SAA-C03 PDF FORMAT - LATEST SAA-C03 EXAM PRICE

SAA-C03 Pdf Format - Latest SAA-C03 Exam Price

SAA-C03 Pdf Format - Latest SAA-C03 Exam Price

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Amazon SAA-C03 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Design Resilient Architectures: This topic of the exam covers designing resilient architectures by ensuring scalability.
Topic 2
  • Design High-Performing Architectures: This section of the exam covers determining high-performing and
  • or scalable storage solutions.
Topic 3
  • Design Cost-Optimized Architectures: This section of the exam covers designing cost-optimized storage solutions.
Topic 4
  • Design Secure Architectures: This section of the exam covers designing secure access to AWS resources.

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q303-Q308):

NEW QUESTION # 303
[Design High-Performing Architectures]
A reporting team receives files each day in an Amazon S3 bucket. The reporting team manually reviews and copies the files from this initial S3 bucket to an analysis S3 bucket each day at the same time to use with Amazon QuickSight. Additional teams are starting to send more files in larger sizes to the initial S3 bucket.
The reporting team wants to move the files automatically analysis S3 bucket as the files enter the initial S3 bucket. The reporting team also wants to use AWS Lambda functions to run pattern-matching code on the copied dat a. In addition, the reporting team wants to send the data files to a pipeline in Amazon SageMaker Pipelines.
What should a solutions architect do to meet these requirements with the LEAST operational overhead?

  • A. Configure S3 replication between the S3 buckets. Create an S3 event notification for the analysis S3 bucket. Configure Lambda and SageMaker Pipelines as destinations of the event notification. Configure s30bjectCreated:Put as the event type.
  • B. Configure S3 replication between the S3 buckets. Configure the analysis S3 bucket to send event notifications to Amazon EventBridge (Amazon CloudWatch Events). Configure an ObjectCreated rule in EventBridge (CloudWatch Events). Configure Lambda and SageMaker Pipelines as targets for the rule.
  • C. Create a Lambda function to copy the files to the analysis S3 bucket. Configure the analysis S3 bucket to send event notifications to Amazon EventBridge (Amazon CloudWatch Events). Configure an ObjectCreated rule in EventBridge (CloudWatch Events). Configure Lambda and SageMaker Pipelines as targets for the rule.
  • D. Create a Lambda function to copy the files to the analysis S3 bucket. Create an S3 event notification for the analysis S3 bucket. Configure Lambda and SageMaker Pipelines as destinations of the event notification. Configure s30bjectCreated:Put as the event type.

Answer: B

Explanation:
This solution meets the requirements of moving the files automatically, running Lambda functions on the copied data, and sending the data files to SageMaker Pipelines with the least operational overhead. S3 replication can copy the files from the initial S3 bucket to the analysis S3 bucket as they arrive. The analysis S3 bucket can send event notifications to Amazon EventBridge (Amazon CloudWatch Events) when an object is created.EventBridge can trigger Lambda and SageMaker Pipelines as targets for the ObjectCreated rule. Lambda can run pattern-matching code on the copied data, and SageMaker Pipelines can execute a pipeline with the data files.
Option A is incorrect because creating a Lambda function to copy the files to the analysis S3 bucket is not necessary when S3 replication can do that automatically. It also adds operational overhead to manage the Lambda function. Option B is incorrect because creating a Lambda function to copy the files to the analysis S3 bucket is not necessary when S3 replication can do that automatically. It also adds operational overhead to manage the Lambda function. Option C is incorrect because using S3 event notification with multiple destinations can result in throttling or delivery failures if there are too many events.
Reference:
https://aws.amazon.com/blogs/machine-learning/automate-feature-engineering-pipelines-with-amazon-sagemaker/
https://docs.aws.amazon.com/sagemaker/latest/dg/automating-sagemaker-with-eventbridge.html
https://aws.amazon.com/about-aws/whats-new/2021/04/new-options-trigger-amazon-sagemaker-pipeline-executions/


NEW QUESTION # 304
[Design Secure Architectures]
A company's facility has badge readers at every entrance throughout the building. When badges are scanned, the readers send a message over HTTPS to indicate who attempted to access that particular entrance.
A solutions architect must design a system to process these messages from the sensors. The solution must be highly available, and the results must be made available for the company's security team to analyze.
Which system architecture should the solutions architect recommend?

  • A. Create an HTTPS endpoint in Amazon API Gateway. Configure the API Gateway endpoint to invoke an AWS Lambda function to process the messages and save the results to an Amazon DynamoDB table.
  • B. Launch an Amazon EC2 instance to serve as the HTTPS endpoint and to process the messages Configure the EC2 instance to save the results to an Amazon S3 bucket.
  • C. Create a gateway VPC endpoint for Amazon S3. Configure a Site-to-Site VPN connection from the facility network to the VPC so that sensor data can be written directly to an S3 bucket by way of the VPC endpoint.
  • D. Use Amazon Route 53 to direct incoming sensor messages to an AWS Lambda function. Configure the Lambda function to process the messages and save the results to an Amazon DynamoDB table.

Answer: A

Explanation:
Deploy Amazon API Gateway as an HTTPS endpoint and AWS Lambda to process and save the messages to an Amazon DynamoDB table. This option provides a highly available and scalable solution that can easily handle large amounts of data. It also integrates with other AWS services, making it easier to analyze and visualize the data for the security team.


