DOWNLOAD SAP-C02 FREE DUMPS | CERTIFICATION SAP-C02 TEST ANSWERS

Download SAP-C02 Free Dumps | Certification SAP-C02 Test Answers

Download SAP-C02 Free Dumps | Certification SAP-C02 Test Answers

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The AWS Certified Solutions Architect - Professional (SAP-C02) certification exam is an advanced-level exam designed for experienced AWS Solutions Architects working towards architecting complex AWS applications. AWS Certified Solutions Architect - Professional (SAP-C02) certification exam validates the candidate's ability to design and deploy scalable, highly available, and fault-tolerant systems on AWS. SAP-C02 exam covers a broad range of topics, including advanced networking, security, cost optimization, and application design.

Amazon SAP-C02 (AWS Certified Solutions Architect - Professional (SAP-C02)) Exam is a highly respected certification that demonstrates an individual's expertise in designing and deploying scalable, highly available, and fault-tolerant systems on the AWS platform. SAP-C02 Exam covers a wide range of topics related to AWS architecture and requires extensive preparation and study. However, achieving this certification can open up a wide range of career opportunities and help professionals stand out in a highly competitive job market.

Passing the SAP-C02 exam can be a valuable asset for professionals looking to advance their career in the field of AWS solutions architecture. It demonstrates to employers and clients that the individual has the knowledge and skills required to design and deploy complex AWS solutions using best practices and architectural principles. Additionally, it can increase the individual's earning potential and open up new career opportunities.

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There are various individuals who have never shown up for the AWS Certified Solutions Architect - Professional (SAP-C02) certification test as of now. They know close to nothing about the AWS Certified Solutions Architect - Professional (SAP-C02) exam model and how to attempt the requests. Amazon SAP-C02 Dumps give an unequivocal thought of the last preliminary of the year model and how a promising rookie ought to attempt the solicitation paper to score well.

Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q264-Q269):

NEW QUESTION # 264
A company has a Windows-based desktop application that is packaged and deployed to the users' Windows machines. The company recently acquired another company that has employees who primarily use machines with a Linux operating system. The acquiring company has decided to migrate and rehost the Windows-based desktop application lo AWS.
All employees must be authenticated before they use the application. The acquiring company uses Active Directory on premises but wants a simplified way to manage access to the application on AWS (or all the employees.
Which solution will rehost the application on AWS with the LEAST development effort?

  • A. Refactor and containerize the application to run as a web-based application. Run the application in Amazon Elastic Container Service (Amazon ECS) on AWS Fargate with step scaling policies Implement authentication by using Amazon Cognito user pools. Instruct the employees to run the application from their browsers.
  • B. Set up and provision an Amazon Workspaces virtual desktop for every employee. Implement authentication by using Amazon Cognito identity pools. Instruct employees to run the application from their provisioned Workspaces virtual desktops.
  • C. Create an Auto Scarlet group of Windows-based Ama7on EC2 instances. Join each EC2 instance to the company's Active Directory domain. Implement authentication by using the Active Directory That is running on premises. Instruct employees to run the application by using a Windows remote desktop.
  • D. Use an Amazon AppStream 2.0 image builder to create an image that includes the application and the required configurations. Provision an AppStream 2.0 On-Demand fleet with dynamic Fleet Auto Scaling process for running the image. Implement authentication by using AppStream 2.0 user pools. Instruct the employees to access the application by starling browse'-based AppStream 2.0 streaming sessions.

Answer: D

Explanation:
Amazon AppStream 2.0 offers a streamlined solution for rehosting a Windows-based desktop application on AWS with minimal development effort. By creating an AppStream 2.0 image that includes the application and using an On-Demand fleet for streaming, the application becomes accessible from any device, including Linux machines. AppStream 2.0 user pools can be used for authentication, simplifying access management without the need for extensive changes to the application or infrastructure.


NEW QUESTION # 265
A company runs a popular web application in an on-premises data center. The application receives four million views weekly. The company expects traffic to increase by 200% because of an advertisement that will be published soon.
The company needs to decrease the load on the origin before the increase of traffic occurs. The company does not have enough time to move the entire application to the AWS Cloud.
Which solution will meet these requirements?

  • A. Create an accelerator in AWS Global Accelerator. Add listeners for HTTP and HTTPS TCP ports.
    Create an endpoint group. Create an Application Load Balancer (ALB), and attach it to the endpoint group. Point the ALB to the on-premises servers. Offload the DNS querying to AWS to handle AWS Global Accelerator traffic.
  • B. Create an accelerator in AWS Global Accelerator. Add listeners for HTTP and HTTPS TCP ports.
    Create an endpoint group. Create a Network Load Balancer (NLB), and attach it to the endpoint group.
    Point the NLB to the on-premises servers. Offload the DNS querying to AWS to handle AWS Global Accelerator traffic.
  • C. Create an Amazon CloudFront content delivery network (CDN). Enable query forwarding to the origin.
    Create a managed cache policy that includes query strings. Use an on-premises load balancer as the origin. Offload the DNS querying to AWS to handle CloudFront CDN traffic.
  • D. Create an Amazon CloudFront content delivery network (CDN) that uses a Real Time Messaging Protocol (RTMP) distribution. Enable query forwarding to the origin. Use an on-premises load balancer as the origin. Offload the DNS querying to AWS to handle CloudFront CDN traffic.

