UNPARALLELED AUTHENTIC SAA-C03 EXAM QUESTIONS–100% MARVELOUS AMAZON AWS CERTIFIED SOLUTIONS ARCHITECT - ASSOCIATE (SAA-C03) EXAM EXAM ENGINE

Unparalleled Authentic SAA-C03 Exam Questions–100% Marvelous Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Exam Engine

Unparalleled Authentic SAA-C03 Exam Questions–100% Marvelous Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Exam Engine

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Amazon SAA-C03 exam tests a wide range of skills and knowledge related to AWS services, such as EC2, S3, RDS, VPC, Route 53, and many more. SAA-C03 exam also evaluates the candidate’s ability to design and deploy cost-effective solutions, security and compliance, and disaster recovery strategies. SAA-C03 Exam consists of multiple-choice questions and is timed, with a total duration of 130 minutes. To pass the exam, the candidate must score at least 720 out of 1000 points.

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Achieving the Amazon SAA-C03 Certification demonstrates that an individual has the skills and expertise needed to design and deploy scalable, highly available, and fault-tolerant systems on AWS. It is a valuable credential for IT professionals who want to advance their careers and take on more challenging roles in cloud computing.

Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q283-Q288):

NEW QUESTION # 283
A company has a new mobile app. Anywhere in the world, users can see local news on topics they choose. Users also can post photos and videos from inside the app.
Users access content often in the first minutes after the content is posted. New content quickly replaces older content, and then the older content disappears. The local nature of the news means that users consume 90% of the content within the AWS Region where it is uploaded.
Which solution will optimize the user experience by providing the LOWEST latency for content uploads?

  • A. Upload and store content in Amazon S3 in the Region that is closest to the user. Use multiple distributions of Amazon CloudFront.
  • B. Upload content to Amazon EC2 instances in the Region that is closest to the user. Copy the data to Amazon S3.
  • C. Upload and store content in Amazon S3. Use Amazon CloudFront for the uploads.
  • D. Upload and store content in Amazon S3. Use S3 Transfer Acceleration for the uploads.

Answer: D

Explanation:
The most suitable solution for optimizing the user experience by providing the lowest latency for content uploads is to upload and store content in Amazon S3 and use S3 Transfer Acceleration for the uploads. This solution will enable the company to leverage the AWS global network and edge locations to speed up the data transfer between the users and the S3 buckets.
Amazon S3 is a storage service that provides scalable, durable, and highly available object storage for any type of data. Amazon S3 allows users to store and retrieve data from anywhere on the web, and offers various features such as encryption, versioning, lifecycle management, and replication1.
S3 Transfer Acceleration is a feature of Amazon S3 that helps users transfer data to and from S3 buckets more quickly. S3 Transfer Acceleration works by using optimized network paths and Amazon's backbone network to accelerate data transfer speeds. Users can enable S3 Transfer Acceleration for their buckets and use a distinct URL to access them, such as <bucket>.s3-accelerate.amazonaws.com2.
The other options are not correct because they either do not provide the lowest latency or are not suitable for the use case. Uploading and storing content in Amazon S3 and using Amazon CloudFront for the uploads is not correct because this solution is not designed for optimizing uploads, but rather for optimizing downloads. Amazon CloudFront is a content delivery network (CDN) that helps users distribute their content globally with low latency and high transfer speeds. CloudFront works by caching the content at edge locations around the world, so that users can access it quickly and easily from anywhere3. Uploading content to Amazon EC2 instances in the Region that is closest to the user and copying the data to Amazon S3 is not correct because this solution adds unnecessary complexity and cost to the process. Amazon EC2 is a computing service that provides scalable and secure virtual servers in the cloud. Users can launch, stop, or terminate EC2 instances as needed, and choose from various instance types, operating systems, and configurations4. Uploading and storing content in Amazon S3 in the Region that is closest to the user and using multiple distributions of Amazon CloudFront is not correct because this solution is not cost-effective or efficient for the use case. As mentioned above, Amazon CloudFront is a CDN that helps users distribute their content globally with low latency and high transfer speeds. However, creating multiple CloudFront distributions for each Region would incur additional charges and management overhead, and would not be necessary since 90% of the content is consumed within the same Region where it is uploaded3.
Reference:
What Is Amazon Simple Storage Service? - Amazon Simple Storage Service
Amazon S3 Transfer Acceleration - Amazon Simple Storage Service
What Is Amazon CloudFront? - Amazon CloudFront
What Is Amazon EC2? - Amazon Elastic Compute Cloud


