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【Hardware】 SAA-C03 Test Braindumps | New SAA-C03 Exam Cram

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To prepare for the Amazon SAA-C03 exam, candidates are advised to familiarize themselves with the AWS platform and its core services. They should also have a good understanding of cloud computing concepts, such as virtualization, storage, and networking. There are many resources available online to help candidates prepare for the exam, including AWS documentation, training courses, and practice exams.
Amazon SAA-C03 Exam Syllabus Topics:
TopicDetails
Topic 1
  • Design Secure Architectures: This section of the exam measures skills of Cloud Security Engineers and Solutions Architects and covers the design of secure architectures on AWS. Learners explore secure access to AWS resources, secure workloads and applications, and appropriate data security controls. The content addresses access controls and management across multiple accounts, AWS federated access and identity services, VPC architectures with security components, network segmentation strategies, application security integration, data access and governance, encryption and key management, and compliance requirements. The material focuses on applying AWS security best practices, designing flexible authorization models, implementing role based access control strategies, securing network connections, encrypting data at rest and in transit, and implementing data backup and protection policies.
Topic 2
  • Design Cost Optimized Architectures: This section of the exam measures skills of Cloud Financial Analysts and Solutions Architects and covers the design of cost optimized architectures that maximize value while minimizing expenses. Learners study cost optimized storage solutions, compute solutions, database solutions, and network architectures. The content addresses AWS cost management service features and tools, storage access patterns and tiering, backup strategies, AWS purchasing options, distributed compute strategies, instance types and sizes, compute utilization optimization, scaling strategies, caching strategies, data retention policies, database capacity planning, load balancing concepts, NAT gateways, and network routing and peering. The material focuses on designing appropriate storage strategies, managing object lifecycles, determining cost effective compute and database services, selecting appropriate instance families and sizes, configuring appropriate network connections and routes, minimizing network transfer costs, and reviewing existing workloads for optimization opportunities.
Topic 3
  • Design Resilient Architectures: This section of the exam measures skills of Infrastructure Architects and Solutions Architects and covers the design of resilient architectures that ensure business continuity. Learners study scalable and loosely coupled architectures, highly available and fault tolerant architectures, and disaster recovery strategies. The content addresses API creation and management, caching strategies, microservices design principles, event driven architectures, horizontal and vertical scaling, load balancing concepts, serverless technologies and patterns, container orchestration, AWS global infrastructure, distributed design patterns, failover strategies, and service quotas and throttling. The material focuses on designing event driven and multi tier architectures, determining scaling strategies, achieving loose coupling, implementing automation to ensure infrastructure integrity, mitigating single points of failure, and selecting appropriate disaster recovery strategies to meet business requirements.
Topic 4
  • Design High Performing Architectures: This section of the exam measures skills of Performance Engineers and Solutions Architects and covers the design of high performing architectures that meet demanding workload requirements. Learners explore high performing and scalable storage solutions, elastic compute solutions, database solutions, network architectures, and data ingestion and transformation solutions. The content addresses hybrid storage solutions, compute services with appropriate use cases, distributed computing concepts, database capacity planning and replication, caching strategies, edge networking services, network architecture design, data analytics and visualization services, data transfer services, and streaming data services. The material focuses on determining storage configurations that meet performance demands, decoupling workloads for independent scaling, selecting appropriate compute and database options, creating network topologies for various architectures, building and securing data lakes, designing data streaming architectures, and implementing visualization strategies.

