Exam Code | SAA-C03 |
Exam Name | AWS Certified Solutions Architect - Associate (SAA-C03) |
Questions | 550 Questions Answers With Explanation |
Update Date | November 08,2024 |
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A media company collects and analyzes user activity data on premises. The company wants to migrate this capability to AWS. The user activity data store will continue to grow and will be petabytes in size. The company needs to build a highly available data ingestion solution that facilitates on-demand analytics of existing data and new data with SQL. Which solution will meet these requirements with the LEAST operational overhead?
A. Send activity data to an Amazon Kinesis data stream. Configure the stream to deliver
the data to an Amazon S3 bucket.
B. Send activity data to an Amazon Kinesis Data Firehose delivery stream. Configure the stream to deliver the data to an Amazon Redshift cluster.
C. Place activity data in an Amazon S3 bucket. Configure Amazon S3 to run an AWS Lambda function on the data as the data arrives in the S3 bucket.
D. Create an ingestion service on Amazon EC2 instances that are spread across multiple Availability Zones. Configure the service to forward data to an Amazon RDS Multi-AZ database.
A company uses a legacy application to produce data in CSV format The legacy application stores the output data In Amazon S3 The company is deploying a new commercial off-theshelf (COTS) application that can perform complex SQL queries to analyze data that is stored Amazon Redshift and Amazon S3 only However the COTS application cannot process the csv files that the legacy application produces The company cannot update the legacy application to produce data in another format The company needs to implement a solution so that the COTS application can use the data that the legacy applicator produces. Which solution will meet these requirements with the LEAST operational overhead?
A. Create a AWS Glue extract, transform, and load (ETL) job that runs on a schedule.
Configure the ETL job to process the .csv files and store the processed data in Amazon
Redshit.
B. Develop a Python script that runs on Amazon EC2 instances to convert the. csv files to sql files invoke the Python script on cron schedule to store the output files in Amazon S3.
C. Create an AWS Lambda function and an Amazon DynamoDB table. Use an S3 event to invoke the Lambda function. Configure the Lambda function to perform an extract transform, and load (ETL) job to process the .csv files and store the processed data in the DynamoDB table.
D. Use Amazon EventBridge (Amazon CloudWatch Events) to launch an Amazon EMR cluster on a weekly schedule. Configure the EMR cluster to perform an extract, tractform, and load (ETL) job to process the .csv files and store the processed data in an Amazon Redshift table.
An ecommerce company has noticed performance degradation of its Amazon RDS based web application. The performance degradation is attributed to an increase in the number of read-only SQL queries triggered by business analysts. A solutions architect needs to solve the problem with minimal changes to the existing web application. What should the solutions architect recommend?
A. Export the data to Amazon DynamoDB and have the business analysts run their
queries.
B. Load the data into Amazon ElastiCache and have the business analysts run their queries.
C. Create a read replica of the primary database and have the business analysts run their queries.
D. Copy the data into an Amazon Redshift cluster and have the business analysts run their queries
A company hosts its application on AWS The company uses Amazon Cognito to manage users When users log in to the application the application fetches required data from Amazon DynamoDB by using a REST API that is hosted in Amazon API Gateway. The company wants an AWS managed solution that will control access to the REST API to reduce development efforts Which solution will meet these requirements with the LEAST operational overhead?
A. Configure an AWS Lambda function to be an authorize! in API Gateway to validate
which user made the request
B. For each user, create and assign an API key that must be sent with each request Validate the key by using an AWS Lambda function
C. Send the user's email address in the header with every request Invoke an AWS Lambda function to validate that the user with that email address has proper access
D. Configure an Amazon Cognito user pool authorizer in API Gateway to allow Amazon Cognito to validate each request
A gaming company is moving its public scoreboard from a data center to the AWS Cloud. The company uses Amazon EC2 Windows Server instances behind an Application Load Balancer to host its dynamic application. The company needs a highly available storage solution for the application. The application consists of static files and dynamic server-side code. Which combination of steps should a solutions architect take to meet these requirements? (Select TWO.) ' Store the static files on Amazon S3. Use Amazon
A. CloudFront to cache objects at the edge.
B. Store the static files on Amazon S3. Use Amazon ElastiCache to cache objects at the
edge.
