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Amazon SAA-C03 Exam consists of multiple-choice and multiple-response questions. SAA-C03 exam covers a wide variety of topics, including AWS core services, security, database, networking, compute, and storage. Candidates are required to have a deep understanding of AWS services and their integration with each other to create solutions that meet specific business needs. In addition, candidates are expected to have experience with AWS best practices and the ability to identify and resolve common issues that arise when working with AWS.
Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q139-Q144):
NEW QUESTION # 139
A company runs a production application on a fleet of Amazon EC2 instances. The application reads the data from an Amazon SQS queue and processes the messages in parallel. The message volume is unpredictable and often has intermittent traffic. This application should continually process messages without any downtime.
Which solution meets these requirements MOST cost-effectively?
- A. Use Reserved Instances for the baseline capacity and use On-Demand Instances to handle additional capacity.
- B. Use Reserved Instances for the baseline capacity and use Spot Instances to handle additional capacity.
- C. Use Spot Instances exclusively to handle the maximum capacity required.
- D. Use Reserved Instances exclusively to handle the maximum capacity required.
Answer: A
Explanation:
We recommend that you use On-Demand Instances for applications with short-term, irregular workloads that cannot be interrupted. https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-on-demand-instances.html
NEW QUESTION # 140
A company is developing a two-tier web application on AWS. The company's developers have deployed the application on an Amazon EC2 instance that connects directly to a backend Amazon RDS database. The company must not hardcode database credentials in the application. The company must also implement a solution to automatically rotate the database credentials on a regular basis.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Store the database credentials as a secret in AWS Secrets Manager. Turn on automatic rotation for the secret. Attach the required permission to the EC2 role to grant access to the secret.
- B. Store the database credentials as encrypted parameters in AWS Systems Manager Parameter Store. Turn on automatic rotation for the encrypted parameters. Attach the required permission to the EC2 role to grant access to the encrypted parameters.
- C. Store the database credentials in a configuration file in an encrypted Amazon S3 bucket. Use Amazon EventBridge (Amazon CloudWatch Events) rules to run a scheduled AWS Lambda function that updates the RDS credentials and the credentials in the configuration file at the same time. Use S3 Versioning to ensure the ability to fall back to previous values.
- D. Store the database credentials in the instance metadata. Use Amazon EventBridge (Amazon CloudWatch Events) rules to run a scheduled AWS Lambda function that updates the RDS credentials and instance metadata at the same time.
Answer: A
NEW QUESTION # 141
A construction company has an online system that tracks all of the status and progress of their projects. The system is hosted in AWS and there is a requirement to monitor the read and write IOPs metrics for their MySQL RDS instance and send real-time alerts to their DevOps team.
Which of the following services in AWS can you use to meet the requirements? (Select TWO.)
- A. Route 53
- B. Amazon Simple Queue Service
- C. CloudWatch
- D. Amazon Simple Notification Service
- E. SWF
Answer: C,D
Explanation:
In this scenario, you can use CloudWatch to monitor your AWS resources and SNS to provide notification. Hence, the correct answers are CloudWatch and Amazon Simple Notification Service.
Amazon Simple Notification Service (SNS) is a flexible, fully managed pub/sub messaging and mobile notifications service for coordinating the delivery of messages to subscribing endpoints and clients.
Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS. You can use Amazon CloudWatch to collect and track metrics, collect and monitor log files, set alarms, and automatically react to changes in your AWS resources.
SWF is incorrect because this is mainly used for managing workflows and not for monitoring and notifications.
Amazon Simple Queue Service is incorrect because this is a messaging queue service and not suitable for this kind of scenario.
Route 53 is incorrect because this is primarily used for routing and domain name registration and management.
References:
http://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CW_Support_For_AWS.html
https://aws.amazon.com/sns/
Check out this Amazon CloudWatch Cheat Sheet:
https://tutorialsdojo.com/amazon-cloudwatch/
NEW QUESTION # 142
A company runs a three-tier web application in the AWS Cloud that operates across three Availability Zones.
