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Amazon SAA-C03 Exam Syllabus Topics:

SectionWeightObjectives
Design Cost-Optimized Architectures20%- Control and monitor costs
  • 1. Resource tagging and allocation
  • 2. Cost management tools and alerts
- Identify cost-effective storage solutions
  • 1. Data retention and archiving
  • 2. Storage classes and lifecycle policies
- Design cost-effective compute and network solutions
  • 1. Serverless and pay-as-you-go models
  • 2. Right-sizing and reserved instances
  • 3. Data transfer cost optimization
Design Resilient Architectures26%- Design decoupled and loosely coupled systems
  • 1. Event-driven architectures
  • 2. Messaging and queue services
  • 3. Serverless and managed service integration
- Design highly available and fault-tolerant architectures
  • 1. Regions, Availability Zones, and edge locations
  • 2. Replication and disaster recovery strategies
  • 3. Load balancing and auto scaling
- Design for reliability and recovery
  • 1. Failover and failback processes
  • 2. Backup and restore mechanisms
Design High-Performing Architectures24%- Design high-performance compute solutions
  • 1. Instance types and sizing
  • 2. Scaling and performance optimization
  • 3. Compute options (EC2, Lambda, ECS, EKS)
- Design high-performance storage solutions
  • 1. Storage performance and durability
  • 2. Caching and content delivery
  • 3. Storage types (object, block, file)
- Design high-performance networking solutions
  • 1. Global acceleration and routing
  • 2. Network architecture and connectivity
  • 3. Latency reduction and throughput optimization
Design Secure Architectures30%- Design for security and threat detection
  • 1. Incident response and security automation
  • 2. Monitoring and logging services
- Design secure workloads and applications
  • 1. Compliance and governance controls
  • 2. Data protection and encryption (at rest/in transit)
  • 3. Network security (VPC, security groups, NACLs)
- Design secure access to AWS resources
  • 1. Multi-account access and control
  • 2. Identity and access management (IAM, IAM Identity Center)
  • 3. Shared responsibility model
  • 4. Security best practices and least privilege

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q683-Q688):

NEW QUESTION # 683
A company needs to optimize the cost of its Amazon EC2 Instances. The company also needs to change the type and family of its EC2 instances every 2-3 months.
What should the company do lo meet these requirements?

Answer: B

Explanation:
Understanding the Requirements: The company needs to optimize costs and has the flexibility to change EC2 instance types and families frequently (every 2-3 months).
Savings Plans Overview: Savings Plans offer significant savings over On-Demand pricing, with the flexibility to use any instance type and family within a region.
No Upfront Compute Savings Plan: This plan allows for cost optimization without any upfront payment, offering flexibility to change instance types and families.
Term Selection: A 1-year term is appropriate for balancing cost savings and flexibility given the frequent changes in instance types.
Conclusion: A No Upfront Compute Savings Plan for a 1-year term provides the needed flexibility and cost savings without the commitment and inflexibility of Reserved Instances.
Reference
AWS Savings Plans: AWS Savings Plans
AWS Cost Management Documentation: AWS Cost Management


NEW QUESTION # 684
A company deployed a high-performance computing (HPC) cluster that spans multiple EC2 instances across multiple Availability Zones and processes various wind simulation models. Currently, the Solutions Architect is experiencing a slowdown in their applications and upon further investigation, it was discovered that it was due to latency issues.
Which is the MOST suitable solution that the Solutions Architect should implement to provide low-latency network performance necessary for tightly-coupled node-to-node communication of the HPC cluster?

Answer: A

Explanation:
When you launch a new EC2 instance, the EC2 service attempts to place the instance in such a way that all of your instances are spread out across underlying hardware to minimize correlated failures. You can use placement groups to influence the placement of a group of interdependent instances to meet the needs of your workload. Depending on the type of workload, you can create a placement group using one of the following placement strategies:
Cluster - packs instances close together inside an Availability Zone. This strategy enables workloads to achieve the low-latency network performance necessary for tightly-coupled node-to-node communication that is typical of HPC applications.
Partition - spreads your instances across logical partitions such that groups of instances in one partition do not share the underlying hardware with groups of instances in different partitions. This strategy is typically used by large distributed and replicated workloads, such as Hadoop, Cassandra, and Kafka.
Spread - strictly places a small group of instances across distinct underlying hardware to reduce correlated failures.
Cluster placement groups are recommended for applications that benefit from low network latency, high network throughput, or both. They are also recommended when the majority of the network traffic is between the instances in the group. To provide the lowest latency and the highest packet-per-second network performance for your placement group, choose an instance type that supports enhanced networking.

Partition placement groups can be used to deploy large distributed and replicated workloads, such as HDFS, HBase, and Cassandra, across distinct racks. When you launch instances into a partition placement group, Amazon EC2 tries to distribute the instances evenly across the number of partitions that you specify. You can also launch instances into a specific partition to have more control over where the instances are placed.

