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Amazon AWS-Solutions-Associate Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Design Secure Architectures	30%	- Appropriate data security controls 1. Encryption at rest and in transit 2. AWS KMS, AWS CloudHSM 3. Security posture management 4. S3 bucket policies and access controls - Design secure application tiers 1. AWS PrivateLink, VPC endpoints 2. Public vs private subnets 3. Application security patterns 4. VPC architecture (subnets, ACLs, security groups) - Design secure access to AWS resources 1. IAM users, groups, roles, and policies 2. Least privilege principles 3. IAM permissions boundaries 4. AWS STS and temporary credentials
Topic 2: Design Resilient Architectures	26%	- Implement appropriate caching strategies 1. Amazon ElastiCache 2. AWS Global Accelerator 3. Cache invalidation strategies 4. Amazon CloudFront - Design highly available architectures 1. Disaster recovery strategies 2. RTO and RPO considerations 3. Amazon Route 53 routing policies 4. Fault-tolerant design patterns - Design multi-tier architectures 1. Multi-AZ deployments 2. Highly available architecture patterns 3. Load balancing strategies 4. Auto Scaling groups
Topic 3: Design Cost-Optimized Architectures	20%	- Design cost-optimized storage solutions 1. S3 lifecycle policies 2. Cost-effective data storage patterns 3. Storage Gateway 4. Intelligent Tiering - Design cost-optimized compute solutions 1. Reserved Instances vs On-Demand vs Spot 2. Savings Plans 3. Right-sizing resources 4. Auto Scaling cost optimization - Design cost-optimized database solutions 1. Amazon RDS, Aurora pricing 2. DynamoDB on-demand vs provisioned 3. Cost-effective query patterns 4. Database caching strategies
Topic 4: Design High-Performing Architectures	24%	- Design data transfer solutions 1. AWS DataSync, Snow Family 2. Network optimization 3. S3 Transfer Acceleration - Identify elastic and scalable compute solutions 1. EC2 Auto Scaling 2. Serverless architectures 3. Container-based solutions 4. Amazon ECS, EKS, Lambda - Design highly available and scalable storage solutions 1. Storage cost optimization 2. Amazon S3 storage classes 3. Amazon EFS, EBS, FSx 4. Data lifecycle management

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q302-Q307):

NEW QUESTION # 302
A company has a service that produces event data. The company wants to use AWS to process the event data as it is received. The data is written in a specific order that must be maintained throughout processing The company wants to implement a solution that minimizes operational overhead.
How should a solutions architect accomplish this?

A. Create an Amazon Simple Notification Service (Amazon SNS) topic to deliver notifications containing payloads to process Configure an AWS Lambda function as a subscriber.
B. Create an Amazon Simple Notification Service (Amazon SNS) topic to deliver notifications containing payloads to process.Configure an Amazon Simple Queue Service (Amazon SQS) queue as a subscriber.
C. Create an Amazon Simple Queue Service (Amazon SQS) standard queue to hold messages. Set up an AWS Lambda function to process messages from the queue independently
D. Create an Amazon Simple Queue Service (Amazon SQS) FIFO queue to hold messages Set up an AWS Lambda function to process messages from the queue

Answer: D

Explanation:
The details are revealed in below url:https://docs.aws.amazon.com/AWSSimpleQueueService/latest
/SQSDeveloperGuide/FIFO-queues.html
FIFO (First-In-First-Out) queues are designed to enhance messaging between applications when the order of operations and events is critical, or where duplicates can't be tolerated. Examples of situations where you might use FIFO queues include the following: To make sure that user-entered commands are run in the right order. To display the correct product price by sending price modifications in the right order. To prevent a student from enrolling in a course before registering for an account.

NEW QUESTION # 303
A company's production application runs online transaction processing (OLTP) transactions on an Amazon RDS MySQL DB instance The company is launching a new reporting tool that will access the same data The reporting tool must be highly available and not impact the performance of the production application How can this be achieved'?

A. Create multiple RDS Read Replicas of the production RDS DB instance Place the Read Replicas in an Auto Scaling group
B. Create a Multi-AZ RDS Read Replica of the production RDS DB instance
C. Create hourly snapshots of the production RDS DB instance
D. Create a Single-AZ RDS Read Replica of the production RDS DB instance Create a second Single-AZ RDS Read Replica from the replica

Answer: B

NEW QUESTION # 304
A reporting team receives files each day in an Amazon S3 bucket. The reporting team manually reviews and copies the files from this initial S3 bucket to an analysis S3 bucket each day at the same time to use with Amazon QuickSight. Additional teams are starting to send more files in larger sizes to the initial S3 bucket.
The reporting team wants to move the files automatically analysis S3 bucket as the files enter the initial S3 bucket. The reporting team also wants to use AWS Lambda functions to run pattern-matching code on the copied data. In addition, the reporting team wants to send the data files to a pipeline in Amazon SageMaker Pipelines.
What should a solutions architect do to meet these requirements with the LEAST operational overhead?

