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Amazon SAA-C03 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Design Resilient Architectures	26%	- Design highly available and/or fault-tolerant architectures 1. Multi-AZ deployments 2. Disaster recovery strategies (backup/restore, pilot light, warm standby, multi-site) 3. Multi-Region architectures 4. Amazon Route 53 routing policies 5. AWS Global Accelerator - Design scalable and loosely coupled architectures 1. Amazon SQS and SNS 2. Elastic Load Balancing 3. Amazon EventBridge 4. Auto Scaling groups 5. Amazon API Gateway
Topic 2: Design High-Performing Architectures	24%	- Determine high-performing and/or scalable network architectures 1. AWS Direct Connect 2. Amazon CloudFront 3. Amazon Route 53 4. AWS Global Accelerator 5. VPC endpoints - Determine high-performing data ingestion and transformation solutions 1. AWS Data Pipeline 2. Amazon Kinesis 3. Amazon MSK 4. AWS Glue - Determine high-performing database solutions 1. Amazon ElastiCache (Redis/Memcached) 2. Amazon Redshift 3. Amazon RDS and Aurora 4. Amazon DynamoDB - Determine high-performing and/or scalable storage solutions 1. Amazon S3 storage classes and lifecycle policies 2. Amazon EFS 3. Amazon FSx 4. Instance Store 5. Amazon EBS volume types - Design high-performing and elastic compute solutions 1. AWS Elastic Beanstalk 2. AWS Lambda 3. Amazon ECS and EKS 4. Amazon EC2 instance types and families
Topic 3: Design Cost-Optimized Architectures	20%	- Design cost-optimized network architectures 1. AWS Direct Connect for cost optimization 2. Data transfer costs 3. VPC endpoints to reduce NAT costs 4. CloudFront to reduce origin load - Design cost-optimized storage solutions 1. S3 storage classes and lifecycle policies 2. EBS volume type selection 3. S3 Intelligent-Tiering 4. EFS cost optimization - Design cost-optimized compute solutions 1. Auto Scaling for cost optimization 2. Right-sizing instances 3. EC2 purchasing options (On-Demand, Reserved, Spot, Savings Plans) 4. AWS Lambda pricing model - Design cost-optimized database solutions 1. DynamoDB capacity modes (On-demand vs Provisioned) 2. ElastiCache for caching 3. RDS Reserved Instances 4. Aurora Serverless
Topic 4: Design Secure Architectures	30%	- Determine appropriate data security controls 1. Amazon Macie and GuardDuty 2. Data classification 3. Data encryption strategies 4. Data backup and recovery - Design secure access to AWS resources 1. AWS Organizations and SCPs 2. IAM policies and roles 3. Multi-factor authentication (MFA) 4. Identity federation - Design secure workloads and applications 1. AWS KMS and CloudHSM 2. Security groups and NACLs 3. Encryption at rest and in transit 4. AWS WAF and Shield

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q626-Q631):

NEW QUESTION # 626
A developer needs to export the contents of several Amazon DynamoDB tables into Amazon S3 buckets to comply with company data regulations. The developer uses the AWS CLI to runcommands to export from each table to the proper S3 bucket. The developer sets up AWS credentials correctly and grants resources appropriate permissions. However, the exports of some tables fail.
What should the developer do to resolve this issue?

A. Ensure that DynamoDB streaming is enabled for the tables.
B. Ensure that the target S3 bucket is in the same AWS Region as the DynamoDB table.
C. Ensure that DynamoDB Accelerator (DAX) is enabled.
D. Ensure that point-in-time recovery is enabled on the DynamoDB tables.

Answer: D

Explanation:
Export Requirements:
To export data from DynamoDB to Amazon S3, point-in-time recovery (PITR) must be enabled for the tables.
This feature creates a snapshot of the data, which is essential for exports.
Incorrect Options Analysis:
Option B: S3 buckets and DynamoDB tables do not need to be in the same region for exports.
Option C: DynamoDB streams are unrelated to the export functionality.
Option D: DAX accelerates reads but has no role in exports.
References:
Exporting DynamoDB Data to Amazon S3

NEW QUESTION # 627
A company containerized a Windows job that runs on .NET 6 Framework under a Windows container. The company wants to run this job in the AWS Cloud. The job runs every 10 minutes. The job's runtime varies between 1 minute and 3 minutes.
Which solution will meet these requirements MOST cost-effectively?

A. Use Amazon Elastic Container Service (Amazon ECS) on AWS Fargate to run the job. Create a standalone task based on the container image of the job. Use Windows task scheduler to run the job every 10 minutes.
B. Use Amazon Elastic Container Service (Amazon ECS) on AWS Fargate to run the job. Create a scheduled task based on the container image of the job to run every 10 minutes.
C. Create an AWS Lambda function based on the container image of the job. Configure Amazon EventBridge to invoke the function every 10 minutes.
D. Use AWS Batch to create a job that uses AWS Fargate resources. Configure the job scheduling to run every 10 minutes.

