EXAM SAA-C03 PREPARATION, LATEST SAA-C03 EXAM DISCOUNT

Exam SAA-C03 Preparation, Latest SAA-C03 Exam Discount

Exam SAA-C03 Preparation, Latest SAA-C03 Exam Discount

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Passing the Amazon SAA-C03 exam requires a thorough understanding of AWS services and their architecture. It is a challenging exam that tests the candidate's ability to design and implement scalable and reliable solutions on the AWS platform. Candidates who pass the exam are awarded the AWS Certified Solutions Architect - Associate certification, which is recognized globally and can help professionals advance their careers in the cloud computing industry.

Amazon SAA-C03 (Amazon AWS Certified Solutions Architect - Associate) certification exam is a highly sought-after certification in the cloud computing industry. It is designed for individuals who want to demonstrate their expertise in designing and deploying scalable, highly available, and fault-tolerant systems on AWS. SAA-C03 exam is intended for professionals who have experience in designing and implementing distributed systems on AWS.

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q655-Q660):

NEW QUESTION # 655
A company has Amazon EC2 instances that run nightly batch jobs to process data. The EC2 instances run in an Auto Scaling group that uses On-Demand billing. If a job fails on one instance: another instance will reprocess the job. The batch jobs run between 12:00 AM and 06 00 AM local time every day.
Which solution will provide EC2 instances to meet these requirements MOST cost-effectively'?

  • A. Create a new launch template for the Auto Scaling group Set the instances to Spot Instances Set a policy to scale out based on CPU usage.
  • B. Create a new launch template for the Auto Scaling group Increase the instance size Set a policy to scale out based on CPU usage.
  • C. Purchase a 1-year Reserved Instance for the specific instance type and operating system of the instances in the Auto Scaling group that the batch job uses.
  • D. Purchase a 1-year Savings Plan for Amazon EC2 that covers the instance family of the Auto Scaling group that the batch job uses.

Answer: A

Explanation:
This option is the most cost-effective solution because it leverages the Spot Instances, which are unused EC2 instances that are available at up to 90% discount compared to On-Demand prices. Spot Instances can be interrupted by AWS when the demand for On-Demand instances increases, but since the batch jobs are fault-tolerant and can be reprocessed by another instance, this is not a major issue. By using a launch template, the company can specify the configuration of the Spot Instances, such as the instance type, the operating system, and the user data. By using an Auto Scaling group, the company can automatically scale the number of Spot Instances based on the CPU usage, which reflects the load of the batch jobs. This way, the company can optimize the performance and the cost of the EC2 instances for the nightly batch jobs.
A: Purchase a 1-year Savings Plan for Amazon EC2 that covers the instance family of the Auto Scaling group that the batch job uses. This option is not optimal because it requires a commitment to a consistent amount of compute usage per hour for a one-year term, regardless of the instance type, size, region, or operating system.
This can limit the flexibility and scalability of the Auto Scaling group and result in overpaying for unused compute capacity. Moreover, Savings Plans do not provide a capacity reservation, which means the company still needs to reserve capacity with On-Demand Capacity Reservations and pay lower prices with Savings Plans.
B: Purchase a 1-year Reserved Instance for the specific instance type and operating system of the instances in the Auto Scaling group that the batch job uses. This option is not ideal because it requires a commitment to a specific instance configuration for a one-year term, which can reduce the flexibility and scalability of the Auto Scaling group and result in overpaying for unused compute capacity. Moreover, Reserved Instances do not provide a capacity reservation, which means the company still needs to reserve capacity with On-Demand Capacity Reservations and pay lower prices with Reserved Instances.
D: Create a new launch template for the Auto Scaling group Increase the instance size Set a policy to scale out based on CPU usage. This option is not cost-effective because it does not take advantage of the lower prices of Spot Instances. Increasing the instance size can improve the performance of the batch jobs, but it can also increase the cost of the On-Demand instances. Moreover, scaling out based on CPU usage can result in launching more instances than needed, which can also increase the cost of the system.
References:
1 Spot Instances - Amazon Elastic Compute Cloud
2 Launch templates - Amazon Elastic Compute Cloud
3 Auto Scaling groups - Amazon EC2 Auto Scaling
4 Savings Plans - Amazon EC2 Reserved Instances and Other AWS Reservation Models


NEW QUESTION # 656
One of your EC2 instances is reporting an unhealthy system status check. The operations team is looking for an easier way to monitor and repair these instances instead of fixing them manually.
How will you automate the monitoring and repair of the system status check failure in an AWS environment?

  • A. Buy and implement a third party monitoring tool.
  • B. Write a python script that queries the EC2 API for each instance status check
  • C. Create CloudWatch alarms that stop and start the instance based on status check alarms.
  • D. Write a shell script that periodically shuts down and starts instances based on certain stats.

