule and an expiration period of 2 years after creatio
3. C. Assign the RDS DB instances to the backup plan.
4. D. Configure a backup window for the RDS DB instances for daily snapshot
5. E. Assign a snapshot retention policy of 2 years to each RDS DB instanc
6. F. Use Amazon Data Lifecycle Manager (Amazon DLM) to schedule snapshot deletions.
7. G. Configure database transaction logs to be automatically backed up to Amazon CloudWatch Logs with an expiration period of 2 years.
8. H. Configure an AWS Database Migration Service (AWS DMS) replication tas
9. I. Deploy a replication instance, and configure a change data capture (CDC) task to stream database changes to Amazon S3 as the targe
10. J. Configure S3 Lifecycle policies to delete the snapshots after 2 years.

Correct Answer: A

- (Exam Topic 1)
A company runs an online marketplace web application on AWS. The application serves hundreds of thousands of users during peak hours. The company needs a scalable, near-real-time solution to share the details of millions of financial transactions with several other internal applications Transactions also need to be processed to remove sensitive data before being stored in a document database for low-latency retrieval.
What should a solutions architect recommend to meet these requirements?

1. A. Store the transactions data into Amazon DynamoDB Set up a rule in DynamoDB to remove sensitive data from every transaction upon write Use DynamoDB Streams to share the transactions data with other applications
2. B. Stream the transactions data into Amazon Kinesis Data Firehose to store data in Amazon DynamoDB and Amazon S3 Use AWS Lambda integration with Kinesis Data Firehose to remove sensitive dat
3. C. Other applications can consume the data stored in Amazon S3
4. D. Stream the transactions data into Amazon Kinesis Data Streams Use AWS Lambda integration to remove sensitive data from every transaction and then store the transactions data in Amazon DynamoDB Other applications can consume the transactions data off the Kinesis data stream.
5. E. Store the batched transactions data in Amazon S3 as file
6. F. Use AWS Lambda to process every file and remove sensitive data before updating the files in Amazon S3 The Lambda function then stores the data in Amazon DynamoDB Other applications can consume transaction files stored in Amazon S3.

Correct Answer: C
The destination of your Kinesis Data Firehose delivery stream. Kinesis Data Firehose can send data records to various destinations, including Amazon Simple Storage Service (Amazon S3), Amazon Redshift, Amazon OpenSearch Service, and any HTTP endpoint that is owned by you or any of your third-party service
providers. The following are the supported destinations:
* Amazon OpenSearch Service
* Amazon S3
* Datadog
* Dynatrace
* Honeycomb
* HTTP Endpoint
* Logic Monitor
* MongoDB Cloud
* New Relic
* Splunk
* Sumo Logic https://docs.aws.amazon.com/firehose/latest/dev/create-name.html https://aws.amazon.com/kinesis/data-streams/
Amazon Kinesis Data Streams (KDS) is a massively scalable and durable real-time data streaming service. KDS can continuously capture gigabytes of data per second from hundreds of thousands of sources such as website clickstreams, database event streams, financial transactions, social media feeds, IT logs, and location-tracking events.

- (Exam Topic 2)
A company is planning to build a high performance computing (HPC) workload as a service solution that Is hosted on AWS A group of 16 AmazonEC2Ltnux Instances requires the lowest possible latency for
node-to-node communication. The instances also need a shared block device volume for high-performing
storage.
Which solution will meet these requirements?

1. A. Use a duster placement grou
2. B. Attach a single Provisioned IOPS SSD Amazon Elastic Block Store (Amazon E BS) volume to all the instances by using Amazon EBS Multi-Attach
3. C. Use a cluster placement grou
4. D. Create shared 'lie systems across the instances by using Amazon Elastic File System (Amazon EFS)
5. E. Use a partition placement grou
6. F. Create shared tile systems across the instances by using Amazon Elastic File System (Amazon EFS).
7. G. Use a spread placement grou
8. H. Attach a single Provisioned IOPS SSD Amazon Elastic Block Store (Amazon EBS) volume to all the instances by using Amazon EBS Multi-Attach

Correct Answer: A