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The AWS-Solutions-Associate certification exam is designed for individuals with experience in designing and deploying scalable, highly available, and fault-tolerant systems on AWS. AWS-Solutions-Associate exam tests the candidate's knowledge in several areas, including AWS architecture, security, deployment, and operations. It also covers topics such as database services, compute and networking services, and analytics services. By passing AWS-Solutions-Associate Exam, candidates can demonstrate their expertise in building and deploying cloud-based solutions that meet the needs of modern businesses.

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The AWS-Solutions-Associate exam consists of multiple-choice questions and is designed to test the candidate's understanding of various AWS services, including compute, storage, databases, networking, security, and more. AWS-Solutions-Associate exam also covers topics such as AWS architecture, deployment, and management, as well as best practices for designing and deploying applications on AWS.

The AWS-Solutions-Architect-Associate certification exam covers a wide range of topics, including AWS architecture and deployment, security, cost optimization, and troubleshooting. Candidates who Pass AWS-Solutions-Associate Exam are considered proficient in designing and deploying scalable, cost-effective, and secure AWS systems that meet the needs of various organizations.

Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q347-Q352):

NEW QUESTION # 347
A company has an application workflow that uses an AWS Lambda function to download and decrypt files from Amazon S3 These files are encrypted using AWS Key Management Service Customer Master Keys (AWS KMS CMKs). A solutions architect needs to design a solution that will ensure the required permissions are set correctly.
Which combination of actions accomplish this? (Select TWO.)

A. Create a new IAM policy with the kms decrypt permission and attach the policy to the Lambda function.
B. Grant the decrypt permission for the Lambda resource policy in the KMS key s policy.
C. Attach the kms decrypt permission to the Lambda function's resource policy.
D. Create a new IAM role with the kms:decrypt permission and attach the execution role to the Lambda function.
E. Grant the decrypt permission for the Lambda IAM role in the KMS key's policy.

Answer: C,D

NEW QUESTION # 348
A transaction processing company has weekly scripted batch jobs that run on Amazon EC2 instances. The EC2 instances are in an Auto Scaling group. The number of transactions can vary but the beseline CPU utilization that is noted on each run is at least 60%. The company needs to provision the capacity 30 minutes before the jobs run.
Currently engineering complete this task by manually modifying the Auto Scaling group parameters. The company does not have the resources to analyze the required capacity trends for the Auto Scaling group counts. The company needs an automated way to modify the Auto Scaling group's capacity.
Which solution will meet these requiements with the LEAST operational overhead?

A. Ceate a dynamic scalling policy for the Auto Scaling group. Configure the policy to scale based on the CPU utilization metric to 60%.
B. Create a predictive scaling policy for the Auto Scaling group. Configure the policy to scale based on forecast. Set the scaling metric to CPU utilization. Set the target value for the metric to 60%. In the Policy, set the instances to pre-launch 30 minutes before the jobs run.
C. Create a scheduled scaling polcy for the Auto Scaling group. Set the appropriate desired capacity, minimum capacity, and maximum capacity. Set the recurrence to weekly. Set the start time to 30 minutes. Before the batch jobs run.
D. Create an Amazon EventBridge event to invoke an AWS Lamda function when the CPU utilization metric value for the Auto Scaling group reaches 60%. Configure the Lambda function to increase the Auto Scaling group's desired capacity and maximum capacity by 20%.

