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Amazon Web Services SAA-C03 Exam Questions


Vendor Name: Amazon Web Services
Certification Name:AWS Certified Associate
Exam Name:AWS Certified Solutions Architect - Associate (SAA-C03)

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2. AWS market dominance: Amazon Web Services (AWS) is the leading cloud services provider with a significant market share. Many organizations, ranging from startups to large enterprises, rely on AWS for their cloud infrastructure needs. As a result, there is a strong demand for professionals who understand AWS services and can help organizations effectively leverage the platform to optimize performance, security, and scalability.

3. Widely recognized and respected certifications: AWS Certified Associate certifications are globally recognized and respected in the industry. These certifications, such as AWS Certified Solutions Architect - Associate and AWS Certified Developer - Associate, validate the skills required to design and implement AWS solutions and applications. Employers value these certifications as they provide assurance of an individuals competence and proficiency in working with AWS services.

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In summary, the high demand for AWS Certified Associate certifications can be attributed to the growing adoption of cloud technology, AWS market dominance, the industry recognition of these certifications, the abundance of career opportunities, and the need to keep pace with the continuous innovation in the AWS ecosystem.

AWS Certified Solutions Architect - Associate (SAA-C03) Exams
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SAA-C03 Exam Sample Questions:



A company is developing an ecommerce application that will consist of a load-balanced
front end, a container-based application, and a relational database. A solutions architect
needs to create a highly available solution that operates with as little manual intervention
as possible.
Which solutions meet these requirements? (Select TWO.)

 

Create an Amazon RDS DB instance in Multi-AZ mode.

 

Create an Amazon RDS DB instance and one or more replicas in another Availability
Zone.

 

Create an Amazon EC2 in stance-based Docker cluster to handle the dynamic
application load.

 

Create an Amazon Elastic Container Service (Amazon ECS) cluster with a Fargate
launch type to handle the dynamic application load.

 

Create an Amazon Elastic Container Service (Amazon ECS) cluster with an Amazon
EC2 launch type to handle the dynamic application load.


Create an Amazon RDS DB instance in Multi-AZ mode.


Create an Amazon Elastic Container Service (Amazon ECS) cluster with a Fargate
launch type to handle the dynamic application load.


Explanation:
https://docs.aws.amazon.com/AmazonECS/latest/developerguide/Welcome.html
1. Relational database: RDS
2. Container-based applications: ECS
"Amazon ECS enables you to launch and stop your container-based applications by using
simple API calls. You can also retrieve the state of your cluster from a centralized service
and have access to many familiar Amazon EC2 features."
3. Little manual intervention: Fargate
You can run your tasks and services on a serverless infrastructure that is managed by
AWS Fargate. Alternatively, for more control over your infrastructure, you can run your
tasks and services on a cluster of Amazon EC2 instances that you manage.




A hospital recently deployed a RESTful API with Amazon API Gateway and AWS Lambda
The hospital uses API Gateway and Lambda to upload reports that are in PDF format and
JPEG format The hospital needs to modify the Lambda code to identify protected health
information (PHI) in the reports
Which solution will meet these requirements with the LEAST operational overhead?

 

Use existing Python libraries to extract the text from the reports and to identify the PHI
from the extracted text.

 

Use Amazon Textract to extract the text from the reports Use Amazon SageMaker to
identify the PHI from the extracted text.

 

Use Amazon Textract to extract the text from the reports Use Amazon Comprehend
Medical to identify the PHI from the extracted text

 

Use Amazon Rekognition to extract the text from the reports Use Amazon Comprehend
Medical to identify the PHI from the extracted text


Use Amazon Textract to extract the text from the reports Use Amazon Comprehend
Medical to identify the PHI from the extracted text





A corporation has recruited a new cloud engineer who should not have access to the
CompanyConfidential Amazon S3 bucket. The cloud engineer must have read and write
permissions on an S3 bucket named AdminTools. Which IAM policy will satisfy these criteria?

 

Option A

 

Option B

 

Option C

 

Option D


Option A


Explanation:
https://docs.amazonaws.cn/en_us/IAM/latest/UserGuide/reference_policies_examples_s3_
rw-bucket.html




A company selves a dynamic website from a flee! of Amazon EC2 instances behind an
Application Load Balancer (ALB) The website needs to support multiple languages to serve
customers around the world The website's architecture is running in the us-west-1 Region
and is exhibiting high request lalency tor users that are located in other parts ot the world The website needs to serve requests quickly and efficiently regardless of a user's location
However the company does not want to recreate the existing architecture across multiple
Regions
What should a solutions architect do to meet these requirements?

 

Replace the existing architecture with a website that is served from an Amazon S3
bucket Configure an Amazon CloudFront distribution with the S3 bucket as the ongin Set
the cache behavior settings to cache based on the Accept-Languege request header

 

Configure an Amazon CloudFront distribution with the ALB as the origin Set Ihe cache
behavior settings to cache based on the Accept-Language request header

 

Create an Amazon API Gateway API that is integrated with the ALB Configure the API
to use the HTTP integration type Set up an API Gateway stage to enable the API cache
based on the Accept-Language request header

 

Launch an EC2 instance in each additional Region and configure NGINX to act as a
cache server for that Region Put all the EC2 instances and the ALB behind an Amazon
Route 53 record set with a geotocation routing policy


Configure an Amazon CloudFront distribution with the ALB as the origin Set Ihe cache
behavior settings to cache based on the Accept-Language request header





A company runs its Infrastructure on AWS and has a registered base of 700.000 users for
res document management application The company intends to create a product that
converts large pdf files to jpg Imago files. The .pdf files average 5 MB in size. The company
needs to store the original files and the converted files. A solutions architect must design a
scalable solution to accommodate demand that will grow rapidly over lime.
Which solution meets these requirements MOST cost-effectively?

 

Save the pdf files to Amazon S3 Configure an S3 PUT event to invoke an AWS Lambda
function to convert the files to jpg format and store them back in Amazon S3

 

Save the pdf files to Amazon DynamoDB. Use the DynamoDB Streams feature to
invoke an AWS Lambda function to convert the files to jpg format and store them hack in
DynamoDB

 

Upload the pdf files to an AWS Elastic Beanstalk application that includes Amazon EC2
instances. Amazon Elastic Block Store (Amazon EBS) storage and an Auto Scaling group.
Use a program In the EC2 instances to convert the files to jpg format Save the .pdf files
and the .jpg files In the EBS store.

 

Upload the .pdf files to an AWS Elastic Beanstalk application that includes Amazon EC2
instances, Amazon Elastic File System (Amazon EPS) storage, and an Auto Scaling group.
Use a program in the EC2 instances to convert the file to jpg format Save the pdf files and
the jpg files in the EBS store.


Save the pdf files to Amazon S3 Configure an S3 PUT event to invoke an AWS Lambda
function to convert the files to jpg format and store them back in Amazon S3


Explanation: Elastic BeanStalk is expensive, and DocumentDB has a 400KB max to
upload files. So Lambda and S3 should be the one.


How to Pass Amazon Web Services SAA-C03 Exam?