Amazon SAA-C03 Online Practice Questions and Exam Preparation

Amazon SAA-C03 Online Questions & Answers

• Question 1111:

  A company serves its website by using an Auto Scaling group of Amazon EC2 instances in a single AWS Region. The website does not require a database. The company is expanding, and the company's engineering team deploys the website to a second Region. The company wants to distribute traffic across both Regions to accommodate growth and for disaster recovery purposes. The solution should not serve traffic from a Region in which the website is unhealthy.

  Which policy or resource should the company use to meet these requirements?

  A. An Amazon Route 53 simple routing policy
  B. An Amazon Route 53 multivalue answer routing policy
  C. An Application Load Balancer in one Region with a target group that specifies the EC2 instance IDs from both Regions
  D. An Application Load Balancer in one Region with a target group that specifies the IP addresses of the EC2 instances from both Regions
  B. An Amazon Route 53 multivalue answer routing policy

• Question 1112:

  A company currently stores 5 TB of data in on-premises block storage systems. The company's current storage solution provides limited space for additional data. The company runs applications on premises that must be able to retrieve frequently accessed data with low latency. The company requires a cloud-based storage solution.

  Which solution will meet these requirements with the MOST operational efficiency?

  A. Use Amazon S3 File Gateway. Integrate S3 File Gateway with the on-premises applications to store and directly retrieve files by using the SMB file system.
  B. Use an AWS Storage Gateway Volume Gateway with cached volumes as iSCSI targets.
  C. Use an AWS Storage Gateway Volume Gateway with stored volumes as iSCSI targets.
  D. Use an AWS Storage Gateway Tape Gateway. Integrate Tape Gateway with the on-premises applications to store virtual tapes in Amazon S3.
  B. Use an AWS Storage Gateway Volume Gateway with cached volumes as iSCSI targets.

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  Explanation

• Question 1113:

  A company needs to configure a real-time data ingestion architecture for its application. The company needs an API, a process that transforms data as the data is streamed, and a storage solution for the data.

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

  A. Deploy an Amazon EC2 instance to host an API that sends data to an Amazon Kinesis data stream. Create an Amazon Kinesis Data Firehose delivery stream that uses the Kinesis data stream as a data source. Use AWS Lambda functions to transform the data. Use the Kinesis Data Firehose delivery stream to send the data to Amazon S3.
  B. Deploy an Amazon EC2 instance to host an API that sends data to AWS Glue. Stop source/destination checking on the EC2 instance. Use AWS Glue to transform the data and to send the data to Amazon S3.
  C. Configure an Amazon API Gateway API to send data to an Amazon Kinesis data stream. Create an Amazon Kinesis Data Firehose delivery stream that uses the Kinesis data stream as a data source. Use AWS Lambda functions to transform the data. Use the Kinesis Data Firehose delivery stream to send the data to Amazon S3.
  D. Configure an Amazon API Gateway API to send data to AWS Glue. Use AWS Lambda functions to transform the data. Use AWS Glue to send the data to Amazon S3.
  C. Configure an Amazon API Gateway API to send data to an Amazon Kinesis data stream. Create an Amazon Kinesis Data Firehose delivery stream that uses the Kinesis data stream as a data source. Use AWS Lambda functions to transform the data. Use the Kinesis Data Firehose delivery stream to send the data to Amazon S3.

• Question 1114:

  A global ecommerce company is designing a three-tier application on AWS. The application includes a web tier that serves static content, an application tier that handles business logic, and a database tier that stores product information and user data. The application interacts with a relational database.

  The company needs a highly available application architecture to serve global users with low latency, with the least operational overhead.

  Which solution will meet these requirements?

