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Amazon AWS-Solutions-Associate Exam Syllabus Topics:

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

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q513-Q518):

NEW QUESTION # 513
A company's application is increasingly popular and experiencing latency because of high volume reads on the database server.
The service has the following properties:
A highly available REST API hosted in one region using Application Load Balancer (ALB) with auto

scaling.
A MySQL database hosted on an Amazon EC2 instance in a single Availability Zone.

The company wants to reduce latency, increase in-region database read performance, and have multi- region disaster recovery capabilities that can perform a live recovery automatically without any data or performance loss (HA/DR).
Which deployment strategy will meet these requirements?

A. Use Amazon ElastiCache for Redis Multi-AZ with an automatic failover to cache the database read queries. Use AWS OpsWorks to deploy the API layer, cache layer, and existing database layer in two regions. In the event of failure, use Amazon Route 53 health checks on the database to trigger a DNS failover to the standby region if the health checks in the primary region fail. Back up the MySQL database frequently, and in the event of a failure in an active region, copy the backup to the standby region and restore the standby database.
B. Use Amazon ElastiCache for Redis Multi-AZ with an automatic failover to cache the database read queries. Use AWS OpsWorks to deploy the API layer, cache layer, and existing database layer in two regions. Use Amazon Route 53 health checks on the ALB to trigger a DNS failover to the standby region if the health checks in the primary region fail. Back up the MySQL database frequently, and in the event of a failure in an active region, copy the backup to the standby region and restore the standby database.
C. Use AWS CloudFormation StackSets to deploy the API layer in two regions. Migrate the database to an Amazon Aurora with MySQL database cluster with multiple read replicas in one region and a read replica in a different region than the source database cluster. Use Amazon Route 53 health checks to trigger a DNS failover to the standby region if the health checks to the primary load balancer fail. In the event of Route 53 failover, promote the cross-region database replica to be the master and build out new read replicas in the standby region.
D. Use AWS CloudFormation StackSets to deploy the API layer in two regions. Add the database to an Auto Scaling group. Add a read replica to the database in the second region. Use Amazon Route 53 health checks in the primary region fail. Promote the cross-region database replica to be the master and build out new read replicas in the standby region.

Answer: C

NEW QUESTION # 514
A company is developing a real-time multiplier game that uses UDP for communications between client and servers in an Auto Scaling group. Spikes in demand are anticipated during the day, so the game server platform must adapt accordingly. Developers want to store gamer scores and other non-relational data in a database solution that will scale without intervention.
Which solution should a solutions architect recommend?

A. Use a Network Load Balancer for traffic distribution and Amazon Aurora Global Database for data storage.
B. Use a Network Load Balancer for traffic distribution and Amazon DynamoDB on-demand for data storage.
C. Use Amazon Route 53 for traffic distribution and Amazon Aurora Serverless for data storage.
D. Use an Application Load Balancer for traffic distribution and Amazon DynamoDB global tables for data storage.

Answer: B

NEW QUESTION # 515
A user has created a subnet in VPC and launched an EC2 instance within it. The user has not selected the option to assign the IP address while launching the instance. The user has 3 elastic IPs and is trying to assign one of the Elastic IPs to the VPC instance from the console. The console does not show any instance in the IP assignment screen. What is a possible reason that the instance is unavailable in the assigned IP console?

A. The user has not created an internet gateway
B. The IP addresses belong to EC2 Classic; so they cannot be assigned to VPC
C. The IP address may be attached to one of the instances
D. The IP address belongs to a different zone than the subnet zone

Answer: B

Explanation:
A Virtual Private Cloud (VPC) is a virtual network dedicated to the user's AWS account. A user can create a subnet with VPC and launch instances inside that subnet. When the user is launching an instance he needs to select an option which attaches a public IP to the instance. If the user has not selected the option to attach the public IP then it will only have a private IP when launched. If the user wants to connect to an instance from the internet he should create an elastic IP with VPC. If the elastic IP is a part of EC2 Classic it cannot be assigned to a VPC instance.
Reference: http://docs.aws.amazon.com/AmazonVPC/latest/GettingStartedGuide/LaunchInstance.html

NEW QUESTION # 516
A company has an on-premises application that generates a large amount of time-sensitive data that is backed up to Amazon S3. The application has grown and there are user complaints about internet bandwidth limitations. A solutions architect needs to design a long-term solution that allows for both timely backups to Amazon S3 and with minimal impact on internet connectivity for internal users.
Which solution meets these requirements?

A. Order daily AWS Snowball devices Load the data onto the Snowball devices and return the devices to AWS each day.
B. Submit a support ticket through the AWS Management Console Request the removal of S3 service limits from the account.
C. Establish AWS VPN connections and proxy all traffic through a VPC gateway endpoint
D. Establish a new AWS Direct Connect connection and direct backup traffic through this new connection.

Answer: D

Explanation:
To address the issue of bandwidth limitations on the company's on-premises application, and to minimize the impact on internal user connectivity, a new AWS Direct Connect connection should be established to direct backup traffic through this new connection. This solution will offer a secure, high-speed connection between the company's data center and AWS, which will allow the company to transfer data quickly without consuming internet bandwidth.
Reference:
AWS Direct Connect documentation:https://aws.amazon.com/directconnect/

NEW QUESTION # 517
Your customer is willing to consolidate their log streams (access logs application logs security logs etc.) in one single system. Once consolidated, the customer wants to analyze these logs in real time based on heuristics. From time to time, the customer needs to validate heuristics, which requires going back to data samples extracted from the last 12 hours?
What is the best approach to meet your customer's requirements?

A. Send all the log events to Amazon Kinesis develop a client process to apply heuristics on the logs
B. Send all the log events to Amazon SQS. Setup an Auto Scaling group of EC2 servers to consume the logs and apply the heuristics.
C. Configure Amazon Cloud Trail to receive custom logs, use EMR to apply heuristics the logs
D. Setup an Auto Scaling group of EC2 syslogd servers, store the logs on 53 use EMR to apply heuristics on the logs

Answer: A

Explanation:
The throughput of an Amazon Kinesis stream is designed to scale without limits via increasing the number of shards within a stream. However, there are certain limits you should keep in mind while using Amazon Kinesis Streams:
By default, Records of a stream are accessible for up to 24 hours from the time they are added to the stream. You can raise this limit to up to 7 days by enabling extended data retention.
The maximum size of a data blob (the data payload before Base64-encoding) within one record is 1 megabyte (MB).
Each shard can support up to 1000 PUT records per second.
For more information about other API level limits, see Amazon Kinesis Streams Limits.

NEW QUESTION # 518
......

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