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| Certification Vendor: | Amazon Web Services (AWS) |
|---|---|
| Exam Name: | AWS Certified Solutions Architect - Associate |
| Exam Number: | SAA-C03 |
| Exam Price: | $150 USD |
| Exam Format: | Multiple Response, Multiple Choice |
| Exam Duration: | 130 minutes |
| Passing Score: | 720 / 1000 |
| Related Certifications: | AWS Certified Solutions Architect - Professional |
| Real Exam Qty: | 65 |
| Certificate Validity Period: | 3 years |
| Available Languages: | Japanese, English, Korean, Simplified Chinese |
| Sample Questions: | Amazon SAA-C03 Sample Questions |
| Exam Way: | Online (Pearson VUE or PSI) or Test Center |
| Pre Condition: | No mandatory prerequisites. AWS recommends at least 1 year of hands-on experience designing distributed systems on AWS. |
| Official Syllabus URL: | https://aws.amazon.com/certification/certified-solutions-architect-associate/ |
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The SAA-C03 exam consists of multiple-choice and multiple-response questions and is available in English, Japanese, Korean, and Simplified Chinese. SAA-C03 exam duration is 130 minutes, and the passing score is 720 out of 1000. SAA-C03 exam fee is $150, and candidates can take the exam online or at a testing center. SAA-C03 exam focuses on various AWS services, including EC2, S3, RDS, VPC, Route 53, and others, and tests a candidate's understanding of AWS architecture and basic principles of security, compliance, and reliability.
Amazon SAA-C03 Certification Exam consists of 65 multiple-choice and multiple-response questions that must be completed in 130 minutes. SAA-C03 exam is available in multiple languages, and candidates can take it at any Pearson VUE testing center globally. SAA-C03 exam is computer-based, and candidates are required to have a good understanding of AWS services, architecture, and best practices to pass the exam.
NEW QUESTION # 622
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?
Answer: D
Explanation:
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.
D: 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.
Reference URL: https://docs.aws.amazon.com/whitepapers/latest/aws-overview/compute-services.html
NEW QUESTION # 623
A company wants to configure its Amazon CloudFront distribution to use SSL/TLS certificates. The company does not want to use the default domain name for the distribution. Instead, the company wants to use a different domain name for the distribution.
Which solution will deploy the certificate with icurring any additional costs?
Answer: B
Explanation:
This option is the most efficient because it requests an Amazon issued public certificate from AWS Certificate Manager (ACM), which is a service that lets you easily provision, manage, and deploy public and private SSL
/TLS certificates for use with AWS services and your internal connected resources1. It also requests the certificate in the us-east-1 Region, which is required for using an ACM certificate with CloudFront2. It also meets the requirement of deploying the certificate without incurring any additional costs, as ACM does not charge for certificates that are used with supported AWS services3. This solution meets the requirement of configuring its CloudFront distribution to use SSL/TLS certificates and using a different domain name for the distribution. Option A is less efficient because it requests an Amazon issued private certificate from ACM, which is a type of certificate that can be used only within your organization or virtual private cloud (VPC).
However, this does not meet the requirement of configuring its CloudFront distribution to use SSL/TLS certificates, as CloudFront requires a public certificate. It also requests the certificate in the us-east-1 Region, which is correct. Option B is less efficient because it requests an Amazon issued private certificate from ACM, which is incorrect for the same reason as option A. It also requests the certificate in the us-west-1 Region, which is incorrect as CloudFront requires a certificate in the us-east-1 Region. Option D is less efficient because it requests an Amazon issued public certificate from ACM, which is correct. However, it requests the certificate in the us-west-1 Region, which is incorrect as CloudFront requires a certificate in the us-east-1 Region.
NEW QUESTION # 624
A company runs analytics software on Amazon EC2 instances The software accepts job requests from users to process data that has been uploaded to Amazon S3 Users report that some submitted data is not being processed Amazon CloudWatch reveals that the EC2 instances have a consistent CPU utilization at or near
100% The company wants to improve system performance and scale the system based on user load.
What should a solutions architect do to meet these requirements?
Answer: D
Explanation:
This option is the best solution because it allows the company to decouple the analytics software from the user requests and scale the EC2 instances dynamically based on the demand. By using Amazon SQS, the company can create a queue that stores the user requests and acts as a buffer between the users and the analytics software. This way, the software can process the requests at its own pace without losing any data or overloading the EC2 instances. By using EC2 Auto Scaling, the company can create an Auto Scaling group that launches or terminates EC2 instances automatically based on the size of the queue. This way, the company can ensure that there are enough instances to handle the load and optimize the cost and performance of the system. By updating the software to read from the queue, the company can enable the analytics software to consume the requests from the queue and process the data from Amazon S3.
A: Create a copy of the instance Place all instances behind an Application Load Balancer. This option is not optimal because it does not address the root cause of the problem, which is the high CPU utilization of the EC2 instances. An Application Load Balancer can distribute the incoming traffic across multiple instances, but it cannot scale the instances based on the load or reduce the processing time of the analytics software.
Moreover, this option can incur additional costs for the load balancer and the extra instances.
B: Create an S3 VPC endpoint for Amazon S3 Update the software to reference the endpoint. This option is not effective because it does not solve the issue of the high CPU utilization of the EC2 instances. An S3 VPC endpoint can enable the EC2 instances to access Amazon S3 without going through the internet, which can improve the network performance and security. However, it cannot reduce the processing time of the analytics software or scale the instances based on the load.
C: Stop the EC2 instances. Modify the instance type to one with a more powerful CPU and more memory.
Restart the instances. This option is not scalable because it does not account for the variability of the user load.
Changing the instance type to a more powerful one can improve the performance of the analytics software, but it cannot adjust the number of instances based on the demand. Moreover, this option can increase the cost of the system and cause downtime during the instance modification.
References:
1 Using Amazon SQS queues with Amazon EC2 Auto Scaling - Amazon EC2 Auto Scaling
2 Tutorial: Set up a scaled and load-balanced application - Amazon EC2 Auto Scaling
3 Amazon EC2 Auto Scaling FAQs
NEW QUESTION # 625
A company is using Amazon Route 53 latency-based routing to route requests to its UDP-based application for users around the world. The application is hosted on redundant servers in the company's on-premises data centers in the United States. Asia, and Europe. The company's compliance requirements state that the application must be hosted on premises The company wants to improve the performance and availability of the application What should a solutions architect do to meet these requirements?
Answer: B
Explanation:
https://aws.amazon.com/step-functions/#:~:text=AWS%20Step%20Functions%20is%20a,machine%
20learning%20(ML)%20pipelines.
"A common use case for AWS Step Functions is a task that requires human intervention (for example, an approval process). Step Functions makes it easy to coordinate the components of distributed applications as a series of steps in a visual workflow called a state machine. You can quickly build and run state machines to execute the steps of your application in a reliable and scalable fashion. (https://aws.amazon.com/pt/blogs
/compute/implementing-serverless-manual-approval-steps-in-aws-step-functions-and-amazon-api-gateway/)"
NEW QUESTION # 626
AWS Lambda functions need shared access to internal libraries and reference data that are updated independently by different teams. Which solution will meet these requirements?
Answer: B
Explanation:
Amazon EFS integrates natively with Lambda, supports shared, persistent storage, and allows independent updates without redeploying functions. EBS and /tmp are not supported for this use case; FSx is unnecessary.
NEW QUESTION # 627
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