NEW QUESTION # 284
A company recently deployed a new auditing system to centralize information about operating system versions patching and installed software for Amazon EC2 instances. A solutions architect must ensure all instances provisioned through EC2 Auto Scaling groups successfully send reports to the auditing system as soon as they are launched and terminated Which solution achieves these goals MOST efficiently?

  • A. Use a scheduled AWS Lambda function and run a script remotely on all EC2 instances to send data to the audit system.
  • B. Use an EC2 Auto Scaling launch configuration to run a custom script through user data to send data to the audit system when instances are launched and terminated
  • C. Use EC2 Auto Scaling lifecycle hooks to run a custom script to send data to the audit system when instances are launched and terminated
  • D. Run a custom script on the instance operating system to send data to the audit system Configure the script to be invoked by the EC2 Auto Scaling group when the instance starts and is terminated

Answer: C

Explanation:
Amazon EC2 Auto Scaling offers the ability to add lifecycle hooks to your Auto Scaling groups. These hooks let you create solutions that are aware of events in the Auto Scaling instance lifecycle, and then perform a custom action on instances when the corresponding lifecycle event occurs. (https://docs.aws.amazon.com
/autoscaling/ec2/userguide/lifecycle-hooks.html)


NEW QUESTION # 285
A large multinational investment bank has a web application that requires a minimum of 4 EC2 instances to run to ensure that it can cater to its users across the globe. You are instructed to ensure fault tolerance of this system.
Which of the following is the best option?

  • A. Deploy an Auto Scaling group with 2 instances in each of 3 Availability Zones behind an Application Load Balancer.
  • B. Deploy an Auto Scaling group with 1 instance in each of 4 Availability Zones behind an Application Load Balancer.
  • C. Deploy an Auto Scaling group with 4 instances in one Availability Zone behind an Application Load Balancer.
  • D. Deploy an Auto Scaling group with 2 instances in each of 2 Availability Zones behind an Application Load Balancer.

Answer: A

Explanation:
Fault Tolerance is the ability of a system to remain in operation even if some of the components used to build the system fail. In AWS, this means that in the event of server fault or system failures, the number of running EC2 instances should not fall below the minimum number of instances required by the system for it to work properly. So if the application requires a minimum of 4 instances, there should be at least 4 instances running in case there is an outage in one of the Availability Zones or if there are server issues.

One of the differences between Fault Tolerance and High Availability is that the former refers to the minimum number of running instances. For example, you have a system that requires a minimum of 4 running instances and currently has 6 running instances deployed in two Availability Zones. There was a component failure in one of the Availability Zones which knocks out 3 instances. In this case, the system can still be regarded as Highly Available since there are still instances running that can accommodate the requests. However, it is not Fault-Tolerant since the required minimum of four instances has not been met.
Hence, the correct answer is: Deploy an Auto Scaling group with 2 instances in each of 3 Availability Zones behind an Application Load Balancer.
The option that says: Deploy an Auto Scaling group with 2 instances in each of 2 Availability Zones behind an Application Load Balancer is incorrect because if one Availability Zone went out, there will only be 2 running instances available out of the required 4 minimum instances. Although the Auto Scaling group can spin up another 2 instances, the fault tolerance of the web application has already been compromised.
The option that says: Deploy an Auto Scaling group with 4 instances in one Availability Zone behind an Application Load Balancer is incorrect because if the Availability Zone went out, there will be no running instance available to accommodate the request.
The option that says: Deploy an Auto Scaling group with 1 instance in each of 4 Availability Zones behind an Application Load Balancer is incorrect because if one Availability Zone went out, there will only be 3 instances available to accommodate the request. References:
https://media.amazonwebservices.com/AWS_Building_Fault_Tolerant_Applications.pdf
https://d1.awsstatic.com/whitepapers/aws-building-fault-tolerant-applications.pdf AWS Overview Cheat Sheets:
https://tutorialsdojo.com/aws-cheat-sheets-overview/
Tutorials Dojo's AWS Certified Solutions Architect Associate Exam Study Guide:
https://tutorialsdojo.com/aws-certified-solutions-architect-associate/