  A. Deploy Amazon EC2 instances in an Auto Scaling group for the application tier and web tier in a single AWS Region. Use an Application Load Balancer to distribute web traffic. Use an Amazon RDS database and Multi-AZ deployments for the database tier.
  B. Set up an Amazon CloudFront distribution that uses an Amazon S3 bucket as the origin. Use Amazon Elastic Container Service (Amazon ECS) containers on AWS Fargate to deploy the application tier to each AWS Region where the company operates. Use an Amazon Aurora global database for the database tier.
  C. Use an Amazon S3 bucket to store the static web content. Use Amazon EC2 Auto Scaling and EC2 Spot Instances for the application tier. Use Amazon RDS for MySQL with read replicas for the database tier. Use AWS Database Migration Service (AWS DMS) to replicate data to secondary AWS Regions.
  D. Use an Amazon S3 bucket to store static web content. Use AWS Lambda functions to handle serverless backend logic in the application tier. Use Amazon API Gateway to invoke the Lambda functions for web requests. Use an Amazon DynamoDB database for the database tier. Deploy the DynamoDB database across multiple AWS Regions.
  B. Set up an Amazon CloudFront distribution that uses an Amazon S3 bucket as the origin. Use Amazon Elastic Container Service (Amazon ECS) containers on AWS Fargate to deploy the application tier to each AWS Region where the company operates. Use an Amazon Aurora global database for the database tier.

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  Explanation

  AWS guidance for global, highly available, low-latency applications using a relational database recommends:

  Amazon CloudFront with Amazon S3 for static content to cache data at edge locations globally and minimize latency for static assets.

  A regional application tier deployed close to users using managed container services such as Amazon ECS on AWS Fargate, which removes the need to manage servers and scales automatically, reducing operational overhead.

  A relational database tier using Amazon Aurora global database, which is purpose-built for globally distributed applications. Aurora global database provides a primary cluster in one Region with low-latency read replicas in secondary Regions and fast cross-Region replication, enabling low-latency reads and high availability for global users.

  Option A uses only a single Region, which does not meet the "global users with low latency" requirement.

  Option C uses RDS and DMS-based replication, which requires more management and does not provide Aurora's integrated global database features.

  Option D replaces the relational database with DynamoDB, which violates the requirement that the application interacts with a relational database.

• Question 1115:

  An events company runs a web application on Amazon EKS that uses an Amazon DynamoDB table. The table has 1,000 RCUs and 500 WCUs provisioned. The application uses eventually consistent reads.

  Traffic is usually low but occasionally spikes. During spikes, DynamoDB throttles requests, causing user-facing errors.

  What should a solutions architect do to reduce these errors?

  A. Change the DynamoDB table to on-demand capacity mode.
  B. Create a DynamoDB read replica.
  C. Purchase DynamoDB reserved capacity.
  D. Use strongly consistent reads.
  A. Change the DynamoDB table to on-demand capacity mode.

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  Explanation

  The application experiences unpredictable traffic spikes, which exceed the provisioned read and write capacity of the DynamoDB table, resulting in throttling errors. This is a classic scenario where on-demand capacity mode is the most appropriate solution.

  Option A is correct because DynamoDB on-demand capacity automatically scales to handle sudden increases in traffic without requiring capacity planning. This eliminates throttling during unpredictable spikes and removes the operational burden of managing RCUs and WCUs. On-demand mode is particularly well-suited for workloads with variable or spiky access patterns.

  Option B is incorrect because DynamoDB does not support read replicas in the same way as relational databases.

  Option C reduces cost for predictable workloads but does not prevent throttling if capacity limits are exceeded.

  Option D increases read cost and does not address capacity constraints.

  Therefore, A is the best solution to improve resilience, eliminate throttling errors, and ensure a smooth user

  experience during traffic surges.

• Question 1116:

  A company runs a web application on Amazon EC2 instances in an Auto Scaling group behind an Application Load Balancer that has sticky sessions enabled. The web server currently hosts the user session state. The company wants to ensure high availability and avoid user session state loss in the event of a web server outage.

  Which solution will meet these requirements?

  A. Use an Amazon ElastiCache for Memcached instance to store the session data. Update the application to use ElastiCache for Memcached to store the session state.
  B. Use Amazon ElastiCache for Redis to store the session state. Update the application to use ElastiCache for Redis to store the session state.
  C. Use an AWS Storage Gateway cached volume to store session data. Update the application to use AWS Storage Gateway cached volume to store the session state.
  D. Use Amazon RDS to store the session state. Update the application to use Amazon RDS to store the session state.
  B. Use Amazon ElastiCache for Redis to store the session state. Update the application to use ElastiCache for Redis to store the session state.