Answer: A


NEW QUESTION # 266
A company ingests and processes streaming market data. The data rate is constant. A nightly process that calculates aggregate statistics is run, and each execution takes about 4 hours to complete. The statistical analysis is not mission critical to the business, and previous data points are picked up on the next execution if a particular run fails.
The current architecture uses a pool of Amazon EC2 Reserved Instances with 1-year reservations running full time to ingest and store the streaming data in attached Amazon EBS volumes. On-Demand EC2 instances are launched each night to perform the nightly processing, accessing the stored data from NFS shares on the ingestion servers, and terminating the nightly processing servers when complete. The Reserved Instance reservations are expiring, and the company needs to determine whether to purchase new reservations or implement a new design.
Which is the most cost-effective design?

  • A. Update the ingestion process to use a fleet of EC2 Reserved Instances with 3-year reservations behind a Network Load Balancer. Use AWS Batch with Spot Instances to perform nightly processing with a maximum Spot price that is 50% of the On-Demand price.
  • B. Update the ingestion process to use Amazon Kinesis Data Firehose to save data to Amazon S3. Use a scheduled script to launch a fleet of EC2 On-Demand Instances each night to perform the batch processing of the S3 data. Configure the script to terminate the instances when the processing is complete.
  • C. Update the ingestion process to use Amazon Kinesis Data Firehose to save data to Amazon S3. Use AWS Batch with Spot Instances to perform nightly processing with a maximum Spot price that is 50% of the On-Demand price.
  • D. Update the ingestion process to use Amazon Kinesis Data Firehose to save data to Amazon Redshift.
    Use Amazon EventBridge to schedule an AWS Lambda function to run nightly to query Amazon Redshift to generate the daily statistics.

Answer: C

Explanation:
Updating the ingestion process to use Amazon Kinesis Data Firehose to save data to Amazon S3 will reduce the need for EC2 instances and EBS volumes for data storage1. Using AWS Batch with Spot Instances to perform nightly processing will leverage the cost savings of Spot Instances, which are up to 90% cheaper than On-Demand Instances2. AWS Batch will also handle the scheduling and scaling of the processing jobs. Setting the maximum Spot price to 50% of the On-Demand price will reduce the chances of interruption and ensure that the processing is cost-effective.


NEW QUESTION # 267
A company has implemented an ordering system using an event-driven architecture. During initial testing, the system stopped processing orders. Further log analysis revealed that one order message in an Amazon Simple Queue Service (Amazon SQS) standard queue was causing an error on the backend and blocking all subsequent order messages. The visibility timeout of the queue is set to 30 seconds, and the backend processing timeout is set to 10 seconds. A solutions architect needs to analyze faulty order messages and ensure that the system continues to process subsequent messages.
Which step should the solutions architect take to meet these requirements?

  • A. Configure a new SQS FIFO queue as a dead-letter queue to isolate the faulty messages.
  • B. Reduce the visibility timeout of the queue to automatically remove the faulty message.
  • C. Increase the backend processing timeout to 30 seconds to match the visibility timeout.
  • D. Configure a new SQS standard queue as a dead-letter queue to isolate the faulty messages.

Answer: D

Explanation:
The dead-letter queue of a FIFO queue must also be a FIFO queue. Similarly, the dead-letter queue of a standard queue must also be a standard queue.
https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-dead- letter-queues.html


NEW QUESTION # 268
A company has purchased appliances from different vendors. The appliances all have loT sensors. The sensors send status information in the vendors' proprietary formats to a legacy application that parses the information into JSON. The parsing is simple, but each vendor has a unique format. Once daily, the application parses all the JSON records and stores the records in a relational database for analysis.
The company needs to design a new data analysis solution that can deliver faster and optimize costs.
Which solution will meet these requirements?

  • A. Create an AWS Transfer for SFTP server. Update the loT sensor code to send the information as a .csv file through SFTP to the server. Use AWS Glue to catalog the files. Use Amazon Athena for analysis.
  • B. Migrate the application server to AWS Fargate, which will receive the information from loT sensors and parse the information into a relational format. Save the parsed information to Amazon Redshift for analysis.
  • C. Use AWS Snowball Edge to collect data from the loT sensors directly to perform local analysis.Periodically collect the data into Amazon Redshift to perform global analysis.
  • D. Connect the loT sensors to AWS loT Core. Set a rule to invoke an AWS Lambda function to parse the information and save a .csv file to Amazon S3. Use AWS Glue to catalog the files. Use Amazon Athena and Amazon OuickSight for analysis.

Answer: D

Explanation:
* Connect the IoT sensors to AWS IoT Core. Set a rule to invoke an AWS Lambda function to parse the information and save a .csv file to Amazon S3. Use AWS Glue to catalog the files. Use Amazon Athena and Amazon QuickSight for analysis. This solution meets the requirement of faster analysis and cost optimization by using AWS IoT Core to collect data from the IoT sensors in real-time and then using AWS Glue and Amazon Athena for efficient data analysis.
This solution involves connecting the loT sensors to the AWS loT Core, setting a rule to invoke an AWS Lambda function to parse the information, and saving a .csv file to Amazon S3. AWS Glue can be used to catalog the files and Amazon Athena and Amazon QuickSight can be used for analysis. This solution will enable faster and more cost-effective data analysis.
This solution is in line with the official Amazon Textbook and Resources for the AWS Certified Solutions Architect - Professional certification. In particular, the book states that: "AWS IoT Core can be used to ingest and process the data, AWS Lambda can be used to process and transform the data, and Amazon S3 can be used to store the data. AWS Glue can be used to catalog and access the data, Amazon Athena can be used to query the data, and Amazon QuickSight can be used to visualize the data." (Source: https://d1.awsstatic.com
/training-and-certification/docs-sa-pro
/AWS_Certified_Solutions_Architect_Professional_Exam_Guide_EN_v1.5.pdf)


NEW QUESTION # 269
......

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