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Amazon SAA-C03 Certification is highly valued in the IT industry, as it demonstrates that an individual has a deep understanding of AWS services and can design and deploy complex systems on AWS. AWS Certified Solutions Architect - Associate certification is particularly relevant for individuals who are interested in working as solutions architects, systems administrators, or developers on AWS.

Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q194-Q199):

NEW QUESTION # 194
A company has an application that processes customer orders. The company hosts the application on an Amazon EC2 instance that saves the orders to an Amazon Aurora database. Occasionally when traffic is high: the workload does not process orders fast enough.
What should a solutions architect do to write the orders reliably to the database as quickly as possible?

A. Increase the instance size of the EC2 instance when traffic is high. Write orders to Amazon Simple Notification Service (Amazon SNS). Subscribe the database endpoint to the SNS topic.
B. Write orders to an Amazon Simple Queue Service (Amazon SQS) queue when the EC2 instance reaches CPU threshold limits. Use scheduled scaling of EC2 instances in an Auto Scaling group behind an Application Load Balancer to read from the SQS queue and process orders into the database
C. Write orders to an Amazon Simple Queue Service (Amazon SQS) queue. Use EC2 instances in an Auto Scaling group behind an Application Load Balancer to read from the SQS queue and process orders into the database.
D. Write orders to Amazon Simple Notification Service (Amazon SNS) Subscribe the database endpoint to the SNS topic Use EC2 instances in an Auto Scaling group behind an Application Load Balancer to read from the SNS topic.

Answer: C

Explanation:
Amazon SQS is a fully managed message queuing service that can decouple and scale microservices, distributed systems, and serverless applications. By writing orders to an SQS queue, the application can handle spikes in traffic without losing any orders. The EC2 instances in an Auto Scaling group can read from the SQS queue and process orders into the database at a steady pace. The Application Load Balancer can distribute the load across the EC2 instances and provide health checks. This solution meets all the requirements of the question, while the other options do not. Reference:
https://docs.aws.amazon.com/wellarchitected/latest/reliability-pillar/welcome.html
https://aws.amazon.com/architecture/serverless/
https://aws.amazon.com/sqs/

NEW QUESTION # 195
A company hosts a web application on a single Amazon EC2 Instance. As traffic increases, users report slow performance. The company needs a solution that improves scalability and availability.
Which solution will meet these requirements?

A. Deploy the application across multiple EC2 instances in an Auto Scaling group behind an Application Load Balancer across multiple Availability Zones.
B. Vertically scale the EC2 instance to a larger instance type to improve performance.
C. Configure Amazon CloudWatch metrics and alarms to monitor application performance and respond when performance degrades.
D. Create an Amazon CloudFront distribution. Configure the EC2 instance as a VPC origin.

Answer: A

Explanation:
Deploying the application on multiple EC2 instances in an Auto Scaling group behind an Application Load Balancer across multiple Availability Zones improves both scalability and availability. Auto Scaling adjusts the number of instances based on traffic, and the load balancer distributes requests to maintain consistent performance.

NEW QUESTION # 196
A company is running a critical business application on Amazon EC2 instances behind an Application Load Balancer The EC2 instances run in an Auto Scaling group and access an Amazon RDS DB instance The design did not pass an operational review because the EC2 instances and the DB instance are all located in a single Availability Zone A solutions architect must update the design to use a second Availability Zone Which solution will make the application highly available?

