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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
Related Certifications:AWS Certified Solutions Architect - Professional
Available Languages:English, Korean, Simplified Chinese, Japanese
Exam Duration:130 minutes
Exam Format:Multiple Response, Multiple Choice
Real Exam Qty:65
Passing Score:720 / 1000
Exam Price:$150 USD
Certificate Validity Period:3 years
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 SAA-C03 exam covers various topics such as designing and deploying AWS infrastructure, selecting appropriate AWS services for a given scenario, and understanding the best practices for building secure and reliable applications on AWS. SAA-C03 Exam Format includes multiple-choice and multiple-response questions that assess the candidate's knowledge and ability to apply AWS concepts and services in real-world scenarios.

Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q640-Q645):

NEW QUESTION # 640
A company runs an application on Amazon EC2 Instances in a private subnet. The application needs to store and retrieve data in Amazon S3 buckets. According to regulatory requirements, the data must not travel across the public internet.
What should a solutions architect do to meet these requirements MOST cost-effectively?

Answer: B

Explanation:
Understanding the Requirement: The application running in a private subnet needs to store and retrieve data from S3 without data traveling over the public internet.
Analysis of Options:
NAT Gateway: Allows private subnets to access the internet but incurs additional costs and still routes traffic through the public internet.
AWS Storage Gateway: Provides hybrid cloud storage solutions but is not the most cost-effective for direct S3 access from within the VPC.
S3 Interface Endpoint: Provides private access to S3 but is generally used for specific use cases where more granular control is required, which might be overkill and more expensive.
S3 Gateway Endpoint: Provides private, cost-effective access to S3 from within the VPC without routing traffic through the public internet.
Best Solution:
S3 Gateway Endpoint: This option meets the requirements for secure, private access to S3 from a private subnet most cost-effectively.
Reference:
Amazon VPC Endpoints
Gateway Endpoints


NEW QUESTION # 641
A company uses an AWS Transfer for SFTP public server endpoint and Amazon S3 storage to host large datasets for its customers. The company provides customers SSH private keys to authenticate and download their datasets. The Transfer for SFTP server is configured with structured logging that is saved to an S3 bucket. The company wants to charge customers based on their monthly data download usage. Which solution will meet these requirements?

Answer: A

Explanation:
Comprehensive and Detailed Step-by-Step Explanation:
To accurately charge customers based on their monthly data download usage, the following solution is recommended:
* Structured Logging Configuration:
* Action:Ensure that the AWS Transfer for SFTP server is configured to log user activity, including details about file downloads, to Amazon S3 in a structured format.
* Implementation:Utilize AWS Transfer Family's structured logging feature to capture detailed information about user sessions, including actions performed and data transferred.
docs.aws.amazon.com
* Justification:Structured logs provide comprehensive data necessary for analyzing customer- specific download activities.
* Data Analysis with Amazon Athena:
* Action:Use Amazon Athena to run SQL queries on the structured log data stored in the S3 bucket to calculate the amount of data each customer has downloaded.
* Implementation:
* a.Define a Schema:Create a table in Athena that maps to the structure of your log files.
This involves specifying the format of the logs and the location in S3.
* b.Query Data:Write SQL queries to sum the total bytes downloaded by each customer over the billing period. This can be achieved by filtering logs based on user identifiers and summing the data transfer amounts.
* Justification:Athena allows for efficient querying


NEW QUESTION # 642
A company uses a 100 GB Amazon RDS for Microsoft SQL Server Single-AZ DB instance in the us-east-1 Region to store customer transactions. The company needs high availability and automate recovery for the DB instance.
The company must also run reports on the RDS database several times a year. The report process causes transactions to take longer than usual to post to the customer' accounts.
Which combination of steps will meet these requirements? (Select TWO.)

Answer: A,C

Explanation:
https://medium.com/awesome-cloud/aws-difference-between-multi-az-and-read-replicas-in-amazon-rds-60fe848


NEW QUESTION # 643
[Design High-Performing Architectures]
A company is building a three-tier application on AWS. The presentation tier will serve a static website. The logic tier is a containerized application. This application will store data in a relational database. The company wants to simplify deployment and to reduce operational costs.
Which solution will meet these requirements?

Answer: C

Explanation:
Amazon S3 is an object storage service that offers industry-leading scalability, data availability, security, and performance. You can use Amazon S3 to host static content for your website, such as HTML files, images, videos, etc. Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service that allows you to run and scale containerized applications on AWS. AWS Fargate is a serverless compute engine for containers that works with both Amazon ECS and Amazon EKS. Fargate makes it easy for you to focus on building your applications by removing the need to provision and manage servers. You can use Amazon ECS with AWS Fargate for compute power for your containerized application logic tier. Amazon RDS is a managed relational database service that makes it easy to set up, operate, and scale a relational database in the cloud. You can use a managed Amazon RDS cluster for the database tier of your application. This solution will simplify deployment and reduce operational costs for your three-tier application. Reference: https://docs.aws.amazon.com/AmazonS3/latest/userguide/WebsiteHosting.html https://docs.aws.amazon.com/AmazonECS/latest/developerguide/Welcome.htmlhttps://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Welcome.html


NEW QUESTION # 644
A company's packaged application dynamically creates and returns single-use text files in response to user requests. The company is using Amazon CloudFront for distribution, but wants to further reduce data transfer costs. The company cannot modify the application's source code.
What should a solutions architect do to reduce costs?

Answer: A

Explanation:
Lambda@Edge allows you to run functions at CloudFront edge locations, enabling modifications to content before it's delivered to users, including compression - which directly reduces data transfer cost.
"Lambda@Edge can be used to compress or modify your content before delivering it to end users, which reduces the amount of data transferred."
- Lambda@Edge Use Cases
Since code modifications aren't allowed, using Lambda@Edge is a non-invasive way to:
* Compress responses.
* Reduce transfer size = lower CloudFront cost.
Incorrect Options:
* B: S3 Transfer Acceleration improves speed, not cost.
* C: Caching doesn't help if content is always unique (single-use).
* D: Multipart uploads help with large file uploads, not transfers.
Reference:
Lambda@Edge for Content Compression
CloudFront Pricing and Cost Optimization


NEW QUESTION # 645
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