A. Create a Lambda function to copy the files to the analysis S3 bucket. Create an S3 event notification for the analysis S3 bucket. Configure Lambda and SageMaker Pipelines as destinations of the event notification. Configure s30bjectCreated:Put as the event type.
B. Create a Lambda function to copy the files to the analysis S3 bucket. Configure the analysis S3 bucket to send event notifications to Amazon EventBridge (Amazon CloudWatch Events). Configure an ObjectCreated rule in EventBridge (CloudWatch Events). Configure Lambda and SageMaker Pipelines as targets for the rule.
C. Configure S3 replication between the S3 buckets. Configure the analysis S3 bucket to send event notifications to Amazon EventBridge (Amazon CloudWatch Events). Configure an ObjectCreated rule in EventBridge (CloudWatch Events). Configure Lambda and SageMaker Pipelines as targets for the rule.
D. Configure S3 replication between the S3 buckets. Create an S3 event notification for the analysis S3 bucket. Configure Lambda and SageMaker Pipelines as destinations of the event notification. Configure s30bjectCreated:Put as the event type.

Answer: C

Explanation:
This solution meets the requirements of moving the files automatically, running Lambda functions on the copied data, and sending the data files to SageMaker Pipelines with the least operational overhead. S3 replication can copy the files from the initial S3 bucket to the analysis S3 bucket as they arrive. The analysis S3 bucket can send event notifications to Amazon EventBridge (Amazon CloudWatch Events) when an object is created. EventBridge can trigger Lambda and SageMaker Pipelines as targets for the ObjectCreated rule.
Lambda can run pattern-matching code on the copied data, and SageMaker Pipelines can execute a pipeline with the data files.
Option A is incorrect because creating a Lambda function to copy the files to the analysis S3 bucket is not necessary when S3 replication can do that automatically. It also adds operational overhead to manage the Lambda function. Option B is incorrect because creating a Lambda function to copy the files to the analysis S3 bucket is not necessary when S3 replication can do that automatically. It also adds operational overhead to manage the Lambda function. Option C is incorrect because using S3 event notification with multiple destinations can result in throttling or delivery failures if there are too many events.
References:
https://aws.amazon.com/blogs/machine-learning/automate-feature-engineering-pipelines-with-amazon-sag
https://docs.aws.amazon.com/sagemaker/latest/dg/automating-sagemaker-with-eventbridge.html
https://aws.amazon.com/about-aws/whats-new/2021/04/new-options-trigger-amazon-sagemaker-pipeline-e

NEW QUESTION # 305
A solutions architect is designing the architecture of a new application being deployed to the AWS Cloud. The application will run on Amazon EC2 On-Demand Instances and will automatically scale across multiple Availability Zones. The EC2 instances will scale up and down frequently throughout the day. An Application Load Balancer (ALB) will handle the load distribution. The architecture needs to support distributed session data management. The company is willing to make changes to code if needed.
What should the solutions architect do to ensure that the architecture supports distributed session data management?

A. Use session affinity (sticky sessions) of the ALB to manage session data.
B. Use Amazon ElastiCache to manage and store session data.
C. Use the GetSessionToken API operation in AWS Security Token Service (AWS STS) to manage the session
D. Use Session Manager from AWS Systems Manager to manage the session.

Answer: B

Explanation:
https://aws.amazon.com/vi/caching/session-management/
In order to address scalability and to provide a shared data storage for sessions that can be accessible from any individual web server, you can abstract the HTTP sessions from the web servers themselves. A common solution to for this is to leverage an In-Memory Key/Value store such as Redis and Memcached. ElastiCache offerings for In-Memory key/value stores include ElastiCache for Redis, which can support replication, and ElastiCache for Memcached which does not support replication.

NEW QUESTION # 306
If a single condition within an IAM policy includes multiple values for one key, it will be evaluated using a logical______.

A. NOR
B. NAND
C. AND
D. OR

Answer: D

Explanation:
If a single condition within an IAM policy includes multiple values for one key, it will be evaluated using a logical OR.
Reference:
http://docs.aws.amazon.com/IAM/latest/UserGuide/reference_policies_elements.html

NEW QUESTION # 307
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