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Amazon SAA-C03 Exam Syllabus Topics:

Topic	Details
Topic 1	Design cost-optimized compute solutions Design Cost-Optimized Architectures
Topic 2	Database engines with appropriate use cases Determine high-performing database solutions
Topic 3	Storage types with associated characteristics Design High-Performing Architectures
Topic 4	The AWS shared responsibility model Access controls and management across multiple accounts
Topic 5	How to appropriately use edge accelerators AWS managed services with appropriate use cases
Topic 6	Design cost-optimized database solutions Design cost-optimized storage solutions
Topic 7	Design highly available and or fault-tolerant architectures Determine high-performing and or scalable network architectures.
Topic 8	Threat vectors external to AWS AWS federated access and identity services
Topic 9	Storage types with associated characteristics Design scalable and loosely coupled architectures
Topic 10	Determine high-performing data ingestion and transformation solutions Determine high-performing and or scalable storage solutions
Topic 11	Control ports, protocols, and network traffic on AWS Design secure workloads and applications
Topic 12	Encryption and appropriate key management Determine appropriate data security controls

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q147-Q152):

NEW QUESTION # 147
A media company hosts its website on AWS. The website application's architecture includes a fleet of Amazon EC2 instances behind an Application Load Balancer (ALB) and a database that is hosted on Amazon Aurora The company's cyber security teem reports that the application is vulnerable to SOL injection.
How should the company resolve this issue?

• A. Subscribe to AWS Shield Advanced to block all SQL injection attempts automatically.
• B. Use AWS WAF in front of the ALB Associate the appropriate web ACLs with AWS WAF.
• C. Create an ALB listener rule to reply to SQL injection with a fixed response
• D. Set up Amazon Inspector to block all SOL injection attempts automatically

Answer: B
NEW QUESTION # 148
A company hosts a three-tier ecommerce application on a fleet of Amazon EC2 instances. The instances run in an Auto Scaling group behind an Application Load Balancer (ALB) All ecommerce data is stored in an Amazon RDS for ManaDB Multi-AZ DB instance The company wants to optimize customer session management during transactions The application must store session data durably Which solutions will meet these requirements? (Select TWO )

• A. Use AWS Systems Manager Application Manager in the application to manage user session information
• B. Deploy an Amazon ElastiCache for Redis cluster to store customer session information
• C. Turn on the sticky sessions feature (session affinity) on the ALB
• D. Use an Amazon DynamoOB table to store customer session information
• E. Deploy an Amazon Cognito user pool to manage user session information

Answer: C,D
NEW QUESTION # 149
A company has an application that ingests incoming messages. These messages are then quickly consumed by dozens of other applications and microservices.
The number of messages varies drastically and sometimes spikes as high as 100,000 each second. The company wants to decouple the solution and increase scalability.
Which solution meets these requirements?

• A. Publish the messages to an Amazon Simple Notification Service (Amazon SNS) topic with one or more Amazon Simple Queue Service (Amazon SQS) subscriptions. All applications then process the messages from the queues.
• B. Write the messages to Amazon Kinesis Data Streams with a single shard. All applications will read from the stream and process the messages.
• C. Deploy the application on Amazon EC2 instances in an Auto Scaling group, which scales the number of EC2 instances based on CPU metrics.
• D. Persist the messages to Amazon Kinesis Data Analytics. All the applications will read and process the messages.

Answer: A Explanation:
Explanation
https://aws.amazon.com/sqs/features/
By routing incoming requests to Amazon SQS, the company can decouple the job requests from the processing instances. This allows them to scale the number of instances based on the size of the queue, providing more resources when needed. Additionally, using an Auto Scaling group based on the queue size will automatically scale the number of instances up or down depending on the workload. Updating the software to read from the queue will allow it to process the job requests in a more efficient manner, improving the performance of the system.
NEW QUESTION # 150
A DevOps Engineer is required to design a cloud architecture in AWS. The Engineer is planning to develop a highly available and fault-tolerant architecture consisting of an Elastic Load Balancer and an Auto Scaling group of EC2 instances deployed across multiple Availability Zones. This will be used by an online accounting application that requires path-based routing, host-based routing, and bi-directional streaming using Remote Procedure Call (gRPC).
Which configuration will satisfy the given requirement?