Answer: C

Explanation:
AWS Lambda supports container images as a packaging format for functions. You can use existing container development workflows to package and deploy Lambda functions as container images of up to 10 GB in size.
You can also use familiar tools such as Docker CLI to build, test, and push your container images to Amazon Elastic Container Registry (Amazon ECR). You can then create an AWS Lambda function based on the container image of your job and configure Amazon EventBridge to invoke the function every 10 minutes using a cron expression. This solution will be cost-effective as you only pay for the compute time you consume when your function runs. References: https://docs.aws.amazon.com/lambda/latest/dg/images-create.
html https://docs.aws.amazon.com/eventbridge/latest/userguide/run-lambda-schedule.html

NEW QUESTION # 628
A solutions architect is designing a new hybrid architecture to extend a company s on-premises infrastructure to AWS The company requires a highly available connection with consistent low latency to an AWS Region.
The company needs to minimize costs and is willing to accept slower traffic if the primary connection fails.
What should the solutions architect do to meet these requirements?

A. Provision an AWS Direct Connect connection to a Region Use the Direct Connect failover attribute from the AWS CLI to automatically create a backup connection if the primary Direct Connect connection fails.
B. Provision a VPN tunnel connection to a Region for private connectivity. Provision a second VPN tunnel for private connectivity and as a backup if the primary VPN connection fails.
C. Provision an AWS Direct Connect connection to a Region Provision a VPN connection as a backup if the primary Direct Connect connection fails.
D. Provision an AWS Direct Connect connection to a Region Provision a second Direct Connect connection to the same Region as a backup if the primary Direct Connect connection fails.

Answer: C

Explanation:
Explanation
"In some cases, this connection alone is not enough. It is always better to guarantee a fallback connection as the backup of DX. There are several options, but implementing it with an AWS Site-To-Site VPN is a real cost-effective solution that can be exploited to reduce costs or, in the meantime, wait for the setup of a second DX."
https://www.proud2becloud.com/hybrid-cloud-networking-backup-aws-direct-connect-network-connection-with

NEW QUESTION # 629
A company is deploying a new application on Amazon EC2 instances. The application writes data to Amazon Elastic Block Store (Amazon EBS) volumes. The company needs to ensure that all data that is written to the EBS volumes is encrypted at rest.
Which solution wil meet this requirement?

A. Create an EC2 instance tag that has a key of Encrypt and a value of True. Tag all instances that require encryption at the ESS level.
B. Create the EBS volumes as encrypted volumes Attach the EBS volumes to the EC2 instances.
C. Create an IAM role that specifies EBS encryption. Attach the role to the EC2 instances.
D. Create an AWS Key Management Service (AWS KMS) key policy that enforces EBS encryption in the account Ensure that the key policy is active.

Answer: B

Explanation:
Explanation
The solution that will meet the requirement of ensuring that all data that is written to the EBS volumes is encrypted at rest is B. Create the EBS volumes as encrypted volumes and attach the encrypted EBS volumes to the EC2 instances. When you create an EBS volume, you can specify whether to encrypt the volume. If you choose to encrypt the volume, all data written to the volume is automatically encrypted at rest using AWS-managed keys. You can also use customer-managed keys (CMKs) stored in AWS KMS to encrypt and protect your EBS volumes. You can create encrypted EBS volumes and attach them to EC2 instances to ensure that all data written to the volumes is encrypted at rest.

NEW QUESTION # 630
A company has deployed an application that uses Amazon EC2 Auto Scaling. The Auto Scaling group is associated with a Network Load Balancer and has a minimum desired capacity of 1 and a maximum desired capacity of 6. The CPU utilization of the single running EC2 instance occasionally reaches 90%, which causes the application to become unstable. Which solution will resolve the stability issue with the LEAST operational overhead?

A. Create a target tracking scaling policy. Set the ASGAverageCPUUtilization target value to 90%.
B. Adjust the Auto Scaling group to a minimum desired capacity of 2 whenever the application becomes unstable.
C. Create a target tracking scaling policy. Set the ASGAverageCPUUtilization target value to 75%.
D. Create a scheduled scaling policy. Create a daily scheduled scaling action that sets the minimum capacity to 2 instances at 9:00 a.m. Create a second action that sets the minimum capacity to 1 instance at 5:00 p.m.

Answer: C

Explanation:
A target tracking policy automatically adds or removes EC2 capacity to keep the selected metric close to a defined target. Setting ASGAverageCPUUtilization to 75% causes the Auto Scaling group to scale out before CPU utilization reaches the observed 90% instability threshold. A target of 90% would allow the application to reach the known failure condition before sufficient scaling occurred. Manually increasing minimum capacity only after instability appears is reactive and creates unnecessary administrative work. Scheduled scaling is unsuitable because the question describes occasional utilization increases rather than a predictable daily traffic pattern. Target tracking continuously evaluates demand and manages capacity without requiring operators to determine exact scaling increments or schedules. Therefore, the 75% CPU target provides the required stability with the least ongoing operational overhead.

NEW QUESTION # 631
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