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Amazon SAA-C03 Certification Exam is a highly sought-after certification that validates the skills and knowledge of professionals who work with Amazon Web Services (AWS). It is designed for individuals who have experience in designing and deploying scalable, highly available, and fault-tolerant systems on AWS. AWS Certified Solutions Architect - Associate certification exam tests the candidate's ability to architect and deploy secure and robust applications on AWS, and it covers a wide range of topics, including AWS core services, security, database technologies, and networking.
Amazon SAA-C03 (Amazon AWS Certified Solutions Architect - Associate) exam is a certification exam designed by Amazon Web Services (AWS) to test the knowledge and skills of individuals in designing and deploying scalable, highly available, and fault-tolerant systems on AWS. AWS Certified Solutions Architect - Associate certification is intended for individuals who have experience in designing and deploying applications on AWS, as well as those who are interested in learning about various AWS services and their best practices.
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Amazon SAA-C03 exam is one of the most sought-after certifications for IT professionals who are interested in cloud computing. AWS Certified Solutions Architect - Associate certification demonstrates a thorough understanding of Amazon Web Services (AWS) and solutions architecture. It is designed to test the candidates’ proficiency in designing and deploying scalable, highly available, and fault-tolerant systems on AWS. SAA-C03 Exam is considered to be quite challenging, and requires extensive preparation and hands-on experience with AWS services.
NEW QUESTION # 374
[Design Secure Architectures]
A company needs to move data from an Amazon EC2 instance to an Amazon S3 bucket. The company must ensure that no API calls and no data are routed through public internet routes. Only the EC2 instance can have access to upload data to the S3 bucket.
Which solution will meet these requirements?
Answer: B
Explanation:
(https://aws.amazon.com/blogs/security/how-to-restrict-amazon-s3-bucket-access-to-a-specific-iam-role/)
NEW QUESTION # 375
A company's reporting system delivers hundreds of .csv files to an Amazon S3 bucket each day. The company must convert these files to Apache Parquet format and must store the files in a transformed data bucket.
Which solution will meet these requirements with the LEAST development effort?
Answer: A
Explanation:
https://docs.aws.amazon.com/prescriptive-guidance/latest/patterns/three-aws-glue-etl-job-types-for- converting-data-to-apache-parquet.html AWS Glue is a serverless, fully managed ETL (Extract, Transform, and Load) service. It is specifically designed for data transformation tasks such as converting .csv files to Apache Parquet format. Using AWS Glue requires minimal development effort because it includes prebuilt transformations and integrates seamlessly with Amazon S3.
* Option A: While Amazon EMR with Apache Spark offers extensive flexibility, it requires setting up and managing a cluster, writing custom Spark code, and handling resource scaling, which increases development effort compared to AWS Glue.
* Option C: AWS Batch requires creating job definitions, specifying execution environments, and potentially writing custom scripts for the transformation process, which involves more setup compared to AWS Glue.
* Option D: AWS Lambda could handle the transformation but is better suited for smaller-scale processing or real-time transformations. Handling hundreds of files daily with Lambda would require more complex orchestration and is not the most efficient solution for this scale of batch processing.
AWS Documentation References:
* AWS Glue Overview
* Transforming Data Using AWS Glue
NEW QUESTION # 376
A company is building a data analysis platform on AWS by using AWS Lake Formation. The platform will ingest data from different sources such as Amazon S3 and Amazon RDS. The company needs a secure solution to prevent access to portions of the data that contain sensitive information.
Answer: C
Explanation:
This option is the most efficient because it uses data filters, which are specifications that restrict access to certain data in query results and engines integrated with Lake Formation1. Data filters can be used to implement row-level security and cell-level security, which are techniques to prevent access to portions of the data that contain sensitive information2. Data filters can be applied when granting Lake Formation permissions on a Data Catalog table, and can use PartiQL expressions to filter data based on conditions3. This solution meets the requirement of providing a secure solution to prevent access to portions of the data that contain sensitive information. Option A is less efficient because it uses an IAM role that includes permissions to access Lake Formation tables, which is a way to grant access to data in Lake Formation using IAM policies
4. However, this does not provide a way to prevent access to portions of the data that contain sensitive information. Option C is less efficient because it uses an AWS Lambda function that removes sensitive information before Lake Formation ingests the data, which is a way to perform data cleansing or transformation using serverless functions. However, this could involve significant changes to the application code and logic, and could also result in data loss or inconsistency. Option D is less efficient because it uses an AWS Lambda function that periodically queries and removes sensitive information from Lake Formation tables, which is a way to perform data cleansing or transformation using serverless functions. However, this could involve significant changes to the application code and logic, and could also result in data loss or inconsistency.
NEW QUESTION # 377
[Design Resilient Architectures]
A company uses AWS to host its public ecommerce website. The website uses an AWS Global Accelerator accelerator for traffic from the internet. Tt\e Global Accelerator accelerator forwards the traffic to an Application Load Balancer (ALB) that is the entry point for an Auto Scaling group.
The company recently identified a ODoS attack on the website. The company needs a solution to mitigate future attacks.
Which solution will meet these requirements with the LEAST implementation effort?
Answer: C
Explanation:
Understanding the Requirement: The company needs to mitigate DDoS attacks on its website, which uses AWS Global Accelerator to route traffic to an Application Load Balancer (ALB).
Analysis of Options:
AWS WAF on Global Accelerator: Allows for centralized protection and can block traffic based on rate-based rules, effectively mitigating DDoS attacks with minimal implementation effort.
Lambda Function and VPC Network ACL: Requires custom implementation and ongoing management, increasing complexity and effort.
AWS WAF on ALB: Provides protection but involves additional configuration and management at the ALB level.
CloudFront Distribution in front of Global Accelerator: Adds unnecessary complexity and changes the current traffic flow setup.
Best Solution:
AWS WAF on Global Accelerator: This provides the required protection with the least implementation effort, ensuring effective DDoS mitigation and maintaining the existing architecture.
Reference:
AWS WAF
Using AWS WAF with AWS Global Accelerator
NEW QUESTION # 378
A company is running several business applications in three separate VPCs within me us-east-1 Region. The applications must be able to communicate between VPCs. The applications also must be able to consistently send hundreds to gigabytes of data each day to a latency-sensitive application that runs in a single on-premises data center.
A solutions architect needs to design a network connectivity solution that maximizes cost-effectiveness Which solution moots those requirements?
Answer: C
Explanation:
https://docs.aws.amazon.com/whitepapers/latest/aws-vpc-connectivity-options/aws-direct-connect-aws-transit-ga
NEW QUESTION # 379
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