Answer: C

Explanation:
Using Amazon CloudWatch alarm actions, you can create alarms that automatically stop, terminate, reboot, or recover your EC2 instances. You can use the stop or terminate actions to help you save money when you no longer need an instance to be running. You can use the reboot and recover actions to automatically reboot those instances or recover them onto new hardware if a system impairment occurs.
Writing a python script that queries the EC2 API for each instance status check, writing a shell script that periodically shuts down and starts instances based on certain stats, and buying and implementing a third party monitoring tool are all incorrect because it is unnecessary to go through such lengths when CloudWatch Alarms already has such a feature for you, offered at a low cost.
Reference:
https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/UsingAlarmActions.html Check out this Amazon CloudWatch Cheat Sheet: https://tutorialsdojo.com/amazon-cloudwatch/


NEW QUESTION # 657
How can a company detect and notify security teams about PII in S3 buckets?

  • A. Use Amazon GuardDuty. Create an EventBridge rule for CRITICAL findings and send an SQS notification.
  • B. Use Amazon GuardDuty. Create an EventBridge rule for CRITICAL findings and send an SNS notification.
  • C. Use Amazon Macie. Create an EventBridge rule for SensitiveData findings and send an SNS notification.
  • D. Use Amazon Macie. Create an EventBridge rule for SensitiveData:S3Object/Personal findings and send an SQS notification.

Answer: C

Explanation:
* Amazon Macie is purpose-built for detecting PII in S3.
* Option A uses EventBridge to filter SensitiveData findings and notify via SNS, meeting the requirements.
* Options B and D involve GuardDuty, which is not designed for PII detection.
* Option C uses SQS, which is less suitable for immediate notifications.


NEW QUESTION # 658
A development team has launched a new application that is hosted on Amazon EC2 instances inside a development VPC. A solution architect needs to create a new VPC in the same account. The new VPC will be peered with the development VPC. The VPC CIDR block for the development VPC is 192. 168. 00/24. The solutions architect needs to create a CIDR block for the new VPC. The CIDR block must be valid for a VPC peering connection to the development VPC.
What is the SMALLEST CIOR block that meets these requirements?

  • A. 10.0.1.0/32
  • B. 192.168.1.0/32
  • C. 192.168.0.0/24
  • D. 10.0.1.0/24

Answer: D

Explanation:
Explanation
The allowed block size is between a /28 netmask and /16 netmask. The CIDR block must not overlap with any existing CIDR block that's associated with the VPC.
https://docs.aws.amazon.com/vpc/latest/userguide/configure-your-vpc.html


NEW QUESTION # 659
A company wants to migrate an application to AWS. The company wants to increase the application's current availability The company wants to use AWS WAF in the application's architecture.
Which solution will meet these requirements?

  • A. Create an Auto Scaling group that contains multiple Amazon EC2 instances that host the application across two Availability Zones. Configure an Application Load Balancer (ALB) and set the Auto Scaling group as the target. Connect a WAF to the ALB.
  • B. Create two Amazon EC2 instances that host the application across two Availability Zones. Configure the EC2 instances as the targets of an Application Load Balancer (ALB). Connect a WAF to the ALB.
  • C. Create a cluster placement group that contains multiple Amazon EC2 instances that hosts the application Configure an Application Load Balancer and set the EC2 instances as the targets. Connect a WAF to the placement group.
  • D. Create an Auto Scaling group that contains multiple Amazon EC2 instances that host the application across two Availability Zones. Configure an Application Load Balancer (ALB) and set the Auto Scaling group as the target Connect a WAF to the Auto Scaling group.

Answer: A

Explanation:
* Understanding the Requirement: The company wants to migrate an application to AWS, increase its availability, and use AWS WAF in the architecture.
* Analysis of Options:
* Auto Scaling group with ALB and WAF: This option provides high availability by distributing instances across multiple Availability Zones. The ALB ensures even traffic distribution, and AWS WAF provides security at the application layer.
* Cluster placement group with ALB and WAF: Cluster placement groups are for low-latency networking within a single AZ, which does not provide the high availability across AZs.
* Two EC2 instances with ALB and WAF: This setup provides some availability but does not scale automatically, missing the benefits of an Auto Scaling group.
* Auto Scaling group with WAF directly: AWS WAF cannot be directly connected to an Auto Scaling group; it needs to be attached to an ALB, CloudFront distribution, or API Gateway.
* Best Solution:
* Auto Scaling group with ALB and WAF: This configuration ensures high availability, scalability, and security, meeting all the requirements effectively.
References:
* Amazon EC2 Auto Scaling
* Application Load Balancer
* AWS WAF


NEW QUESTION # 660
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