Amazon SAA-C03 Online Practice Questions and Exam Preparation

Amazon SAA-C03 Online Questions & Answers

• Question 1151:

  A weather forecasting company collects temperature readings from various sensors on a continuous basis.

  An existing data ingestion process collects the readings and aggregates the readings into larger Apache Parquet files. Then the process encrypts the files by using client-side encryption with KMS managed keys (CSE-KMS). Finally, the process writes the files to an Amazon S3 bucket with separate prefixes for each calendar day.

  The company wants to run occasional SQL queries on the data to take sample moving averages for a specific calendar day.

  Which solution will meet these requirements MOST cost-effectively?

  A. Configure Amazon Athena to read the encrypted files. Run SQL queries on the data directly in Amazon S3.
  B. Use Amazon S3 Select to run SQL queries on the data directly in Amazon S3.
  C. Configure Amazon Redshift to read the encrypted files. Use Redshift Spectrum and Redshift query editor v2 to run SQL queries on the data directly in Amazon S3.
  D. Configure Amazon EMR Serverless to read the encrypted files. Use Apache SparkSQL to run SQL queries on the data directly in Amazon S3.
  A. Configure Amazon Athena to read the encrypted files. Run SQL queries on the data directly in Amazon S3.

• Question 1152:

  A company is building a serverless application to process orders from an ecommerce site. The application needs to handle bursts of traffic during peak usage hours and to maintain high availability. The orders must be processed asynchronously in the order the application receives them.

  Which solution will meet these requirements?

  A. Use an Amazon Simple Notification Service (Amazon SNS) topic to receive orders. Use an AWS Lambda function to process the orders.
  B. Use an Amazon Simple Queue Service (Amazon SQS) FIFO queue to receive orders. Use an AWS Lambda function to process the orders.
  C. Use an Amazon Simple Queue Service (Amazon SQS) standard queue to receive orders. Use AWS Batch jobs to process the orders.
  D. Use an Amazon Simple Notification Service (Amazon SNS) topic to receive orders. Use AWS Batch jobs to process the orders.
  B. Use an Amazon Simple Queue Service (Amazon SQS) FIFO queue to receive orders. Use an AWS Lambda function to process the orders.

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  Explanation

  Amazon SQS FIFO queuesensure that orders are processed in the exact order received and maintain message deduplication.

  AWS Lambdascales automatically, handling bursts and maintaining high availability in a cost-effective manner.

  Option A and D:Amazon SNS does not guarantee ordered processing.

  Option C:Standard SQS queues do not guarantee order.

  References:

  Amazon SQS FIFO Queues

• Question 1153:

  A company provides an online service for posting video content and transcoding it for use by any mobile platform. The application architecture uses Amazon Elastic File System (Amazon EFS) Standard to collect and store the videos so that multiple Amazon EC2 Linux instances can access the video content for processing. As the popularity of the service has grown over time, the storage costs have become too expensive.

  Which storage solution is MOST cost-effective?

  A. Use AWS Storage Gateway for files to store and process the video content.
  B. Use AWS Storage Gateway for volumes to store and process the video content.
  C. Use Amazon EFS for storing the video content. Once processing is complete, transfer the files to Amazon Elastic Block Store (Amazon EBS).
  D. Use Amazon S3 for storing the video content. Move the files temporarily over to an Amazon Elastic Block Store (Amazon EBS) volume attached to the server for processing.
  D. Use Amazon S3 for storing the video content. Move the files temporarily over to an Amazon Elastic Block Store (Amazon EBS) volume attached to the server for processing.

• Question 1154:

  A company is building an application composed of multiple microservices that communicate over HTTP.

  The company must deploy the application across multiple AWS Regions to meet disaster recovery requirements. The application must maintain high availability and automatic fault recovery.

  Which solution will meet these requirements?