Answer: B

Explanation:
This option is the most efficient because it uses a predictive scaling policy for the Auto Scaling group, which isa type of scaling policy that uses machine learning to predict capacity requirements based on historical data from CloudWatch1. It also configures the policy to scale based on forecast, which enables the Auto Scaling group to adjust its capacity in advance of trafficchanges. It also sets the scaling metric to CPU utilization and the target value for the metric to 60%, which aligns with the baseline CPU utilization that is noted on each run. It also sets the instances to pre-launch 30 minutes before the jobs run, which ensures that enough capacity is provisioned before the weekly scripted batch jobs start. This solution meets the requirement of provisioning the capacity 30 minutes before the jobs run with the leastoperational overhead. Option A is less efficient because it uses a dynamic scaling policy for the Auto Scaling group, which is a type of scaling policy that adjusts your Auto Scaling group's capacity in response to changing demand2. However, this does not provide a way to provision the capacity 30 minutes before the jobs run, as it only reacts to changing traffic. Option B is less efficientbecause it uses a scheduled scaling policy for the Auto Scaling group, which is a type of scaling policy that lets you scale your Auto Scaling group based on a schedule that you create3. However, this does not provide a way to scale based on forecast or CPU utilization, as it only scales based on predefined metrics and policies. Option D is less efficient because it uses an Amazon EventBridge event to invoke an AWS Lambda function when the CPU utilization metric value for the Auto Scaling group reaches 60%, which is a way to trigger serverless functions based on events. However, this does not provide a way to provision the capacity 30 minutes before the jobs run, as it only reacts to changing traffic.

NEW QUESTION # 349
A Lambda function must execute a query against an Amazon RDS database in a private subnet. Which steps are required to allow the Lambda function to access the Amazon RDS database (Select TWO.)

A. Change the ingress rules of the Amazon RDS security group, allowing the Lambda security group
B. Create the Lambda function within the Amazon RDS VPC.
C. Create a VPC Endpoint for Amazon RDS
D. Add an Internet Gateway (IGW) to the VPC route the private subnet to the IGW
E. Change the ingress rules of Lambda security group, allowing the Amazon RDS security group

Answer: A,C

NEW QUESTION # 350
A company runs an application in a branch office within a small data closet with no virtualized compute resources. The application data is stored on an NFS volume. Compliance standards require a daily offsite backup of the NFS volume.
Which solution meet these requirements?

A. Install an AWS Storage Gateway volume gateway with stored volumes on premises to replicate the data to Amazon S3.
B. Install an AWS Storage Gateway file gateway hardware appliance on premises to replicate the data to Amazon S3.
C. Install an AWS Storage Gateway file gateway on premises to replicate the data to Amazon S3.
D. Install an AWS Storage Gateway volume gateway with cached volumes on premises to replicate the data to Amazon S3.

Answer: C

Explanation:
Explanation
https://aws.amazon.com/storagegateway/file/

NEW QUESTION # 351
An enterprise company wants to implement cost controls for all its accounts in AWS Organizations, which has full features enabled. The company has mapped organizational units (OUs) to its business units, and it wants to bill these business units for their individual AWS spending. There has been a recent spike in the company's AWS bill, which is generating attention from the Finance team. A Solutions Architect needs to investigate the cause of the spike while designing a solution that will track AWS costs in Organizations and generate a notification to the required teams if costs from a business unit exceed a specific monetary threshold.
Which solution will meet these requirements?

A. Use AWS Trusted Advisor to troubleshoot the reason for the additional costs. Set up an AWS Lambda function to monitor the company's AWS bill by each AWS account in an OU. Store the threshold amount set by the Finance team in the AWS Systems Manager Parameter Store. Write custom rules in the Lambda function to verify any hidden costs for the AWS accounts. Trigger an email to the required teams from the Lambda function using Amazon SNS when a budget threshold is breached.
B. Use AWS Trusted Advisor to troubleshoot the reason for the additional costs. Create a budget using AWS Budgets with the monetary amount set by the Finance team for each OU by grouping the linked accounts. Add the Amazon EC2 instance types to be used in the company as a budget filter. Configure an Amazon SNS topic with a subscription for the Finance team email address to receive budget notifications.
C. Use Cost Explorer to troubleshoot the reason for the additional costs. Create a budget using AWS Budgets with the monetary amount set by the Finance team for each OU by grouping the linked accounts. Configure an Amazon SNS notification to the required teams in the budget.
D. Use Cost Explorer to troubleshoot the reason for the additional costs. Set up an AWS Lambda function to monitor the company's AWS bill by each AWS account in an OU. Store the threshold amount set by the Finance team in the AWS Systems Manager Parameter Store. Write the custom rules in the Lambda function to verify any hidden costs for the AWS accounts. Trigger a notification from the Lambda function to an Amazon SNS topic when a budget threshold is breached.

Answer: C

NEW QUESTION # 352
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