TRAINING SAA-C03 KIT - ACCURATE SAA-C03 TEST

Training SAA-C03 Kit - Accurate SAA-C03 Test

Training SAA-C03 Kit - Accurate SAA-C03 Test

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Amazon SAA-C03 exam is a valuable certification for IT professionals who want to become certified in AWS solutions architecture. It covers a wide range of topics and is designed to test your knowledge of AWS services, best practices, and solutions architecture patterns. AWS Certified Solutions Architect - Associate certification can help you advance your career and increase your earning potential, and is recognized globally as a valuable credential.

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.

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The Amazon SAA-C03 certification exam offers a great opportunity to advance your career. With the AWS Certified Solutions Architect - Associate certification exam beginners and experienced professionals can demonstrate their expertise and knowledge. After passing the AWS Certified Solutions Architect - Associate (SAA-C03) exam you can stand out in a crowded job market. The AWS Certified Solutions Architect - Associate (SAA-C03) certification exam shows that you have taken the time and effort to learn the necessary skills and have met the standards in the market.

The SAA-C03 exam covers a wide range of topics, including AWS core services such as Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), and Amazon Relational Database Service (RDS). It also covers advanced topics like AWS Identity and Access Management (IAM), AWS Elastic Beanstalk, and AWS Lambda. SAA-C03 Exam is designed to test your knowledge of AWS services, best practices, and solutions architecture patterns.

Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q626-Q631):

NEW QUESTION # 626
A company wants to migrate its on-premises data center to AWS. According to the company's compliance requirements, the company can use only the ap-northeast-3 Region. Company administrators are not permitted to connect VPCs to the internet.
Which solutions will meet these requirements? (Choose two.)

  • A. Use AWS Organizations to configure service control policies (SCPS) that prevent VPCs from gaining internet access. Deny access to all AWS Regions except ap-northeast-3.
  • B. Use rules in AWS WAF to prevent internet access. Deny access to all AWS Regions except ap-northeast-3 in the AWS account settings.
  • C. Create an outbound rule for the network ACL in each VPC to deny all traffic from 0.0.0.0/0. Create an IAM policy for each user to prevent the use of any AWS Region other than ap-northeast-3.
  • D. Use AWS Config to activate managed rules to detect and alert for internet gateways and to detect and alert for new resources deployed outside of ap-northeast-3.
  • E. Use AWS Control Tower to implement data residency guardrails to deny internet access and deny access to all AWS Regions except ap-northeast-3.

Answer: A,E

Explanation:
https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_scps_examples_vpc.html#ex


NEW QUESTION # 627
[Design Secure Architectures]
A company built an application with Docker containers and needs to run the application in the AWS Cloud The company wants to use a managed sen/ice to host the application The solution must scale in and out appropriately according to demand on the individual container services The solution also must not result in additional operational overhead or infrastructure to manage Which solutions will meet these requirements? (Select TWO)

  • A. Provision an Amazon API Gateway API Connect the API to AWS Lambda to run the containers.
  • B. Use Amazon Elastic Container Service (Amazon ECS) with Amazon EC2 worker nodes.
  • C. Use Amazon Elastic Kubernetes Service (Amazon EKS) with AWS Fargate.
  • D. Use Amazon Elastic Container Service (Amazon ECS) with AWS Fargate.
  • E. Use Amazon Elastic Kubernetes Service (Amazon EKS) with Amazon EC2 worker nodes.

Answer: C,D

Explanation:
These options are the best solutions because they allow the company to run the application with Docker containers in the AWS Cloud using a managed service that scales automatically and does not require any infrastructure to manage. By using AWS Fargate, the company can launch and run containers without having to provision, configure, or scale clusters of EC2 instances. Fargate allocates the right amount of compute resources for each container and scales them up or down as needed. By using Amazon ECS or Amazon EKS, the company can choose the container orchestration platform that suits its needs. Amazon ECS is a fully managed service that integrates with other AWS services and simplifies the deployment and management of containers. Amazon EKS is a managed service that runs Kubernetes on AWS and provides compatibility with existing Kubernetes tools and plugins.
C . Provision an Amazon API Gateway API Connect the API to AWS Lambda to run the containers. This option is not feasible because AWS Lambda does not support running Docker containers directly. Lambda functions are executed in a sandboxed environment that is isolated from other functions and resources. To run Docker containers on Lambda, the company would need to use a custom runtime or a wrapper library that emulates the Docker API, which can introduce additional complexity and overhead.
D . Use Amazon Elastic Container Service (Amazon ECS) with Amazon EC2 worker nodes. This option is not optimal because it requires the company to manage the EC2 instances that host the containers. The company would need to provision, configure, scale, patch, and monitor the EC2 instances, which can increase the operational overhead and infrastructure costs.
E . Use Amazon Elastic Kubernetes Service (Amazon EKS) with Amazon EC2 worker nodes. This option is not ideal because it requires the company to manage the EC2 instances that host the containers. The company would need to provision, configure, scale, patch, and monitor the EC2 instances, which can increase the operational overhead and infrastructure costs.
Reference:
1 AWS Fargate - Amazon Web Services
2 Amazon Elastic Container Service - Amazon Web Services
3 Amazon Elastic Kubernetes Service - Amazon Web Services
4 AWS Lambda FAQs - Amazon Web Services