C. Store the server-side code on Amazon Elastic File System (Amazon EFS). Mount the EFS volume on each EC2 instance to share the files.
D. Store the server-side code on Amazon FSx for Windows File Server. Mount the FSx for Windows File Server volume on each EC2 instance to share the files.
E. Store the server-side code on a General Purpose SSD (gp2) Amazon Elastic Block Store (Amazon EBS) volume. Mount the EBS volume on each EC2 instance to share the files.
A rapidly growing ecommerce company is running its workloads in a single AWS Region. A solutions architect must create a disaster recovery (DR) strategy that includes a different AWS Region The company wants its database to be up to date in the DR Region with the least possible latency The remaining infrastructure in the DR Region needs to run at reduced capacity and must be able to scale up it necessary Which solution will meet these requirements with the LOWEST recovery time objective (RTO)?
A. Use an Amazon Aurora global database with a pilot light deployment
B. Use an Amazon Aurora global database with a warm standby deployment
C. Use an Amazon RDS Multi-AZ DB instance with a pilot light deployment
D. Use an Amazon RDS Multi-AZ DB instance with a warm standby deployment
A company is building an application that consists of several microservices. The company has decided to use container technologies to deploy its software on AWS. The company needs a solution that minimizes the amount of ongoing effort for maintenance and scaling. The company cannot manage additional infrastructure. Which combination of actions should a solutions architect take to meet these requirements? (Choose two.)
A. Deploy an Amazon Elastic Container Service (Amazon ECS) cluster.
B. Deploy the Kubernetes control plane on Amazon EC2 instances that span multiple Availability Zones.
C. Deploy an Amazon Elastic Container Service (Amazon ECS) service with an Amazon EC2 launch type. Specify a desired task number level of greater than or equal to 2.
D. Deploy an Amazon Elastic Container Service (Amazon ECS) service with a Fargate launch type. Specify a desired task number level of greater than or equal to 2.
E. Deploy Kubernetes worker nodes on Amazon EC2 instances that span multiple Availability Zones. Create a deployment that specifies two or more replicas for each microservice.
A company hosts multiple production applications. One of the applications consists of resources from Amazon EC2, AWS Lambda, Amazon RDS, Amazon Simple Notification Service (Amazon SNS), and Amazon Simple Queue Service (Amazon SQS) across multiple AWS Regions. All company resources are tagged with a tag name of “application” and a value that corresponds to each application. A solutions architect must provide the quickest solution for identifying all of the tagged components. Which solution meets these requirements?
A. Use AWS CloudTrail to generate a list of resources with the application tag.
B. Use the AWS CLI to query each service across all Regions to report the tagged components.
C. Run a query in Amazon CloudWatch Logs Insights to report on the components with the application tag.
D. Run a query with the AWS Resource Groups Tag Editor to report on the resources globally with the application tag.
An application running on an Amazon EC2 instance in VPC-A needs to access files in another EC2 instance in VPC-B. Both VPCs are in separate AWS accounts. The network administrator needs to design a solution to configure secure access to EC2 instance in VPC-B from VPC-A. The connectivity should not have a single point of failure or bandwidth concerns. Which solution will meet these requirements?
A. Set up a VPC peering connection between VPC-A and VPC-B.
B. Set up VPC gateway endpoints for the EC2 instance running in VPC-B.
C. Attach a virtual private gateway to VPC-B and set up routing from VPC-A.
D. Create a private virtual interface (VIF) for the EC2 instance running in VPC-B and add appropriate routes from VPC-A.
A telemarketing company is designing its customer call center functionality on AWS. The company needs a solution that provides multiples speaker recognition and generates transcript files The company wants to query the transcript files to analyze the business patterns The transcript files must be stored for 7 years for auditing piloses. Which solution will meet these requirements?
A. Use Amazon Recognition for multiple speaker recognition. Store the transcript files in Amazon S3 Use machine teaming models for transcript file analysis
B. Use Amazon Transcribe for multiple speaker recognition. Use Amazon Athena tot transcript file analysts
C. Use Amazon Translate lor multiple speaker recognition. Store the transcript files in Amazon Redshift Use SQL queues lor transcript file analysis
D. Use Amazon Recognition for multiple speaker recognition. Store the transcript files in Amazon S3 Use Amazon Textract for transcript file analysis
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