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To be eligible to take the Amazon SAA-C03 Certification Exam, candidates need to have a minimum of one year of experience in designing and deploying cloud architecture on AWS. Additionally, candidates need to have a good understanding of AWS services, including compute, storage, networking, and security. AWS Certified Solutions Architect - Associate certification exam is designed to evaluate the candidate’s knowledge of AWS services and their ability to design and deploy scalable, highly available, and fault-tolerant systems on the AWS platform.
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To become an Amazon AWS Certified Solutions Architect - Associate, candidates must pass the SAA-C03 exam, which consists of 65 multiple-choice and multiple-response questions. SAA-C03 exam duration is 130 minutes, and candidates must achieve a minimum score of 720 out of 1000 to pass the exam. SAA-C03 Exam Fee is $150, and it can be taken at any Pearson VUE testing center worldwide or online through a proctored exam.
NEW QUESTION # 602
A company uses multiple vendors to distribute digital assets that are stored in Amazon S3 buckets The company wants to ensure that its vendor AWS accounts have the minimum access that is needed to download objects in these S3 buckets Which solution will meet these requirements with the LEAST operational overhead?
Answer: D
Explanation:
A cross-account IAM role is a way to grant users from one AWS account access to resources in another AWS account. The cross-account IAM role can have a read-only access policy attached to it, which allows the users to download objects from the S3 buckets without modifying or deleting them. The cross-account IAM role also reduces the operational overhead of managing multiple IAM users and policies in each account. The cross-account IAM role meets all the requirements of the question, while the other options do not. References:
https://docs.aws.amazon.com/AmazonS3/latest/userguide/example-walkthroughs-managing-access-example2.
html
https://aws.amazon.com/blogs/storage/setting-up-cross-account-amazon-s3-access-with-s3-access-points/
https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_create_for-user_externalid.html
NEW QUESTION # 603
A company needs to extract the names of ingredients from recipe records that are stored as text files in an Amazon S3 bucket A web application will use the ingredient names to query an Amazon DynamoDB table and determine a nutrition score.
The application can handle non-food records and errors The company does not have any employees who have machine learning knowledge to develop this solution Which solution will meet these requirements MOST cost-effectively?
Answer: A
Explanation:
This solution meets the following requirements:
It is cost-effective, as it only uses serverless components that are charged based on usage and do not require any upfront provisioning or maintenance.
It is scalable, as it can handle any number of recipe records that are uploaded to the S3 bucket without any performance degradation or manual intervention.
It is easy to implement, as it does not require any machine learning knowledge or complex data processing logic. Amazon Comprehend is a natural language processing service that can automatically extract entities such as ingredients from text files. The Lambda function can simply invoke the Comprehend API and store the results in the DynamoDB table.
It is reliable, as it can handle non-food records and errors gracefully. Amazon Comprehend can detect the language and domain of the text files and return an appropriate response. The Lambda function can also implement error handling and logging mechanisms to ensure the data quality and integrity.
Reference:
Using AWS Lambda with Amazon S3 - AWS Lambda
What Is Amazon Comprehend? - Amazon Comprehend
Working with Tables - Amazon DynamoDB
NEW QUESTION # 604
A hospital wants to create digital copies for its large collection of historical written records. The hospital will continue to add hundreds of new documents each day. The hospital's data team will scan the documents and will upload the documents to the AWS Cloud.
A solutions architect must implement a solution to analyze the documents, extract the medical information, and store the documents so that an application can run SQL queries on the data. The solution must maximize scalability and operational efficiency.
Which combination of steps should the solutions architect take to meet these requirements? (Select TWO.)
Answer: A,D
Explanation:
Explanation
This solution meets the requirements of creating digital copies for a large collection of historical written records, analyzing the documents, extracting the medical information, and storing the documents so that an application can run SQL queries on the data. Writing the document information to an Amazon S3 bucket can provide scalable and durable storage for the scanned files. Using Amazon Athena to query the data can provide serverless and interactive SQL analysis on data stored in S3. Creating an AWS Lambda function that runs when new documents are uploaded can provide event-driven and serverless processing of the scanned files. Using Amazon Textract to convert the documents to raw text can provide accurate optical character recognition (OCR) and extraction of structured data such as tables and forms from documents using artificial intelligence (AI). Using Amazon Comprehend Medical to detect and extract relevant medical information from the text can provide natural language processing (NLP) service that uses machine learning that has been pre-trained to understand and extract health data from medical text.
