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Amazon SAP-C01 Online Practice Questions and Exam Preparation

SAP-C01 Exam Details

  • Exam Code
    :SAP-C01
  • Exam Name
    :AWS Certified Solutions Architect - Professional (SAP-C01)
  • Certification
    :Amazon Certifications
  • Vendor
    :Amazon
  • Total Questions
    :973 Q&As
  • Last Updated
    :Jul 09, 2023

Amazon SAP-C01 Online Questions & Answers

  • Question 971:

    Identify a benefit of using Auto Scaling for your application.

    A. Your application gains better fault tolerance.
    B. Your application optimizes only logistics and operations.
    C. Your application receives latency requirements in every region.
    D. You acquire clarity on prototypes in your application.

  • Question 972:

    A company operates quick-service restaurants. The restaurants follow a predictable model with high sales traffic for -4 hours daily Sates traffic is lower outside of those peak hours.

    The point of sale and management platform is deployed in the AWS Cloud and has a backend that is based or Amazon DynamoDB The database table uses provisioned throughput mode with 100.000 RCUs and 80.000 WCUs to match

    Known peak resource consumption.

    The company wants to reduce its DynamoDB cost and minimize the operational overhead for the IT staff.

    Which solution meets these requirements MOST cost-effectively?

    A. Reduce the provisioned RCUs and WCUs
    B. Change the DynamoDB table to use on-demand capacity
    C. Enable Dynamo DB auto seating for the table.
    D. Purchase 1-year reserved capacity that is sufficient to cover the peak load for 4 hours each day.

  • Question 973:

    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 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.
    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 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 metrics 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.
    D. Store the uploaded images on a shared Amazon Elastic Block Store (Amazon EBS) volume mounted 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 EventBridge (Amazon CloudWatch Events) 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.

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