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SAA-C03 Practice Test

Whether you're a beginner or brushing up on skills, our SAA-C03 practice exam is your key to success. Our comprehensive question bank covers all key topics, ensuring you’re fully prepared.


Page 23 out of 193 Pages

Topic 4: Exam Pool D

An application running on an Amazon EC2 instance in VPC-A needs to access files in another EC2 instance in VPC-Both VPCs are in separate AWS accounts. The network administrator needs to design a solution to configure secure access to EC2 instance in VPC-B from VPC-The connectivity should not have a single point of failure or bandwidth concerns. Which solution will meet these requirements?


A. Set up a VPC peering connection between VPC-A and VPC-B.


B. Set up VPC gateway endpoints for the EC2 instance running in VPC-B.


C. Attach a virtual private gateway to VPC-B and set up routing from VPC-A.


D. Create a private virtual interface (VIF) for the EC2 instance running in VPC-B and add appropriate routes from VPC-A.





A.
  Set up a VPC peering connection between VPC-A and VPC-B.

Explanation: AWS uses the existing infrastructure of a VPC to create a VPC peering connection; it is neither a gateway nor a VPN connection, and does not rely on a separate piece of physical hardware. There is no single point of failure for communication or a bandwidth bottleneck. https://docs.aws.amazon.com/vpc/latest/peering/what-is-vpc-peering.html

A social media company runs its application on Amazon EC2 instances behind an Application Load Balancer (ALB). The ALB is the origin for an Amazon CloudFront distribution. The application has more than a billion images stored in an Amazon S3 bucket and processes thousands of images each second. The company wants to resize the images dynamically and serve appropriate formats to clients. Which solution will meet these requirements with the LEAST operational overhead?


A. Install an external image management library on an EC2 instance. Use the image management library to process the images.


B. Create a CloudFront origin request policy. Use the policy to automatically resize images and to serve the appropriate format based on the User-Agent HTTP header in the request.


C. Use a Lambda@Edge function with an external image management library. Associate the Lambda@Edge function with the CloudFront behaviors that serve the images.


D. Create a CloudFront response headers policy. Use the policy to automatically resize images and to serve the appropriate format based on the User-Agent HTTP header in the request.





C.
  Use a Lambda@Edge function with an external image management library. Associate the Lambda@Edge function with the CloudFront behaviors that serve the images.

Explanation: To resize images dynamically and serve appropriate formats to clients, a Lambda@Edge function with an external image management library can be used. Lambda@Edge allows running custom code at the edge locations of CloudFront, which can process the images on the fly and optimize them for different devices and browsers. An external image management library can provide various image manipulation and optimization features.

A company uses NFS to store large video files in on-premises network attached storage. Each video file ranges in size from 1MB to 500 GB. The total storage is 70 TB and is no longer growing. The company decides to migrate the video files to Amazon S3. The company must migrate the video files as soon as possible while using the least possible network bandwidth.
Which solution will meet these requirements?


A. Create an S3 bucket Create an IAM role that has permissions to write to the S3 bucket. Use the AWS CLI to copy all files locally to the S3 bucket.


B. Create an AWS Snowball Edge job. Receive a Snowball Edge device on premises. Use the Snowball Edge client to transfer data to the device. Return the device so that AWS can import the data into Amazon S3.


C. Deploy an S3 File Gateway on premises. Create a public service endpoint to connect to the S3 File Gateway Create an S3 bucket Create a new NFS file share on the S3 File Gateway Point the new file share to the S3 bucket. Transfer the data from the existing NFS file share to the S3 File Gateway.


D. Set up an AWS Direct Connect connection between the on-premises network and AWS. Deploy an S3 File Gateway on premises. Create a public virtual interlace (VIF) to connect to the S3 File Gateway. Create an S3 bucket. Create a new NFS file share on the S3 File Gateway. Point the new file share to the S3 bucket. Transfer the data from the existing NFS file share to the S3 File Gateway.





