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Amazon AWS-Solutions-Associate Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Design Resilient Architectures	26%	- Design solutions for disaster recovery 1. Recovery strategies (backup, restore, pilot light, warm standby, multi-site) 2. Cross-region replication and failover 3. RTO and RPO planning - Design highly available and fault-tolerant architectures 1. Replication and backup strategies 2. Multi-AZ and multi-region deployments 3. Load balancing and auto scaling - Determine how to isolate workloads 1. Isolation boundaries and security domains 2. Resource separation and segmentation
Topic 2: Design High-Performing Architectures	24%	- Design high-performance network architectures 1. Edge delivery and content distribution 2. Network optimization and routing - Design high-performance database solutions 1. Read replicas and caching 2. Database service selection (RDS, Aurora, DynamoDB, Neptune) 3. Data partitioning and distribution - Design high-performance compute solutions 1. Scaling and performance optimization 2. Placement groups and networking 3. Compute options (EC2, Lambda, ECS, EKS, Fargate) - Determine high-performance storage solutions 1. Storage service selection (S3, EBS, EFS, FSx) 2. Data transfer and acceleration 3. Caching strategies
Topic 3: Design Secure Architectures	30%	- Design solutions for secure networks 1. Private access options 2. Edge security and protection 3. VPC design and connectivity - Design solutions for secure access 1. Secure API access 2. Federated access and AWS SSO 3. Identity and access management (IAM) - Design solutions for secure workloads 1. Compliance and governance 2. Data protection and encryption 3. Security groups and network ACLs
Topic 4: Design Cost-Optimized Architectures	20%	- Identify cost-effective storage solutions 1. Data retention and archiving 2. Lifecycle management 3. Storage class selection - Design cost-effective network architectures 1. Connectivity options selection 2. Data transfer cost optimization - Estimate costs and identify cost control mechanisms 1. Cost management tools 2. Budgeting and alerts - Select cost-effective database solutions 1. Database service pricing models 2. Capacity planning and optimization - Design cost-effective compute solutions 1. Instance type and purchasing options 2. Serverless vs provisioned resources 3. Right-sizing and scaling

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q265-Q270):

NEW QUESTION # 265
A company wants to migrate an Oracle database to AWS. The database consists of a single table that contains millions of geographic information systems (GIS) images that are high resolution and are identified by a geographic code.
When a natural disaster occurs tens of thousands of images get updated every few minutes. Each geographic code has a single image or row that is associated with it. The company wants a solution that is highly available and scalable during such events Which solution meets these requirements MOST cost-effectively?

A. Store the images in Amazon S3 buckets Store geographic codes and image S3 URLs in a database table Use Oracle running on an Amazon RDS Multi-AZ DB instance.
B. Store the images in Amazon S3 buckets Use Amazon DynamoDB with the geographic code as the key and the image S3 URL as the value
C. Store the images and geographic codes in a database table Use Oracle running on an Amazon RDS Multi-AZ DB instance
D. Store the images and geographic codes in an Amazon DynamoDB table Configure DynamoDB Accelerator (DAX) during times of high load

Answer: C

NEW QUESTION # 266
A company is designing a data processing platform to process a large number of files in an Amazon S3 bucket and store the results in Amazon DynamoDB. These files will be processed once and must be retained for 1 year. The company wants to ensure that the original files and resulting data are highly available in multiple AWS Regions.
Which solution will meet these requirements?

