Amazon SAA-C03 Online Practice Questions and Exam Preparation

Amazon SAA-C03 Online Questions & Answers

• Question 891:

  A company is planning to migrate an on-premises online transaction processing (OLTP) database that uses MySQL to an AWS managed database management system. Several reporting and analytics applications use the on-premises database heavily on weekends and at the end of each month. The cloud-based solution must be able to handle read-heavy surges during weekends and at the end of each month.

  Which solution will meet these requirements?

  A. Migrate the database to an Amazon Aurora MySQL cluster. Configure Aurora Auto Scaling to use replicas to handle surges.
  B. Migrate the database to an Amazon EC2 instance that runs MySQL. Use an EC2 instance type that has ephemeral storage. Attach Amazon EBS Provisioned IOPS SSD (io2) volumes to the instance.
  C. Migrate the database to an Amazon RDS for MySQL database. Configure the RDS for MySQL database for a Multi-AZ deployment, and set up auto scaling.
  D. Migrate from the database to Amazon Redshift. Use Amazon Redshift as the database for both OLTP and analytics applications.
  A. Migrate the database to an Amazon Aurora MySQL cluster. Configure Aurora Auto Scaling to use replicas to handle surges.

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  Explanation

  Option A. Aurora MySQL:Handles OLTP workloads efficiently with built-in replication and auto-scaling capabilities.

  Option B. EC2 with MySQL:Requires heavy manual maintenance and does not scale seamlessly.

  Option C. RDS for MySQL:Limited in auto-scaling compared to Aurora.

  Option D. Redshift:Primarily for OLAP, not suitable for OLTP workloads.

• Question 892:

  A company that uses AWS needs a solution to predict the resources needed for manufacturing processes each month. The solution must use historical values that are currently stored in an Amazon S3 bucket. The company has no machine learning (ML) experience and wants to use a managed service for the training and predictions.

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

  A. Deploy an Amazon SageMaker model. Create a SageMaker endpoint for inference.
  B. Use Amazon SageMaker to train a model by using the historical data in the S3 bucket.
  C. Configure an AWS Lambda function with a function URL that uses Amazon SageMaker endpoints to create predictions based on the inputs.
  D. Configure an AWS Lambda function with a function URL that uses an Amazon Forecast predictor to create a prediction based on the inputs.
  E. Train an Amazon Forsecast predictor by using the historical data in the S3 bucket.
  A. Deploy an Amazon SageMaker model. Create a SageMaker endpoint for inference.
  B. Use Amazon SageMaker to train a model by using the historical data in the S3 bucket.

• Question 893:

  A website uses EC2 instances with Auto Scaling and EFS.

  How can the company optimize costs?

  A. Reconfigure the Auto Scaling group to set a desired number of instances. Turn off scheduled scaling.
  B. Create a new launch template version that uses larger EC2 instances.
  C. Reconfigure the Auto Scaling group to use a target tracking scaling policy.
  D. Replace the EFS volume with instance store volumes.
  C. Reconfigure the Auto Scaling group to use a target tracking scaling policy.

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  Explanation

  Option C ensures dynamic scaling based on demand using a target tracking scaling policy, optimizing costs.

  Option A results in over-provisioning, leading to higher costs. Option Bincreases costs by using larger instances.

  Option D is not feasible as instance store volumes are ephemeral and unsuitable for shared storage like EFS.

• Question 894:

  A company has a website that handles dynamic traffic loads. The website architecture is based on Amazon EC2 instances in an Auto Scaling group that is configured to use scheduled scaling. Each EC2 instance runs code from an Amazon Elastic File System (Amazon EFS) volume and stores shared data back to the same volume.

  The company wants to optimize costs for the website.

  Which solution will meet this requirement?

  A. Reconfigure the Auto Scaling group to set a desired number of instances. Turn off scheduled scaling.
  B. Create a new launch template version for the Auto Scaling group that uses larger EC2 instances.
  C. Reconfigure the Auto Scaling group to use a target tracking scaling policy.
  D. Replace the EFS volume with instance store volumes.
  C. Reconfigure the Auto Scaling group to use a target tracking scaling policy.

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  Explanation

  Option A, Fixed desired instances:Does not adapt to traffic load fluctuations, leading to inefficiencies.

  Option B, Larger EC2 instances:Increases costs unnecessarily.

  Option C, Target tracking scaling policy:Adjusts capacity based on actual demand, optimizing costs.

  Option D, Instance store volumes:Not persistent and unsuitable for shared data across instances.

• Question 895:

  A company wants to restrict access to the content of its web application. The company needs to protect the content by using authorization techniques that are available on AWS. The company also wants to implement a serverless architecture for authorization and authentication that has low login latency. The solution must integrate with the web application and serve web content globally. The application currently has a small user base, but the company expects the application's user base to increase.

  Which solution will meet these requirements?

  A. Configure Amazon Cognito for authentication. Implement Lambda@Edge for authorization. Configure Amazon CloudFront to serve the web application globally.
  B. Configure AWS Directory Service for Microsoft Active Directory for authentication. Implement AWS Lambda for authorization. Use an Application Load Balancer to serve the web application globally.
  C. Configure Amazon Cognito for authentication. Implement AWS Lambda for authorization. Use Amazon S3 Transfer Acceleration to serve the web application globally.
  D. Configure AWS Directory Service for Microsoft Active Directory for authentication. Implement Lambda@Edge for authorization. Use AWS Elastic Beanstalk to serve the web application globally.
  A. Configure Amazon Cognito for authentication. Implement Lambda@Edge for authorization. Configure Amazon CloudFront to serve the web application globally.

• Question 896:

  A business application is hosted on Amazon EC2 and uses Amazon S3 for encrypted object storage. The chief information security officer has directed that no application traffic between the two services should traverse the public internet.

