Amazon-Web-Services SAA-C03 Practice Exam Questions

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AWS SAA-C03 Dumps – Your Key to Success in the AWS Certified Solutions Architect – Associate Exam

SAA-C03 is the Amazon Web Services (AWS) Certified Solutions Architect – Associate certification exam code. This exam is designed to test an individuals knowledge and skills in architecting and deploying secure and robust applications on AWS. The exam covers various AWS services and solutions topics, including computing, storage, database, networking, security, and more.

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SAA-C03 is the Amazon Web Services (AWS) Certified Solutions Architect – Associate certification exam code. This exam is designed to test an individual knowledge and skills in architecting and deploying secure and robust applications on AWS. The SAA-C03 exam covers various AWS services and solutions topics, including computing, storage, database, networking, security, and more.

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SAA-C03 Test 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.





An ecommerce company hosts its analytics application in the AWS Cloud. The application
generates about 300 MB of data each month. The data is stored in JSON format. The
company is evaluating a disaster recovery solution to back up the data. The data must be
accessible in milliseconds if it is needed, and the data must be kept for 30 days.
Which solution meets these requirements MOST cost-effectively?

   

Amazon OpenSearch Service (Amazon Elasticsearch Service)

   

Amazon S3 Glacier

   

Amazon S3 Standard

   

Amazon RDS for PostgreSQL


Amazon S3 Standard






A company wants to run a gaming application on Amazon EC2 instances that are part of an
Auto Scaling group in the AWS Cloud. The application will transmit data by using UDP
packets. The company wants to ensure that the application can scale out and in as traffic
increases and decreases.
What should a solutions architect do to meet these requirements?

   

Attach a Network Load Balancer to the Auto Scaling group

   

Attach an Application Load Balancer to the Auto Scaling group.

   

Deploy an Amazon Route 53 record set with a weighted policy to route traffic
appropriately

   

Deploy a NAT instance that is configured with port forwarding to the EC2 instances in
the Auto Scaling group.


Attach an Application Load Balancer to the Auto Scaling group.






A company hosts its application on AWS The company uses Amazon Cognito to manage
users When users log in to the application the application fetches required data from
Amazon DynamoOB by using a REST API that is hosted in Amazon API Gateway. The
company wants an AWS managed solution that will control access to the REST API to
reduce
development efforts
Which solution will meet these requirements with the LEAST operational overhead?

   

Configure an AWS Lambda function to be an authorize! in API Gateway to validate
which user made the request

   

For each user, create and assign an API key that must be sent with each request Validate the key by using an AWS Lambda function

   

Send the user's email address in the header with every request Invoke an AWS Lambda
function to validate that the user with that email address has proper access

   

Configure an Amazon Cognito user pool authorizer in API Gateway to allow Amazon
Cognito to validate each request


Configure an Amazon Cognito user pool authorizer in API Gateway to allow Amazon
Cognito to validate each request






A company has a data ingestion workflow that includes the following components:
• An Amazon Simple Notation Service (Amazon SNS) topic that receives notifications about
new data deliveries
• An AWS Lambda function that processes and stores the data
The ingestion workflow occasionally fails because of network connectivity issues. When
tenure occurs the corresponding data is not ingested unless the company manually reruns
the job. What should a solutions architect do to ensure that all notifications are eventually
processed?

   

Configure the Lambda function (or deployment across multiple Availability Zones

   

Modify me Lambda functions configuration to increase the CPU and memory allocations
tor the (unction

   

Configure the SNS topic's retry strategy to increase both the number of retries and the
wait time between retries

   

Configure an Amazon Simple Queue Service (Amazon SQS) queue as the on failure
destination Modify the Lambda function to process messages in the queue


Configure the Lambda function (or deployment across multiple Availability Zones






An image-processing company has a web application that users use to upload images. The
application uploads the images into an Amazon S3 bucket. The company has set up S3
event notifications to publish the object creation events to an Amazon Simple Queue
Service (Amazon SQS) standard queue. The SQS queue serves as the event source for an
AWS Lambda function that processes the images and sends the results to users through
email.
Users report that they are receiving multiple email messages for every uploaded image. A
solutions architect determines that SQS messages are invoking the Lambda function more
than once, resulting in multiple email messages.
What should the solutions architect do to resolve this issue with the LEAST operational
overhead?

   

Set up long polling in the SQS queue by increasing the ReceiveMessage wait time to 30
seconds.

   

Change the SQS standard queue to an SQS FIFO queue. Use the message
deduplication ID to discard duplicate messages.

   

Increase the visibility timeout in the SQS queue to a value that is greater than the total of
the function timeout and the batch window timeout.

   

Modify the Lambda function to delete each message from the SQS queue immediately
after the message is read before processing.


Increase the visibility timeout in the SQS queue to a value that is greater than the total of
the function timeout and the batch window timeout.






A company hosts more than 300 global websites and applications. The company requires a
platform to analyze more than 30 TB of clickstream data each day.
What should a solutions architect do to transmit and process the clickstream data?

   

Design an AWS Data Pipeline to archive the data to an Amazon S3 bucket and run an Amazon EMR duster with the data to generate analytics

   

Create an Auto Scaling group of Amazon EC2 instances to process the data and send it
to an Amazon S3 data lake for Amazon Redshift to use tor analysis

   

Cache the data to Amazon CloudFron: Store the data in an Amazon S3 bucket When an
object is added to the S3 bucket, run an AWS Lambda function to process the data tor
analysis.

