Amazon SAA-C03 Exam Tests, SAA-C03 Exam Introduction

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Amazon SAA-C03 Exam Syllabus Topics:

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

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q845-Q850):

NEW QUESTION # 845
A company is deploying an application that processes large quantities of data in parallel. The company plans to use Amazon EC2 instances for the workload. The network architecture must be configurable to prevent groups of nodes from sharing the same underlying hardware.
Which networking solution meets these requirements?

A. Configure the EC2 instances with dedicated tenancy.
B. Run the EC2 instances in a spread placement group.
C. Configure the EC2 instances with shared tenancy.
D. Group the EC2 instances in separate accounts.

Answer: B

Explanation:
it allows the company to deploy an application that processes large quantities of data in parallel and prevent groups of nodes from sharing the same underlying hardware. By running the EC2 instances in a spread placement group, the company can launch a small number of instances across distinct underlying hardware to reduce correlated failures. A spread placement group ensures that each instance is isolated from each other at the rack level. Reference:
Placement Groups
Spread Placement Groups

NEW QUESTION # 846
A company has an application that processes information from documents that users upload.
When a user uploads a new document to an Amazon S3 bucket, an AWS Lambda function is invoked. The Lambda function processes information from the documents. The company discovers that the application did not process many recently uploaded documents. The company wants to ensure that the application processes each document with retries if there is an error during the first attempt to process the document. Which solution will meet these requirements?

A. Configure a replication policy on the S3 bucket to stage the documents in another S3 bucket that an AWS Batch job processes on a daily schedule.
B. Create an Amazon API Gateway REST API that has a proxy integration to the Lambda function.
Update the application to send requests to the REST API.
C. Configure an Amazon Simple Queue Service (Amazon SQS) queue as an event source for the Lambda function. Configure an S3 event notification on the S3 bucket to send new document upload events to the SQS queue.
D. Deploy an Application Load Balancer in front of the Lambda function that processes the documents.

Answer: C

Explanation:
Using SQS as a buffer between S3 and the Lambda function ensures durability and allows for retries in case of processing failures. Messages in the queue can be retried by Lambda, and failed processing can be directed to a dead-letter queue for further inspection. This guarantees reliable and scalable message-driven processing.

NEW QUESTION # 847
An events company runs a web application on Amazon EKS that uses an Amazon DynamoDB table. The table has 1,000 RCUs and 500 WCUs provisioned. The application uses eventually consistent reads.
Traffic is usually low but occasionally spikes. During spikes, DynamoDB throttles requests, causing user- facing errors.
What should a solutions architect do to reduce these errors?

A. Use strongly consistent reads.
B. Purchase DynamoDB reserved capacity.
C. Change the DynamoDB table to on-demand capacity mode.
D. Create a DynamoDB read replica.

Answer: C

Explanation:
The application experiences unpredictable traffic spikes, which exceed the provisioned read and write capacity of the DynamoDB table, resulting in throttling errors. This is a classic scenario where on-demand capacity mode is the most appropriate solution.
Option A is correct because DynamoDB on-demand capacity automatically scales to handle sudden increases in traffic without requiring capacity planning. This eliminates throttling during unpredictable spikes and removes the operational burden of managing RCUs and WCUs. On-demand mode is particularly well-suited for workloads with variable or spiky access patterns.
Option B is incorrect because DynamoDB does not support read replicas in the same way as relational databases. Option C reduces cost for predictable workloads but does not prevent throttling if capacity limits are exceeded. Option D increases read cost and does not address capacity constraints.
Therefore, A is the best solution to improve resilience, eliminate throttling errors, and ensure a smooth user experience during traffic surges.

NEW QUESTION # 848
A company is preparing to deploy a new serverless workload. A solutions architect must use the principle of least privilege to configure permissions that will be used to run an AWS Lambda function. An Amazon EventBridge (Amazon CloudWatch Events) rule will invoke the function.
Which solution meets these requirements?

A. Add an execution role to the function with lambda: InvokeFunction as the action and * as the principal.
B. Add an execution role to the function with lambda: InvokeFunction as the action and Service:amazonaws.com as the principal.
C. Add a resource-based policy to the function with lambda: InvokeFunction as the action and Service:events.amazonaws.com as the principal.
D. Add a resource-based policy to the function with lambda:'* as the action and Service:events.amazonaws.com as the principal.

Answer: C

Explanation:
https://docs.aws.amazon.com/eventbridge/latest/userguide/resource-based-policies-eventbridge.html#lambda-per

NEW QUESTION # 849
[Design Resilient Architectures]
A social media company runs its application on Amazon EC2 instances behind an Application Load Balancer (ALB). The ALB is the origin for an Amazon CloudFront distribution. The application has more than a billion images stored in an Amazon S3 bucket and processes thousands of images each second. The company wants to resize the images dynamically and serve appropriate formats to clients.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create a CloudFront origin request policy. Use the policy to automatically resize images and to serve the appropriate format based on the User-Agent HTTP header in the request.
B. Use a Lambda@Edge function with an external image management library. Associate the Lambda@Edge function with the CloudFront behaviors that serve the images.
C. Create a CloudFront response headers policy. Use the policy to automatically resize images and to serve the appropriate format based on the User-Agent HTTP header in the request.
D. Install an external image management library on an EC2 instance. Use the image management library to process the images.

Answer: B

Explanation:
To resize images dynamically and serve appropriate formats to clients, a Lambda@Edge function with an external image management library can be used. Lambda@Edge allows running custom code at the edge locations of CloudFront, which can process the images on the fly and optimize them for different devices and browsers. An external image management library can provide various image manipulation and optimization features.
Reference:
Lambda@Edge
Resizing Images with Amazon CloudFront & Lambda@Edge

NEW QUESTION # 850
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