  A. Deploy all microservices on a single large EC2 instance in one Region to simplify communication.
  B. Use AWS Fargate to run each microservice in separate containers. Deploy across multiple Availability Zones in one Region behind an Application Load Balancer.
  C. Use Amazon Route 53 with latency-based routing. Deploy microservices on Amazon EC2 instances in multiple Regions behind Application Load Balancers.
  D. Implement each microservice using AWS Lambda. Expose the microservices using an Amazon API Gateway REST API.
  C. Use Amazon Route 53 with latency-based routing. Deploy microservices on Amazon EC2 instances in multiple Regions behind Application Load Balancers.

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  Explanation

  AWS recommends multi-Region active-active architectures for applications requiring high availability, automatic failover, and disaster recovery. Route 53 latency-based routing directs users to the Region providing the lowest latency and automatically shifts traffic if Regional endpoints become unhealthy.

  Combined with Application Load Balancers and EC2-based microservices deployed in multiple Regions, this architecture delivers fault tolerance, multi-Region resiliency, and automatic recovery.

  Option D provides high availability but does not inherently provide multi-Region failover routing without additional configuration.

  Option B is single-Region.

  Option A is not resilient.

• Question 1155:

  A company has an application that serves clients that are deployed in more than 20.000 retail storefront locations around the world. The application consists of backend web services that are exposed over HTTPS on port 443. The application is hosted on Amazon EC2 instances behind an Application Load Balancer (ALB). The retail locations communicate with the web application over the public internet. The company allows each retail location to register the IP address that the retail location has been allocated by its local ISP. The company's security team recommends to increase the security of the application endpoint by restricting access to only the IP addresses registered by the retail locations.

  What should a solutions architect do to meet these requirements?

  A. Associate an AWS WAF web ACL with the ALB. Use IP rule sets on the ALB to filter traffic. Update the IP addresses in the rule to include the registered IP addresses.
  B. Deploy AWS Firewall Manager to manage the ALConfigure firewall rules to restrict traffic to the ALModify the firewall rules to include the registered IP addresses.
  C. Store the IP addresses in an Amazon DynamoDB table. Configure an AWS Lambda authorization function on the ALB to validate that incoming requests are from the registered IP addresses.
  D. Configure the network ACL on the subnet that contains the public interface of the ALB. Update the ingress rules on the network ACL with entries for each of the registered IP addresses.
  A. Associate an AWS WAF web ACL with the ALB. Use IP rule sets on the ALB to filter traffic. Update the IP addresses in the rule to include the registered IP addresses.

• Question 1156:

  A company hosts its multi-tier, public web application in the AWS Cloud. The web application runs on Amazon EC2 instances, and its database runs on Amazon RDS. The company is anticipating a large increase in sales during an upcoming holiday weekend. A solutions architect needs to build a solution to analyze the performance of the web application with a granularity of no more than 2 minutes.

  What should the solutions architect do to meet this requirement?

  A. Send Amazon CloudWatch logs to Amazon Redshift. Use Amazon QuickS ght to perform further analysis.
  B. Enable detailed monitoring on all EC2 instances. Use Amazon CloudWatch metrics to perform further analysis.
  C. Create an AWS Lambda function to fetch EC2 logs from Amazon CloudWatch Logs. Use Amazon CloudWatch metrics to perform further analysis.
  D. Send EC2 logs to Amazon S3. Use Amazon Redshift to fetch logs from the S3 bucket to process raw data for further analysis with Amazon QuickSight.
  B. Enable detailed monitoring on all EC2 instances. Use Amazon CloudWatch metrics to perform further analysis.

• Question 1157:

  A company runs its applications on Amazon EC2 instances. The company performs periodic financial assessments of its AWS costs. The company recently identified unusual spending.

  The company needs a solution to prevent unusual spending. The solution must monitor costs and notify responsible stakeholders in the event of unusual spending.

  Which solution will meet these requirements?

