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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q92-Q97):

NEW QUESTION # 92
A company has migrated an application to Amazon EC2 Linux instances. One of these EC2 instances runs several 1-hour tasks on a schedule. These tasks were written by different teams and have no common programming language. The company is concerned about performance and scalability while these tasks run on a single instance. A solutions architect needs to implement a solution to resolve these concerns.
Which solution will meet these requirements with the LEAST operational overhead?

A. Copy the tasks into AWS Lambda functions. Schedule the Lambda functions by using Amazon EventBridge (Amazon CloudWatch Events).
B. Create an Amazon Machine Image (AMI) of the EC2 instance that runs the tasks. Create an Auto Scaling group with the AMI to run multiple copies of the instance.
C. Create an Amazon Machine Image (AMI) of the EC2 instance that runs the tasks. Create an Auto Scaling group with the AMI to run multiple copies of the instance. This solution will not meet the requirement of low operational overhead, as it involves creating and maintaining AMIs and Auto Scaling groups, which are additional resources that need to be configured and managed2.
D. Convert the EC2 instance to a container. Use AWS App Runner to create the container on demand to run the tasks as jobs.
E. Use AWS Batch to run the tasks as jobs. Schedule the jobs by using Amazon EventBridge (Amazon CloudWatch Events).

Answer: E

Explanation:
Reference URL: https://docs.aws.amazon.com/whitepapers/latest/aws-overview/compute-services.html Explanation:
AWS Batch is a fully managed service that enables users to run batch jobs on AWS. It can handle different types of tasks written in different languages and run them on EC2 instances. It also integrates with Amazon EventBridge (Amazon CloudWatch Events) to schedule jobs based on time or event triggers. This solution will meet the requirements of performance, scalability and low operational overhead12.
B: Convert the EC2 instance to a container. Use AWS App Runner to create the container on demand to run the tasks as jobs. This solution will not meet the requirement of low operational overhead, as it involves converting the EC2 instance to a container and using AWS App Runner, which is a service that automatically builds and deploys web applications and load balances traffic2. This is not necessary for running batch jobs.
C: Copy the tasks into AWS Lambda functions. Schedule the Lambda functions by using Amazon EventBridge (Amazon CloudWatch Events). This solution will not meet the requirement of performance, as AWS Lambda has a limit of 15 minutes for execution time and 10 GB for memory allocation3. These limits may not be sufficient for running 1-hour tasks.

NEW QUESTION # 93
[Design Secure Architectures]
A company wants to add its existing AWS usage cost to its operation cost dashboard A solutions architect needs to recommend a solution that will give the company access to its usage cost programmatically. The company must be able to access cost data for the current year and forecast costs for the next 12 months.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create AWS Budgets reports for usage cost data Send the data to the company through SMTP.
B. Access usage cost-related data by using downloadable AWS Cost Explorer report csv files.
C. Configure AWS Budgets actions to send usage cost data to the company through FTP.
D. Access usage cost-related data by using the AWS Cost Explorer API with pagination.

Answer: D

Explanation:
Understanding the Requirement: The company needs programmatic access to its AWS usage costs for the current year and cost forecasts for the next 12 months, with minimal operational overhead.
Analysis of Options:
AWS Cost Explorer API: Provides programmatic access to detailed usage and cost data, including forecast costs. It supports pagination for handling large datasets, making it an efficient solution.
Downloadable AWS Cost Explorer report csv files: While useful, this method requires manual handling of files and does not provide real-time access.
AWS Budgets actions via FTP: This is less suitable as it involves setting up FTP transfers and does not provide the same level of detail and real-time access as the API.
AWS Budgets reports via SMTP: Similar to FTP, this method involves additional setup and lacks the real-time access and detail provided by the API.
Best Option for Minimal Operational Overhead:
AWS Cost Explorer API provides direct, programmatic access to cost data, including detailed usage and forecasting, with minimal setup and operational effort. It is the most efficient solution for integrating cost data into an operational cost dashboard.
Reference:
AWS Cost Explorer API
AWS Cost and Usage Reports

NEW QUESTION # 94
An Auto Scaling group (ASG) of Linux EC2 instances has an Amazon FSx for OpenZFS file system with basic monitoring enabled in CloudWatch. The Solutions Architect noticed that the legacy web application hosted in the ASG takes a long time to load. After checking the instances, the Architect noticed that the ASG is not launching more instances as it should be, even though the servers already have high memory usage.
Which of the following options should the Architect implement to solve this issue?