The SAA-C03 Exam is designed to assess the candidate's understanding of AWS services and how they can be used to design and deploy applications in a cloud environment. SAA-C03 exam consists of 65 multiple-choice and multiple-response questions that must be answered within 130 minutes. The passing score for SAA-C03 exam is 720 out of a possible 1000 points.
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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q480-Q485):NEW QUESTION # 480
A company is developing a monolithic Microsoft Windows based application that will run on Amazon EC2 instances. The application will run long data-processing jobs that must not be in-terrupted. The company has modeled expected usage growth for the next 3 years. The company wants to optimize costs for the EC2 instances during the 3-year growth period.
  • A. Purchase a Compute Savings Plan with a 1-year commitment. Renew the purchase and adjust the capacity each year as necessary.
  • B. Deploy the application on EC2 Spot Instances. Use an Auto Scaling group with a minimum size of 1 to ensure that the application is always running.
  • C. Purchase a Compute Savings Plan with a 3-year commitment. Adjust the hourly commit-ment based on the plan recommendations.
  • D. Purchase an EC2 Instance Savings Plan with a 3-year commitment. Adjust the hourly com-mitment based on the plan recommendations.
Answer: C
Explanation:
For steady, predictable EC2 usage with potential changes in instance families over time, AWS recommends Savings Plans. Compute Savings Plans "apply to any EC2 instance regardless of region, instance family, operating system, or tenancy," and also apply to AWS Fargate and AWS Lambda, delivering the most flexibility over a multi-year horizon. A 3-year term provides the highest discount among Savings Plans for long-lived workloads. EC2 Instance Savings Plans are limited to a chosen instance family in a region; as needs evolve (e.g., size or family changes), discounts may not fully apply. Spot Instances are not appropriate for long, interruption-sensitive jobs because Spot capacity can be reclaimed with short notice. Therefore, a Compute Savings Plan (3-year) best matches cost optimization with flexibility for growth and changes.
References: AWS Cost Management - Savings Plans (Compute vs. EC2 Instance), EC2 purchasing options guidance, Well-Architected Cost Optimization (choose pricing models to match workload).

NEW QUESTION # 481
A company has an organization in AWS Organizations that has all features enabled. The company has multiple Amazon S3 buckets in multiple AWS Regions around the world. The S3 buckets contain sensitive data.
The company needs to ensure that no personally identifiable information (PII) is stored in the S3 buckets. The company also needs a scalable solution to identify PII.
Which solution will meet these requirements?
  • A. For each Region in the Organizations management account, configure a service control policy (SCP) to identify PII. Apply the SCP to the organization root.
  • B. In the Organizations management account, configure AWS Lambda functions to scan for PII in each Region.
  • C. In the Organizations management account, configure an Amazon Macie administrator IAM user as the delegated administrator for the global organization. Use the Macie administrator user to configure Macie settings to scan for PII.
  • D. For each Region in the Organizations management account, designate a delegated Amazon Macie administrator account. In the Macie administrator account, add all accounts in the organization. Use the Macie administrator account to enable Macie. Configure automated sensitive data discovery for all accounts in the organization.
Answer: D
Explanation:
Amazon Macie is a fully managed data security and data privacy service that uses machine learning and pattern matching to discover and protect sensitive data in AWS. To scale across Regions and accounts in AWS Organizations, Macie supports delegated administration, automated sensitive data discovery, and multi- account aggregation through a centralized admin account.
Reference: AWS Documentation - Amazon Macie Multi-Account Configuration

NEW QUESTION # 482
A company runs its two-tier ecommerce website on AWS. The web tier consists of a load balancer that sends traffic to Amazon EC2 instances. The database tier uses an Amazon RDS DB instance. The EC2 instances and the RDS DB instance should not be exposed to the public internet. The EC2 instances require internet access to complete payment processing of orders through a third-party web service. The application must be highly available.
Which combination of configuration options will meet these requirements? (Choose two.)
  • A. Configure a VPC with two private subnets and two NAT gateways across two Availability Zones.
    Deploy an Application Load Balancer in the private subnets.
  • B. Configure a VPC with two public subnets, two private subnets, and two NAT gateways across two Availability Zones. Deploy an Application Load Balancer in the public subnets.
  • C. Use an Auto Scaling group to launch the EC2 instances in public subnets across two Availability Zones.
    Deploy an RDS Multi-AZ DB instance in private subnets.
  • D. Configure a VPC with one public subnet, one private subnet, and two NAT gateways across two Availability Zones. Deploy an Application Load Balancer in the public subnet.
  • E. Use an Auto Scaling group to launch the EC2 instances in private subnets. Deploy an RDS Multi-AZ DB instance in private subnets.
Answer: B,E
Explanation:
Before you begin: Decide which two Availability Zones you will use for your EC2 instances. Configure your virtual private cloud (VPC) with at least one public subnet in each of these Availability Zones. These public subnets are used to configure the load balancer. You can launch your EC2 instances in other subnets of these Availability Zones instead.

