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| Certification Vendor: | Amazon Web Services (AWS) |
|---|---|
| Exam Name: | AWS Certified Solutions Architect – Associate (SAA-C03) |
| Exam Number: | SAA-C03 |
| Passing Score: | 720 (scaled score out of 1000) |
| Available Languages: | English, Simplified Chinese, Japanese, Korean |
| Exam Price: | 150 USD |
| Related Certifications: | AWS Certified Solutions Architect – Professional AWS Certified SysOps Administrator – Associate AWS Certified Developer – Associate |
| Certificate Validity Period: | 3 years |
| Exam Duration: | 130 minutes |
| Real Exam Qty: | 65 (approximate; multiple choice and multiple response) |
| Exam Format: | Multiple choice, Multiple response |
| Recommended Training: | AWS Solutions Architect Learning Path AWS Skill Builder |
| Exam Registration: | Pearson VUE Registration AWS Certification Portal |
| Sample Questions: | Amazon SAA-C03 Sample Questions |
| Exam Way: | Online proctored or test center exam via Pearson VUE |
| Pre Condition: | No formal 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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NEW QUESTION # 181
A company tracks customer satisfaction by using surveys that the company hosts on its website. The surveys sometimes reach thousands of customers every hour. Survey results are currently sent in email messages to the company so company employees can manually review results and assess customer sentiment.
The company wants to automate the customer survey process. Survey results must be available for the previous 12 months.
Which solution will meet these requirements in the MOST scalable way?
Answer: B
Explanation:
This solution is the most scalable and efficient way to handle large volumes of survey data while automating sentiment analysis:
API Gateway and SQS: The survey results are sent to API Gateway, which forwards the data to an SQS queue. SQS can handle large volumes of messages and ensures that messages are not lost.
AWS Lambda: Lambda is triggered by polling the SQS queue, where it processes the survey data.
Amazon Comprehend: Comprehend is used for sentiment analysis, providing insights into customer satisfaction.
DynamoDB with TTL: Results are stored in DynamoDB with aTime to Live (TTL)attribute set to expire after
365 days, automatically removing old data and reducing storage costs.
Option B (EC2 API): Running an API on EC2 requires more maintenance and scalability management compared to API Gateway.
Option C (S3 and Rekognition): Amazon Rekognition is for image and video analysis, not sentiment analysis.
Option D (Amazon Lex): Amazon Lex is used for building conversational interfaces, not sentiment analysis.
AWS References:
Amazon Comprehend for Sentiment Analysis
Amazon SQS
DynamoDB TTL
NEW QUESTION # 182
[Design High-Performing Architectures]
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-gateway.html
NEW QUESTION # 183
[Design High-Performing Architectures]
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 dat a. 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:
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 leverageexisting 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.
Reference:
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 # 184
A company has an on-premises application that generates a large amount of time-sensitive data that is backed up to Amazon S3. The application has grown and there are user complaints about internet bandwidth limitations. A solutions architect needs to design a long-term solution that allows for both timely backups to Amazon S3 and with minimal impact on internet connectivity for internal users.
Which solution meets these requirements?
Answer: D
Explanation:
Explanation
To address the issue of bandwidth limitations on the company's on-premises application, and to minimize the impact on internal user connectivity, a new AWS Direct Connect connection should be established to direct backup traffic through this new connection. This solution will offer a secure, high-speed connection between the company's data center and AWS, which will allow the company to transfer data quickly without consuming internet bandwidth.
Reference:
AWS Direct Connect documentation: https://aws.amazon.com/directconnect/
NEW QUESTION # 185
A company's data platform uses an Amazon Aurora MySQL database. The database has multiple read replicas and multiple DB instances across different Availability Zones. Users have recently reported errors from the database that indicate that there are too many connections. The company wants to reduce the failover time by
20% when a read replica is promoted to primary writer.
Which solution will meet this requirement?
Answer: A
Explanation:
Amazon RDS Proxy is a service that provides a fully managed, highly available database proxy for Amazon RDS and Aurora databases. It allows you to pool and share database connections, reduce database load, and improve application scalability and availability.
By using Amazon RDS Proxy in front of your Aurora database, you can achieve the following benefits:
You can reduce the number of connections to your database and avoid errors that indicate that there are too many connections. Amazon RDS Proxy handles the connection management and multiplexing for you, so you can use fewer database connections and resources.
You can reduce the failover time by 20% when a read replica is promoted to primary writer. Amazon RDS Proxy automatically detects failures and routes traffic to the new primary instance without requiring changes to your application code or configuration. According to a benchmark test, using Amazon RDS Proxy reduced the failover time from 66 seconds to 53 seconds, which is a 20% improvement.
You can improve the security and compliance of your database access. Amazon RDS Proxy integrates with AWS Secrets Manager and AWS Identity and Access Management (IAM) to enable secure and granular authentication and authorization for your database connections.
NEW QUESTION # 186
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