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Free SAP-C01 Exam Braindumps (page: 38)

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PDF with 528 Questions

A company has migrated an application from on premises to AWS. The application frontend is a static website that runs on two Amazon EC2 instances behind an Application Load Balancer (ALB). The application backend is a Python application that runs on three EC2 instances behind another ALB. The EC2 instances are large, general purpose On-Demand Instances that were sized to meet the on-premises specifications for peak usage of the application.

The application averages hundreds of thousands of requests each month. However, the application is used mainly during lunchtime and receives minimal traffic during the rest of the day.

A solutions architect needs to optimize the infrastructure cost of the application without negatively affecting the application availability.

Which combination of steps will meet these requirements? (Choose two.)

  1. Change all the EC2 instances to compute optimized instances that have the same number of cores as the existing EC2 instances.
  2. Move the application frontend to a static website that is hosted on Amazon S3.
  3. Deploy the application frontend by using AWS Elastic Beanstalk. Use the same instance type for the nodes.
  4. Change all the backend EC2 instances to Spot Instances.
  5. Deploy the backend Python application to general purpose burstable EC2 instances that have the same number of cores as the existing EC2 instances.

Answer(s): B,E

Explanation:

The chosen solutions are:
B) Move the application frontend to a static website that is hosted on Amazon S3.
E) Deploy the backend Python application to general purpose burstable EC2 instances that have the same number of cores as the existing EC2 instances.
Reasoning:
1.Option B: Move the application frontend to a static website hosted on Amazon S3.
oCost-Effectiveness: Hosting static websites on Amazon S3 is significantly cheaper than running EC2 instances, especially for a website that primarily serves static content (like HTML, CSS, and JavaScript).
oScalability and Availability: Amazon S3 is designed for high durability and availability, meaning it can handle fluctuations in traffic seamlessly without the need for managing EC2 instances.
oReduced Management Overhead: By moving to S3, the company eliminates the need for server maintenance and can focus on application development rather than infrastructure management.
2.Option E: Deploy the backend Python application to general purpose burstable EC2 instances that have the same number of cores as the existing EC2 instances.
oCost Optimization: Burstable performance instances (like T3 or T4g) are ideal for applications that do not consistently require high CPU performance. They allow for lower costs while still providing the necessary CPU power during peak times, such as lunchtime.
oEfficiency: By utilizing the same number of cores, the application can maintain its performance levels while taking advantage of cost savings associated with burstable instances during off-peak hours.



A company is running an event ticketing platform on AWS and wants to optimize the platform's cost-effectiveness. The platform is deployed on Amazon Elastic Kubernetes Service (Amazon EKS) with Amazon EC2 and is backed by an Amazon RDS for MySQL DB instance. The company is developing new application features to run on Amazon EKS with AWS Fargate.

The platform experiences infrequent high peaks in demand. The surges in demand depend on event dates.

Which solution will provide the MOST cost-effective setup for the platform?

  1. Purchase Standard Reserved Instances for the EC2 instances that the EKS cluster uses in its baseline load. Scale the cluster with Spot Instances to handle peaks. Purchase 1-year All Upfront Reserved Instances for the database to meet predicted peak load for the year.
  2. Purchase Compute Savings Plans for the predicted medium load of the EKS cluster. Scale the cluster with On-Demand Capacity Reservations based on event dates for peaks. Purchase 1-year No Upfront Reserved Instances for the database to meet the predicted base load. Temporarily scale out database read replicas during peaks.
  3. Purchase EC2 Instance Savings Plans for the predicted base load of the EKS cluster. Scale the cluster with Spot Instances to handle peaks. Purchase 1-year All Upfront Reserved Instances for the database to meet the predicted base load. Temporarily scale up the DB instance manually during peaks.
  4. Purchase Compute Savings Plans for the predicted base load of the EKS cluster. Scale the cluster with Spot Instances to handle peaks. Purchase 1-year All Upfront Reserved Instances for the database to meet the predicted base load. Temporarily scale up the DB instance manually during peaks.

