FREE PDF SAA-C03 - HIGH PASS-RATE AWS CERTIFIED SOLUTIONS ARCHITECT - ASSOCIATE EXAM FORUM

Free PDF SAA-C03 - High Pass-Rate AWS Certified Solutions Architect - Associate Exam Forum

Free PDF SAA-C03 - High Pass-Rate AWS Certified Solutions Architect - Associate Exam Forum

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Amazon SAA-C03 (Amazon AWS Certified Solutions Architect - Associate (SAA-C03)) certification exam is one of the most popular exams in the IT industry. It is designed for IT professionals who want to demonstrate their knowledge and skills in designing and deploying scalable, highly available, and fault-tolerant systems on Amazon Web Services (AWS) infrastructure. AWS Certified Solutions Architect - Associate certification is highly valued by employers and can help you advance your career in the cloud computing industry.

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q11-Q16):

NEW QUESTION # 11
[Design Resilient Architectures]
A company offers a food delivery service that is growing rapidly. Because of the growth, the company's order processing system is experiencing scaling problems during peak traffic hours. The current architecture includes the following:
* A group of Amazon EC2 instances that run in an Amazon EC2 Auto Scaling group to collect orders from the application
* Another group of EC2 instances that run in an Amazon EC2 Auto Scaling group to fulfill orders The order collection process occurs quickly, but the order fulfillment process can take longer. Data must not be lost because of a scaling event.
A solutions architect must ensure that the order collection process and the order fulfillment process can both scale properly during peak traffic hours. The solution must optimize utilization of the company's AWS resources.
Which solution meets these requirements?

  • A. Provision two Amazon Simple Queue Service (Amazon SQS) queues: one for order collection and another for order fulfillment. Configure the EC2 instances to poll their respective queue. Scale the Auto Scaling groups based on notifications that the queues send.
  • B. Provision two Amazon Simple Queue Service (Amazon SQS) queues: one for order collection and another for order fulfillment. Configure the EC2 instances to poll their respective queue. Create a metric based on a backlog per instance calculation. Scale the Auto Scaling groups based on this metric.
  • C. Use Amazon CloudWatch metrics to monitor the CPU of each instance in the Auto Scaling groups. Configure each Auto Scaling group's minimum capacity according to peak workload values.
  • D. Use Amazon CloudWatch metrics to monitor the CPU of each instance in the Auto Scaling groups. Configure a CloudWatch alarm to invoke an Amazon Simple Notification Service (Amazon SNS) topic that creates additional Auto Scaling groups on demand.

Answer: B

Explanation:
The number of instances in your Auto Scaling group can be driven by how long it takes to process a message and the acceptable amount of latency (queue delay). The solution is to use a backlog per instance metric with the target value being the acceptable backlog per instance to maintain.


NEW QUESTION # 12
[Design Secure Architectures]
A company has an application that runs on an Amazon Elastic Kubernetes Service (Amazon EKS) cluster on Amazon EC2 instances. The application has a U1 that uses Amazon DynamoDB and data services that use Amazon S3 as part of the application deployment.
The company must ensure that the EKS Pods for the U1 can access only Amazon DynamoDB and that the EKS Pods for the data services can access only Amazon S3. The company uses AWS Identity and Access Management |IAM).
Which solution meets these requirements?

  • A. Create separate IAM policies (or Amazon S3 and DynamoDB access with the required permissions. Attach the Amazon S3 IAM policy directly to the EKS Pods (or the data services and the DynamoDB policy to the EKS Pods for the U1.
  • B. Create separate Kubernetes service accounts for the U1 and data services to assume an IAM role. Use IAM Role for Service Accounts (IRSA) to provide access to the EKS Pods for the U1 to Amazon S3 and the EKS Pods for the data services to DynamoDB.
  • C. Create separate IAM policies (or Amazon S3 and DynamoDB access with the required permissions. Attach both IAM policies to the EC2 instance profile. Use role-based access control (RBAC) to control access to Amazon S3 or DynamoDB (or the respective EKS Pods.
  • D. Create separate Kubernetes service accounts for the U1 and data services to assume an IAM role. Attach the Amazon S3 Full Access policy to the data services account and the AmazonDynamoDBFullAccess policy to the U1 service account.

Answer: C


NEW QUESTION # 13
A company's applications run on Amazon EC2 instances in Auto Scaling groups. The company notices that its applications experience sudden traffic increases on random days of the week The company wants to maintain application performance during sudden traffic increases.
Which solution will meet these requirements MOST cost-effectively?

  • A. Use schedule scaling to change the size of the Auto Scaling group
  • B. Use predictive scaling to change the size of the Auto Scaling group.
  • C. Use dynamic scaling to change the size of the Auto Scaling group.
  • D. Use manual scaling to change the size of the Auto Scaling group.

