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The SAP-C02 exam consists of multiple-choice and multiple-response questions that test your knowledge of AWS architecture and best practices. SAP-C02 exam also includes scenario-based questions that simulate real-world situations and require you to apply your knowledge of AWS to solve problems. SAP-C02 Exam is timed and lasts for 180 minutes, and you must score at least 750 out of 1000 to pass.
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The AWS Certified Solutions Architect - Professional (SAP-C02) certification is designed for experienced professionals who want to demonstrate their expertise in designing and deploying scalable, fault-tolerant, and highly available systems on the AWS platform. AWS Certified Solutions Architect - Professional (SAP-C02) certification is a must-have for architects, engineers, and consultants who work with AWS on a daily basis and want to validate their skills and knowledge.
Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q122-Q127):
NEW QUESTION # 122
A company is building an image service on the web that will allow users to upload and search random photos.
At peak usage, up to 10.000 users worldwide will upload their images. The service will then overlay text on the uploaded images, which will then be published on the company website.
Which design should a solutions architect implement?
- A. Store the uploaded images in an Amazon S3 bucket and configure an S3 bucket event notification to send a message to the Amazon Simple Queue Service (Amazon SQS) queue Create a fleet of Amazon EC2 instances to pull messages from the SQS queue to process the images and place them in another S3 bucket. Use Amazon CloudWatch metncs for queue depth to scale out EC2 instances Enable Amazon CloudFront and configure the origin to be the S3 bucket that contains the processed images.
- B. Store the uploaded images in an Amazon S3 bucket and configure an S3 bucket event notification to send a message to Amazon Simple Notification Service (Amazon SNS) Create a fleet of Amazon EC2 instances behind an Application Load Balancer (ALB) to pull messages from Amazon SNS to process the images and place them in Amazon Elastic File System (Amazon EFS) Use Amazon CloudWatch metrics for the SNS message volume to scale out EC2 instances. Enable Amazon CloudFront and configure the origin to be the ALB in front of the EC2 instances
- C. Store the uploaded images in Amazon Elastic File System (Amazon EFS). Send application log information about each image to Amazon CloudWatch Logs Create a fleet of Amazon EC2 instances that use CloudWatch Logs to determine which images need to be processed Place processed images in another directory in Amazon EFS. Enable Amazon CloudFront and configure the origin to be the one of the EC2 instances in the fleet
- D. Store the uploaded images on a shared Amazon Elastic Block Store (Amazon EBS) volume amounted to a fleet of Amazon EC2 Spot instances. Create an Amazon DynamoDB table that contains information about each uploaded image and whether it has been processed Use an Amazon EventBndge rule to scale out EC2 instances. Enable Amazon CloudFront and configure the origin to reference an Elastic Load Balancer in front of the fleet of EC2 instances.
Answer: A
Explanation:
(Store the uploaded images in an S3 bucket and use S3 event notification with SQS queue) is the most suitable design. Amazon S3 provides highly scalable and durable storage for the uploaded images.
Configuring S3 event notifications to send messages to an SQS queue allows for decoupling the processing of images from the upload process. A fleet of EC2 instances can pull messages from the SQS queue to process the images and store them in another S3 bucket. Scaling out the EC2 instances based on SQS queue depth using CloudWatch metrics ensures efficient utilization of resources. Enabling Amazon CloudFront with the origin set to the S3 bucket containing the processed images improves the global availability and performance of image delivery.
NEW QUESTION # 123
An online retail company hosts its stateful web-based application and MySQL database in an on-premises data center on a single server. The company wants to increase its customer base by conducting more marketing campaigns and promotions. In preparation, the company wants to migrate its application and database to AWS to increase the reliability of its architecture.
Which solution should provide the HIGHEST level of reliability?
- A. Migrate the database to an Amazon RDS MariaDB Multi-AZ DB instance. Deploy the application in an Auto Scaling group on Amazon EC2 instances behind an Application Load Balancer. Store sessions in Amazon ElastiCache for Memcached.
- B. Migrate the database to Amazon Aurora MySQL. Deploy the application in an Auto Scaling group on Amazon EC2 instances behind an Application Load Balancer. Store sessions in an Amazon ElastiCache for Redis replication group.
- C. Migrate the database to an Amazon RDS MySQL Multi-AZ DB instance. Deploy the application in an Auto Scaling group on Amazon EC2 instances behind an Application Load Balancer. Store sessions in Amazon Neptune.
- D. Migrate the database to Amazon DocumentDB (with MongoDB compatibility). Deploy the application in an Auto Scaling group on Amazon EC2 instances behind a Network Load Balancer. Store sessions in Amazon Kinesis Data Firehose.
Answer: B
Explanation:
Reference:
What is Amazon Aurora?
What is Auto Scaling?
What is Amazon ElastiCache?
NEW QUESTION # 124
A solutions architect is building a web application that uses an Amazon RDS for PostgreSQL DB instance The DB instance is expected to receive many more reads than writes. The solutions architect needs to ensure that the large amount of read traffic can be accommodated and that the DB instance is highly available.
