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Amazon SAA-C03 Certification Exam is a highly sought-after certification that validates the skills and knowledge of professionals who work with Amazon Web Services (AWS). It is designed for individuals who have experience in designing and deploying scalable, highly available, and fault-tolerant systems on AWS. AWS Certified Solutions Architect - Associate certification exam tests the candidate's ability to architect and deploy secure and robust applications on AWS, and it covers a wide range of topics, including AWS core services, security, database technologies, and networking.
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Amazon SAA-C03 (Amazon AWS Certified Solutions Architect - Associate) exam is designed to validate the skills and knowledge of individuals in designing and deploying scalable, highly available, and fault-tolerant systems on the Amazon Web Services (AWS) platform. AWS Certified Solutions Architect - Associate certification is intended for IT professionals who have a minimum of one year of experience in designing and deploying AWS-based applications, as well as those who are interested in pursuing a career in cloud computing.
The SAA-C03 Certification Exam comprises of 65 multiple-choice and multiple-response questions, and the candidate is given 130 minutes to complete the exam. SAA-C03 exam is available in multiple languages, including English, Japanese, Korean, and Simplified Chinese. The passing score for the exam is 720 out of 1000, and the certification is valid for three years.
NEW QUESTION # 857
[Design Resilient Architectures]
A company runs an application on Amazon EC2 instances. The company needs to implement a disaster recovery (DR) solution for the application. The DR solution needs to have a recovery time objective (RTO) of less than 4 hours. The DR solution also needs to use the fewest possible AWS resources during normal operations.
Which solution will meet these requirements in the MOST operationally efficient way?
Answer: B
Explanation:
it allows the company to implement a disaster recovery (DR) solution for the application that has a recovery time objective (RTO) of less than 4 hours and uses the fewest possible AWS resources during normal operations. By creating Amazon Machine Images (AMIs) to back up the EC2 instances and copying the AMIs to a secondary AWS Region, the company can create point-in-time snapshots of the application and store them in a different geographical location. By automating infrastructure deployment in the secondary Region by using AWS CloudFormation, the company can quickly launch a stack of resources from a template in case of a disaster. This is a cost-effective and operationally efficient way to implement a DR solution for EC2 instances. Reference:
Amazon Machine Images (AMI)
Copying an AMI
AWS CloudFormation
Working with Stacks
NEW QUESTION # 858
[Design High-Performing Architectures]
A company has a web application for travel ticketing. The application is based on a database that runs in a single data center in North Americ a. The company wants to expand the application to serve a global user base. The company needs to deploy the application to multiple AWS Regions. Average latency must be less than 1 second on updates to the reservation database.
The company wants to have separate deployments of its web platform across multiple Regions. However the company must maintain a single primary reservation database that is globally consistent.
Which solution should a solutions architect recommend to meet these requirements?
Answer: A
Explanation:
https://aws.amazon.com/rds/aurora/global-database/
https://aws.amazon.com/blogs/architecture/using-amazon-aurora-global-database-for-low-latency-without-application-changes/
NEW QUESTION # 859
An image-processing company has a web application that users use to upload images. The application uploads the images into an Amazon S3 bucket. The company has set up S3 event notifications to publish the object creation events to an Amazon SQS standard queue. The SQS queue serves as the event source for an AWS Lambda function that processes the images and sends the results to users through email.
Users report that they are receiving multiple email messages for every uploaded image. A solutions architect determines that SQS messages are invoking the Lambda function more than once, resulting in multiple email messages.
What should the solutions architect do to resolve this issue with the LEAST operational overhead?
Answer: A
Explanation:
The issue is most likely that messages become visible in the queue again before Lambda finishes processing them. AWS documents that when Lambda polls SQS, messages remain hidden only for the queue's visibility timeout, and if they are not deleted before that timeout expires, they can be retrieved again and reprocessed. AWS specifically recommends setting the SQS visibility timeout to at least six times the Lambda function timeout, and if a batch window is used, to add that value as well. Long polling reduces empty receives but does not prevent duplicate processing. Changing to FIFO is unnecessary here, and deleting messages before successful processing risks data loss.
NEW QUESTION # 860
A company wants to store a large amount of data as objects for analytics and long-term archiving.
Resources from outside AWS need to access the data. The external resources need to access the data with unpredictable frequency. However, the external resource must have immediate access when necessary. The company needs a cost-optimized solution that provides high durability and data security. Which solution will meet these requirements?
Answer: A
Explanation:
Amazon S3 Intelligent-Tiering is designed for data with unknown or changing access patterns. It automatically moves data between frequent and infrequent access tiers based on usage. This tier offers immediate access to all objects, regardless of which tier they are stored in, while optimizing storage costs. S3 Intelligent-Tiering also provides the same high durability, availability, and security as other S3 storage classes and supports access from external resources using standard S3 APIs. Lifecycle policies and Glacier classes are more suitable for archival when infrequent access is predictable, but retrieval from Glacier classes is not immediate and incurs extra charges and delays.
NEW QUESTION # 861
A company runs an application on Amazon EC2 instances behind an Application Load Balancer (ALB). The company wants to create a public API for the application that uses JSON Web Tokens (JWT) for authentication. The company wants the API to integrate directly with the ALB.
Which solution will meet these requirements?
Answer: D
Explanation:
Amazon API Gateway supports multiple API types: REST, HTTP, WebSocket, and gRPC. HTTP APIs are a newer, lightweight option that support JWT authorizers natively, enabling secure, scalable authentication for APIs with JSON Web Tokens.
HTTP APIs can integrate with ALBs as a backend target, providing direct connectivity and simplified API management with JWT authentication built in.
REST APIs support JWT but are more feature-rich and complex, often used for legacy or more complex use cases, and have higher costs and latency. WebSocket APIs are for real-time, bidirectional communication, which is not requested here. gRPC APIs support RPC calls but are less common for public HTTP-based APIs with JWT auth.
Therefore, HTTP API with JWT authorizers is the best fit for this use case.
References:
AWS Well-Architected Framework - Security Pillar (https://d1.awsstatic.com/whitepapers/architecture
/AWS_Well-Architected_Framework.pdf)
Amazon API Gateway HTTP APIs (https://docs.aws.amazon.com/apigateway/latest/developerguide/http-api.
html)
Using JWT Authorizers with HTTP APIs (https://docs.aws.amazon.com/apigateway/latest/developerguide
/http-api-jwt-authorizer.html)
NEW QUESTION # 862
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