  Which capability should the solutions architect use to meet the compliance requirements?

  A. AWS Key Management Service (AWS KMS)
  B. VPC endpoint
  C. Private subnet
  D. Virtual private gateway
  B. VPC endpoint

• Question 897:

  A solutions architect needs to copy files from an Amazon S3 bucket to an Amazon Elastic File System (Amazon EFS) file system and another S3 bucket. The files must be copied continuously. New files are added to the original S3 bucket consistently. The copied files should be overwritten only if the source file changes.

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

  A. Create an AWS DataSync location for both the destination S3 bucket and the EFS file system. Create a task for the destination S3 bucket and the EFS file system. Set the transfer mode to transfer only data that has changed.
  B. Create an AWS Lambda function. Mount the file system to the function. Set up an S3 event notification to invoke the function when files are created and changed in Amazon S3. Configure the function to copy files to the file system and the destination S3 bucket.
  C. Create an AWS DataSync location for both the destination S3 bucket and the EFS file system. Create a task for the destination S3 bucket and the EFS file system. Set the transfer mode to transfer all data.
  D. Launch an Amazon EC2 instance in the same VPC as the file system. Mount the file system. Create a script to routinely synchronize all objects that changed in the origin S3 bucket to the destination S3 bucket and the mounted file system.
  A. Create an AWS DataSync location for both the destination S3 bucket and the EFS file system. Create a task for the destination S3 bucket and the EFS file system. Set the transfer mode to transfer only data that has changed.

• Question 898:

  A company hosts its core network services, including directory services and DNS, in its on-premises data center. The data center is connected to the AWS Cloud using AWS Direct Connect (DX). Additional AWS accounts are planned that will require quick, cost-effective, and consistent access to these network services.

  What should a solutions architect implement to meet these requirements with the LEAST amount of operational overhead?

  A. Create a DX connection in each new account. Route the network traffic to the on-premises servers.
  B. Configure VPC endpoints in the DX VPC for all required services. Route the network traffic to the on-premises servers.
  C. Create a VPN connection between each new account and the DX VPRoute the network traffic to the on-premises servers.
  D. Configure AWS Transit Gateway between the accounts. Assign DX to the transit gateway and route network traffic to the on-premises servers.
  D. Configure AWS Transit Gateway between the accounts. Assign DX to the transit gateway and route network traffic to the on-premises servers.

• Question 899:

  An e-commerce company has an application that uses Amazon DynamoDB tables configured with provisioned capacity. Order data is stored in a table named Orders. The Orders table has a primary key of order-ID and a sort key of product-ID. The company configured an AWS Lambda function to receive DynamoDB streams from the Orders table and update a table named Inventory. The company has noticed that during peak sales periods, updates to the Inventory table take longer than the company can tolerate.

  Which solutions will resolve the slow table updates? (Choose Two.)

  A. Add a global secondary index to the Orders table. Include the product-ID attribute.
  B. Set the batch size attribute of the DynamoDB streams to be based on the size of items in the Orders table.
  C. Increase the DynamoDB table provisioned capacity by 1,000 write capacity units (WCUs).
  D. Increase the DynamoDB table provisioned capacity by 1,000 read capacity units (RCUs).
  E. Increase the timeout of the Lambda function to 15 minutes.
  B. Set the batch size attribute of the DynamoDB streams to be based on the size of items in the Orders table.
  C. Increase the DynamoDB table provisioned capacity by 1,000 write capacity units (WCUs).

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  Explanation

  Delayed Inventory table updates during peak sales.

  DynamoDB Streams and Lambda processing require optimization.

  Analysis of Options:

  Option A:Adding a GSI is unrelated to the issue. It does not address stream processing delays or capacity issues.

  Option B:Optimizing batch size reduces latency and allows the Lambda function to process larger chunks of data at once, improving performance during peak load.

  Option C:Increasing write capacity for the Inventory table ensures that it can handle the increased volume of updates during peak times.

  Option D:Increasing read capacity for the Orders table does not directly resolve the issue since the problem is with updates to the Inventory table.

  Option E:Increasing Lambda timeout only addresses longer processing times but does not solve the underlying throughput problem.

  References:

  DynamoDB Streams Best Practices Provisioned Throughput in DynamoDB

• Question 900:

  A company plans to use Amazon ElastiCache for its multi-tier web application. A solutions architect creates a Cache VPC for the ElastiCache cluster and an App VPC for the application's Amazon EC2 instances.

  Both VPCs are in the us-east- 1 Region. The solutions architect must implement a solution to provide the application's EC2 instances with access to the ElastiCache cluster.

  Which solution will meet these requirements MOST cost-effectively?

  A. Create a peering connection between the VPCs. Add a route table entry for the peering connection in both VPCs. Configure an inbound rule for the ElastiCache cluster's security group to allow inbound connection from the application's security group.
  B. Create a Transit VPC. Update the VPC route tables in the Cache VPC and the App VPC to route traffic through the Transit VPC. Configure an inbound rule for the ElastiCache cluster's security group to allow inbound connection from the application's security group.
  C. Create a peering connection between the VPCs. Add a route table entry for the peering connection in both VPCs. Configure an inbound rule for the peering connection's security group to allow inbound connection from the application's security group.
  D. Create a Transit VPC. Update the VPC route tables in the Cache VPC and the App VPC to route traffic through the Transit VPC. Configure an inbound rule for the Transit VPC's security group to allow inbound connection from the application's security group.
  A. Create a peering connection between the VPCs. Add a route table entry for the peering connection in both VPCs. Configure an inbound rule for the ElastiCache cluster's security group to allow inbound connection from the application's security group.