Answer: C

Explanation:
Dynamic scaling is a type of autoscaling that automatically adjusts the number of EC2 instances in an Auto Scaling group based on demand or load. It uses CloudWatch alarms to trigger scaling actions when a specified metric crosses a threshold. It can scale out (add instances) or scale in (remove instances) as needed1. By using dynamic scaling, the solution can maintain application performance during sudden traffic increases most cost-effectively.
a) Use manual scaling to change the size of the Auto Scaling group. This solution will not meet the requirement of maintaining application performance during sudden traffic increases, as manual scaling requires users to manually increase or decrease the number of instances through a CLI or console. It does not respond automatically to changes in demand or load2.
b) Use predictive scaling to change the size of the Auto Scaling group. This solution will not meet the requirement of most cost-effectiveness, as predictive scaling uses machine learning and artificial intelligence tools to evaluate traffic loads and anticipate when more or fewer resources are needed. It performs scheduled scaling actions based on the prediction, which may not match the actual demand or load at any given time. Predictive scaling is more suitable for scenarios where there are predictable traffic patterns or known changes in traffic loads3.
d) Use schedule scaling to change the size of the Auto Scaling group. This solution will not meet the requirement of maintaining application performance during sudden traffic increases, as schedule scaling performs scaling actions at specific times that users schedule. It does not respond automatically to changes in demand or load. Schedule scaling is more suitable for scenarios where there are predictable traffic drops or spikes at specific times of the day.
Reference URL: https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-scale-based-on-demand.html


NEW QUESTION # 14
A gaming company is designing a highly available architecture. The application runs on a modified Linux kernel and supports only UDP-based traffic. The company needs the front-end tier to provide the best possible user experience. That tier must have low latency, route traffic to the nearest edge location, and provide static IP addresses for entry into the application endpoints.
What should a solutions architect do to meet these requirements?

  • A. Configure Amazon Route 53 to forward requests to an Application Load Balancer. Use AWS Lambda for the application in AWS Application Auto Scaling.
  • B. Configure Amazon API Gateway to forward requests to an Application Load Balancer. Use Amazon EC2 instances for the application in an EC2 Auto Scaling group.
  • C. Configure AWS Global Accelerator to forward requests to a Network Load Balancer. Use Amazon EC2 instances for the application in an EC2 Auto Scaling group.
  • D. Configure Amazon CloudFront to forward requests to a Network Load Balancer. Use AWS Lambda for the application in an AWS Application Auto Scaling group.

Answer: C

Explanation:
Explanation
AWS Global Accelerator and Amazon CloudFront are separate services that use the AWS global network and its edge locations around the world. CloudFront improves performance for both cacheable content (such as images and videos) and dynamic content (such as API acceleration and dynamic site delivery). Global Accelerator improves performance for a wide range of applications over TCP or UDP by proxying packets at the edge to applications running in one or more AWS Regions. Global Accelerator is a good fit for non-HTTP use cases, such as gaming (UDP), IoT (MQTT), or Voice over IP, as well as for HTTP use cases that specifically require static IP addresses or deterministic, fast regional failover. Both services integrate with AWS Shield for DDoS protection.


NEW QUESTION # 15
A company runs a microservice-based serverless web application. The application must be able to retrieve data from multiple Amazon DynamoDB tables. A solutions architect needs to give the application the ability to retrieve the data with no impact on the baseline performance of the application.
Which solution will meet these requirements in the MOST operationally efficient way?

  • A. Amazon CloudFront with Lambda@Edge functions
  • B. AWSAppSync pipeline resolvers
  • C. Edge-optimized Amazon API Gateway with AWS Lambda functions
  • D. Amazon Athena Federated Query with a DynamoDB connector

Answer: C

Explanation:
An edge-optimized API Gateway is a way to create RESTful APIs that can access multiple DynamoDB tables through AWS Lambda functions. The edge-optimized API Gateway provides low latency and high performance by caching API responses at CloudFront edge locations. The AWS Lambda functions can use the AWS SDK to query or scan the DynamoDB tables and return the data to the API Gateway. This solution meets all the requirements of the question, while the other options do not. Reference:
https://aws.amazon.com/blogs/compute/understanding-database-options-for-your-serverless-web-applications/
https://aws.amazon.com/getting-started/hands-on/build-serverless-web-app-lambda-apigateway-s3-dynamodb-cognito/module-3/
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/best-practices.html


NEW QUESTION # 16
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The AWS Certified Solutions Architect - Associate (SAA-C03) certification exam is one of the hottest and most industrial-recognized credentials that has been inspiring beginners and experienced professionals since its beginning. With the AWS Certified Solutions Architect - Associate (SAA-C03) certification exam successful candidates can gain a range of benefits which include career advancement, higher earning potential, industrial recognition of skills and job security, and more career personal and professional growth.

Certified SAA-C03 Questions: https://www.real4dumps.com/SAA-C03_examcollection.html

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