Spread placement groups are recommended for applications that have a small number of critical instances that should be kept separate from each other. Launching instances in a spread placement group reduces the risk of simultaneous failures that might occur when instances share the same racks.
Spread placement groups provide access to distinct racks, and are therefore suitable for mixing instance types or launching instances over time. A spread placement group can span multiple Availability Zones in the same Region. You can have a maximum of seven running instances per Availability Zone per group.

Hence, the correct answer is: Set up a cluster placement group within a single Availability Zone in the same AWS Region.
The option that says: Set up a spread placement group across multiple Availability Zones in multiple AWS Regions is incorrect because although using a placement group is valid for this particular scenario, you can only set up a placement group in a single AWS Region only. A spread placement group can span multiple Availability Zones in the same Region.
The option that says: Set up AWS Direct Connect connections across multiple Availability Zones for increased bandwidth throughput and more consistent network experience is incorrect because this is primarily used for hybrid architectures. It bypasses the public Internet and establishes a secure, dedicated connection from your on-premises data center into AWS, and not used for having low latency within your AWS network.
The option that says: Use EC2 Dedicated Instances is incorrect because these are EC2 instances that run in a VPC on hardware that is dedicated to a single customer and are physically isolated at the host hardware level from instances that belong to other AWS accounts. It is not used for reducing latency.
References:
http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/placement-groups.html
https://aws.amazon.com/hpc/
Check out this Amazon EC2 Cheat Sheet:
https://tutorialsdojo.com/amazon-elastic-compute-cloud-amazon-ec2/


NEW QUESTION # 685
A company has applications that run on Amazon EC2 instances. The EC2 instances connect to Amazon RDS databases by using an IAM role that has associated policies. The company wants to use AWS Systems Manager to patch the EC2 instances without disrupting the running applications.
Which solution will meet these requirements?

Answer: B

Explanation:
The most suitable solution for the company's requirements is to enable Default Host Configuration Management in Systems Manager to manage the EC2 instances. This solution will allow the company to patch the EC2 instances without disrupting the running applications and without manually creating or modifying IAM roles or users.
Default Host Configuration Management is a feature of AWS Systems Manager that enables Systems Manager to manage EC2 instances automatically as managed instances. A managed instance is an EC2 instance that is configured for use with Systems Manager. The benefits of managing instances with Systems Manager include the following:
Connect to EC2 instances securely using Session Manager.
Perform automated patch scans using Patch Manager.
View detailed information about instances using Systems Manager Inventory.
Track and manage instances using Fleet Manager.
Keep SSM Agent up to date automatically.
Default Host Configuration Management makes it possible to manage EC2 instances without having to manually create an IAM instance profile. Instead, Default Host Configuration Management creates and applies a default IAM role to ensure that Systems Manager has permissions to manage all instances in the Region and account where it is activated.If thepermissions provided are not sufficient for the use case, the default IAM role can be modified or replaced with a custom role1.
The other options are not correct because they either have more operational overhead or do not meet the requirements. Creating a new IAM role, attaching the AmazonSSMManagedInstanceCore policy to the new IAM role, and attaching the new IAM role and the existing IAM role to the EC2 instances is not correct because this solution requires manual creation and management of IAM roles, which adds complexity and cost to the solution.The AmazonSSMManagedInstanceCore policy is a managed policy that grants permissions for Systems Manager core functionality2. Creating an IAM user, attaching the AmazonSSMManagedInstanceCore policy to the IAM user, and configuring Systems Manager to use the IAM user to manage the EC2 instances is not correct because this solution requires manual creation and management of IAM users, which adds complexity and cost to the solution.An IAM user is an identity within an AWS account that has specific permissions for a single person or application3. Removing the existing policies from the existing IAM role and adding the AmazonSSMManagedInstanceCore policy to the existing IAM role is not correct because this solution may disrupt the running applications that rely on the existing policies for accessing RDS databases.An IAM role is an identity within an AWS account that has specific permissions for a service or entity4.
References:
AWS managed policy: AmazonSSMManagedInstanceCore
IAM users
IAM roles
Default Host Management Configuration - AWS Systems Manager


NEW QUESTION # 686
A company runs an Oracle database on premises. As part of the company's migration to AWS, the company wants to upgrade the database to the most recent available version. The company also wants to set up disaster recovery (DR) for the database. The company needs to minimize the operational overhead for normal operations and DR setup. The company also needs to maintain access to the database's underlying operating system.
Which solution will meet these requirements?

Answer: A

Explanation:
Explanation
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/rds-custom.html and
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/working-with-custom-oracle.html


NEW QUESTION # 687
[Design Secure Architectures]
A solutions architect must secure a VPC network that hosts Amazon EC2 instances The EC2

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