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The SAA-C03 certification is valuable for professionals who are looking to advance their careers in cloud computing and AWS. It provides recognition of their skills and knowledge in designing and deploying AWS solutions and validates their ability to work with AWS services and technologies. Additionally, this certification can open up new job opportunities and increase earning potential for the certified professionals.
Amazon SAA-C03 Exam is a certification exam for individuals who want to become an AWS Certified Solutions Architect – Associate. SAA-C03 Exam is designed to test the candidate's knowledge and skills in designing, deploying, and managing scalable, highly available, and fault-tolerant systems on the AWS platform. SAA-C03 exam is intended for individuals who have experience working with AWS services and have knowledge of the core AWS services, including EC2, S3, VPC, and RDS.
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Amazon SAA-C03 exam is the latest version of the Amazon AWS Certified Solutions Architect - Associate certification exam. It is designed to test the candidate's knowledge and skills in designing and deploying scalable, highly available, and fault-tolerant systems on the AWS platform. The SAA-C03 Exam covers a wide range of topics, including AWS architecture, networking, security, storage, database, compute, and AWS services.
Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q569-Q574):
NEW QUESTION # 569
A company hosts an application that allows authorized users to upload and download documents. The application uses Amazon EC2 instances and an Amazon Elastic File System (Amazon EFS) file system.
The company plans to deploy the application into a second AWS Region. The company will launch a new EFS file system and a new set of EC2 instances in the second Region. A solutions architect must develop a highly available and fault-tolerant solution to establish two-way synchronization across the Regions.
Which solution will meet these requirements?
- A. Set up one AWS DataSync agent in each Region. Configure Amazon EFS VPC endpoints, EFS transfer locations, and EFS transfer tasks with opposite directions on the two DataSync agents.
- B. Set up EFS replication between the two EFS file systems. Set the new file system as the source. Set the original file system in the first Region as the destination. Turn off overwrite protection for the destination file system.
- C. Mount the EFS file system in the second Region to the new set of EC2 instances in the second Region.
Use AWS Transfer Family to establish SFTP access to the EFS file system in the original Region.
Configure an rsync cron job to run every 5 minutes. - D. Create an Amazon EFS VPC endpoint for the original EFS file system in the second Region. Mount both the original and the new EFS file system to the new set of EC2 instances in the second Region.
Configure an rsync cron job to run every 5 minutes.
Answer: A
Explanation:
AWS DataSync provides managed, incremental, parallelized transfers between EFS file systems across Regions, supporting scheduled or continuously running tasks with automatic change detection, encryption in transit, and integrity verification. You can configure two tasks in opposite directions (bi-directional) to achieve two-way synchronization with high availability using agents in each Region and EFS locations connected via VPC endpoints. Native EFS replication (B) is one-way (read-only target) and not intended for active/active two-way sync. Options A and D rely on custom rsync and cross-Region mounts or SFTP, which introduce operational overhead, latency, and fail to provide resilient, managed synchronization. DataSync minimizes operational burden while delivering fault-tolerant, scalable, cross-Region EFS sync.
References: AWS DataSync - EFS-to-EFS transfers, scheduling, incremental sync; Amazon EFS - replication overview (one-way), multi-Region patterns; Well-Architected Reliability - use managed data transfer services.
NEW QUESTION # 570
A company produces batch data that comes from different databases. The company also produces live stream data from network sensors and application APIs. The company needs to consolidate all the data into one place for business analytics. The company needs to process the incoming data and then stage the data in different Amazon S3 buckets. Teams will later run one-time queries and import the data into a business intelligence tool to show key performance indicators (KPIs).
Which combination of steps will meet these requirements with the LEAST operational overhead? (Choose two.)
