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Holding the Amazon SAA-C03 Certification demonstrates that an individual has the skills and knowledge required to design and deploy highly available and fault-tolerant systems on AWS. It is a valuable certification for professionals looking to advance their career in the cloud computing industry and is highly regarded by employers.
Amazon SAA-C03 Certification Exam is a highly sought-after certification for IT professionals seeking to demonstrate their expertise in designing and deploying scalable, highly available, and fault-tolerant systems on Amazon Web Services (AWS) cloud platform. AWS Certified Solutions Architect - Associate certification exam is designed to validate the candidate's ability to architect and deploy secure and robust applications on the AWS platform, using best practices and industry-standard techniques.
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Amazon SAA-C03 certification exam is a comprehensive exam that covers a wide range of topics related to AWS, including EC2, S3, RDS, VPC, IAM, and many other services. SAA-C03 exam consists of 65 multiple-choice and multiple-response questions and has a duration of 130 minutes. SAA-C03 Exam is available in English, Japanese, Korean, and Simplified Chinese.
NEW QUESTION # 890
A company is building a new furniture inventory application. The company has deployed the application on a fleet of Amazon EC2 instances across multiple Availability Zones. The EC2 instances run behind an Application Load Balancer (ALB) in their VPC.
A solutions architect has observed that incoming traffic seems to favor one EC2 instance, resulting in latency for some requests.
What should the solutions architect do to resolve this issue?
Answer: C
Explanation:
The issue described in the question, where incoming traffic seems to favor one EC2 instance, is often caused by session affinity (also known as sticky sessions) being enabled on the Application Load Balancer (ALB).
When session affinity is enabled, the ALB routes requests from the same client to the same EC2 instance.
This can cause an imbalance in traffic distribution, leading to performance bottlenecks on certain instances while others remain underutilized.
To resolve this issue, disabling session affinity ensures that the ALB distributes incoming traffic evenly across all EC2 instances, allowing better load distribution and reducing latency. The ALB will rely on its round- robin or least outstanding requests algorithm (depending on the configuration) to distribute traffic more evenly across instances.
* Option B (Network Load Balancer): The NLB is designed for Layer 4 (TCP) traffic and low latency use cases, but it is not needed here as the problem is with load balancing logic at the application layer (Layer 7). The ALB is more appropriate for HTTP/HTTPS traffic.
* Option C (Increase EC2 Instances): Adding more EC2 instances does not solve the root issue of uneven traffic distribution.
* Option D (Health Check Frequency): Adjusting health check frequency won't address the imbalance caused by session affinity.
AWS References:
* Application Load Balancer Sticky Sessions
NEW QUESTION # 891
A company runs a global web application on Amazon EC2 instances behind an Application Load Balancer The application stores data in Amazon Auror a. The company needs to create a disaster recovery solution and can tolerate up to 30 minutes of downtime and potential data loss. The solution does not need to handle the load when the primary infrastructure is healthy What should a solutions architect do to meet these requirements?
Answer: A
Explanation:
https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/dns-failover-types.html
NEW QUESTION # 892
A company wants to analyze and troubleshoot Access Denied errors and Unauthonzed errors that are related to 1AM permissions The company has AWS CloudTrail turned on Which solution will meet these requirements with the LEAST effort?
Answer: C
Explanation:
This solution meets the following requirements:
* It is the least effort, as it does not require any additional AWS services, custom scripts, or data processing steps. Amazon Athena is a serverless interactive query service that allows you to analyze data in Amazon S3 using standard SQL. You can use Athena to query CloudTrail logs directly from the S3 bucket where they are stored, without any data loading or transformation. You can also use the AWS Management Console, the AWS CLI, or the Athena API to run and manage your queries.
* It is effective, as it allows you to filter, aggregate, and join CloudTrail log data using SQL syntax. You can use various SQL functions and operators to specify the criteria for identifying Access Denied and Unauthorized errors, such as the error code, the user identity, the event source, the event name, the event time, and the resource ARN. You can also use subqueries, views, and common table expressions to simplify and optimize your queries.
* It is flexible, as it allows you to customize and save your queries for future use. You can also export the query results to other formats, such as CSV or JSON, or integrate them with other AWS services, such as Amazon QuickSight, for further analysis and visualization.
References:
* Querying AWS CloudTrail Logs - Amazon Athena
* Analyzing Data in S3 using Amazon Athena | AWS Big Data Blog
* Troubleshoot IAM permisson access denied or unauthorized errors | AWS re:Post
NEW QUESTION # 893
A company sets up an organization in AWS Organizations that contains 10AWS accounts. A solutions architect must design a solution to provide access to the accounts for several thousand employees. The company has an existing identity provider (IdP). The company wants to use the existing IdP for authentication to AWS.
Which solution will meet these requirements?
Answer: D
Explanation:
AWS IAM Identity Center:
IAM Identity Centerprovides centralized access management for multiple AWS accounts within an organization and integrates seamlessly with existing identity providers (IdPs) throughSAML 2.0 federation.
It allows users to authenticate using their existing IdP credentials and gain access to AWS resources without the need to create and manage separate IAM users in each account.
IAM Identity Centeralso simplifies provisioning and de-provisioning users, as it can automatically synchronize users and groups from the external IdP to AWS, ensuring secure and managed access.
Integration with Existing IdP:
The solution involves configuringIAM Identity Centerto connect to the company's IdP using SAML. This setup allows employees to log in with their existing credentials, reducing the complexity of managing separate AWS credentials.
Once connected,IAM Identity Centerhandles authentication and authorization, granting users access to the AWS accounts based on their assigned roles and permissions.
Why the Other Options Are Incorrect:
Option A: Creating separateIAM usersfor each employee is not scalable or efficient. Managing thousands of IAM users across multiple AWS accounts introduces unnecessary complexity and operational overhead.
Option B: Using AWSroot userswith synchronized passwords is a security risk and goes against AWS best practices. Root accounts should never be used for day-to-day operations.
Option D:AWS Resource Access Manager (RAM)is used for sharing AWS resources between accounts, not for federating access for users across accounts. It doesn't provide a solution for authentication via an external IdP.
AWS References:
AWS IAM Identity Center
SAML 2.0 Integration with AWS IAM Identity Center
By setting upIAM Identity Centerand connecting it to the existing IdP, the company can efficiently manage access for thousands of employees across multiple AWS accounts with a high degree of operational efficiency and security. Therefore,Option Cis the best solution.
NEW QUESTION # 894
A media company is using video conversion tools that run on Amazon EC2 instances. The video conversion tools run on a combination of Windows EC2 instances and Linux EC2 instances. Each video file is tens of gigabytes in size. The video conversion tools must process the video files in the shortest possible amount of time. The company needs a single, centralized file storage solution that can be mounted on all the EC2 instances that host the video conversion tools.
Which solution will meet these requirements?
Answer: B
Explanation:
Amazon EFS with Max I/O performance mode is designed for workloads that require high levels of parallelism, such as video processing across multiple EC2 instances. EFS provides shared file storage that can be mounted on both Windows and Linux EC2 instances, and the Max I/O mode ensures the best performance for handling large files and concurrent access across multiple instances.
* Option A and B (FSx for Windows File Server): FSx for Windows File Server is optimized for Windows workloads and would not be ideal for Linux instances or high-throughput, parallel workloads.
* Option D (EFS General Purpose mode): General Purpose mode offers lower latency but doesn't support the high throughput needed for large, concurrent workloads.
AWS References:
* Amazon EFS Performance Modes
NEW QUESTION # 895
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