Option A is incorrect because writing the document information to an Amazon EC2 instance that runs a MySQL database can increase the infrastructure overhead and complexity, and it may not be able to handle large volumes of data. Option C is incorrect because creating an Auto Scaling group of Amazon EC2 instances to run a custom application that processes the scanned files and extracts the medical information can increase the infrastructure overhead and complexity, and it may not be able to leverage existing AI and NLP services such as Textract and Comprehend Medical. Option D is incorrect because using Amazon Rekognition to convert the documents to raw text can provide image and video analysis, but it does not support OCR or extraction of structured data from documents. Using Amazon Transcribe Medical to detect and extract relevant medical information from the text can provide speech-to-text transcription service for medical conversations, but it does not support text analysis or extraction of health data from medical text.
References:
* https://aws.amazon.com/s3/
* https://aws.amazon.com/athena/
* https://aws.amazon.com/lambda/
* https://aws.amazon.com/textract/
* https://aws.amazon.com/comprehend/medical/
NEW QUESTION # 605
A company stores data in PDF format in an Amazon S3 bucket The company must follow a legal requirement to retain all new and existing data in Amazon S3 for 7 years.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: C
Explanation:
S3 Object Lock enables a write-once-read-many (WORM) model for objects stored in Amazon S3. It can help prevent objects from being deleted or overwritten for a fixed amount of time or indefinitely1. S3 Object Lock has two retention modes: governance mode and compliance mode. Compliance mode provides the highest level of protection and prevents any user, including the root user, from deleting or modifying an object version until the retention period expires. To use S3 Object Lock, a new bucket with Object Lock enabled must be created, and a default retention period can be optionally configured for objects placed in the bucket2.
To bring existing objects into compliance, they must be recopied into the bucket with a retention period specified.
Option A is incorrect because S3 Versioning and S3 Lifecycle do not provide WORM protection for objects.
Moreover, MFA delete only applies to deleting object versions, not modifying them.
Option B is incorrect because governance mode allows users with special permissions to override or remove the retention settings or delete the object if necessary. This does not meet the legal requirement of retaining all data for 7 years.
Option D is incorrect because S3 Batch Operations cannot be used to apply compliance mode retention periods to existing objects. S3 Batch Operations can only apply governance mode retention periods or legal holds. Reference URL: 2: https://docs.aws.amazon.com/AmazonS3/latest/userguide/object-lock-console.
html 3:https://docs.aws.amazon.com/AmazonS3/latest/userguide/storage-class-intro.html#sc-dynamic-data- access 4:https://docs.aws.amazon.com/AmazonS3/latest/userguide/transfer-acceleration.html 1: https://docs.
aws.amazon.com/AmazonS3/latest/userguide/object-lock.html : https://docs.aws.amazon.com/AmazonS3
/latest/userguide/object-lock-overview.html : https://docs.aws.amazon.com/AmazonS3/latest/userguide/object- lock-managing.html : https://aws.amazon.com/blogs/storage/managing-amazon-s3-access-with-vpc-endpoints- and-s3-access-points/
NEW QUESTION # 606
A company uses AWS to host a public website. The load on the webservers recently increased.
The company wants to learn more about the traffic flow and traffic sources. The company also wants to increase the overall security of the website. Which solution will meet these requirements?
Answer: D
Explanation:
AWS WAF (Web Application Firewall) is designed to protect public-facing web applications from common web exploits and allows for deep inspection of HTTP and HTTPS requests. By enabling logging on AWS WAF, you can gain insights into traffic flow, request sources, and blocked requests, which improves both security visibility and posture. Integrating AWS WAF logging with Amazon Kinesis Data Firehose allows automatic, near-real-time delivery of log data to Amazon S3 for analysis, reporting, or integration with analytics tools. This solution not only secures the website but also enables comprehensive traffic analysis, satisfying both requirements efficiently.
NEW QUESTION # 607
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