B.
  Create an AWS Snowball Edge job. Receive a Snowball Edge device on premises. Use the Snowball Edge client to transfer data to the device. Return the device so that AWS can import the data into Amazon S3.

Explanation: The basic difference between Snowball and Snowball Edge is the capacity they provide. Snowball provides a total of 50 TB or 80 TB, out of which 42 TB or 72 TB is available, while Amazon Snowball Edge provides 100 TB, out of which 83 TB is available.

A company wants to securely exchange data between its software as a service (SaaS) application Salesforce account and Amazon S3. The company must encrypt the data at rest by using AWS Key Management Service (AWS KMS) customer managed keys (CMKs). The company must also encrypt the data in transit. The company has enabled API access for the Salesforce account. Which solution will meet these requirements with the LEAST development effort?


A. Create AWS Lambda functions to transfer the data securely from Salesforce to Amazon S3.


B. Create an AWS Step Functions workflow Define the task to transfer the data securely from Salesforce to Amazon S3.


C. Create Amazon AppFlow flows to transfer the data securely from Salesforce to Amazon S3.


D. Create a custom connector for Salesforce to transfer the data securely from Salesforce to Amazon S3.





C.
  Create Amazon AppFlow flows to transfer the data securely from Salesforce to Amazon S3.

Explanation: Amazon AppFlow is a fully managed integration service that enables users to transfer data securely between SaaS applications and AWS services. It supports Salesforce as a source and Amazon S3 as a destination. It also supports encryption of data at rest using AWS KMS CMKs and encryption of data in transit using SSL/TLS1. By using Amazon AppFlow, the solution can meet the requirements with the least development effort. Create AWS Lambda functions to transfer the data securely from Salesforce to Amazon S3. This solution will not meet the requirement of the least development effort, as it involves writing custom code to interact with Salesforce and Amazon S3 APIs, handle authentication, encryption, error handling, and monitoring2. Create an AWS Step Functions workflow Define the task to transfer the data securely from Salesforce to Amazon S3. This solution will not meet the requirement of the least development effort, as it involves creating a state machine definition to orchestrate the data transfer task, and invoking Lambda functions or other services to perform the actual data transfer3. Create a custom connector for Salesforce to transfer the data securely from Salesforce to Ama-zon S3. This solution will not meet the requirement of the least development effort, as it involves using the Amazon AppFlow Custom Connector SDK to build and deploy a custom connector for Salesforce, which requires additional configuration and management.

A company observes an increase in Amazon EC2 costs in its most recent bill The billing team notices unwanted vertical scaling of instance types for a couple of EC2 instances A solutions architect needs to create a graph comparing the last 2 months of EC2 costs and perform an in-depth analysis to identify the root cause of the vertical scaling
How should the solutions architect generate the information with the LEAST operational overhead?


A. Use AWS Budgets to create a budget report and compare EC2 costs based on instance types


B. Use Cost Explorer's granular filtering feature to perform an in-depth analysis of EC2 costs based on instance types


C. Use graphs from the AWS Billing and Cost Management dashboard to compare EC2 costs based on instance types for the last 2 months


D. Use AWS Cost and Usage Reports to create a report and send it to an Amazon S3 bucket Use Amazon QuickSight with Amazon S3 as a source to generate an interactive graph based on instance types.





B.
  Use Cost Explorer's granular filtering feature to perform an in-depth analysis of EC2 costs based on instance types

Explanation: AWS Cost Explorer is a tool that enables you to view and analyze your costs and usage. You can explore your usage and costs using the main graph, the Cost Explorer cost and usage reports, or the Cost Explorer RI reports. You can view data for up to the last 12 months, forecast how much you're likely to spend for the next 12 months, and get recommendations for what Reserved Instances to purchase. You can use Cost Explorer to identify areas that need further inquiry and see trends that you can use to understand your costs.


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