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Amazon SAA-C03 Exam Syllabus Topics:

Section	Weight	Objectives
Design High-Performing Architectures	24%	- Design high-performance storage solutions 1. Storage performance and durability 2. Caching and content delivery 3. Storage types (object, block, file) - Design high-performance networking solutions 1. Global acceleration and routing 2. Latency reduction and throughput optimization 3. Network architecture and connectivity - Design high-performance compute solutions 1. Instance types and sizing 2. Scaling and performance optimization 3. Compute options (EC2, Lambda, ECS, EKS)
Design Secure Architectures	30%	- Design secure access to AWS resources 1. Identity and access management (IAM, IAM Identity Center) 2. Multi-account access and control 3. Security best practices and least privilege 4. Shared responsibility model - Design secure workloads and applications 1. Network security (VPC, security groups, NACLs) 2. Data protection and encryption (at rest/in transit) 3. Compliance and governance controls - Design for security and threat detection 1. Monitoring and logging services 2. Incident response and security automation
Design Resilient Architectures	26%	- Design for reliability and recovery 1. Backup and restore mechanisms 2. Failover and failback processes - Design highly available and fault-tolerant architectures 1. Replication and disaster recovery strategies 2. Regions, Availability Zones, and edge locations 3. Load balancing and auto scaling - Design decoupled and loosely coupled systems 1. Serverless and managed service integration 2. Messaging and queue services 3. Event-driven architectures
Design Cost-Optimized Architectures	20%	- Design cost-effective compute and network solutions 1. Right-sizing and reserved instances 2. Serverless and pay-as-you-go models 3. Data transfer cost optimization - Identify cost-effective storage solutions 1. Data retention and archiving 2. Storage classes and lifecycle policies - Control and monitor costs 1. Cost management tools and alerts 2. Resource tagging and allocation

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q200-Q205):

NEW QUESTION # 200
A company runs an application that receives data from thousands of geographically dispersed remote devices that use UDP The application processes the data immediately and sends a message back to the device if necessary No data is stored.
The company needs a solution that minimizes latency for the data transmission from the devices. The solution also must provide rapid failover to another AWS Region Which solution will meet these requirements?

A. Configure an Amazon Route 53 failover routing policy Create an Application Load Balancer (ALB) in each of the two Regions Create an Amazon Elastic Container Service (Amazon ECS) cluster with the Fargate launch type Create an ECS service on the cluster Set the ECS service as the target for the ALB Process the data in Amazon ECS
B. Configure an Amazon Route 53 failover routing policy Create a Network Load Balancer (NLB) in each of the two Regions Configure the NLB to invoke an AWS Lambda function to process the data
C. Use AWS Global Accelerator Create an Application Load Balancer (ALB) in each of the two Regions as an endpoint Create an Amazon Elastic Container Service (Amazon ECS) cluster with the Fargate launch type Create an ECS service on the cluster. Set the ECS service as the target for the ALB Process the data in Amazon ECS
D. Use AWS Global Accelerator Create a Network Load Balancer (NLB) in each of the two Regions as an endpoint. Create an Amazon Elastic Container Service (Amazon ECS) cluster with the Fargate launch type Create an ECS service on the cluster Set the ECS service as the target for the NLB Process the data in Amazon ECS.

Answer: C

NEW QUESTION # 201
A company runs an infrastructure monitoring service. The company is building a new feature that will enable the service to monitor data in customer AWS accounts. The new feature will call AWS APIs in customer accounts to describe Amazon EC2 instances and read Amazon CloudWatch metrics.
What should the company do to obtain access to customer accounts in the MOST secure way?

A. Ensure that the customers create an 1AM user in their account with read-only EC2 and CloudWatch permissions. Encrypt and store customer access and secret keys in a secrets management system.
B. Ensure that the customers create an Amazon Cognito user in their account to use an 1AM role with read-only EC2 and CloudWatch permissions. Encrypt and store the Amazon Cognito user and password in a secrets management system.
C. Create a serverless API that implements a token vending machine to provide temporary AWS credentials for a role with read-only EC2 and CloudWatch permissions.
D. Ensure that the customers create an 1AM role in their account with read-only EC2 and CloudWatch permissions and a trust policy to the company's account.

Answer: D

Explanation:
By having customers create an IAM role with the necessary permissions in their own accounts, the company can use AWS Identity and Access Management (IAM) to establish cross-account access. The trust policy allows the company's AWS account to assume the customer's IAM role temporarily, granting access to the specified resources (EC2 instances and CloudWatch metrics) within the customer's account. This approach follows the principle of least privilege, as the company only requests the necessary permissions and does not require long-term access keys or user credentials from the customers.

NEW QUESTION # 202
A company uses NFS to store large video files in on-premises network attached storage. Each video file ranges in size from 1MB to 500 GB. The total storage is 70 TB and is no longer growing. The company decides to migrate the video files to Amazon S3. The company must migrate the video files as soon as possible while using the least possible network bandwidth.
Which solution will meet these requirements?