NEW QUESTION # 286
A financial service company has a two-tier consumer banking application. The frontend serves static web content. The backend consists of APIs. The company needs to migrate the frontend component to AWS. The backend of the application will remain on premises. The company must protect the application from common web vulnerabilities and attacks.
Which solution will meet these requirements with the LEAST operational overhead?

  • A. Migrate the frontend to Amazon EC2 instances. Deploy an Application Load Balancer (ALB) in front of the instances. Use the instances to invoke the on-premises APIs. Associate AWS WAF rules with the instances.
  • B. Deploy the frontend as a static website based on an Amazon S3 bucket. Use an Amazon API Gateway REST API and a set of Amazon EC2 instances to invoke the on-premises APIs. Associate AWS WAF rules with the REST API and the S3 bucket.
  • C. Deploy the frontend as an Amazon CloudFront distribution that has multiple origins. Configure one origin to be an Amazon S3 bucket that serves the static web content. Configure a second origin to route traffic to the on-premises APIs based on the URL pattern. Associate AWS WAF rules with the distribution.
  • D. Migrate the frontend to Amazon EC2 instances. Deploy a Network Load Balancer (NLB) in front of the instances. Use the instances to invoke the on-premises APIs. Create an AWS Network Firewall instance. Route all traffic through the Network Firewall instance.

Answer: C

Explanation:
Comprehensive Explanation:Deploying the frontend as a CloudFront distribution with multiple origins provides an efficient and scalable solution. Using WAF rules with CloudFront protects against web vulnerabilities, while the multi-origin configuration allows traffic routing to the on-premises backend APIs.
This approach minimizes operational overhead compared to managing EC2 instances.
References:
* Amazon CloudFront Features
* AWS WAF Integration with CloudFront


NEW QUESTION # 287
A company stores confidential data in an Amazon Aurora PostgreSQL database in the ap-southeast-3 Region The database is encrypted with an AWS Key Management Service (AWS KMS) customer managed key The company was recently acquired and must securely share a backup of the database with the acquiring company's AWS account in ap-southeast-3.
What should a solutions architect do to meet these requirements?

  • A. Create a database snapshot Add the acquiring company's AWS account to the KMS key policy Share the snapshot with the acquiring company's AWS account
  • B. Create a database snapshot Download the database snapshot Upload the database snapshot to an Amazon S3 bucket Update the S3 bucket policy to allow access from the acquiring company's AWS account
  • C. Create a database snapshot Copy the snapshot to a new unencrypted snapshot Share the new snapshot with the acquiring company's AWS account
  • D. Create a database snapshot that uses a different AWS managed KMS key Add the acquiring company's AWS account to the KMS key alias. Share the snapshot with the acquiring company's AWS account.

Answer: A

Explanation:
Explanation
https://docs.aws.amazon.com/kms/latest/developerguide/key-policy-modifying-external-accounts.html There's no need to create another custom AWS KMS key.
https://aws.amazon.com/premiumsupport/knowledge-center/aurora-share-encrypted-snapshot/ Give target account access to the custom AWS KMS key within the source account 1. Log in to the source account, and go to the AWS KMS console in the same Region as the DB cluster snapshot. 2. Select Customer-managed keys from the navigation pane. 3. Select your custom AWS KMS key (ALREADY CREATED) 4. From the Other AWS accounts section, select Add another AWS account, and then enter the AWS account number of your target account. Then: Copy and share the DB cluster snapshot


NEW QUESTION # 288
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