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Amazon SAA-C03 exam covers a wide range of topics, including AWS architecture, design principles, deployment, management, and operations. Candidates will be tested on their ability to use AWS services to build and deploy scalable and highly available systems, as well as their ability to design and implement secure and resilient applications on AWS. SAA-C03 Exam consists of multiple-choice and multiple-response questions, and candidates will have 130 minutes to complete it.

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q290-Q295):

NEW QUESTION # 290
A company needs to deploy at least 2 EC2 instances to support the normal workloads of its application and automatically scale up to 6 EC2 instances to handle the peak load. The architecture must be highly available and fault-tolerant as it is processing mission-critical workloads.
As the Solutions Architect of the company, what should you do to meet the above requirement?

A. Create an Auto Scaling group of EC2 instances and set the minimum capacity to 2 and the maximum capacity to 4. Deploy 2 instances in Availability Zone A and 2 instances in Availability Zone B.
B. Create an Auto Scaling group of EC2 instances and set the minimum capacity to 2 and the maximum capacity to 6. Deploy 4 instances in Availability Zone A.
C. Create an Auto Scaling group of EC2 instances and set the minimum capacity to 2 and the maximum capacity to 6. Use 2 Availability Zones and deploy 1 instance for each AZ.
D. Create an Auto Scaling group of EC2 instances and set the minimum capacity to 4 and the maximum capacity to 6. Deploy 2 instances in Availability Zone A and another 2 instances in Availability Zone B.

Answer: D

Explanation:
Amazon EC2 Auto Scaling helps ensure that you have the correct number of Amazon EC2 instances available to handle the load for your application. You create collections of EC2 instances, called Auto Scaling groups. You can specify the minimum number of instances in each Auto Scaling group, and Amazon EC2 Auto Scaling ensures that your group never goes below this size. You can also specify the maximum number of instances in each Auto Scaling group, and Amazon EC2 Auto Scaling ensures that your group never goes above this size.

To achieve highly available and fault-tolerant architecture for your applications, you must deploy all your instances in different Availability Zones. This will help you isolate your resources if an outage occurs.
Take note that to achieve fault tolerance, you need to have redundant resources in place to avoid any system degradation in the event of a server fault or an Availability Zone outage. Having a fault-tolerant architecture entails an extra cost in running additional resources than what is usually needed. This is to ensure that the mission-critical workloads are processed.
Since the scenario requires at least 2 instances to handle regular traffic, you should have 2 instances running all the time even if an AZ outage occurred. You can use an Auto Scaling Group to automatically scale your compute resources across two or more Availability Zones. You have to specify the minimum capacity to 4 instances and the maximum capacity to 6 instances. If each AZ has 2 instances running, even if an AZ fails, your system will still run a minimum of 2 instances.
Hence, the correct answer in this scenario is: Create an Auto Scaling group of EC2 instances and set the minimum capacity to 4 and the maximum capacity to 6. Deploy 2 instances in Availability Zone A and another 2 instances in Availability Zone B.
The option that says: Create an Auto Scaling group of EC2 instances and set the minimum capacity to 2 and the maximum capacity to 6. Deploy 4 instances in Availability Zone A is incorrect because the instances are only deployed in a single Availability Zone. It cannot protect your applications and data from datacenter or AZ failures.
The option that says: Create an Auto Scaling group of EC2 instances and set the minimum capacity to 2 and the maximum capacity to 6. Use 2 Availability Zones and deploy 1 instance for each AZ is incorrect.
It is required to have 2 instances running all the time. If an AZ outage happened, ASG will launch a new instance on the unaffected AZ. This provisioning does not happen instantly, which means that for a certain period of time, there will only be 1 running instance left.
The option that says: Create an Auto Scaling group of EC2 instances and set the minimum capacity to 2 and the maximum capacity to 4. Deploy 2 instances in Availability Zone A and 2 instances in Availability Zone B is incorrect. Although this fulfills the requirement of at least 2 EC2 instances and high availability, the maximum capacity setting is wrong. It should be set to 6 to properly handle the peak load. If an AZ outage occurs and the system is at its peak load, the number of running instances in this setup will only be 4 instead of 6 and this will affect the performance of your application. References:
https://docs.aws.amazon.com/autoscaling/ec2/userguide/what-is-amazon-ec2-auto-scaling.html
https://docs.aws.amazon.com/documentdb/latest/developerguide/regions-and-azs.html Check out this AWS Auto Scaling Cheat Sheet:
https://tutorialsdojo.com/aws-auto-scaling/

NEW QUESTION # 291
A company runs a highly available image-processing application on Amazon EC2 instances in a single VPC The EC2 instances run inside several subnets across multiple Availability Zones. The EC2 instances do not communicate with each other However, the EC2 instances download images from Amazon S3 and upload images to Amazon S3 through a single NAT gateway The company is concerned about data transfer charges What is the MOST cost-effective way for the company to avoid Regional data transfer charges?