A. Install the CloudWatch unified agent to the EC2 instances. Set up a custom parameter in AWS Systems Manager Parameter Store with the CloudWatch agent configuration to create an aggregated metric on memory usage percentage. Scale the Auto Scaling group based on the aggregated metric.
B. Set up Amazon Rekognition to automatically identify and recognize the cause of the high memory usage. Use the AWS Well-Architected Tool to automatically trigger the scale-out event in the ASG based on the overall memory usage.
C. Implement an AI solution that leverages Amazon Comprehend to track the near-real-time memory usage of each and every EC2 instance? Use Amazon SageMaker to automatically trigger the Auto Scaling event if there is high memory usage.
D. Enable detailed monitoring on the Amazon EC2 instances of the Auto Scaling group. Use Amazon Forecast to automatically scale out the Auto Scaling group based on the aggregated memory usage of Amazon EC2 instances.

Answer: A

Explanation:
Amazon CloudWatch agent enables you to collect both system metrics and log files from Amazon EC2 instances and on-premises servers. The agent supports both Windows Server and Linux and allows you to select the metrics to be collected, including sub-resource metrics such as per-CPU core.

The premise of the scenario is that the EC2 servers have high memory usage, but since this specific metric is not tracked by the Auto Scaling group by default, the scaling out activity is not being triggered.
Remember that by default, CloudWatch doesn't monitor memory usage but only the CPU utilization, Network utilization, Disk performance, and Disk Reads/Writes.
This is the reason why you have to install a CloudWatch agent in your EC2 instances to collect and monitor the custom metric (memory usage), which will be used by your Auto Scaling Group as a trigger for scaling activities.
The AWS Systems Manager Parameter Store is one of the capabilities of AWS Systems Manager. It provides secure, hierarchical storage for configuration data management and secrets management. You can store data such as passwords, database strings, Amazon Machine Image (AMI) IDs, and license codes as parameter values. You can store values as plain text or encrypted data. You can reference Systems Manager parameters in your scripts, commands, SSM documents, and configuration and automation workflows by using the unique name that you specified when you created the parameter.
Hence, the correct answer is: Install the CloudWatch unified agent to the EC2 instances. Set up a custom parameter in AWS Systems Manager Parameter Store with the CloudWatch agent configuration to create an aggregated metric on memory usage percentage. Scale the Auto Scaling group based on the aggregated metric The option that says: Implement an AI solution that leverages Amazon Comprehend to track the near- real-time memory usage of each and every EC2 instance? Use Amazon SageMaker to automatically trigger the Auto Scaling event if there is high memory usage is incorrect because Amazon Comprehend cannot track near-real-time memory usage in Amazon EC2. This is just a natural-language processing (NLP) service that uses machine learning to uncover valuable insights and connections in text. Also, the use of an Amazon SageMaker in this scenario is not warranted since there is no machine learning requirement involved.
The option that says: Enable detailed monitoring on the Amazon EC2 instances of the Auto Scaling group. Use Amazon Forecast to automatically scale out the Auto Scaling group based on the aggregated memory usage of Amazon EC2 instances is incorrect because detailed monitoring does not provide metrics for memory usage. CloudWatch does not monitor memory usage in its default set of EC2 metrics and detailed monitoring just provides a higher frequency of metrics (1-minute frequency). Amazon Forecast is a time-series forecasting service based on machine learning (ML) and built for business metrics analysis - not for scaling out an Auto Scaling group based on an aggregated metfic.
The option that says: Set up Amazon Rekognition to automatically identify and recognize the cause of the high memory usage. Use the AWS Well-Architected Tool to automatically trigger the scale-out event in the ASG based on the overall memory usage is incorrect because Amazon Rekognition is simply an image recognition service that detects objects, scenes, and faces; extracts text; recognizes celebrities; and identifies inappropriate content in images. It can't be used to track the high memory usage of your Amazon EC2 instances. The AWS Well-Architected Tool, on the other hand, is designed to help you review the state of your applications and workloads. It merely provides a central place for architectural best practices in AWS and nothing more.
References:
https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/Install-CloudWatch-Agent.html
https://aws.amazon.com/blogs/mt/create-amazon-ec2-auto-scaling-policy-memory-utilization-metric-linux
/
https://docs.aws.amazon.com/systems-manager/latest/userguide/systems-manager-parameter-store.htm l Check out these Amazon EC2 and CloudWatch Cheat Sheets: https://tutorialsdojo.com/amazon-elastic- compute-cloud-amazon-ec2/ https://tutorialsdojo.com/amazon-cloudwatch/

NEW QUESTION # 95
A company uses a popular content management system (CMS) for its corporate website. However, the required patching and maintenance are burdensome. The company is redesigning its website and wants anew solution. The website will be updated four times a year and does not need to have any dynamic content available. The solution must provide high scalability and enhanced security.
Which combination of changes will meet these requirements with the LEAST operational overhead? (Choose two.)

