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The Amazon SAA-C03 exam consists of 65 multiple-choice and multiple-response questions that need to be completed within 130 minutes. SAA-C03 exam is available in English, Japanese, Korean, and Simplified Chinese. SAA-C03 Exam Fee is $150, and it can be taken at any Pearson VUE testing center or online with the AWS online proctoring service.

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The SAA-C03 Certification Exam consists of 65 multiple-choice and multiple-response questions that must be completed within 130 minutes. SAA-C03 exam covers various topics such as AWS infrastructure, security, networking, databases, storage, and cost optimization. To pass the exam, candidates must demonstrate their ability to design and deploy scalable, highly available, and fault-tolerant systems on the AWS platform. Successful candidates will receive the AWS Certified Solutions Architect - Associate certification, which is recognized globally and demonstrates their expertise in designing and deploying cloud-based solutions on the AWS platform.

Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q30-Q35):

NEW QUESTION # 30
[Design Secure Architectures]
A company needs to migrate a MySQL database from an on-premises data center to AWS within 2 weeks. The database is 180 TB in size. The company cannot partition the database.
The company wants to minimize downtime during the migration. The company's internet connection speed is 100 Mbps.
Which solution will meet these requirements?

A. Order an AWS Snowball Edge Storage Optimized device. Use AWS Database Migration Service (AWS DMS) and the AWS Schema Conversion Tool (AWS SCT) to migrate the database to Amazon RDS for MySQL and replicate ongoing changes. Send the Snowball Edge device back to AWS to finish the migration. Continue to replicate ongoing changes.
B. Establish a 10 Gbps dedicated AWS Direct Connect connection between the data center and AWS. Use AWS DataSync to replicate the database to Amazon S3. Create a script to import the data from Amazon S3 to a new Amazon RDS for MySQL database instance.
C. Establish an AWS Site-to-Site VPN connection between the data center and AWS. Use AWS Database Migration Service (AWS DMS) and the AWS Schema Conversion Tool (AWS SCT) to migrate the database to Amazon RDS tor MySQL and replicate ongoing changes.
D. Use the company's existing internet connection. Use AWS DataSync to replicate the database to Amazon S3. Create a script to import the data from Amazon S3 to a new Amazon RDS for MySQL database instance.

Answer: A

Explanation:
Given the large size (180 TB) of the database and the time constraint,AWS Snowball Edge Storage Optimizedis the best solution. Snowball Edge allows for the physical transfer of large datasets to AWS efficiently without relying on slow internet connections.AWS DMSandSCTcan be used to perform ongoing replication of any changes made during the migration, ensuring minimal downtime.
Option B (VPN): Using a 100 Mbps internet connection would take far too long to transfer 180 TB.
Option C (Direct Connect): Establishing a 10 Gbps Direct Connect link might not be feasible within the 2-week timeframe.
Option D (DataSync over internet): With the existing internet connection, DataSync would also take too long.
AWS Reference:
AWS Snowball Edge
AWS DMS

NEW QUESTION # 31
An Amazon EC2 administrator created the following policy associated with an IAM group containing several users

What is the effect of this policy?

A. Users can terminate an EC2 instance in any AWS Region except us-east-1.
B. Users can terminate an EC2 instance with the IP address 10 100 100 1 in the us-east-1 Region
C. Users can terminate an EC2 instance in the us-east-1 Region when the user's source IP is
10.100.100.254.
D. Users cannot terminate an EC2 instance in the us-east-1 Region when the user's source IP is 10.100 100
254

Answer: C

Explanation:
Explanation
as the policy prevents anyone from doing any EC2 action on any region except us-east-1 and allows only users with source ip 10.100.100.0/24 to terminate instances. So user with source ip 10.100.100.254 can terminate instances in us-east-1 region.

NEW QUESTION # 32
A company containerized a Windows job that runs on .NET 6 Framework under a Windows container. The company wants to run this job in the AWS Cloud. The job runs every 10 minutes. The job's runtime varies between 1 minute and 3 minutes.
Which solution will meet these requirements MOST cost-effectively?

A. Use Amazon Elastic Container Service (Amazon ECS) on AWS Fargate to run the job. Create a scheduled task based on the container image of the job to run every 10 minutes.
B. Use Amazon Elastic Container Service (Amazon ECS) on AWS Fargate to run the job. Create a standalone task based on the container image of the job. Use Windows task scheduler to run the job every 10 minutes.
C. Create an AWS Lambda function based on the container image of the job. Configure Amazon EventBridge to invoke the function every 10 minutes.
D. Use AWS Batch to create a job that uses AWS Fargate resources. Configure the job scheduling to run every 10 minutes.

Answer: C

Explanation:
AWS Lambda supports container images as a packaging format for functions. You can use existing container development workflows to package and deploy Lambda functions as container images of up to 10 GB in size. You can also use familiar tools such as Docker CLI to build, test, and push your container images to Amazon Elastic Container Registry (Amazon ECR). You can then create an AWS Lambda function based on the container image of your job and configure Amazon EventBridge to invoke the function every 10 minutes using a cron expression. This solution will be cost-effective as you only pay for the compute time you consume when your function runs. Reference: https://docs.aws.amazon.com/lambda/latest/dg/images-create.html https://docs.aws.amazon.com/eventbridge/latest/userguide/run-lambda-schedule.html

NEW QUESTION # 33
A company has 15 employees. The company stores employee start dates in an Amazon DynamoDB table. The company wants to send an email message to each employee on the day of the employee's work anniversary. Which solution will meet these requirements with the MOST operational efficiency?

