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Amazon Web Services SAA-C03 Exam Sample Questions


Question # 1

An ecommerce company runs Its application on AWS. The application uses an Amazon Aurora PostgreSQL cluster in Multi-AZ mode for the underlying database. During a recent promotional campaign, the application experienced heavy read load and write load. Users experienced timeout issues when they attempted to access the application. A solutions architect needs to make the application architecture more scalable and highly available. Which solution will meet these requirements with the LEAST downtime?
A. Create an Amazon EventBndge rule that has the Aurora cluster as a source. Create an AWS Lambda function to log the state change events of the Aurora cluster. Add the Lambda function as a target for the EventBndge rule Add additional reader nodes to fail over to.
B. Modify the Aurora cluster and activate the zero-downtime restart (ZDR) feature. Use Database Activity Streams on the cluster to track the cluster status.
C. Add additional reader instances to the Aurora cluster Create an Amazon RDS Proxy target group for the Aurora cluster.
D. Create an Amazon ElastiCache for Redis cache. Replicate data from the Aurora cluster to Redis by using AWS Database Migration Service (AWS DMS) with a write-around approach.


C. Add additional reader instances to the Aurora cluster Create an Amazon RDS Proxy target group for the Aurora cluster.
Explanation: This solution directly addresses the scalability and high availability requirements with minimal downtime. Additional Reader Instances: Adding more reader instances to the Aurora cluster will distribute the read load, improving the performance of the application under heavy read traffic. Aurora reader instances automatically replicate the data from the writer instance, enabling you to scale out read operations. Amazon RDS Proxy: RDS Proxy improves database availability by managing database connections more efficiently and providing a connection pool. This reduces the overhead on the Aurora cluster during peak loads, further enhancing performance and availability without requiring changes to the application code.




Question # 2

A company has resources across multiple AWS Regions and accounts. A newly hired solutions architect discovers a previous employee did not provide details about the resources invent^. The solutions architect needs to build and map the relationship details of the various workloads across all accounts. Which solution will meet these requirements in the MOST operationally efficient way?
A. Use AWS Systems Manager Inventory to generate a map view from the detailed view report.
B. Use AWS Step Functions to collect workload details Build architecture diagrams of the workloads manually.
C. Use Workload Discovery on AWS to generate architecture diagrams of the workloads.
D. Use AWS X-Ray to view the workload details Build architecture diagrams with relationships


C. Use Workload Discovery on AWS to generate architecture diagrams of the workloads.
Explanation: Workload Discovery on AWS (formerly called AWS Perspective) is a tool that visualizes AWS Cloud workloads. It maintains an inventory of the AWS resources across your accounts and Regions, mapping relationships between them, and displaying them in a web UI. It also allows you to query AWS Cost and Usage Reports, search for resources, save and export architecture diagrams, and more1. By using Workload Discovery on AWS, the solution can build and map the relationship details of the various workloads across all accounts with the least operational effort. Use AWS Systems Manager Inventory to generate a map view from the detailed view report. This solution will not meet the requirement of building and mapping the relationship details of the various workloads across all accounts, as AWS Systems Manager Inventory is a feature that collects metadata from your managed instances and stores it in a central Amazon S3 bucket. It does not provide a map view or architecture diagrams of the workloads2. Use AWS Step Functions to collect workload details Build architecture diagrams of the work-loads manually. This solution will not meet the requirement of the least operational effort, as it involves creating and managing state machines to orchestrate the workload details collection, and building architecture diagrams manually. Use AWS X-Ray to view the workload details Build architecture diagrams with relationships. This solution will not meet the requirement of the least operational effort, as it involves instrumenting your applications with X-Ray SDKs to collect workload details, and building architecture diagrams manually.




Question # 3

An application development team is designing a microservice that will convert large images to smaller, compressed images. When a user uploads an image through the web interface, the microservice should store the image in an Amazon S3 bucket, process and compress the image with an AWS Lambda function, and store the image in its compressed form in a different S3 bucket.

A solutions architect needs to design a solution that uses durable, stateless components to process the images automatically.