A. Create the new website. Deploy the website by using an Auto Scaling group of Amazon EC2 instances behind an Application Load Balancer.
B. Create and deploy an AWS Lambda function to manage and serve the website content
C. Create the new website and an Amazon S3 bucket Deploy the website on the S3 bucket with static website hosting enabled
D. Deploy an AWS WAF web ACL in front of the website to provide HTTPS functionality

Answer: A,D

Explanation:
A -> We can configure CloudFront to require HTTPS from clients (enhanced security) https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/using-https-viewers-to-cloudfront.html D -> storing static website on S3 provides scalability and less operational overhead, then configuration of Application LB and EC2 instances (hence E is out)

NEW QUESTION # 96
[Design Cost-Optimized Architectures]
A company generates approximately 20 GB of data multiple times each day. The company uses AWS DataSync to copy all data from on-premises storage to Amazon S3 every 6 hours for further processing. The analytics team wants to modify the copy process to copy only data relevant to the analytics team and ignore the rest of the dat a. The team wants to copy data as soon as possible and receive a notification when the copy process is finished. Which combination of steps will meet these requirements MOST cost-effectively? (Select THREE.)

A. Modify the data generation process on-premises to create a manifest file at the end of the copy process with the names of the objects to be copied to Amazon S3. Create an AWS Lambda function to load the manifest file data into an Amazon DynamoDB table.
B. Modify the data generation process on-premises to create a manifest file at the end of the copy process with the names of the objects to be copied to Amazon S3. Create a custom script to upload the manifest file to an S3 bucket.
C. Create an Amazon Simple Notification Service (Amazon SNS) topic. Create an Amazon EventBridge rule to send an email notification to the SNS topic when the DataSync task execution status changes to SUCCESS or to ERROR.
D. Create an Amazon Simple Notification Service (Amazon SNS) topic. Create an AWS Lambda function to send an email notification to the SNS topic when the DataSync task execution status changes to SUCCESS or to ERROR.
E. Create an AWS Lambda function that an S3 Event Notification invokes when the manifest file is uploaded. Configure the Lambda function to invoke the DataSync task by calling the StartTaskExecution API action with a manifest.
F. Create an AWS Lambda function that Amazon EventBridge invokes when the manifest file is loaded into Amazon DynamoDB. Configure the Lambda function to copy the data from on-premises storage to the S3 bucket that uses the manifest file.

Answer: B,C,E

Explanation:
Comprehensive and Detailed Step-by-Step
To meet the requirements of copying only relevant data as soon as possible and receiving notifications upon completion, the following steps are recommended:
Generate a Manifest File (Option A):
Action:Modify the on-premises data generation process to create a manifest file at the end of each data generation cycle. This manifest should list the names of the objects that need to be copied to Amazon S3.
Implementation:Develop a custom script that runs after data generation. This script compiles the list of relevant data files into a manifest file and uploads it to a designated S3 bucket.
Justification:Using a manifest allows AWS DataSync to transfer only the specified files, reducing unnecessary data transfer and associated costs.
docs.aws.amazon.com
Automate DataSync Task Execution (Option D):
Action:Set up an S3 Event Notification to trigger an AWS Lambda function whenever a new manifest file is uploaded to the S3 bucket.
Implementation:Configure the Lambda function to invoke the DataSync task by calling the StartTaskExecution API action, specifying the manifest file. This ensures that only the files listed in the manifest are copied from on-premises storage to Amazon S3.
Justification:This automation ensures timely data transfer as soon as relevant data is available, minimizing delays and manual intervention.
docs.aws.amazon.com
Set Up Completion Notifications (Option E):
Action:Create an Amazon SNS topic to handle notifications. Then, establish an Amazon EventBridge rule that monitors the DataSync task execution status and sends an email notification to the SNS topic when the status changes to SUCCESS or ERROR.
Implementation:Configure EventBridge to capture state changes of the DataSync task. When a task completes successfully or encounters an error, EventBridge triggers a notification to the SNS topic, which then sends an email to the subscribed recipients.
Justification:This setup provides immediate feedback on the data transfer process, allowing the analytics team to act promptly based on the success or failure of the data copy operation.
docs.aws.amazon.com
Reference:
AWS DataSync User Guide:Transferring specific files or objects by using a manifest AWS DataSync API Reference:StartTaskExecution Amazon EventBridge User Guide:Creating an EventBridge rule that triggers on an AWS API call Amazon SNS User Guide:Sending Amazon SNS messages to HTTP/HTTPS endpoints

NEW QUESTION # 97
......

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SAA-C03 Reliable Exam Tips - Valid SAA-C03 Exam Syllabus

Valid SAA-C03 Exam Syllabus - SAA-C03 Reliable Exam Price

Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q92-Q97):

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