A. Create a script that scans the DynamoDB table and uses Amazon Simple Queue Service {Amazon SQS) to send email messages to employees when necessary. Use a cron job to run this script every day on an Amazon EC2 instance.
B. Create an AWS Lambda function that scans the DynamoDB table and uses Amazon Simple Notification Service (Amazon SNS) to send email messages to employees when necessary.
Schedule this Lambda function to run every day.
C. Create a script that scans the DynamoDB table and uses Amazon Simple Notification Service (Amazon SNS) to send email messages to employees when necessary. Use a cron job to run this script every day on an Amazon EC2 instance.
D. Create an AWS Lambda function that scans the DynamoDB table and uses Amazon Simple Queue Service (Amazon SQS) to send email messages to employees when necessary Schedule this Lambda function to run every day.

Answer: B

Explanation:
AWS Lambda for Operational Efficiency:
AWS Lambdais a serverless compute service that allows you to run code without provisioning or managing servers. It automatically scales based on the number of invocations and eliminates the need to maintain and monitor EC2 instances, making it far more operationally efficient compared to running a cron job on EC2.
By using Lambda, you pay only for the compute time that your function uses. This is especially beneficial when dealing with lightweight tasks, such as scanning a DynamoDB table and sending email messages once a day.
Amazon DynamoDB:
DynamoDBis a highly scalable, fully managed NoSQL database. The table stores employee start dates, and scanning the table to find the employees who have a work anniversary on the current day is a lightweight operation. Lambda can easily perform this operation using theDynamoDB Scan APIor queries, depending on how the data is structured.
Amazon SNS for Email Notifications:
Amazon Simple Notification Service (SNS)is a fully managed messaging service that supports sending notifications to a variety of endpoints, including email. SNS is well-suited for sendingout email messages to employees, as it can handle the fan-out messaging pattern (sending the same message to multiple recipients).
In this scenario, once Lambda identifies employees who have their work anniversaries, it can use SNS to send the email notifications efficiently. SNS integrates seamlessly with Lambda, and sending emails via SNS is a common pattern for this type of use case.
Event Scheduling:
To automate this daily task, you can schedule the Lambda function usingAmazon EventBridge (formerly CloudWatch Events). EventBridge can trigger the Lambda function on a daily schedule (cron-like scheduling). This avoids the complexity and operational overhead of manually setting up cron jobs on EC2 instances.
Why Not EC2 or SQS?
Option A & B suggest running a cron job on anAmazon EC2instance. This approach requires you to manage, scale, and patch the EC2 instance, which increases operational overhead. Lambda is a better choice because it automatically scales and doesn't require server management. Amazon Simple Queue Service (SQS) is ideal for decoupling distributed systems but isn't necessary in this context because the goal is to send notifications to employees on their work anniversaries.
SQS adds unnecessary complexity for this straightforward use case, where SNS is the simpler and more efficient solution.

NEW QUESTION # 34
A company has a web application in the AWS Cloud and wants to collect transaction data in real time. The company wants to prevent data duplication and does not want to manage infrastructure. The company wants to perform additional processing on the data after the data is collected.
Which solution will meet these requirements?

A. Set up an AWS Step Functions state machine to send incoming transaction data to an AWS Lambda function to remove duplicate data. Launch an Amazon EC2 instance that runs a custom script to process the data.
B. Configure an Amazon Simple Queue Service (Amazon SQS) FIFO queue Use an AWS Batch job to remove duplicate data from the queue Configure an AWS Lambda function to process the data.
C. Configure an Amazon Simple Queue Service (Amazon SOS) FIFO queue. Configure an AWS Lambda function with an event source mapping for the FIFO queue to process the data.
D. Use Amazon Kinesis Data Streams to send the Incoming transaction data to an AWS Batch job that removes duplicate data. Launch an Amazon EC2 instance that runs a custom script lo process the data.

Answer: C

Explanation:
Understanding the Requirement: The company needs to collect transaction data in real time, avoid data duplication, and perform additional processing without managing infrastructure.
Analysis of Options:
SQS FIFO Queue with Lambda: Ensures data is processed in order and prevents duplication. Lambda handles processing without the need to manage servers.
SQS FIFO Queue with AWS Batch: While this ensures no duplicates, it introduces additional complexity and management overhead with AWS Batch.
Kinesis Data Streams with AWS Batch and EC2: Involves more components and infrastructure management, which is against the requirement of not wanting to manage infrastructure.
Step Functions with Lambda and EC2: Involves setting up multiple services and still requires managing EC2 instances, increasing complexity.
Best Solution:
SQS FIFO Queue with Lambda: This combination ensures real-time data processing, prevents duplication, and minimizes infrastructure management, meeting all requirements efficiently.
Reference:
Amazon SQS FIFO Queues
AWS Lambda and SQS Integration

NEW QUESTION # 35
......

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