• Question 1117:

  A company has five organizational units (OUs) as part of its organization in AWS Organizations. Each OU correlates to the five businesses that the company owns. The company's research and development (R&D) business is separating from the company and will need its own organization. A solutions architect creates a separate new management account for this purpose.

  What should the solutions architect do next in the new management account?

  A. Have the R&D AWS account be part of both organizations during the transition.
  B. Invite the R&D AWS account to be part of the new organization after the R&D AWS account has left the prior organization.
  C. Create a new R&D AWS account in the new organization. Migrate resources from the prior R&D AWS account to the new R&D AWS account.
  D. Have the R&D AWS account join the new organization. Make the new management account a member of the prior organization.
  B. Invite the R&D AWS account to be part of the new organization after the R&D AWS account has left the prior organization.

• Question 1118:

  A company is building a critical data processing application that will run on Amazon EC2 instances. The company must not run any two nodes on the same underlying hardware. The company requires at least 99.99% availability for the application.

  Which solution will meet these requirements?

  A. Deploy the application to one Availability Zone by using a cluster placement group strategy.
  B. Deploy the application to three Availability Zones by using a spread placement group strategy.
  C. Deploy the application to three Availability Zones by using a cluster placement group strategy.
  D. Deploy the application to one Availability Zone by using a partition placement group strategy.
  B. Deploy the application to three Availability Zones by using a spread placement group strategy.

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  Explanation

  A spread placement group is designed to deploy each instance on distinct underlying hardware, reducing the risk of simultaneous failures. By spreading instances across multiple Availability Zones, you achieve high availability and fault tolerance, meeting the 99.99% uptime requirement. Spread placement groups are ideal for critical applications that require maximum resilience to single hardware failures. Neither cluster nor partition strategies offer the same guarantee of separation combined with cross-AZ distribution.

  Reference Extract from AWS Documentation /

  Study Guide: " Spread placement groups are recommended for applications that have a small number of critical instances that should be kept separate from each other. Instances in a spread placement group are placed on distinct underlying hardware, and when deployed across multiple Availability Zones, provide high availability. "

  Source: AWS Certified Solutions Architect?Official Study Guide, Compute and High Availability section;

  Amazon EC2 Placement Groups Documentation.

• Question 1119:

  A company needs guaranteed Amazon EC2 capacity in three specific Availability Zones in a specific AWS Region for an upcoming event that will last 1 week.

  What should the company do to guarantee the EC2 capacity?

  A. Purchase Reserved Instances that specify the Region needed.
  B. Create an On-Demand Capacity Reservation that specifies the Region needed.
  C. Purchase Reserved Instances that specify the Region and three Availability Zones needed.
  D. Create an On-Demand Capacity Reservation that specifies the Region and three Availability Zones needed.
  D. Create an On-Demand Capacity Reservation that specifies the Region and three Availability Zones needed.

• Question 1120:

  An ecommerce company has an order-processing application that uses Amazon API Gateway and an AWS Lambda function. The application stores data in an Amazon Aurora PostgreSQL database. During a recent sales event, a sudden surge in customer orders occurred. Some customers experienced timeouts, and the application did not process the orders of those customers.

  A solutions architect determined that the CPU utilization and memory utilization were high on the database because of a large number of open connections. The solutions architect needs to prevent the timeout errors while making the least possible changes to the application.

  Which solution will meet these requirements?

  A. Configure provisioned concurrency for the Lambda function. Modify the database to be a global database in multiple AWS Regions.
  B. Use Amazon RDS Proxy to create a proxy for the database. Modify the Lambda function to use the RDS Proxy endpoint instead of the database endpoint.
  C. Create a read replica for the database in a different AWS Region. Use query string parameters in API Gateway to route traffic to the read replica.
  D. Migrate the data from Aurora PostgreSQL to Amazon DynamoDB by using AWS Database Migration Service (AWS DMS). Modify the Lambda function to use the DynamoDB table.
  B. Use Amazon RDS Proxy to create a proxy for the database. Modify the Lambda function to use the RDS Proxy endpoint instead of the database endpoint.