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Free SAA-C03 Exam Braindumps (page: 16)

Page 15 of 247
PDF with 1019 Questions

A company is running a popular social media website. The website gives users the ability to upload images to share with other users. The company wants to make sure that the images do not contain inappropriate content. The company needs a solution that minimizes development effort.

What should a solutions architect do to meet these requirements?

  1. Use Amazon Comprehend to detect inappropriate content. Use human review for low-confidence predictions.
  2. Use Amazon Rekognition to detect inappropriate content. Use human review for low-confidence predictions.
  3. Use Amazon SageMaker to detect inappropriate content. Use ground truth to label low-confidence predictions.
  4. Use AWS Fargate to deploy a custom machine learning model to detect inappropriate content. Use ground truth to label low-confidence predictions.

Answer(s): B



A company wants to run its critical applications in containers to meet requirements for scalability and availability. The company prefers to focus on maintenance of the critical applications. The company does not want to be responsible for provisioning and managing the underlying infrastructure that runs the containerized workload.

What should a solutions architect do to meet these requirements?

  1. Use Amazon EC2 instances, and install Docker on the instances.
  2. Use Amazon Elastic Container Service (Amazon ECS) on Amazon EC2 worker nodes.
  3. Use Amazon Elastic Container Service (Amazon ECS) on AWS Fargate.
  4. Use Amazon EC2 instances from an Amazon Elastic Container Service (Amazon ECS)-optimized Amazon Machine Image (AMI).

Answer(s): C



A company hosts more than 300 global websites and applications. The company requires a platform to analyze more than 30 TB of clickstream data each day.

What should a solutions architect do to transmit and process the clickstream data?

  1. Design an AWS Data Pipeline to archive the data to an Amazon S3 bucket and run an Amazon EMR cluster with the data to generate analytics.
  2. Create an Auto Scaling group of Amazon EC2 instances to process the data and send it to an Amazon S3 data lake for Amazon Redshift to use for analysis.
  3. Cache the data to Amazon CloudFront. Store the data in an Amazon S3 bucket. When an object is added to the S3 bucket. run an AWS Lambda function to process the data for analysis.
  4. Collect the data from Amazon Kinesis Data Streams. Use Amazon Kinesis Data Firehose to transmit the data to an Amazon S3 data lake. Load the data in Amazon Redshift for analysis.

Answer(s): D



A company has a website hosted on AWS. The website is behind an Application Load Balancer (ALB) that is configured to handle HTTP and HTTPS separately. The company wants to forward all requests to the website so that the requests will use HTTPS.

What should a solutions architect do to meet this requirement?

  1. Update the ALB's network ACL to accept only HTTPS traffic.
  2. Create a rule that replaces the HTTP in the URL with HTTPS.
  3. Create a listener rule on the ALB to redirect HTTP traffic to HTTPS.
  4. Replace the ALB with a Network Load Balancer configured to use Server Name Indication (SNI).

Answer(s): C






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