A. Provision an EC2 Dedicated Host to run the EC2 instances
B. Deploy a gateway VPC endpoint for Amazon S3
C. Launch the NAT gateway in each Availability Zone
D. Replace the NAT gateway with a NAT instance

Answer: B

NEW QUESTION # 292
[Design Cost-Optimized Architectures]
A company is developing an application that will run on a production Amazon Elastic Kubernetes Service (Amazon EKS) cluster The EKS cluster has managed node groups that are provisioned with On-Demand Instances.
The company needs a dedicated EKS cluster for development work. The company will use the development cluster infrequently to test the resiliency of the application. The EKS cluster must manage all the nodes.
Which solution will meet these requirements MOST cost-effectively?

A. Create a managed node group that contains only On-Demand Instances.
B. Create two managed node groups. Provision one node group with On-Demand Instances. Provision the second node group with Spot Instances.
C. Create a managed node group that contains only Spot Instances.
D. Create an Auto Scaling group that has a launch configuration that uses Spot Instances. Configure the user data to add the nodes to the EKS cluster.

Answer: C

Explanation:
Spot Instances are EC2 instances that are available at up to a 90% discount compared to On-Demand prices. Spot Instances are suitable for stateless, fault-tolerant, and flexible workloads that can tolerate interruptions. Spot Instances can be reclaimed by EC2 when the demand for On-Demand capacity increases, but they provide a two-minute warning before termination. EKS managed node groups automate the provisioning and lifecycle management of nodes for EKS clusters. Managed node groups can use Spot Instances to reduce costs and scale the cluster based on demand. Managed node groups also support features such as Capacity Rebalancing and Capacity Optimized allocation strategy to improve the availability and resilience of Spot Instances. This solution will meet the requirements most cost-effectively, as it leverages the lowest-priced EC2 capacity and does not require any manual intervention.
Reference:
1 explains how to create and use managed node groups with EKS.
2 describes how to use Spot Instances with managed node groups.
3 provides an overview of Spot Instances and their benefits.

NEW QUESTION # 293
A company uses multiple vendors to distribute digital assets that are stored in Amazon S3 buckets The company wants to ensure that its vendor AWS accounts have the minimum access that is needed to download objects in these S3 buckets Which solution will meet these requirements with the LEAST operational overhead?

A. Create a user policy and vendor user groups that give read-only access to vendor users
B. Design a bucket policy that gives read-only access to users. Specify IAM entities as principals
C. Create a cross-account IAM role that has a read-only access policy specified for the IAM role.
D. Design a bucket policy that has anonymous read permissions and permissions to list ail buckets.

Answer: C

Explanation:
A cross-account IAM role is a way to grant users from one AWS account access to resources in another AWS account. The cross-account IAM role can have a read-only access policy attached to it, which allows the users to download objects from the S3 buckets without modifying or deleting them. The cross-account IAM role also reduces the operational overhead of managing multiple IAM users and policies in each account. The cross-account IAM role meets all the requirements of the question, while the other options do not. Reference:
https://docs.aws.amazon.com/AmazonS3/latest/userguide/example-walkthroughs-managing-access-example2.html
https://aws.amazon.com/blogs/storage/setting-up-cross-account-amazon-s3-access-with-s3-access-points/
https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_create_for-user_externalid.html

NEW QUESTION # 294
A payment processing company records all voice communication with its customers and stores the audio files in an Amazon S3 bucket. The company needs to capture the text from the audio files. The company must remove from the text any personally identifiable information (Pll) that belongs to customers.
What should a solutions architect do to meet these requirements?

A. Configure an Amazon Transcribe transcription job with Pll redaction turned on. When an audio file is uploaded to the S3 bucket, invoke an AWS Lambda function to start the transcription job. Store the output in a separate S3 bucket.
B. When an audio file is uploaded to the S3 bucket, invoke an AWS Lambda function to start an Amazon Textract task to analyze the call recordings.
C. Process the audio files by using Amazon Kinesis Video Streams. Use an AWS Lambda function to scan for known Pll patterns.
D. Create an Amazon Connect contact flow that ingests the audio files with transcription turned on. Embed an AWS Lambda function to scan for known Pll patterns. Use Amazon EventBridge (Amazon CloudWatch Events) to start the contact flow when an audio file is uploaded to the S3 bucket.

Answer: A

Explanation:
"Sensitive data redaction replaces personally identifiable information (PII) in the text transcript and the audio file. A redacted transcript replaces the original text with [PII]; a redacted audio file replaces spoken personal information with silence. This parameter is useful for protecting customer information." https://docs.aws.amazon.com/transcribe/latest/dg/call-analytics-insights.html#call-analytics-insights-redaction

NEW QUESTION # 295
......

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Valid SAA-C03 Exam Vce & SAA-C03 New Exam Materials

Choosing Valid SAA-C03 Exam Vce - No Worry About AWS Certified Solutions Architect - Associate

Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q290-Q295):

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