NEW QUESTION # 305
A company hosts its application on several Amazon EC2 instances inside a VPC. The company creates a dedicated Amazon S3 bucket for each customer to store their relevant information in Amazon S3.
The company wants to ensure that the application running on EC2 instances can securely access only the S3 buckets that belong to the company's AWS account.
Which solution will meet these requirements with the LEAST operational overhead?

  • A. Create a NAT Gateway in a public subnet Update route tables to use the NAT Gateway Assign bucket policies for all buckets with a Deny action and the following condition key:
  • B. Create a gateway endpoint for Amazon S3 that is attached to the VPC Update the 1AM instance profile policy to provide access to only the specific buckets that the application needs.
  • C. Create a NAT gateway in a public subnet with a security group that allows access to only Amazon S3 Update the route tables to use the NAT Gateway.
  • D. Create a gateway endpoint for Amazon S3 that is attached to the VPC Update the 1AM instance profile policy with a Deny action and the following condition key:

Answer: B


NEW QUESTION # 306
A company has hired a solutions architect to design a reliable architecture for its application. The application consists of one Amazon RDS DB instance and two manually provisioned Amazon EC2 instances that run web servers. The EC2 instances are located in a single Availability Zone.
An employee recently deleted the DB instance, and the application was unavailable for 24 hours as a result.
The company is concerned with the overall reliability of its environment.
What should the solutions architect do to maximize reliability of the application's infrastructure?

  • A. Delete one EC2 instance and enable termination protection on the other EC2 instance. Update the DB instance to be Multi-AZ, and enable deletion protection.
  • B. Create an additional DB instance along with an Amazon API Gateway and an AWS Lambda function.
    Configure the application to invoke the Lambda function through API Gateway. Have the Lambda function write the data to the two DB instances.
  • C. Place the EC2 instances in an EC2 Auto Scaling group that has multiple subnets located in multiple Availability Zones. Use Spot Instances instead of On-Demand Instances. Set up Amazon CloudWatch alarms to monitor the health of the instances. Update the DB instance to be Multi-AZ, and enable deletion protection.
  • D. Update the DB instance to be Multi-AZ, and enable deletion protection. Place the EC2 instances behind an Application Load Balancer, and run them in an EC2 Auto Scaling group across multiple Availability Zones.

Answer: D

Explanation:
This answer is correct because it meets the requirements of maximizing the reliability of the application's infrastructure. You can update the DB instance to be Multi-AZ, which means that Amazon RDS automatically provisions and maintains a synchronous standby replica in a different Availability Zone. The primary DB instance is synchronously replicated across Availability Zones to a standby replica to provide data redundancy and minimize latency spikes during system backups. Running a DB instance with high availability can enhance availability during planned system maintenance. It can also help protect your databases against DB instance failure and Availability Zone disruption. You can also enable deletion protection on the DB instance, which prevents the DB instance from being deleted by any user. You can place the EC2 instances behind an Application Load Balancer, which distributes incoming application traffic across multiple targets, such as EC2 instances, in multiple Availability Zones. This increases the availability and fault tolerance of your applications. You can run the EC2 instances in an EC2 Auto Scaling group across multiple Availability Zones, which ensures that you have the correct number of EC2 instances available to handle the load for your application. You can use scaling policies to adjust the number of instances in your Auto Scaling group in response to changing demand.
References:
* https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZSingleStandby.html
* https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_DeleteInstance.
html#USER_DeleteInstance.DeletionProtection
* https://docs.aws.amazon.com/elasticloadbalancing/latest/application/introduction.html
* https://docs.aws.amazon.com/autoscaling/ec2/userguide/AutoScalingGroup.html


NEW QUESTION # 307
A company wants to analyze and troubleshoot Access Denied errors and Unauthonzed errors that are related to 1AM permissions The company has AWS CloudTrail turned on Which solution will meet these requirements with the LEAST effort?

  • A. Use AWS Glue and write custom scripts to query CloudTrail logs for the errors
  • B. Search CloudTrail logs with Amazon Athena queries to identify the errors
  • C. Use AWS Batch and write custom scripts to query CloudTrail logs for the errors
  • D. Search CloudTrail logs with Amazon QuickSight. Create a dashboard to identify the errors.

Answer: B

Explanation:
This solution meets the following requirements:
* It is the least effort, as it does not require any additional AWS services, custom scripts, or data processing steps. Amazon Athena is a serverless interactive query service that allows you to analyze data in Amazon S3 using standard SQL. You can use Athena to query CloudTrail logs directly from the S3 bucket where they are stored, without any data loading or transformation. You can also use the AWS Management Console, the AWS CLI, or the Athena API to run and manage your queries.
* It is effective, as it allows you to filter, aggregate, and join CloudTrail log data using SQL syntax. You can use various SQL functions and operators to specify the criteria for identifying Access Denied and Unauthorized errors, such as the error code, the user identity, the event source, the event name, the event time, and the resource ARN. You can also use subqueries, views, and common table expressions to simplify and optimize your queries.
* It is flexible, as it allows you to customize and save your queries for future use. You can also export the query results to other formats, such as CSV or JSON, or integrate them with other AWS services, such as Amazon QuickSight, for further analysis and visualization.
References:
* Querying AWS CloudTrail Logs - Amazon Athena
* Analyzing Data in S3 using Amazon Athena | AWS Big Data Blog
* Troubleshoot IAM permisson access denied or unauthorized errors | AWS re:Post


NEW QUESTION # 308
......

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