A. Provision two subnets that extend across both Availability Zones Configure the Auto Scaling group to distribute the EC2 instances across both Availability Zones Configure the DB instance with connections to each network
B. Provision a subnet in each Availability Zone Configure the Auto Scaling group to distribute the EC2 instances across both Availability Zones Configure the DB instance for Multi-AZ deployment
C. Provision a subnet that extends across both Availability Zones Configure the Auto Scaling group to distribute the EC2 instances across both Availability Zones Configure the DB instance for Multi-AZ deployment
D. Provision a subnet in each Availability Zone Configure the Auto Scaling group to distribute the EC2 instances across both Availability Zones Configure the DB instance with connections to each network

Answer: B

Explanation:
https://aws.amazon.com/vpc/faqs/#:~:text=Can%20a%20subnet%20span%20Availability,within%20a%20single

NEW QUESTION # 197
A finance company uses an on-premises search application to collect streaming data from various producers.
The application provides real-time updates to search and visualization features. The company is planning to migrate to AWS and wants to use an AWS native solution. Which solution will meet these requirements?

A. Use Amazon EMR to ingest and process the data streams to Amazon Redshift for storage. Use Amazon Redshift Spectrum to search the data. Use Amazon QuickSight to create visualizations.
B. Use Amazon Elastic Kubernetes Service (Amazon EKS) to ingest and process the data streams to Amazon DynamoDB for storage. Use Amazon CloudWatch to create graphical dashboards to search and visualize the data.
C. Use Amazon Kinesis Data Streams to ingest and process the data streams to Amazon OpenSearch Service. Use OpenSearch Service to search the data. Use Amazon QuickSight to create visualizations.
D. Use Amazon EC2 instances to ingest and process the data streams to Amazon S3 buckets for storage.
Use Amazon Athena to search the data. Use Amazon Managed Grafana to create visualizations.

Answer: C

Explanation:
Amazon OpenSearch Service is the AWS-native service for real-time search, analytics, and visualization.
Ingesting streaming data with Amazon Kinesis Data Streams ensures scalable and reliable data ingestion.
OpenSearch supports indexing and querying the data in near real time. QuickSight can then be integrated for visualization and reporting. Options A and B involve batch processing and are not optimized for real-time search. Option C (EKS + DynamoDB) is not a fit for search workloads, as DynamoDB does not support advanced text search. Option D provides the closest AWS-native equivalent to the company's existing search- and-visualization architecture.
References:* Amazon OpenSearch Service Developer Guide - Real-time search and analytics* Amazon Kinesis Data Streams Developer Guide - Ingesting real-time data

NEW QUESTION # 198
A company runs an application on a large fleet of Amazon EC2 instances. The application reads and write entries into an Amazon DynamoDB table. The size of the DynamoDB table continuously grows, but the application needs only data from the last 30 days. The company needs a solution that minimizes cost and development effort.
Which solution meets these requirements?

A. Use an EC2 instance that runs a monitoring application from AWS Marketplace. Configure the monitoring application to use Amazon DynamoDB Streams to store the timestamp when a new item is created in the table. Use a script that runs on the EC2 instance to delete items that have a timestamp that is older than 30 days.
B. Use an AWS CloudFormation template to deploy the complete solution. Redeploy the CloudFormation stack every 30 days, and delete the original stack.
C. Configure Amazon DynamoDB Streams to invoke an AWS Lambda function when a new item is created in the table. Configure the Lambda function to delete items in the table that are older than 30 days.
D. Extend the application to add an attribute that has a value of the current timestamp plus 30 days to each new item that is created in the table. Configure DynamoDB to use the attribute as the TTL attribute.

Answer: D

Explanation:
Explanation
Amazon DynamoDB Time to Live (TTL) allows you to define a per-item timestamp to determine when an item is no longer needed. Shortly after the date and time of the specified timestamp, DynamoDB deletes the item from your table without consuming any write throughput. TTL is provided at no extra cost as a means to reduce stored data volumes by retaining only the items that remain current for your workload's needs.
TTL is useful if you store items that lose relevance after a specific time. The following are example TTL use cases:
Remove user or sensor data after one year of inactivity in an application.
Archive expired items to an Amazon S3 data lake via Amazon DynamoDB Streams and AWS Lambda.
Retain sensitive data for a certain amount of time according to contractual or regulatory obligations.
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/TTL.html

NEW QUESTION # 199
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