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Amazon AWS-Solutions-Associate Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Design High-Performing Architectures24%- Design high-performing storage solutions
  • 1. Caching strategies
  • 2. Storage performance optimization
  • 3. Data access patterns
- Design high-performing network architectures
  • 1. Global acceleration
  • 2. Network throughput and latency
  • 3. Content delivery
- Design high-performing compute solutions
  • 1. Workload optimization
  • 2. Compute selection and sizing
  • 3. Parallel processing
Topic 2: Design Resilient Architectures26%- Design highly available and fault-tolerant architectures
  • 1. Disaster recovery strategies
  • 2. Fault tolerance mechanisms
  • 3. High availability configurations
- Design resilient compute solutions
  • 1. Workload distribution
  • 2. Compute redundancy
  • 3. Auto-scaling and elasticity
- Design resilient storage solutions
  • 1. Storage durability and availability
  • 2. Data consistency models
  • 3. Replication and backup
Topic 3: Design Secure Architectures30%- Design secure network architectures
  • 1. Edge security
  • 2. Traffic protection
  • 3. Network isolation and segmentation
- Design secure workloads and applications
  • 1. Data protection
  • 2. Threat detection and mitigation
  • 3. Security by design principles
- Design access management
  • 1. Identity and access management
  • 2. Federated access
  • 3. Resource access control
Topic 4: Design Cost-Optimized Architectures20%- Design cost-optimized compute solutions
  • 1. Right-sizing and scaling
  • 2. Serverless and managed services
  • 3. Instance selection and purchasing options
- Design cost-optimized network architectures
  • 1. Network service selection
  • 2. Traffic routing efficiency
  • 3. Data transfer cost optimization
- Design cost-optimized storage solutions
  • 1. Data lifecycle management
  • 2. Storage class selection
  • 3. Cost monitoring and optimization

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q41-Q46):

NEW QUESTION # 41
A company plans to use AWS to run high-performance computing (HPC) workloads and analytics workloads.
The company will run HPC workloads on Amazon EC2 instances. The workloads require a high-performance file system that can scale to millions of input/output operations per second (IOPS). Which combination of steps will meet these requirements? (Select TWO.)

Answer: B,D

Explanation:
Option B (Amazon FSx for Lustre): FSx for Lustre is optimized for high-performance file systems required by HPC workloads, scaling to millions of IOPS and supporting parallelized data access.
Option E (Cluster Placement Group with Auto Scaling): A cluster placement group ensures low-latency communication between EC2 instances, critical for HPC workloads. Amazon EMR simplifies running large- scale analytics jobs.
Amazon FSx for Lustre Documentation,AWS Placement Groups Documentation


NEW QUESTION # 42
Your company runs a customer facing event registration site This site is built with a 3-tier architecture with web and application tier servers and a MySQL database The application requires 6 web tier servers and 6 application tier servers for normal operation, but can run on a minimum of 65% server capacity and a single MySQL database. When deploying this application in a region with three availability zones (AZs) which architecture provides high availability?

Answer: A

Explanation:
Amazon RDS Multi-AZ Deployments
Amazon RDS Multi-AZ deployments provide enhanced availability and durability for Database (DB) Instances, making them a natural fit for production database workloads. When you provision a Multi-AZ DB Instance, Amazon RDS automatically creates a primary DB Instance and synchronously replicates the data to a standby instance in a different Availability Zone (AZ). Each AZ runs on its own physically distinct, independent infrastructure, and is engineered to be highly reliable. In case of an infrastructure failure (for example, instance hardware failure, storage failure, or network disruption), Amazon RDS performs an automatic failover to the standby, so that you can resume database operations as soon as the failover is complete. Since the endpoint for your DB Instance remains the same after a failover, your application can resume database operation without the need for manual administrative intervention.
Enhanced Durability
Multi-AZ deployments for the MySQL, Oracle, and PostgreSQL engines utilize synchronous physical replication to keep data on the standby up-to-date with the primary. Multi-AZ deployments for the SQL Server engine use synchronous logical replication to achieve the same result, employing SQL Server-native Mirroring technology. Both approaches safeguard your data in the event of a DB Instance failure or loss of an Availability Zone.
If a storage volume on your primary fails in a Multi-AZ deployment, Amazon RDS automatically initiates a failover to the up-to-date standby. Compare this to a Single-AZ deployment: in case of a Single-AZ database failure, a user-initiated point-in-time-restore operation will be required. This operation can take several hours to complete, and any data updates that occurred after the latest restorable time (typically within the last five minutes) will not be available.
Amazon Aurora employs a highly durable, SSD-backed virtualized storage layer purpose-built for database workloads. Amazon Aurora automatically replicates your volume six ways, across three Availability Zones. Amazon Aurora storage is fault-tolerant, transparently handling the loss of up to two copies of data without affecting database write availability and up to three copies without affecting read availability. Amazon Aurora storage is also self-healing. Data blocks and disks are continuously scanned for errors and replaced automatically.
Increased Availability
You also benefit from enhanced database availability when running Multi-AZ deployments. If an Availability Zone failure or DB Instance failure occurs, your availability impact is limited to the time automatic failover takes to complete: typically under one minute for Amazon Aurora and one to two minutes for other database engines (see the RDS FAQ for details).
The availability benefits of Multi-AZ deployments also extend to planned maintenance and backups. In the case of system upgrades like OS patching or DB Instance scaling, these operations are applied first on the standby, prior to the automatic failover. As a result, your availability impact is, again, only the time required for automatic failover to complete.
Unlike Single-AZ deployments, 1/0 activity is not suspended on your primary during backup for Multi-AZ deployments for the MySQL, Oracle, and PostgreSQL engines, because the backup is taken from the standby. However, note that you may still experience elevated latencies for a few minutes during backups for Multi-AZ deployments.
On instance failure in Amazon Aurora deployments, Amazon RDS uses RDS Multi-AZ technology to automate failover to one of up to 15 Amazon Aurora Replicas you have created in any of three Availability Zones. If no Amazon Aurora Replicas have been provisioned, in the case of a failure, Amazon RDS will attempt to create a new Amazon Aurora DB instance for you automatically.


NEW QUESTION # 43
AWS ________supports__________ environments as one of the AWS resource types.

Answer: D

Explanation:
Explanation/Reference:
Explanation:
AWS CloudFormation and AWS Elastic Beanstalk services are designed to complement each other. AWS CloudFormation supports Elastic Beanstalk application environments as one of the AWS resource types.
http://aws.amazon.com/cloudformation/faqs/


NEW QUESTION # 44
A company runs its production workload on an Amazon Aurora MySQL DB cluster that includes six Aurora Replicas. The company wants near-real-lime reporting queries from one of its departments to be automatically distributed across three of the Aurora Replicas. Those three replicas have a different compute and memory specification from the rest of the DB cluster.
Which solution meets these requirements?

Answer: C


NEW QUESTION # 45
A user is planning a highly available application deployment with EC2. Which of the below mentioned options will not help to achieve HA?

Answer: C

Explanation:
In Amazon Web Service, the user can achieve HA by deploying instances in multiple zones. The elastic IP helps the user achieve HA when one of the instances is down but still keeps the same URL. The AMI helps launching the new instance. The PIOPS is for the performance of EBS and does not help for HA.
Reference: http://media.amazonwebservices.com/AWS_Web_Hosting_Best_Practices.pdf


NEW QUESTION # 46
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