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Amazon AWS-Solutions-Architect-Associate New Dumps & AWS-Solutions-Architect-Associate Exam Duration

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The AWS-Solutions-Architect-Associate exam is designed to test your understanding of various AWS services such as EC2, S3, RDS, VPC, and more. It also assesses your ability to design and deploy scalable, cost-effective, and secure applications on the AWS platform. AWS-Solutions-Architect-Associate Exam consists of multiple-choice and multiple-response questions, and you will have 130 minutes to complete it. To pass the exam, you need to score at least 720 out of 1000 points.

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AWS-Solutions-Architect-Associate Exam Duration - Latest AWS-Solutions-Architect-Associate Examprep

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The AWS Certified Solutions Architect - Associate (SAA-C02) certification is designed for individuals who are looking to validate their knowledge and expertise in designing and deploying scalable systems on Amazon Web Services (AWS). AWS Certified Solutions Architect - Associate (SAA-C02) certification is highly sought after by IT professionals who work with AWS and want to demonstrate their skills to potential employers. The AWS-Solutions-Associate exam is the official certification exam for this certification.

Amazon AWS Certified Solutions Architect - Associate (SAA-C02) Sample Questions (Q307-Q312):

NEW QUESTION # 307
A solution architect has configured the following IAM policy.

Which action will be allowed by the policy?
Which action will be allowed by the policy?

A. An AWS Lambda function can be deleted from the 100.220.0.0/20 network.
B. An AWS Lambda function can be deleted from any network.
C. An AWS Lambda function can be deleted from the 220.100.16.0/20 network
D. An AWS Lambda function can be created from any network.

Answer: C

NEW QUESTION # 308
A bank is writing new software that is heavily dependent upon the database transactions for write consistency. The application will also occasionally generate reports on data in the database, and will do joins across multiple tables. The database must automatically scale as the amount of data grows.
Which AWS service should be used to run the database?

A. Amazon DynamoDB
B. Amazon Redshift
C. Amazon Aurora
D. Amazon S3

Answer: C

Explanation:
Explanation
https://aws.amazon.com/rds/aurora/customers/

NEW QUESTION # 309
A company runs a website on Amazon EC2 instances behind an ELB Application Load Balancer Amazon Route 53 Is used for the DNS The company wants to set up a backup website with a message including a phone number and email address that users can reach if the primary website is down.
How should the company deploy this solution?

A. Deploy the application in another AWS Region and use server-side redirection on the primary website
B. Use Amazon S3 website hosting for the backup website and a Route 53 failover routing policy
C. Use Amazon S3 website hosting for the backup website and a Route 53 latency routing policy
D. Deploy the application in another AWS Region and use ELB health checks for failover routing.

Answer: B

Explanation:
Explanation
https://aws.amazon.com/blogs/aws/create-a-backup-website-using-route-53-dns-failover-and-s3-website-hosting

NEW QUESTION # 310
Do the Amazon EBS volumes persist independently from the running life of an Amazon EC2 instance?

A. No
B. Yes
C. Only if instructed to when created

Answer: B

NEW QUESTION # 311
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. 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.
B. 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%.
C. 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.
D. Ceate a dynamic scalling policy for the Auto Scaling group. Configure the policy to scale based on the CPU utilization metric to 60%.

Answer: C

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 # 312
......

AWS-Solutions-Architect-Associate Exam Duration: https://www.actual4exams.com/AWS-Solutions-Architect-Associate-valid-dump.html

P.S. Free 2025 Amazon AWS-Solutions-Architect-Associate dumps are available on Google Drive shared by Actual4Exams: https://drive.google.com/open?id=1GT73inrBS_6M3kbtJLCoavEDD0ooeXF3

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