• A. Configure an Application Load Balancer in front of the auto-scaling group. Select gRPC as the protocol version.
• B. Configure a Network Load Balancer in front of the auto-scaling group. Create an AWS Global Accelerator accelerator and set the load balancer as an endpoint.
• C. Configure a Network Load Balancer in front of the auto-scaling group. Use a UDP listener for routing.
• D. Configure a Gateway Load Balancer in front of the auto-scaling group. Ensure that the IP Listener Routing uses the GENEVE protocol on port 6081 to allow gRPC response traffic.

Answer: A Explanation:
Application Load Balancer operates at the request level (layer 7), routing traffic to targets (EC2 instances, containers, IP addresses, and Lambda functions) based on the content of the request. Ideal for advanced load balancing of HTTP and HTTPS traffic, Application Load Balancer provides advanced request routing targeted at delivery of modern application architectures, including microservices and container-based applications. Application Load Balancer simplifies and improves the security of your application, by ensuring that the latest SSL/TLS ciphers and protocols are used at all times.

If your application is composed of several individual services, an Application Load Balancer can route a request to a service based on the content of the request such as Host field, Path URL, HTTP header, HTTP method, Query string, or Source IP address.

ALBs can also route and load balance gRPC traffic between microservices or between gRPC-enabled clients and services. This will allow customers to seamlessly introduce gRPC traffic management in their architectures without changing any of the underlying infrastructure on their clients or services.
Therefore, the correct answer is: Configure an Application Load Balancer in front of the auto-scaling group. Select gRPC as the protocol version.
The option that says: Configure a Network Load Balancer in front of the auto-scaling group. Use a UDP listener for routing is incorrect. Network Load Balancers do not support gRPC.
The option that says: Configure a Gateway Load Balancer in front of the auto-scaling group. Ensure that the IP Listener Routing uses the GENEVE protocol on port 6081 to allow gRPC response traffic is incorrect. A Gateway Load Balancer operates as a Layer 3 Gateway and a Layer 4 Load Balancing service. Do take note that the gRPC protocol is at Layer 7 of the OSI Model so this service is not appropriate for this scenario.
The option that says: Configure a Network Load Balancer in front of the auto-scaling group. Create an AWS Global Accelerator accelerator and set the load balancer as an endpoint is incorrect. AWS Global Accelerator simply optimizes application performance by routing user traffic to the congestion-free, redundant AWS global network instead of the public internet. References:
https://aws.amazon.com/elasticloadbalancing/features
https://aws.amazon.com/elasticloadbalancing/faqs/
AWS Elastic Load Balancing Overview:
https://youtu.be/UBl5dw59DO8
Check out this AWS Elastic Load Balancing (ELB) Cheat Sheet:
https://tutorialsdojo.com/aws-elastic-load-balancing-elb/
Application Load Balancer vs Network Load Balancer vs Gateway Load Balancer:
https://tutorialsdojo.com/application-load-balancer-vs-network-load-balancer-vs-classic-load-balancer/
NEW QUESTION # 151
A company runs a containerised application on a Kubernetes cluster m an on premises data center The company is using a MongoOB drtabii tor dan atanige The company wants to migrate some of these environments to AWS but no code changes or deployment method changes ate possible at this time The company needs a solution mat minimizes operational overhead Which solution meets these requirements?

• A. Use Amazon Elastic Kubernetes Service (Amazon EKS) with Amazon EC2 worker nodes for compute and Amazon DynamoDB for data storage
• B. Use Amazon Elastic Container Service (Amazon ECS) with AWS Fargate for compute and Amazon DynamoDB tor data storage
• C. Use Amazon Elastic Container Service (Amazon ECS) with Amazon EC2 worker nodes for compute and MongoOB on EC2 for data storage
• D. Use Amazon Elastic Kubernetes Service (Amazon EKS) with AWS fargate for compute and Amazon DocumentDB (with MongoOB compatfciMy) for data storage

Answer: D Explanation:
Amazon DocumentDB (with MongoDB compatibility) is a fast, reliable, and fully managed database service. Amazon DocumentDB makes it easy to set up, operate, and scale MongoDB-compatible databases in the cloud. With Amazon DocumentDB, you can run the same application code and use the same drivers and tools that you use with MongoDB.
https://docs.aws.amazon.com/documentdb/latest/developerguide/what-is.html
NEW QUESTION # 152
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