  A. Use an AWS Budgets template to create a zero spend budget.
  B. Create an AWS Cost Anomaly Detection monitor in the AWS Billing and Cost Management console.
  C. Create AWS Pricing Calculator estimates for the current running workload pricing details.
  D. Use Amazon CloudWatch to monitor costs and to identify unusual spending.
  B. Create an AWS Cost Anomaly Detection monitor in the AWS Billing and Cost Management console.

• Question 1158:

  A company runs a photo processing application that needs to frequently upload and download pictures from Amazon S3 buckets that are located in the same AWS Region. A solutions architect has noticed an increased cost in data transfer fees and needs to implement a solution to reduce these costs.

  How can the solutions architect meet this requirement?

  A. Deploy Amazon API Gateway into a public subnet and adjust the route table to route S3 calls through it.
  B. Deploy a NAT gateway into a public subnet and attach an endpoint policy that allows access to the S3 buckets.
  C. Deploy the application into a public subnet and allow it to route through an internet gateway to access the S3 buckets.
  D. Deploy an S3 VPC gateway endpoint into the VPC and attach an endpoint policy that allows access to the S3 buckets.
  D. Deploy an S3 VPC gateway endpoint into the VPC and attach an endpoint policy that allows access to the S3 buckets.

• Question 1159:

  A company uses an Amazon RDS MySQL database to store data for several applications. The company wants to understand use patterns for the database so the company can identify oppor-tunities to optimize costs.

  A solutions architect needs to analyze the RDS DB instance to identify right-sizing opportuni-ties.

  Which solution will meet these requirements with the LEAST effort?

  A. Enable AWS CloudTrail data events. Use Amazon Athena to query CloudTrail events. Right-size the RDS DB instance based on the number of transactions.
  B. Enable Performance Insights for the RDS DB instance. Right-size the RDS DB instance based on the maximum CPU utilization.
  C. Enable AWS X-Ray to understand the transactions that run on the RDS DB instance. Right-size the RDS DB instance based on the number of transactions.
  D. Enable Amazon CloudWatch Logs for the applications. Aggregate the data from Cloud-Watch Logs for all the applications. Right-size the RDS DB instance based on the aggregated logs.
  B. Enable Performance Insights for the RDS DB instance. Right-size the RDS DB instance based on the maximum CPU utilization.

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  Explanation

  Amazon RDS Performance Insights is a "database performance tuning and monitoring feature" that can be enabled with a few clicks and "helps you quickly assess the load on your database" and identify bottlenecks. It surfaces key metrics, including DB load, top SQL, waits, and host metrics such as CPU utilization, which are commonly used indicators for right-sizing (up or down). This provides the lowest operational effort compared to building log pipelines or querying CloudTrail (which does not capture SQL workload characteristics). AWS X-Ray traces application requests, not database internals, and CloudWatch Logs aggregation requires custom ingestion and analysis. Enabling Performance Insights directly on the RDS instance provides actionable utilization data to right-size with minimal setup.

  References:

  Amazon RDS User Guide -- Performance Insights overview, metrics and dashboards

  Well-Architected

  Cost Optimization (measure and monitor, right-size resources).

• Question 1160:

  A company hosts a database that runs on an Amazon RDS instance deployed to multiple Availability Zones. A periodic script negatively affects a critical application by querying the database.

  How can application performance be improved with minimal costs?

  A. Add functionality to the script to identify the instance with the fewest active connections and query that instance.
  B. Create a read replica of the database. Configure the script to query only the read replica.
  C. Instruct the development team to manually export new entries at the end of the day.
  D. Use Amazon ElastiCache to cache the common queries the script runs.
  B. Create a read replica of the database. Configure the script to query only the read replica.

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  Explanation

  Option A introduces complexity and does not scale well.

  Option B creates a read replica, offloading read traffic from the primary RDS instance without impacting the critical application.

  Option C is manual and inefficient.

  Option D might help for caching frequently queried data but is not ideal for ad-hoc reporting.Therefore, Option B is the best choice.