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Amazon SAA-C03 Exam Overview:

Certification Vendor:	Amazon Web Services (AWS)
Exam Name:	AWS Certified Solutions Architect - Associate
Exam Number:	SAA-C03
Available Languages:	Korean, Simplified Chinese, Japanese, English
Exam Format:	Multiple Choice, Multiple Response
Related Certifications:	AWS Certified Solutions Architect - Professional
Certificate Validity Period:	3 years
Exam Duration:	130 minutes
Passing Score:	720 / 1000
Real Exam Qty:	65
Exam Price:	$150 USD
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 Amazon SAA-C03 exam consists of multiple-choice and multiple-response questions, which are designed to test your understanding of AWS services and how they are used to design and deploy solutions in the cloud. SAA-C03 Exam is timed and lasts for 130 minutes. To pass the exam, you must achieve a minimum score of 720 out of 1000.

Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q699-Q704):

NEW QUESTION # 699
A solutions architect needs to design a solution for a high performance computing (HPC) workload. The solution must include multiple Amazon EC2 instances. Each EC2 instance requires 10 Gbps of bandwidth individually for single-flow traffic. The EC2 instances require an aggregate throughput of 100 Gbps of bandwidth across all EC2 instances. Communication between the EC2 instances must have low latency.
Which solution will meet these requirements?

A. Place the EC2 instances in multiple subnets across multiple Availability Zones. Configure a cluster placement group. Ensure that the EC2 instances support Elastic Network Adapters (ENAs) and that the drivers are updated on each instance operating system.
B. Place the EC2 instances in a single subnet of a VPC. Configure a cluster placement group. Ensure that the latest Elastic Fabric Adapter (EFA) drivers are installed on the EC2 instances with a supported operating system.
C. Place the EC2 instances in multiple VPCs. Use AWS Transit Gateway to route traffic between the VPCs. Ensure that the latest Elastic Fabric Adapter (EFA) drivers are installed on the EC2 instances with a supported operating system.
D. Place the EC2 instances in multiple subnets in a single VPC. Configure a spread placement group. Ensure that the EC2 instances support Elastic Network Adapters (ENAs) and that the drivers are updated on each instance operating system.

Answer: B

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of Amazon Web Services (AWS) Architect documents:
HPC workloads require high-throughput, low-latency networking, especially for tightly-coupled applications like weather modeling, genomics, or real-time rendering.
A cluster placement group places instances in the same Availability Zone and on physically connected hardware, reducing network latency and increasing throughput.
Elastic Fabric Adapter (EFA) is a network device for EC2 instances that enables low-latency, high-throughput networking using OS-bypass technology, ideal for tightly-coupled HPC applications.
Each instance can support single-flow 10 Gbps bandwidth using EFA, and collectively, the cluster can achieve up to 100 Gbps aggregate throughput when properly configured.
This solution supports the Performance Efficiency and Resilience design principles and is a standard AWS-recommended pattern for HPC.
Reference:
EC2 Placement Groups
Elastic Fabric Adapter Overview
Best Practices for HPC on AWS

NEW QUESTION # 700
An ecommerce company wants to launch a one-deal-a-day website on AWS. Each day will feature exactly one product on sale for a period of 24 hours. The company wants to be able to handle millions of requests each hour with millisecond latency during peak hours.
Which solution will meet these requirements with the LEAST operational overhead?

