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Amazon SAA-C03 Certification Exam is designed for individuals who want to become skilled in the design and deployment of scalable, fault-tolerant, and highly available systems on Amazon Web Services (AWS) cloud. AWS Certified Solutions Architect - Associate certification is ideal for solution architects, system administrators, and developers who want to validate their knowledge and expertise in AWS infrastructure, services, and best practices. The SAA-C03 exam is the updated version of the previous SAA-C02 certification exam and is considered one of the most sought-after certifications in the cloud computing industry.

To take the Amazon SAA-C03 exam, candidates must have a basic understanding of AWS services such as EC2, S3, RDS, and VPC. They must also have experience in designing and deploying solutions that use these services in a cost-effective and efficient manner. SAA-C03 exam consists of multiple-choice and multiple-response questions, and it is timed at 130 minutes.

Amazon SAA-C03 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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 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 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.

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q417-Q422):

NEW QUESTION # 417
A company is building a serverless application that processes large volumes of data from a mobile app. The application uses an AWS Lambda function to process the data and store the data in an Amazon DynamoDB table.
The company needs to ensure that the application can recover from failures and continue processing data without losing any records.
Which solution will meet these requirements?

A. Use Amazon Simple Notification Service (Amazon SNS) to store the failed records. Configure Lambda to retry failed records from the SNS topic. Use Amazon API Gateway to orchestrate the retry calls.
B. Use Amazon OpenSearch Service to store failed records. Configure AWS Lambda to retry failed records from OpenSearch Service. Use Amazon EventBridge to orchestrate the retry logic.
C. Configure the Lambda function to read records from Amazon Data Firehose. Replay the Firehose records in case of any failures.
D. Configure the Lambda function to use a dead-letter queue with an Amazon Simple Queue Service (Amazon SQS) queue. Configure Lambda to retry failed records from the dead-letter queue. Use a retry mechanism by implementing an exponential backoff algorithm.

Answer: D

Explanation:
Dead-letter queues (DLQs) with Amazon SQS allow Lambda functions to offload failed events for later inspection or retry. Using retry logic with exponential backoff ensures resilience and compliance with best practices for fault-tolerant serverless architectures. This guarantees no data is lost due to transient errors.
Reference:

NEW QUESTION # 418
A company needs to give a globally distributed development team secure access to the company's AWS resources in a way that complies with security policies.
The company currently uses an on-premises Active Directory for internal authentication. The company uses AWS Organizations to manage multiple AWS accounts that support multiple projects.
The company needs a solution to integrate with the existing infrastructure to provide centralized identity management and access control.
Which solution will meet these requirements with the LEAST operational overhead?

A. Use Amazon Cognito to deploy an identity federation solution. Integrate the identity federation solution with the on-premises Active Directory. Use Amazon Cognito to provide access tokens for developers to access AWS accounts and resources.
B. Set up AWS Directory Service to create an AWS managed Microsoft Active Directory on AWS.
Establish a trust relationship with the on-premises Active Directory. Use 1AM roles that are assigned to Active Directory groups to access AWS resources within the company's AWS accounts.
C. Use AD Connector in AWS Directory Service to connect to the on-premises Active Directory. Integrate AD Connector with AWS 1AM Identity Center. Configure permissions sets to give each AD group access to specific AWS accounts and resources.
D. Create an 1AM user for each developer. Manually manage permissions for each 1AM user based on each user's involvement with each project. Enforce multi-factor authentication (MFA) as an additional layer of security.

Answer: C

Explanation:
Using AD Connector with AWS IAM Identity Center (formerly AWS Single Sign-On) allows the company to leverage its existing on-premises Active Directory for centralized identity management and access control. AD Connector acts as a proxy to the on-premises AD without requiring additional infrastructure or complex setup. This solution integrates seamlessly with AWS, allowing the development team to use their existing AD credentials to access AWS resources across multiple accounts managed by AWS Organizations.
The permissions for AWS resources can be managed centrally through IAM Identity Center by configuring permission sets.
This solution provides:
* Least operational overhead: AD Connector is fully managed, and IAM Identity Center allows centralized management of permissions across accounts.
* Secure access: The solution complies with security policies by using existing AD authentication mechanisms.
* Option A (AWS Managed AD): Setting up a fully managed AWS AD and establishing a trust is more complex and involves additional operational overhead.
* Option B (IAM Users): Manually managing IAM users and permissions is less scalable and increases operational complexity.
* Option D (Cognito): Amazon Cognito is more suited for user-facing applications rather than internal identity management for AWS resources.
AWS References:
* AD Connector with IAM Identity Center
* AWS IAM Identity Center

