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The SAA-C03 exam covers a wide range of topics, including AWS core services such as Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), and Amazon Relational Database Service (RDS). It also covers advanced topics like AWS Identity and Access Management (IAM), AWS Elastic Beanstalk, and AWS Lambda. SAA-C03 Exam is designed to test your knowledge of AWS services, best practices, and solutions architecture patterns.
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The Amazon SAA-C03 Exam consists of multiple-choice and multiple-response questions, which are designed to test your understanding of AWS services and how they are used to design and deploy solutions in the cloud. SAA-C03 exam is timed and lasts for 130 minutes. To pass the exam, you must achieve a minimum score of 720 out of 1000.
Amazon SAA-C03 (Amazon AWS Certified Solutions Architect - Associate) exam is designed to validate the skills and knowledge of individuals in designing and deploying scalable, highly available, and fault-tolerant systems on the Amazon Web Services (AWS) platform. AWS Certified Solutions Architect - Associate certification is intended for IT professionals who have a minimum of one year of experience in designing and deploying AWS-based applications, as well as those who are interested in pursuing a career in cloud computing.
NEW QUESTION # 132
[Design Operationally Excellent Architectures]
A company needs to configure a real-time data ingestion architecture for its application. The company needs an API. a process that transforms data as the data is streamed, and a storage solution for the data.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: A
Explanation:
It uses Amazon Kinesis Data Firehose which is a fully managed service for delivering real-time streaming data to destinations such as Amazon S3. This service requires lessoperational overhead as compared to option A, B, and D. Additionally, it also uses Amazon API Gateway which is a fully managed service for creating, deploying, and managing APIs. These services help in reducing the operational overhead and automating the data ingestion process.
NEW QUESTION # 133
A solutions architect is designing an asynchronous application to process credit card data validation requests for a bank. The application must be secure and be able to process each request at least once.
Which solution will meet these requirements MOST cost-effectively?
Answer: D
Explanation:
Requirement Analysis: The application must process each credit card data validation request at least once, securely and cost-effectively.
SQS FIFO Queues: Ensures that each message is processed exactly once and in the exact order sent.
AWS Lambda: Using Lambda for event-driven processing ensures scalability and cost-efficiency.
SSE-SQS: Provides encryption at rest using SQS-managed keys, simplifying encryption management.
Implementation:
Set up SQS FIFO queues as the event source for Lambda.
Enable SSE-SQS for encryption.
Ensure the Lambda execution role has the necessary permissions to use the encryption keys.
Conclusion: This combination meets the requirements of security, exact-once processing, and cost-effectiveness.
Reference
Amazon SQS: Amazon SQS Documentation
AWS Lambda with SQS: Using AWS Lambda with Amazon SQS
NEW QUESTION # 134
A company is planning to store data on Amazon RDS DB instances. The company must encrypt the data at rest.
What should a solutions architect do to meet this requirement?
Answer: A
NEW QUESTION # 135
A manufacturing company has machine sensors that upload .csv files to an Amazon S3 bucket. These .csv files must be converted into images and must be made available as soon as possible for the automatic generation of graphical reports.
The images become irrelevant after 1 month, but the .csv files must be kept to train machine learning (ML) models twice a year. The ML trainings and audits are planned weeks in advance.
Which combination of steps will meet these requirements MOST cost-effectively? (Select TWO.)
Answer: A,B
Explanation:
Explanation
These answers are correct because they meet the requirements of converting the .csv files into images, making them available as soon as possible, and minimizing the storage costs. AWS Lambda is a service that lets you run code without provisioning or managing servers. You can use AWS Lambda to design a function that converts the .csv files into images and stores the images in the S3 bucket. You can invoke the Lambda function when a .csv file is uploaded to the S3 bucket by using an S3 event notification. This way, you can ensure that the images are generated and made available as soon as possible for the graphical reports. S3 Lifecycle is a feature that enables you to manage your objects so that they are stored cost effectively throughout their lifecycle. You can create S3 Lifecycle rules for .csv files and image files in the S3 bucket to transition them to different storage classes or expire them based on your business needs. You can transition the
.csv files from S3 Standard to S3 Glacier 1 day after they are uploaded, since they are only needed twice a year for ML trainings and audits that are planned weeks in advance. S3 Glacier is a storage class for data archiving that offers secure, durable, and extremely low-cost storage with retrieval times ranging from minutes to hours.
You can expire the image files after 30 days, since they become irrelevant after 1 month.
References:
* https://docs.aws.amazon.com/lambda/latest/dg/welcome.html
* https://docs.aws.amazon.com/AmazonS3/latest/userguide/NotificationHowTo.html
* https://docs.aws.amazon.com/AmazonS3/latest/userguide/object-lifecycle-mgmt.html
* https://docs.aws.amazon.com/AmazonS3/latest/userguide/storage-class-intro.html#sc-glacier
NEW QUESTION # 136
[Design Secure Architectures]
A data analytics company wants to migrate its batch processing system to AWS. The company receives thousands of small data files periodically during the day through FTP. A on-premises batch job processes the data files overnight. However, the batch job takes hours to finish running.
The company wants the AWS solution to process incoming data files are possible with minimal changes to the FTP clients that send the files. The solution must delete the incoming data files the files have been processed successfully. Processing for each file needs to take 3-8 minutes.
Which solution will meet these requirements in the MOST operationally efficient way?
Answer: A
Explanation:
This option is the most operationally efficient because it uses AWS Transfer Family to create an FTP server that can store incoming files in Amazon S3 Standard12, which is a low-cost and highly available storage service. It also uses AWS Lambda to process the files and delete them after they are processed, which is a serverless and scalable solution that does not require any batch scheduling or infrastructure management. It also uses S3 event notifications to invoke the Lambda function when the files arrive, which enables near real-time processing of the incoming data files3. Option A is less efficient because it uses Amazon S3 Glacier Flexible Retrieval, which is a cold storage class that has higher retrieval costs and longer retrieval times than Amazon S3 Standard. It also uses EventBridge rules to invoke the job nightly, which does notmeet the requirement of processing incoming data files as soon as possible. Option B is less efficient because it uses an EBS volume to store incoming files, which is a block storage service that has higher costs and lower durability than Amazon S3. It also uses EventBridge rules to invoke the job nightly, which does not meet the requirement of processing incoming data files as soon as possible. Option C is less efficient because it uses an EBS volume to store incoming files, which is a block storage service that has higher costs and lower durability than Amazon S3. It also uses AWS Batch to process the files, which requires managing compute resources and job queues.
NEW QUESTION # 137
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