A. Create an S3 CreateObject event notification to copy the file to Amazon Elastic Block Store (Amazon EBS). Use AWS DataSync to sync the files between EBS volumes in multiple Regions. Use an Amazon EC2 Auto Scaling group in multiple Regions to attach the EBS volumes. Process the files and store the results in a DynamoDB global table in multiple Regions. Configure the S3 bucket with an S3 Lifecycle policy to move the files to S3 Glacier after 1 year.
B. Copy the files to an S3 bucket in another Region by using cross-Region replication. Create an S3 CreateObject event notification on the original bucket to execute an AWS Lambda function to process each file and store the results in a DynamoDB global table in multiple Regions. Configure both S3 buckets to use the S3 Standard-Infrequent Access (S3 Standard-IA) storage class and an S3 Lifecycle policy to delete the files after 1 year.
C. Create an S3 CreateObject event notification to copy the file to Amazon Elastic File System (Amazon EFS). Use AWS DataSync to sync the files between EFS volumes in multiple Regions. Use an AWS Lambda function to process the EFS files and store the results in a DynamoDB global table in multiple Regions. Configure the S3 buckets with an S3 Lifecycle policy to move the files to S3 Glacier after 1 year.
D. Copy the files to an S3 bucket in another Region by using cross-Region replication. Create an S3 CreateObject event notification on the original bucket to push S3 file paths into Amazon EventBridge (Amazon CloudWatch Events). Use an AWS Lambda function to poll EventBridge (CloudWatch Events) to process each file and store the results in a DynamoDB table in each Region. Configure both S3 buckets to use the S3 Standard-Infrequent Access (S3 Standard-IA) storage class and an S3 Lifecycle policy to delete the files after 1 year.

Answer: A

NEW QUESTION # 267
A three-tier application is being created to host small news articles. The application is expected to serve millions of users. When breaking news occurs, the site must handle very large spikes in traffic without significantly impacting database performance.
Which design meets these requirements while minimizing costs?

A. Use Auto Scaling groups to increase the number of Amazon EC2 instances delivering the web application
B. Use Amazon DynamoDB strongly consistent reads to adjust for the increase in traffic
C. Use Amazon DynamoDB Accelerator (DAX) to cache read operations to the database
D. Use Auto Scaling groups to increase the size of the Amazon RDS instances delivering the database

Answer: C

NEW QUESTION # 268
A company allows users to upload and store photos through its website The website has users from all around the world. All images that users upload are stored in a centralized Amazon S3 bucket The company wants to increase the speed in which its entire user base can upload photos through the website.
What should a solutions architect recommend to meet these requirements?

A. Configure S3 Transfer Acceleration on the S3 bucket Use the standard S3 endpoint to upload files
B. Create an Amazon CloudFront distribution. Use the Amazon S3 Standard storage class to store files
C. Configure S3 Transfer Acceleration on the S3 bucket Use the S3 Accelerate endpoint to upload files
D. Create an Amazon CloudFront distribution. Configure the distribution settings and origin.

Answer: C

NEW QUESTION # 269
A company is migrating a data processing application to AWS. The application processes several short-lived batch jobs that cannot be disrupted. The process generates data after each batch job finishes running. The company accesses the data for 30 days following data generation. After 30 days, the company stores the data for 2 years.
The company wants to optimize costs for the application and data storage. Which solution will meet these requirements?

A. Use Amazon EC2 Spot Instances to run the application. Store the data in Amazon S3 Standard. Move the data to S3 Glacier Flexible Retrieval after 30 days. Configure a bucket policy to delete the data after 2 years.
B. Use Amazon EC2 On-Demand Instances to run the application. Store the data in Amazon S3 Standard.
Move the data to S3 Glacier Deep Archive after 30 days. Configure an S3 Lifecycle configuration to delete the data after 2 years.
C. Use Amazon EC2 On-Demand Instances to run the application. Store the data in Amazon S3 Glacier Instant Retrieval. Move the data to S3 Glacier Deep Archive after 30 days. Configure an S3 Lifecycle configuration to delete the data after 2 years.
D. Use Amazon EC2 Spot Instances to run the application. Store the data in Amazon S3 Standard. Move the data to S3 Glacier Instant Retrieval after 30 days. Configure a bucket policy to delete the data after 2 years.

Answer: B

Explanation:
Comprehensive and Detailed Explanation:
* Amazon EC2 On-Demand Instances: Since the batch jobs cannot be disrupted, On-Demand Instances provide the necessary reliability and availability.
* Amazon S3 Standard: Storing data in S3 Standard for the first 30 days ensures quick and frequent access.
* S3 Glacier Deep Archive: After 30 days, moving data to S3 Glacier Deep Archive significantly reduces storage costs for data that is rarely accessed.
* S3 Lifecycle Configuration: Automating the transition and deletion of objects using lifecycle policies ensures cost optimization and compliance with data retention requirements.
References:
Amazon S3 Storage Classes
Managing your storage lifecycleAWS Documentation

NEW QUESTION # 270
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