NEW QUESTION # 483
A company runs containers in a Kubernetes environment in the company's local data center. The company wants to use Amazon Elastic Kubernetes Service (Amazon EKS) and other AWS managed services Data must remain locally in the company's data center and cannot be stored in any remote site or cloud to maintain compliance Which solution will meet these requirements?
  • A. Install an AWS Snowball Edge Storage Optimized node in the data center
  • B. Use an AWS Snowmobile in the company's data center
  • C. Install an AWS Outposts rack in the company's data center
  • D. Deploy AWS Local Zones in the company's data center
Answer: C
Explanation:
AWS Outposts is a fully managed service that delivers AWS infrastructure and services to virtually any on-premises or edge location for a consistent hybrid experience. AWS Outposts supports Amazon EKS, which is a managed service that makes it easy to run Kubernetes on AWS and on-premises. By installing an AWS Outposts rack in the company's data center, the company can run containers in a Kubernetes environment using Amazon EKS and other AWS managed services, while keeping the data locally in the company's data center and meeting the compliance requirements. AWS Outposts also provides a seamless connection to the local AWS Region for access to a broad range of AWS services.
Option A is not a valid solution because AWS Local Zones are not deployed in the company's data center, but in large metropolitan areas closer to end users. AWS Local Zones are owned, managed, and operated by AWS, and they provide low-latency access to the public internet and the local AWS Region. Option B is not a valid solution because AWS Snowmobile is a service that transports exabytes of data to AWS using a 45-foot long ruggedized shipping container pulled by a semi-trailer truck. AWS Snowmobile is not designed for running containers or AWS managed services on-premises, but for large-scale data migration. Option D is not a valid solution because AWS Snowball Edge Storage Optimized is a device that provides 80 TB of HDD or 210 TB of NVMe storage capacity for data transfer and edge computing. AWS Snowball Edge Storage Optimized does not support Amazon EKS or other AWS managed services, and it is not suitable for running containers in a Kubernetes environment.
References:
* AWS Outposts - Amazon Web Services
* Amazon EKS on AWS Outposts - Amazon EKS
* AWS Local Zones - Amazon Web Services
* AWS Snowmobile - Amazon Web Services
* [AWS Snowball Edge Storage Optimized - Amazon Web Services]

NEW QUESTION # 484
A company collects data from a large number of participants who use wearabledevices.The company stores the data in an Amazon DynamoDB table and uses applications to analyze the data. The data workload is constant and predictable. The company wants to stay at or below its forecasted budget for DynamoDB.
Whihc solution will meet these requirements MOST cost-effectively?
  • A. Use on-demand mode. Specify the read capacity units (RCUs) and write capacity units (WCUs) with reserved capacity.
  • B. Use on-demand mode. Set the read capacity unite (RCUs) and write capacity units (WCUs) high enough to accommodate changes in the workload.
  • C. Use provisioned mode Specify the read capacity units (RCUs) and write capacity units (WCUs).
  • D. Use provisioned mode and DynamoDB Standard-Infrequent Access (DynamoDB Standard-IA). Reserve capacity for the forecasted workload.
Answer: C
Explanation:
This option is the most efficient because it uses provisioned mode, which is a read/write capacity mode for processing reads and writes on your tables that lets you specify how much read and write throughput you expect your application to perform1. It also specifies the read capacity units (RCUs) and write capacity units (WCUs), which are the amount of data your application needs to read or write per second. It also meets the requirement of staying at or below its forecasted budget for DynamoDB, as provisioned mode has lower costs than on-demand mode for predictable workloads. This solution meets the requirement of collecting data from a large number of participants who use wearable devices with a constant and predictable data workload. Option A is less efficient because it uses provisioned mode and DynamoDB Standard-Infrequent Access (DynamoDB Standard-IA), which is a storage class for infrequently accessed items that require milliseconds latency2.
However, this does not meet the requirement of collecting data from a large number of participants who use wearable devices with a constant and predictable data workload, as DynamoDB Standard-IA is more suitable for items that are accessed less frequently than once every 30 days. Option C is less efficient because it uses on-demand mode, which is a read/write capacity mode that lets you pay only for what you use by automatically adjusting your table's capacity in response to changing demand3. However, this does not meet the requirement of staying at or below its forecasted budget for DynamoDB, as on-demand mode has higher costs than provisioned mode for predictable workloads. Option D is less efficient because it uses on-demand mode and specifies the RCUs and WCUs with reserved capacity, which is a way to reserve read and write capacity for your tables in exchange for discounted hourly rates. However, this does not meet the requirement of staying at or below its forecasted budget for DynamoDB, as on-demand mode has higher costs than provisioned mode for predictable workloads. Also, specifying RCUs and WCUs with reserved capacity is not possible with on-demand mode, as it only applies to provisioned mode.

NEW QUESTION # 485
......
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