SAA-C03 Exam Dumps - AWS Certified Solutions Architect - Associate (SAA-C03)

Go to page:

<< First
Prev
4
5
6
7
8
9
10
11
12
13
Next
Last >>

Question # 65

A marketing company receives a large amount of new clickstream data in Amazon S3 from a marketing campaign The company needs to analyze the clickstream data in Amazon S3 quickly. Then the company needs to determine whether to process the data further in the data pipeline.

Which solution will meet these requirements with the LEAST operational overhead?

Create external tables in a Spark catalog Configure jobs in AWS Glue to query the data

Configure an AWS Glue crawler to crawl the data. Configure Amazon Athena to query the data.

Create external tables in a Hive metastore. Configure Spark jobs in Amazon EMR to query the data.

Configure an AWS Glue crawler to crawl the data. Configure Amazon Kinesis Data Analytics to use SQL to query the data

Full Access

Question # 66

A company recently migrated to AWS and wants to implement a solution to protect the traffic that flows in and out of the production VPC. The company had an inspection server in its on-premises data center. The inspection server performed specific operations such as traffic flow inspection and traffic filtering. The company wants to have the same functionalities in the AWS Cloud.

Which solution will meet these requirements?

Use Amazon GuardDuty for traffic inspection and traffic filtering in the production VPC

Use Traffic Mirroring to mirror traffic from the production VPC for traffic inspection and filtering.

Use AWS Network Firewall to create the required rules for traffic inspection and traffic filtering for the production VPC.

Use AWS Firewall Manager to create the required rules for traffic inspection and traffic filtering for the production VPC.

Full Access

Question # 67

A company runs an application that receives data from thousands of geographically dispersed remote devices that use UDP The application processes the data immediately and sends a message back to the device if necessary No data is stored.

The company needs a solution that minimizes latency for the data transmission from the devices. The solution also must provide rapid failover to another AWS Region

Which solution will meet these requirements?

Configure an Amazon Route 53 failover routing policy Create a Network Load Balancer (NLB) in each of the two Regions Configure the NLB to invoke an AWS Lambda function to process the data

Use AWS Global Accelerator Create a Network Load Balancer (NLB) in each of the two Regions as an endpoint. Create an Amazon Elastic Container Service (Amazon ECS) cluster with the Fargate launch type Create an ECS service on the cluster Set the ECS service as the target for the NLB Process the data in Amazon ECS.

Use AWS Global Accelerator Create an Application Load Balancer (ALB) in each of the two Regions as an endpoint Create an Amazon Elastic Container Service (Amazon ECS) cluster with the Fargate launch type Create an ECS service on the cluster. Set the ECS service as the target for the ALB Process the data in Amazon ECS

Configure an Amazon Route 53 failover routing policy Create an Application Load Balancer (ALB) in each of the two Regions Create an Amazon Elastic Container Service (Amazon ECS) cluster with the Fargate launch type Create an ECS service on the cluster Set the ECS service as the target for the ALB Process the data in Amazon ECS

Full Access

Question # 68

A company is using Amazon CloudFront with this website. The company has enabled logging on the CloudFront distribution, and logs are saved in one of the company's Amazon S3 buckets The company needs to perform advanced analyses on the logs and build visualizations

What should a solutions architect do to meet these requirements'?

Use standard SQL queries in Amazon Athena to analyze the CloudFront togs in the S3 bucket Visualize the results with AWS Glue

Use standard SQL queries in Amazon Athena to analyze the CloudFront togs in the S3 bucket Visualize the results with Amazon QuickSight

Use standard SQL queries in Amazon DynamoDB to analyze the CloudFront logs m the S3 bucket Visualize the results with AWS Glue

Use standard SQL queries in Amazon DynamoDB to analyze the CtoudFront logs m the S3 bucket Visualize the results with Amazon QuickSight

Full Access

Question # 69

A company is running a batch application on Amazon EC2 instances. The application consists of a backend with multiple Amazon RDS databases. The application is causing a high number of leads on the databases. A solutions architect must reduce the number of database reads while ensuring high availability.

What should the solutions architect do to meet this requirement?

Add Amazon RDS read replicas

Use AmazonElastCache for Redis

Use Amazon Route 53 DNS caching

Use Amazon ElastiCache for Memcached

Full Access

Question # 70

A company's application integrates with multiple software-as-a-service (SaaS) sources for data collection. The company runs Amazon EC2 instances to receive the data and to upload the data to an Amazon S3 bucket for analysis. The same EC2 instance that receives and uploads the data also sends a notification to the user when an upload is complete. The company has noticed slow application performance and wants to improve the performance as much as possible.

Which solution will meet these requirements with the LEAST operational overhead?

Create an Auto Scaling group so that EC2 instances can scale out. Configure an S3 event notification to send events to an Amazon Simple Notification Service (Amazon SNS) topic when the upload to the S3 bucket is complete.

Create an Amazon AppFlow flow to transfer data between each SaaS source and the S3 bucket. Configure an S3 event notification to send events to an Amazon Simple Notification Service (Amazon SNS) topic when the upload to the S3 bucket is complete.

Create an Amazon EventBridge (Amazon CloudWatch Events) rule for each SaaS source to send output data. Configure the S3 bucket as the rule's target. Create a second EventBridge (CloudWatch Events) rule to send events when the upload to the S3 bucket is complete.Configure an Amazon Simple Notification Service (Amazon SNS) topic as the second rule's target.

Create a Docker container to use instead of an EC2 instance. Host the containerized application on Amazon Elastic Container Service (Amazon ECS). Configure Amazon CloudWatch Container Insights to send events to an Amazon Simple Notification Service (Amazon SNS) topic when the upload to the S3 bucket is complete.

Full Access

Question # 71

An ecommerce company wants to launch a one-deal-a-day website on AWS. Each day will feature exactly one product on sale for a period of 24 hours. The company wants to be able to handle millions of requests each hour with millisecond latency during peak hours.

Which solution will meet these requirements with the LEAST operational overhead?

Use Amazon S3 to host the full website in different S3 buckets Add Amazon CloudFront distributions Set the S3 buckets as origins for the distributions Store the order data in Amazon S3

Deploy the full website on Amazon EC2 instances that run in Auto Scaling groups across multiple Availability Zones Add an Application Load Balancer (ALB) to distribute the website traffic Add another ALB for the backend APIs Store the data in Amazon RDS for MySQL

Migrate the full application to run in containers Host the containers on Amazon Elastic Kubernetes Service (Amazon EKS) Use the Kubernetes Cluster Autoscaler to increase and decrease the number of pods to process bursts in traffic Store the data in Amazon RDS for MySQL

Use an Amazon S3 bucket to host the website's static content Deploy an Amazon CloudFront distribution. Set the S3 bucket as the origin Use Amazon API Gateway and AWS Lambda functions for the backend APIs Store the data in Amazon DynamoDB

Full Access

Question # 72

A telemarketing company is designing its customer call center functionality on AWS. The company needs a solution that provides multiple speaker recognition and generates transcript files. The company wants to query the transcript files to analyze the business patterns.

Which solution will meet these requirements?

Use Amazon Rekognition for multiple speaker recognition. Store the transcript files in Amazon S3. Use machine learning (ML) models to analyze the transcript files.

Use Amazon Transcribe for multiple speaker recognition. Use Amazon Athena to analyze the transcript files.

Use Amazon Translate for multiple speaker recognition. Store the transcript files in Amazon Redshift. Use SQL queries to analyze the transcript files.

Use Amazon Rekognition for multiple speaker recognition. Store the transcript files in Amazon S3. Use Amazon Textract to analyze the transcript files.

Full Access