NEW QUESTION # 628
A company wants to measure the effectiveness of its recent marketing campaigns. The company performs batch processing on csv files of sales data and stores the results «i an Amazon S3 bucket once every hour. The S3 bi petabytes of objects. The company runs one-time queries in Amazon Athena to determine which products are most popular on a particular date for a particular region Queries sometimes fail or take longer than expected to finish.
Which actions should a solutions architect take to improve the query performance and reliability? (Select TWO.)

  • A. Use Amazon Kinosis Data Analytics to run the Queries as pan of the batch processing operation
  • B. Store the files as large, single objects in Amazon S3.
  • C. Use an AWS duo extract, transform, and load (ETL) process to convert the csv files into Apache Parquet format.
  • D. Partition the data by date and region n Amazon S3
  • E. Reduce the S3 object sizes to less than 126 MB

Answer: C,D

Explanation:
https://aws.amazon.com/blogs/big-data/top-10-performance-tuning-tips-for-amazon-athena/ This solution meets the requirements of measuring the effectiveness of marketing campaigns by performing batch processing on csv files of sales data and storing the results in an Amazon S3 bucket once every hour. An AWS duo ETL process can use services such as AWS Glue or AWS Data Pipeline to extract data from S3, transform it into a more efficient format such as Apache Parquet, and load it back into S3. Apache Parquet is a columnar storage format that can improve the query performance and reliability of Athena by reducing the amount of data scanned, improving compression ratio, and enabling predicate pushdown.


NEW QUESTION # 629
An ecommerce company wants to launch a one-deal-a-day website on AWS. Each day will feature exactly one product on sale for a period of 24 hours. The company wants to be able to handle millions of requests each hour with millisecond latency during peak hours.
Which solution will meet these requirements with the LEAST operational overhead?

  • A. Deploy the full website on Amazon EC2 instances that run in Auto Scaling groups across multiple Availability Zones Add an Application Load Balancer (ALB) to distribute the website traffic Add another ALB for the backend APIs Store the data in Amazon RDS for MySQL
  • B. Use Amazon S3 to host the full website in different S3 buckets Add Amazon CloudFront distributions Set the S3 buckets as origins for the distributions Store the order data in Amazon S3
  • C. Use an Amazon S3 bucket to host the website's static content Deploy an Amazon CloudFront distribution. Set the S3 bucket as the origin Use Amazon API Gateway and AWS Lambda functions for the backend APIs Store the data in Amazon DynamoDB
  • D. Migrate the full application to run in containers Host the containers on Amazon Elastic Kubernetes Service (Amazon EKS) Use the Kubernetes Cluster Autoscaler to increase and decrease the number of pods to process bursts in traffic Store the data in Amazon RDS for MySQL

Answer: C


NEW QUESTION # 630
[Design Resilient Architectures]
A company selves a dynamic website from a flee! of Amazon EC2 instances behind an Application Load Balancer (ALB) The website needs to support multiple languages to serve customers around the world The website's architecture is running in the us-west-1 Region and is exhibiting high request latency tor users that are located in other parts of the world The website needs to serve requests quickly and efficiently regardless of a user's location However the company does not want to recreate the existing architecture across multiple Regions What should a solutions architect do to meet these requirements?

  • A. Launch an EC2 instance in each additional Region and configure NGINX to act as a cache server for that Region Put all the EC2 instances and the ALB behind an Amazon Route 53 record set with a geolocation routing policy
  • B. Configure an Amazon CloudFront distribution with the ALB as the origin Set the cache behavior settings to cache based on the Accept-Language request header
  • C. Replace the existing architecture with a website that is served from an Amazon S3 bucket Configure an Amazon CloudFront distribution with the S3 bucket as the origin Set the cache behavior settings to cache based on the Accept-Language request header
  • D. Create an Amazon API Gateway API that is integrated with the ALB Configure the API to use the HTTP integration type Set up an API Gateway stage to enable the API cache based on the Accept-Language request header

Answer: B

Explanation:
https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/header-caching.html Configuring caching based on the language of the viewer: If you want CloudFront to cache different versions of your objects based on the language specified in the request, configure CloudFront to forward the Accept-Language header to your origin.


NEW QUESTION # 631
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