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Amazon AWS-Solutions-Associate Exam Syllabus Topics:

Section	Weight	Objectives
Design High-Performing Architectures	24%	- Compute optimization 1. EC2 instance selection and scaling 2. Lambda serverless design patterns - Storage and database performance 1. EBS, EFS, and S3 performance considerations 2. RDS vs DynamoDB selection patterns
Design Cost-Optimized Architectures	16%	- Cost monitoring and optimization 1. Storage lifecycle policies (S3) 2. AWS Cost Explorer usage - Cost-aware resource selection 1. Right-sizing EC2 instances 2. Reserved Instances vs On-Demand vs Spot
Design Secure Architectures	30%	- Design secure access to AWS resources 1. IAM users, roles, and policies 2. Cross-account access strategies 3. Least privilege access design - Design secure workloads and applications 1. Secrets management (AWS Secrets Manager, SSM Parameter Store) 2. Data encryption at rest and in transit (KMS, TLS)
Design Resilient Architectures	30%	- Decoupling mechanisms 1. SNS for pub/sub notifications 2. Event-driven architectures 3. SQS for messaging - Highly available and fault-tolerant architectures 1. Load balancing (ELB, ALB, NLB) 2. Multi-AZ deployments 3. Auto Scaling strategies

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q444-Q449):

NEW QUESTION # 444
A company collects temperature, humidity, and atmospheric pressure data in cities across multiple continents.
The average volume of data collected per site each day is 500 GB. Each site has a high-speed internet connection. The company's weather forecasting applications are based in a single Region and analyze the data daily.
What is the FASTEST way to aggregate data for all of these global sites?

A. Upload site data to an Amazon S3 bucket in the closest AWS Region. Use S3 cross-Region replication to copy objects to the destination bucket.
B. Enable Amazon S3 Transfer Acceleration on the destination bucket. Use multipart uploads to directly upload site data to the destination bucket.
C. Upload the data to an Amazon EC2 instance in the closes Region. Store the data in an Amazon EBS volume. One a day take an EBS snapshot and copy it to the centralize Region. Restore the EBS volume in the centralized Region and run an analysis on the data daily.
D. Upload site data to an Amazon S3 bucket in the closest AWS Region. Use S3 cross-Region replication to copy objects to the destination bucket.

Answer: A

Explanation:
Explanation
Step -1 To transfer to S3 from global sites : Amazon S3 Transfer Acceleration enables fast, easy, and secure transfers of files over long distances between your client and your Amazon S3 bucket. S3 Transfer Acceleration leverages Amazon CloudFront's globally distributed AWS Edge Locations. Used to accelerate object uploads to S3 over long distances (latency). Transfer acceleration is as secure as a direct upload to S3.
Step -2 : When the application analyze/aggregate the data from S3 and then again upload the results - Multipart upload
http://lavnish.blogspot.com/2017/06/aws-s3-cross-region-replication.html
https://aws.amazon.com/s3/transfer-acceleration/

NEW QUESTION # 445
An ecommerce application places orders in an Amazon Simple Queue Service (Amazon SQS) queue When a message is received, the Amazon EC2 worker instances process the request The EC2 instances are in an Auto Scaling group 236 How should the architecture be designed to scale the auto scaling group with the LEAST amount of operational overhead?

A. Use an Amazon EC2 Auto Scaling health check for messages processed on the EC2 instances to scale up or down.
B. Use an Amazon CloudWatch alarm based on the number of messages in the queue to scale the Auto Scaling group up or down
C. Use an Amazon CloudWatch alarm on the EC2 CPU to scale the Auto Scaling group up and down
D. Use an Amazon CloudWatch alarm based on the CPU to scale the Auto Scaling group up or down

Answer: B

NEW QUESTION # 446
A client application requires operating system privileges on a relational database server. What is an appropriate configuration for a highly available database architecture?

A. Amazon EC2 instances in a replication configuration utilizing a single Availability Zone
B. Amazon EC2 instances in a replication configuration utilizing two different Availability Zones
C. Amazon RDS in a Multi-AZ configuration
D. A standalone Amazon EC2 instance

Answer: B

Explanation:
Explanation
http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using-regions-availability-zones.html

NEW QUESTION # 447
A Solutions Architect is working with an infrastructure that consists of multiple Amazon EC2 application and web servers. The Architect needs to be able to meet demand for an expected spike in traffic to the website.
How can the Architect ensure high availability and durability?

A. Elastic Load Balancing and AWS CloudFormation
B. Placement groups and Amazon CloudFront
C. Auto scaling and Elastic Load Balancing
D. AWS CloudFormation and Amazon CloudFront

Answer: C

NEW QUESTION # 448
A company hosts a multi-tier web application that uses an Amazon Aurora MySQL DB cluster for storage.
The application tier is hosted on Amazon EC2 instances The company's IT security guidelines mandate that the database credentials be encrypted and rotated every 14 days What should a solutions architect do to meet this requirement with the LEAST operational effort?

A. Create two parameters m AWS Systems Manager Parameter Store one for the user name as a string parameter and one that uses the SecureStnng type for the password Select AWS Key Management Service (AWS KMS) encryption for the password parameter, and load these parameters in the application tier Implement an AWS Lambda function that rotates the password every 14 days.
B. Store a file that contains the credentials in an AWS Key Management Service (AWS KMS) encrypted Amazon Elastic File System (Amazon EFS) file system Mount the EFS file system in all EC2 instances of the application tier. Restrict the access to the file on the file system so that the application can read the file and that only super users can modify the file Implement an AWS Lambda function that rotates the key in Aurora every 14 days and writes new credentials into the file
C. Create a new AWS Key Management Service (AWS KMS) encryption key Use AWS Secrets Manager to create a new secret that uses the KMS key with the appropriate credentials Associate the secret with the Aurora DB cluster Configure a custom rotation period of 14 days
D. Store a file that contains the credentials in an AWS Key Management Service (AWS KMS) encrypted Amazon S3 bucket that the application uses to load the credentials Download the file to the application regularly to ensure that the correct credentials are used Implement an AWS Lambda function that rotates the Aurora credentials every 14 days and uploads these credentials to the file in the S3 bucket

Answer: C

NEW QUESTION # 449
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