Which steps should the solutions architect take to meet these requirements? (Select THREE)
- A. Configure an Amazon CloudWatch alarm to detect a failed read replic
a. Set the alarm to directly invoke an AWS Lambda function to delete its Route 53 record set. - B. Configure an Amazon Route 53 health check for each read replica using its endpoint
- C. Create multiple read replicas in different Availability Zones.
- D. Create an Application Load Balancer (ALB) and put the read replicas behind the ALB.
- E. Create an Amazon Route 53 hosted zone and a record set for each read replica with a TTL and a weighted routing policy.
- F. Create multiple read replicas and put them into an Auto Scaling group.
Answer: B,C,E
Explanation:
https://aws.amazon.com/premiumsupport/knowledge-center/requests-rds-read-replicas/ You can use Amazon Route 53 weighted record sets to distribute requests across your read replicas. Within a Route 53 hosted zone, create individual record sets for each DNS endpoint associated with your read replicas and give them the same weight. Then, direct requests to the endpoint of the record set. You can incorporate Route 53 health checks to be sure that Route 53 directs traffic away from unavailable read replicas
NEW QUESTION # 125
A global media company is planning a multi-Region deployment of an application. Amazon DynamoDB global tables will back the deployment to keep the user experience consistent across the two continents where users are concentrated. Each deployment will have a public Application Load Balancer (ALB). The company manages public DNS internally. The company wants to make the application available through an apex domain.
Which solution will meet these requirements with the LEAST effort?
- A. Place a Network Load Balancer (NLB) in front of the ALB. Migrate public DNS to Amazon Route 53. Create a CNAME record for the apex domain to point to the NLB's static IP address. Use a geolocation routing policy to route traffic based on user location.
- B. Create an AWS Global Accelerator accelerator with multiple endpoint groups that target endpoints in appropriate AWS Regions. Use the accelerator's static IP address to create a record in public DNS for the apex domain.
- C. Create an Amazon API Gateway API that is backed by AWS Lambda in one of the AWS Regions. Configure a Lambda function to route traffic to application deployments by using the round robin method. Create CNAME records for the apex domain to point to the API's URL.
- D. Migrate public DNS to Amazon Route 53. Create CNAME records for the apex domain to point to the ALB. Use a geolocation routing policy to route traffic based on user location.
Answer: B
Explanation:
AWS Global Accelerator is a service that directs traffic to optimal endpoints (in this case, the Application Load Balancer) based on the health of the endpoints and network routing. It allows you to create an accelerator that directs traffic to multiple endpoint groups, one for each Region where the application is deployed. The accelerator uses the AWS global network to optimize the traffic routing to the healthy endpoint.
By using Global Accelerator, the company can use a single static IP address for the apex domain, and traffic will be directed to the optimal endpoint based on the user's location, without the need for additional load balancers or routing policies.
Reference:
AWS Global Accelerator documentation: https://aws.amazon.com/global-accelerator/ Routing User Traffic to the Optimal AWS Region using Global Accelerator documentation: https://aws.amazon.com/blogs/networking-and-content-delivery/routing-user-traffic-to-the-optimal-aws-region-using-global-accelerator/
NEW QUESTION # 126
A company uses a software package for surveys. During surveys, data is uploaded from a field operator's device to an Amazon S3 bucket. A custom application that runs on several Amazon EC2 instances polls the S3 bucket for new data. When new data is available, the software processes the data.
The data uploads are infrequent. The processing software can take up to 25 minutes to analyze each data upload. The company wants to optimize the application workflow to process the S3 data.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Modify the application to accept new S3 object keys as inputs. Containerize the application.
Deploy the container image to AWS Lambda functions. Create a new AWS Step Functions state machine to invoke the Lambda functions. Configure the state machine with a Task state that calls the Lambda functions. Set the Task state's Timeout property to 30 minutes. - B. Modify the application to use HTTP to poll new S3 object keys that reference data to process.Containerize the application. Deploy the container image to AWS Lambda functions. Configure S3 bucket notifications to send events to Amazon EventBridge when new objects are uploaded.Create an EventBridge rule that invokes the Lambda functions to post the new objects to HTTP endpoints by using fan-out.
- C. Modify the application to accept new S3 object keys as inputs. Containerize the application.
Deploy the container to an Amazon ECS cluster that uses the AWS Fargate launch type.
Configure S3 bucket notifications to send events to Amazon EventBridge when new objects are uploaded. Create an EventBridge rule that invokes an ECS task to run the application when a new S3 object event occurs. - D. Modify the application to accept new S3 object keys as inputs. Move the application from EC2 instances to Amazon ECS by using the EC2 capacity provider. Create an AWS Glue crawler to check the S3 bucket and invoke the application. Configure the application to process the data when the data is uploaded to Amazon S3.
Answer: C
Explanation:
Moving the application to AWS Fargate with Amazon ECS provides an efficient, serverless solution where you don't need to manage EC2 instances. Fargate automatically handles the scaling and management of resources. Configuring S3 bucket notifications to send events to EventBridge ensures that the system responds immediately when new data is uploaded to S3.
Using EventBridge to invoke ECS tasks eliminates the need for manual polling, reducing operational overhead and optimizing the workflow for processing data uploads.
NEW QUESTION # 127
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