NEW QUESTION # 419
A company runs an ecommerce application on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones. The Auto Scaling group scales based on CPU utilization metrics. The ecommerce application stores the transaction data in a MySQL 8.0 database that is hosted on a large EC2 instance.
The database's performance degrades quickly as application load increases. The application handles more read requests than write transactions. The company wants a solution that will automatically scale the database to meet the demand of unpredictable read workloads while maintaining high availability.
Which solution will meet these requirements?

A. Use Amazon Aurora with a Multi-AZ deployment. Configure Aurora Auto Scaling with Aurora Replicas.
B. Use Amazon Redshift with a single node for leader and compute functionality.
C. Use Amazon RDS with a Single-AZ deployment Configure Amazon RDS to add reader instances in a different Availability Zone.
D. Use Amazon ElastiCache for Memcached with EC2 Spot Instances.

Answer: A

NEW QUESTION # 420
A company needs to configure a real-time data ingestion architecture for its application. The company needs an API, a process that transforms data as the data is streamed, and a storage solution for the data.
Which solution will meet these requirements with the LEAST operational overhead?

A. Deploy an Amazon EC2 instance to host an API that sends data to AWS Glue. Stop source/destination checking on the EC2 instance. Use AWS Glue to transform the data and to send the data to Amazon S3.
B. Configure an Amazon API Gateway API to send data to an Amazon Kinesis data stream. Create an Amazon Kinesis Data Firehose delivery stream that uses the Kinesis data stream as a data source. Use AWS Lambda functions to transform the data. Use the Kinesis Data Firehose delivery stream to send the data to Amazon S3.
C. Deploy an Amazon EC2 instance to host an API that sends data to an Amazon Kinesis data stream.
Create an Amazon Kinesis Data Firehose delivery stream that uses the Kinesis data stream as a data source. Use AWS Lambda functions to transform the data. Use the Kinesis Data Firehose delivery stream to send the data to Amazon S3.
D. Configure an Amazon API Gateway API to send data to AWS Glue. Use AWS Lambda functions to transform the data. Use AWS Glue to send the data to Amazon S3.

Answer: B

NEW QUESTION # 421
[Design High-Performing Architectures]
A company is running a batch application on Amazon EC2 instances. The application consists of a backend with multiple Amazon RDS databases. The application is causing a high number of leads on the databases. A solutions architect must reduce the number of database reads while ensuring high availability.
What should the solutions architect do to meet this requirement?

A. Use Amazon Route 53 DNS caching
B. Use AmazonElastCache for Redis
C. Add Amazon RDS read replicas
D. Use Amazon ElastiCache for Memcached

Answer: C

Explanation:
This solution meets the requirement of reducing the number of database reads while ensuring high availability for a batch application that consists of a backend with multiple Amazon RDS databases. Amazon RDS read replicas are copies of the primary database instance that can serve read-only traffic. You can create one or more read replicas for a primary database instance and connect to them using a special endpoint. Read replicas can improve the performance and availability of your application by offloading read queries from the primary database instance.
Option B is incorrect because using Amazon ElastiCache for Redis can provide a fast, in-memory data store that can cache frequently accessed data, but it does not support replication from Amazon RDS databases. Option C is incorrect because using Amazon Route 53 DNS caching can improve the performance and availability of DNS queries, but it does not reduce the number of database reads. Option D is incorrect because using Amazon ElastiCache forMemcached can provide a fast, in-memory data store that can cache frequently accessed data, but it does not support replication from Amazon RDS databases.
Reference:
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_ReadRepl.html

NEW QUESTION # 422
......

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SAA-C03 Test Engine Version | SAA-C03 Reliable Dumps Pdf

Amazon SAA-C03 Exam Syllabus Topics:

SAA-C03 Reliable Dumps Pdf | VCE SAA-C03 Exam Simulator

Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q417-Q422):

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