A. Set up an AWS Direct Connect connection between the on-premises network and AWS. Deploy an S3 File Gateway on premises. Create a public virtual interlace (VIF) to connect to the S3 File Gateway.
Create an S3 bucket. Create a new NFS file share on the S3 File Gateway. Point the new file share to the S3 bucket. Transfer the data from the existing NFS file share to the S3 File Gateway.
B. Create an S3 bucket Create an IAM role that has permissions to write to the S3 bucket. Use the AWS CLI to copy all files locally to the S3 bucket.
C. Deploy an S3 File Gateway on premises. Create a public service endpoint to connect to the S3 File Gateway Create an S3 bucket Create a new NFS file share on the S3 File Gateway Point the new file share to the S3 bucket. Transfer the data from the existing NFS file share to the S3 File Gateway.
D. Create an AWS Snowball Edge job. Receive a Snowball Edge device on premises. Use the Snowball Edge client to transfer data to the device. Return the device so that AWS can import the data into Amazon S3.

Answer: D

Explanation:
The basic difference between Snowball and Snowball Edge is the capacity they provide. Snowball provides a total of 50 TB or 80 TB, out of which 42 TB or 72 TB is available, while Amazon Snowball Edge provides
100 TB, out of which 83 TB is available.

NEW QUESTION # 203
A company has a development account that contains Amazon EC2 instances. The company uses the EC2 instances for testing. A recent audit of the development account showed that some developers occasionally forget to stop instances after the tests are finished, which incurs extra costs. The company wants to optimize costs for the development account. The company wants to use AWS Budgets to implement a budget for the account. Which solution will meet these requirements?

A. Define an alert in AWS Budgets for when the budget threshold reaches 100% of the budgeted amount. Create an Amazon EventBridge scheduled rule. Implement an AWS Lambda function to stop the EC2 instances based on the scheduled rule.
B. Define an alert in AWS Budgets for when the budget threshold reaches 100% of forecasted costs.
Configure AWS Budgets to send an Amazon SNS notification to an AWS Lambda function.
Configure the Lambda function to stop the EC2 instances when the function receives a notification.
C. Define an alert in AWS Budgets for when the budget threshold reaches 100% of the budgeted amount. Implement an action in the alert to automatically stop the EC2 instances.
D. Define an alert in AWS Budgets for when the budget threshold reaches 100% of forecasted costs.
Implement an action in the alert to automatically stop the EC2 instances.

Answer: D

Explanation:
Option B is the best answer because AWS Budgets can take automated actions, and forecast- based thresholds let the company intervenebeforeactual spending fully lands. AWS documentation explains that AWS Budgets actions can target EC2 instances, and forecast-based budget alerts are specifically intended to warn when projected spend is expected to exceed the threshold during the period. That makes forecasted costs more proactive than waiting until actual spend reaches the full budgeted amount.

NEW QUESTION # 204
A company is designing an application on AWS that processes sensitive data. The application stores and processes financial data for multiple customers.
To meet compliance requirements, the data for each customer must be encrypted separately at rest by using a secure, centralized key management solution. The company wants to use AWS Key Management Service (AWS KMS) to implement encryption.
Which solution will meet these requirements with the LEAST operational overhead'?

A. Create separate AWS KMS keys for each customer's data that have granular access control and logging enabled.
B. Generate a unique encryption key for each customer. Store the keys in an Amazon S3 bucket. Enable server-side encryption.
C. Deploy a hardware security appliance in the AWS environment that securely stores customer-provided encryption keys. Integrate the security appliance with AWS KMS to encrypt the sensitive data in the application.
D. Create a single AWS KMS key to encrypt all sensitive data across the application.

Answer: A

Explanation:
This solution meets the requirement of encrypting each customer's data separately with the least operational overhead by leveraging AWS Key Management Service (KMS).
* Separate AWS KMS Keys: By creating separate KMS keys for each customer, you can ensure that each customer's data is encrypted with a unique key. This approach satisfies the compliance requirement for separate encryption and provides fine-grained control over access to the keys.
* Granular Access Control: AWS KMS allows you to define key policies and use IAM policies to grant specific permissions to the keys. This ensures that only authorized users or services can access the keys, thereby maintaining the principle of least privilege.
* Logging and Monitoring: AWS KMS integrates with AWS CloudTrail, which logs all key usage and management activities. This provides an audit trail that is essential for meeting compliance requirements.
* Why Not Other Options?:
* Option A (Store keys in S3): Storing keys in S3 is not recommended because it does not provide the same level of security, access control, or integration with AWS services as KMS does.
* Option B (Hardware security appliance): Deploying a hardware security appliance adds significant operational overhead and complexity, which is unnecessary given that KMS already provides a secure and centralized key management solution.
* Option C (Single KMS key for all data): Using a single KMS key does not meet the requirement of encrypting each customer's data separately.
AWS References:
* AWS Key Management Service (KMS) - Overview of KMS, its features, and best practices for key management.
* Using AWS KMS for Multi-Tenant Applications - Guidance on how to design applications using KMS for multi-tenancy.

NEW QUESTION # 205
......

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