The application architecture has an Application Load Balancer, an Amazon EC2 web server that hosts user session states, and a MySQL database that runs on an EC2 instance. The company expects sudden increases in application traffic. The company wants to be able to scale to meet future application capacity demands and to ensure high availability across all three Availability Zones.
Which solution will meet these requirements?
- A. Migrate the MySQL database to Amazon RDS for MySQL with a Multi-AZ DB cluster deployment.
Use Amazon ElastiCache for Memcached with high availability to store session data and to cache reads.
Migrate the web server to an Auto Scaling group that is in three Availability Zones. - B. Migrate the MySQL database to Amazon RDS for MySQL in a single Availability Zone. Use Amazon ElastiCache for Redis with high availability to store session data and to cache reads. Migrate the web server to an Auto Scaling group that is in three Availability Zones.
- C. Migrate the MySQL database to Amazon DynamoDB. Use DynamoDB Accelerator (DAX) to cache reads. Store the session data in DynamoDB. Migrate the web server to an Auto Scaling group that is in three Availability Zones.
- D. Migrate the MySQL database to Amazon RDS for MySQL with a Multi-AZ DB cluster deployment.
Use Amazon ElastiCache for Redis with high availability to store session data and to cache reads.
Migrate the web server to an Auto Scaling group that is in three Availability Zones.
Answer: D
Explanation:
Explanation
This answer is correct because it meets the requirements of scaling to meet future application capacity demands and ensuring high availability across all three Availability Zones. By migrating the MySQL database to Amazon RDS for MySQL with a Multi-AZ DB cluster deployment, the company can benefit from automatic failover, backup, and patching of the database across multiple Availability Zones. By using Amazon ElastiCache for Redis with high availability, the company can store session data and cache reads in a fast, in-memory data store that can also fail over across Availability Zones. By migrating the web server to an Auto Scaling group that is in three Availability Zones, the company can automatically scale the web server capacity based on the demand and traffic patterns.
References:
* https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZ.html
* https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/AutoFailover.html
* https://docs.aws.amazon.com/autoscaling/ec2/userguide/what-is-amazon-ec2-auto-scaling.html
NEW QUESTION # 143
A company uses an AWS Transfer for SFTP public server endpoint and Amazon S3 storage to host large datasets for its customers. The company provides customers SSH private keys to authenticate and download their datasets. The Transfer for SFTP server is configured with structured logging that is saved to an S3 bucket. The company wants to charge customers based on their monthly data download usage. Which solution will meet these requirements?
- A. Configure VPC Flow Logs to write to a new S3 bucket. Run monthly queries on the flow logs to identify customer usage and calculate cost. Add the charges to the customers' monthly bills.
- B. Run Amazon Athena queries on the logging S3 bucket monthly to identify customer usage and calculate costs. Add the charges to the customers' monthly bills.
- C. Each month, use AWS Cost Explorer to examine the costs for Transfer for SFTP and obtain a breakdown by customer. Add the charges to the customers' monthly bills.
- D. Enable requester pays on the S3 bucket that hosts the software. Allocate the charges to each customer based on the customer's requests.
Answer: B
Explanation:
Comprehensive and Detailed Step-by-Step Explanation:
To accurately charge customers based on their monthly data download usage, the following solution is recommended:
* Structured Logging Configuration:
* Action:Ensure that the AWS Transfer for SFTP server is configured to log user activity, including details about file downloads, to Amazon S3 in a structured format.
* Implementation:Utilize AWS Transfer Family's structured logging feature to capture detailed information about user sessions, including actions performed and data transferred.
docs.aws.amazon.com
* Justification:Structured logs provide comprehensive data necessary for analyzing customer- specific download activities.
* Data Analysis with Amazon Athena:
* Action:Use Amazon Athena to run SQL queries on the structured log data stored in the S3 bucket to calculate the amount of data each customer has downloaded.
* Implementation:
* a.Define a Schema:Create a table in Athena that maps to the structure of your log files.
This involves specifying the format of the logs and the location in S3.
* b.Query Data:Write SQL queries to sum the total bytes downloaded by each customer over the billing period. This can be achieved by filtering logs based on user identifiers and summing the data transfer amounts.
* Justification:Athena allows for efficient querying
NEW QUESTION # 144
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