Answer(s): B

Explanation:

The chosen solution is:

B) Purchase Compute Savings Plans for the predicted medium load of the EKS cluster. Scale the cluster with On-Demand Capacity Reservations based on event dates for peaks. Purchase 1-year No Upfront Reserved Instances for the database to meet the predicted base load. Temporarily scale out database read replicas during peaks.

This approach provides cost savings through Savings Plans while allowing flexibility to handle peak loads with On-Demand Capacity Reservations and additional read replicas during high-demand periods.



A company has deployed an application on AWS Elastic Beanstalk. The application uses Amazon Aurora for the database layer. An Amazon CloudFront distribution serves web requests and includes the Elastic Beanstalk domain name as the origin server. The distribution is configured with an alternate domain name that visitors use when they access the application.

Each week, the company takes the application out of service for routine maintenance. During the time that the application is unavailable, the company wants visitors to receive an informational message instead of a CloudFront error message.

A solutions architect creates an Amazon S3 bucket as the first step in the process.

Which combination of steps should the solutions architect take next to meet the requirements? (Choose three.)

  1. Upload static informational content to the S3 bucket.
  2. Create a new CloudFront distribution. Set the S3 bucket as the origin.
  3. Set the S3 bucket as a second origin in the original CloudFront distribution. Configure the distribution and the S3 bucket to use an origin access identity (OAI).
  4. During the weekly maintenance, edit the default cache behavior to use the S3 origin. Revert the change when the maintenance is complete.
  5. During the weekly maintenance, create a cache behavior for the S3 origin on the new distribution. Set the path pattern to \ Set the precedence to 0. Delete the cache behavior when the maintenance is complete.
  6. During the weekly maintenance, configure Elastic Beanstalk to serve traffic from the S3 bucket.

Answer(s): A,C,D

Explanation:

The selected steps to meet the requirements are:
A) Upload static informational content to the S3 bucket.C) Set the S3 bucket as a second origin in the original CloudFront distribution. Configure the distribution and the S3 bucket to use an origin access identity (OAI).D) During the weekly maintenance, edit the default cache behavior to use the S3 origin. Revert the change when the maintenance is complete.
These steps ensure that while the application is down for maintenance, users receive the static informational content from the S3 bucket instead of an error message from CloudFront. The S3 bucket serves as a fallback option, and the configuration allows for seamless switching between the application and the informational content.



A company gives users the ability to upload images from a custom application. The upload process invokes an AWS Lambda function that processes and stores the image in an Amazon S3 bucket. The application invokes the Lambda function by using a specific function version ARN.

The Lambda function accepts image processing parameters by using environment variables. The company often adjusts the environment variables of the Lambda function to achieve optimal image processing output. The company tests different parameters and publishes a new function version with the updated environment variables after validating results. This update process also requires frequent changes to the custom application to invoke the new function version ARN. These changes cause interruptions for users.

A solutions architect needs to simplify this process to minimize disruption to users.

Which solution will meet these requirements with the LEAST operational overhead?

  1. Directly modify the environment variables of the published Lambda function version. Use the SLATEST version to test image processing parameters.
  2. Create an Amazon DynamoDB table to store the image processing parameters. Modify the Lambda function to retrieve the image processing parameters from the DynamoDB table.
  3. Directly code the image processing parameters within the Lambda function and remove the environment variables. Publish a new function version when the company updates the parameters.
  4. Create a Lambda function alias. Modify the client application to use the function alias ARN. Reconfigure the Lambda alias to point to new versions of the function when the company finishes testing.

Answer(s): D

Explanation:

The selected solution is:
D) Create a Lambda function alias. Modify the client application to use the function alias ARN. Reconfigure the Lambda alias to point to new versions of the function when the company finishes testing.
This approach simplifies the deployment process by allowing the application to consistently invoke the alias instead of changing the ARN for each new version. By updating the alias to point to the new function version after testing, the company can seamlessly switch to the updated processing parameters without interrupting user experience. This minimizes disruption and reduces operational overhead associated with frequent changes.



Page 38 of 134



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