- A. Use Amazon Kinesis Data Analytics for one-time queries Use Amazon QuickSight to create dashboards for KPIs
- B. Create custom AWS Lambda functions to move the individual records from me databases to an Amazon Redshift duster
- C. Use blueprints in AWS Lake Formation to identify the data that can be ingested into a data lake Use AWS Glue to crawl the source extract the data and load the data into Amazon S3 in Apache Parquet format
- D. Use an AWS Glue extract transform, and toad (ETL) job to convert the data into JSON format Load the data into multiple Amazon OpenSearch Service (Amazon Elasticsearch Service) dusters
- E. Use Amazon Athena foe one-time queries Use Amazon QuickSight to create dashboards for KPIs
Answer: B,C
NEW QUESTION # 571
A social media company wants to allow its users to upload images in an application that is hosted in the AWS Cloud. The company needs a solution that automatically resizes the images so that the images can be displayed on multiple device types. The application experiences unpredictable traffic patterns throughout the day. The company is seeking a highly available solution that maximizes scalability.
What should a solutions architect do to meet these requirements?
- A. Create a dynamic website hosted on a web server that runs on an Amazon EC2 instance Configure a process that runs on the EC2 instance to resize the images and store the images in an Amazon S3 bucket.
- B. Create a dynamic website hosted on an automatically scaling Amazon Elastic Container Service (Amazon ECS) cluster that creates a resize job in Amazon Simple Queue Service (Amazon SQS). Set up an image-resizing program that runs on an Amazon EC2 instance to process the resize jobs
- C. Create a static website hosted in Amazon CloudFront that invokes AWS Step Functions to resize the images and store the images in an Amazon RDS database.
- D. Create a static website hosted in Amazon S3 that invokes AWS Lambda functions to resize the images and store the images in an Amazon S3 bucket.
Answer: D
Explanation:
By using Amazon S3 and AWS Lambda together, you can create a serverless architecture that provides highly scalable and available image resizing capabilities. Here's how the solution would work: Set up an Amazon S3 bucket to store the original images uploaded by users. Configure an event trigger on the S3 bucket to invoke an AWS Lambda function whenever a new image is uploaded. The Lambda function can be designed to retrieve the uploaded image, perform the necessary resizing operations based on device requirements, and store the resized images back in the S3 bucket or a different bucket designated for resized images. Configure the Amazon S3 bucket to make the resized images publicly accessible for serving to users.
NEW QUESTION # 572
A company uses Amazon Elastic Kubernetes Service (Amazon EKS) to run a container application. The EKS cluster stores sensitive information in the Kubernetes secrets object. The company wants to ensure that the information is encrypted Which solution will meet these requirements with the LEAST operational overhead?
- A. Use the container application to encrypt the information by using AWS Key Management Service (AWS KMS).
- B. Enable secrets encryption in the EKS cluster by using AWS Key Management Service (AWS KMS)_
- C. use AWS Systems Manager Parameter Store to encrypt the information by using AWS Key Management Service (AWS KMS).
- D. Implement an AWS Lambda tuncuon to encrypt the information by using AWS Key Management Service (AWS KMS).
Answer: B
Explanation:
it allows the company to encrypt the Kubernetes secrets object in the EKS cluster with the least operational overhead. By enabling secrets encryption in the EKS cluster, the company can use AWS Key Management Service (AWS KMS) to generate and manage encryption keys for encrypting and decrypting secrets at rest. This is a simple and secure way to protect sensitive information in EKS clusters. Reference:
Encrypting Kubernetes secrets with AWS KMS
Kubernetes Secrets
NEW QUESTION # 573
A company is building a new application that uses multiple serverless architecture components. The application architecture includes an Amazon API Gateway REST API and AWS Lambda functions to manage incoming requests.
The company needs a service to send messages that the REST API receives to multiple target Lambda functions for processing. The service must filter messages so each target Lambda function receives only the messages the function needs.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Send the requests from the REST API to an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe multiple Amazon Simple Queue Service (Amazon SQS) queues to the SNS topic. Configure the target Lambda functions to poll the SQS queues.
- B. Send the requests from the REST API to Amazon Managed Streaming for Apache Kafka (Amazon MSK). Configure Amazon MSK to publish the messages to the target Lambda functions.
- C. Send the requests from the REST API to multiple Amazon Simple Queue Service (Amazon SQS) queues. Configure the target Lambda functions to poll the SQS queues.
- D. Send the requests from the REST API to a set of Amazon EC2 instances that are configured to process messages. Configure the instances to filter messages and to invoke the target Lambda functions.
Answer: B
NEW QUESTION # 574
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