A. Use Amazon S3 to host the full website in different S3 buckets Add Amazon CloudFront distributions Set the S3 buckets as origins for the distributions Store the order data in Amazon S3
B. Deploy the full website on Amazon EC2 instances that run in Auto Scaling groups across multiple Availability Zones Add an Application Load Balancer (ALB) to distribute the website traffic Add another ALB for the backend APIs Store the data in Amazon RDS for MySQL
C. Use an Amazon S3 bucket to host the website's static content Deploy an Amazon CloudFront distribution. Set the S3 bucket as the origin Use Amazon API Gateway and AWS Lambda functions for the backend APIs Store the data in Amazon DynamoDB
D. Migrate the full application to run in containers Host the containers on Amazon Elastic Kubernetes Service (Amazon EKS) Use the Kubernetes Cluster Autoscaler to increase and decrease the number of pods to process bursts in traffic Store the data in Amazon RDS for MySQL

Answer: C

NEW QUESTION # 701
A company has a multi-tier application deployed on several Amazon EC2 instances in an Auto Scaling group.
An Amazon RDS for Oracle instance is the application's data layer that uses Oracle-specific PL/SQL functions. Traffic to the application has been steadily increasing. This is causing the EC2 instances to become overloaded and the RDS instance to run out of storage. The Auto Scaling group does not have any scaling metrics and defines the minimum healthy instance count only. The company predicts that traffic will continue to increase at a steady but unpredictable rate before levelling off.
What should a solutions architect do to ensure the system can automatically scale for the increased traffic?
(Select TWO.)

A. Configure the Auto Scaling group to use the average free memory as the seeing metric
B. Configure the Auto Scaling group to use the average CPU as the scaling metric
C. Configure storage Auto Scaling on the RDS for Oracle Instance.
D. Configure an alarm on the RDS for Oracle Instance for low free storage space
E. Migrate the database to Amazon Aurora to use Auto Scaling storage.

Answer: C,D

NEW QUESTION # 702
A company is building a containerized application on premises and decides to move the application to AWS.
The application will have thousands of users soon after li is deployed. The company Is unsure how to manage the deployment of containers at scale. The company needs to deploy the containerized application in a highly available architecture that minimizes operational overhead.
Which solution will meet these requirements?

A. Store container images in a repository that runs on an Amazon EC2 instance. Run the containers on EC2 instances that are spread across multiple Availability Zones. Monitor the average CPU utilization in Amazon CloudWatch. Launch new EC2 instances as needed
B. Create an Amazon EC2 Amazon Machine Image (AMI) that contains the container image Launch EC2 Instances in an Auto Scaling group across multiple Availability Zones. Use an Amazon CloudWatch alarm to scale out EC2 instances when the average CPU utilization threshold is breached.
C. Store container images in an Amazon Elastic Container Registry (Amazon ECR) repository. Use an Amazon Elastic Container Service (Amazon ECS) cluster with the Amazon EC2 launch type to run the containers. Use target tracking to scale automatically based on demand.
D. Store container images In an Amazon Elastic Container Registry (Amazon ECR) repository. Use an Amazon Elastic Container Service (Amazon ECS) cluster with the AWS Fargate launch type to run the containers. Use target tracking to scale automatically based on demand.

Answer: D

NEW QUESTION # 703
A company has an application that runs on Amazon EC2 instances and uses an Amazon Aurora database. The EC2 instances connect to the database by using user names and passwords that are stored locally in a file. The company wants to minimize the operational overhead of credential management.
What should a solutions architect do to accomplish this goal?

A. Create an encrypted Amazon Elastic Block Store (Amazon EBS) volume (or each EC2 instance. Attach the new EBS volume to each EC2 instance. Migrate the credential file to the new EBS volume. Point the application to the new EBS volume.
B. Use AWS Secrets Manager. Turn on automatic rotation.
C. Create an Amazon S3 bucket lo store objects that are encrypted with an AWS Key C. Management Service (AWS KMS) encryption key. Migrate the credential file to the S3 bucket. Point the application to the S3 bucket.
D. Use AWS Systems Manager Parameter Store. Turn on automatic rotation.

Answer: B

Explanation:
https://aws.amazon.com/cn/blogs/security/how-to-connect-to-aws-secrets-manager-service-within-a-virtual-private-cloud/
https://aws.amazon.com/blogs/security/rotate-amazon-rds-database-credentials-automatically-with-aws-secrets-manager/

NEW QUESTION # 704
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