   

Collect the data from Amazon Kinesis Data Streams. Use Amazon Kinesis Data
Firehose to transmit the data to an Amazon S3 data lake Load the data in Amazon Redshift
for analysis


Collect the data from Amazon Kinesis Data Streams. Use Amazon Kinesis Data
Firehose to transmit the data to an Amazon S3 data lake Load the data in Amazon Redshift
for analysis






A company runs a global web application on Amazon EC2 instances behind an Application
Load Balancer The application stores data in Amazon Aurora. The company needs to
create a disaster recovery solution and can tolerate up to 30 minutes of downtime and
potential data loss. The solution does not need to handle the load when the primary
infrastructure is healthy
What should a solutions architect do to meet these requirements?

   

Deploy the application with the required infrastructure elements in place Use Amazon
Route 53 to configure active-passive failover Create an Aurora Replica in a second AWS
Region

   

Host a scaled-down deployment of the application in a second AWS Region Use
Amazon Route 53 to configure active-active failover Create an Aurora Replica in the
second Region

   

Replicate the primary infrastructure in a second AWS Region Use Amazon Route 53 to
configure active-active failover Create an Aurora database that is restored from the latest
snapshot

   

Back up data with AWS Backup Use the backup to create the required infrastructure in a
second AWS Region Use Amazon Route 53 to configure active-passive failover Create an
Aurora second primary instance in the second Region


Replicate the primary infrastructure in a second AWS Region Use Amazon Route 53 to
configure active-active failover Create an Aurora database that is restored from the latest
snapshot






A company hosts a two-tier application on Amazon EC2 instances and Amazon RDS. The
application's demand varies based on the time of day. The load is minimal after work hours
and on weekends. The EC2 instances run in an EC2 Auto Scaling group that is configured
with a minimum of two instances and a maximum of five instances. The application must be
available at all times, but the company is concerned about overall cost.
Which solution meets the availability requirement MOST cost-effectively?

   

Use all EC2 Spot Instances. Stop the RDS database when it is not in use.

   

Purchase EC2 Instance Savings Plans to cover five EC2 instances. Purchase an RDS
Reserved DB Instance

   

Purchase two EC2 Reserved Instances Use up to three additional EC2 Spot Instances
as needed. Stop the RDS database when it is not in use.

   

Purchase EC2 Instance Savings Plans to cover two EC2 instances. Use up to three additional EC2 On-Demand Instances as needed. Purchase an RDS Reserved DB
Instance.


Purchase EC2 Instance Savings Plans to cover two EC2 instances. Use up to three additional EC2 On-Demand Instances as needed. Purchase an RDS Reserved DB
Instance.






A company uses AWS Organizations to manage multiple AWS accounts for different
departments. The management account has an Amazon S3 bucket that contains project
reports. The company wants to limit access to this S3 bucket to only users of accounts
within the organization in AWS Organizations.
Which solution meets these requirements with the LEAST amount of operational
overhead?

   

Add the aws:PrincipalOrgID global condition key with a reference to the organization ID
to the S3 bucket policy.

   

Create an organizational unit (OU) for each department. Add the aws:PrincipalOrgPaths
global condition key to the S3 bucket policy.

   

Use AWS CloudTrail to monitor the CreateAccount, InviteAccountToOrganization,
LeaveOrganization, and RemoveAccountFromOrganization events. Update the S3 bucket
policy accordingly.

   

Tag each user that needs access to the S3 bucket. Add the aws:PrincipalTag global
condition key to the S3 bucket policy.


Add the aws:PrincipalOrgID global condition key with a reference to the organization ID
to the S3 bucket policy.


The aws:PrincipalOrgID global key provides an alternative to listing all the account IDs for
all AWS accounts in an organization. For example, the following Amazon S3 bucket policy
allows members of any account in the XXX organization to add an object into the
examtopics bucket.
{"Version": "2020-09-10",
"Statement": {
"Sid": "AllowPutObject",
"Effect": "Allow",
"Principal": "*",
"Action": "s3:PutObject",
"Resource": "arn:aws:s3:::examtopics/*",
"Condition": {"StringEquals":
{"aws:PrincipalOrgID":["XXX"]}}}}
https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_policies_conditionkeys.
html





A company has several web servers that need to frequently access a common Amazon
RDS MySQL Multi-AZ DB instance The company wants a secure method for the web
servers to connect to the database while meeting a security requirement to rotate user
credentials frequently.
Which solution meets these requirements?

   

Store the database user credentials in AWS Secrets Manager Grant the necessary IAM
permissions to allow the web servers to access AWS Secrets Manager

   

Store the database user credentials in AWS Systems Manager OpsCenter Grant the
necessary IAM permissions to allow the web servers to access OpsCenter

   

Store the database user credentials in a secure Amazon S3 bucket Grant the necessary
IAM permissions to allow the web servers to retrieve credentials and access the database.

   

Store the database user credentials in files encrypted with AWS Key Management Service
(AWS KMS) on the web server file system. The web server should be able to decrypt the
files and access the database


Store the database user credentials in AWS Secrets Manager Grant the necessary IAM
permissions to allow the web servers to access AWS Secrets Manager


Explanation: AWS Secrets Manager helps you protect secrets needed to access your
applications, services, and IT resources. The service enables you to easily rotate, manage,
and retrieve database credentials, API keys, and other secrets throughout their lifecycle.
https://docs.aws.amazon.com/secretsmanager/latest/userguide/intro.html
Secrets Manager enables you to replace hardcoded credentials in your code, including
passwords, with an API call to Secrets Manager to retrieve the secret programmatically.
This helps ensure the secret can't be compromised by someone examining your code,
because the secret no longer exists in the code. Also, you can configure Secrets Manager
to automatically rotate the secret for you according to a specified schedule. This enables
you to replace long-term secrets with short-term ones, significantly reducing the risk of
compromise.




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