Which combination of actions will meet these requirements? (Choose two.)
A. Create an Amazon Simple Queue Service (Amazon SQS) queue Configure the S3 bucket to send a notification to the SQS queue when an image is uploaded to the S3 bucket
B. Configure the Lambda function to use the Amazon Simple Queue Service (Amazon SQS) queue as the invocation source When the SQS message is successfully processed, delete the message in the queue
C. Configure the Lambda function to monitor the S3 bucket for new uploads When an uploaded image is detected write the file name to a text file in memory and use the text file to keep track of the images that were processed
D. Launch an Amazon EC2 instance to monitor an Amazon Simple Queue Service (Amazon SQS) queue When items are added to the queue log the file name in a text file on the EC2 instance and invoke the Lambda function
E. Configure an Amazon EventBridge (Amazon CloudWatch Events) event to monitor the S3 bucket When an image is uploaded. send an alert to an Amazon Simple Notification Service (Amazon SNS) topic with the application owner's email address for further processing


A. Create an Amazon Simple Queue Service (Amazon SQS) queue Configure the S3 bucket to send a notification to the SQS queue when an image is uploaded to the S3 bucket
B. Configure the Lambda function to use the Amazon Simple Queue Service (Amazon SQS) queue as the invocation source When the SQS message is successfully processed, delete the message in the queue
Explanation: Creating an Amazon Simple Queue Service (SQS) queue and configuring the S3 bucket to send a notification to the SQS queue when an image is uploaded to the S3 bucket will ensure that the Lambda function is triggered in a stateless and durable manner.
Configuring the Lambda function to use the SQS queue as the invocation source, and deleting the message in the queue after it is successfully processed will ensure that the Lambda function processes the image in a stateless and durable manner.
Amazon SQS is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SQS eliminates the complexity and overhead associated with managing and operating-message oriented middleware, and empowers developers to focus on differentiating work. When new images are uploaded to the S3 bucket, SQS will trigger the Lambda function to process the image and compress it. Once the image is processed, the SQS message is deleted, ensuring that the Lambda function is stateless and durable.




Question # 4

A company is moving its data and applications to AWS during a multiyear migration project. The company wants to securely access data on Amazon S3 from the company's AWS Region and from the company's on-premises location. The data must not traverse the internet. The company has established an AWS Direct Connect connection between its Region and its on-premises location Which solution will meet these requirements?
A. Create gateway endpoints for Amazon S3. Use the gateway endpoints to securely access the data from the Region and the on-premises location.
B. Create a gateway in AWS Transit Gateway to access Amazon S3 securely from the Region and the on-premises location.
C. Create interface endpoints for Amazon S3_ Use the interface endpoints to securely access the data from the Region and the on-premises location.
D. Use an AWS Key Management Service (AWS KMS) key to access the data securely from the Region and the on-premises location.


B. Create a gateway in AWS Transit Gateway to access Amazon S3 securely from the Region and the on-premises location.
Explanation: A gateway endpoint is a gateway that is a target for a specified route in your route table, used for traffic destined to a supported AWS service1. Amazon S3 does not support gateway endpoints, only interface endpoints2. Therefore, option A is incorrect. An interface endpoint is an elastic network interface with a private IP address that serves as an entry point for traffic destined to a supported service1. An interface endpoint can provide secure access to Amazon S3 from within the Region, but not from the on-premises location. Therefore, option C is incorrect. AWS Key Management Service (AWS KMS) is a service that allows you to create and manage encryption keys to protect your data3. AWS KMS does not provide a way to access data on Amazon S3 without traversing the internet. Therefore, option D is incorrect. AWS Transit Gateway is a service that enables you to connect your Amazon Virtual Private Clouds (VPCs) and your on-premises networks to a single gateway. You can create a gateway in AWS Transit Gateway to access Amazon S3 securely from both the Region and the on-premises location using AWS Direct Connect. Therefore, option B is correct.




Question # 5

A solutions architect wants all new users to have specific complexity requirements and mandatory rotation periods tor IAM user passwords What should the solutions architect do to accomplish this?
A. Set an overall password policy for the entire AWS account
B. Set a password policy for each IAM user in the AWS account
C. Use third-party vendor software to set password requirements
D. Attach an Amazon CloudWatch rule to the Create_newuser event to set the password with the appropriate requirements


A. Set an overall password policy for the entire AWS account
Explanation: This option is the most efficient because it sets an overall password policy for the entire AWS account, which is a way to specify complexity requirements and mandatory rotation periods for IAM user passwords1. It also meets the requirement of setting a password policy for all new users, as the password policy applies to all IAM users in the account. This solution meets the requirement of setting specific complexity requirements and mandatory rotation periods for IAM user passwords. Option B is less efficient because it sets a password policy for each IAM user in the AWS account, which is not possible as password policies can only be set at the account level. Option C is less efficient because it uses third- party vendor software to set password requirements, which is not necessary as IAM provides a built-in way to set password policies. Option D is less efficient because it attaches an Amazon CloudWatch rule to the Create_newuser event to set the password with the appropriate requirements, which is not possible as CloudWatch rules cannot modify IAM user passwords.



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