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Download AWS Certified Solutions Architect - Professional Exam Dumps
NEW QUESTION 49
A company wants to retire its Oracle Solaris NFS storage arrays. The company requires rapid data migration over its internet network connection to a combination of destinations for Amazon S3. Amazon Elastic File System (Amazon EFS), and Amazon FSx lor Windows File Server. The company also requires a full initial copy, as well as incremental transfers of changes until the retirement of the storage arrays. All data must be encrypted and checked for integrity.
What should a solutions architect recommend to meet these requirements?
- A. Configure CloudEndure. Create a project and deploy the CloudEndure agent and token to the storage array. Run the migration plan to start the transfer.
- B. Configure the aws S3 sync command. Configure the AWS client on the client side with credentials. Run the sync command to start the transfer.
- C. Configure AWS Transfer (or FTP. Configure the FTP client with credentials. Script the client to connect and sync to start the transfer.
- D. Configure AWS DataSync. Configure the DataSync agent and deploy it to the local network. Create a transfer task and start the transfer.
Answer: D
NEW QUESTION 50
A company operates pipelines across North America and South America. The company assesses pipeline inspection gauges with imagery and ultrasonic sensor data to monitor the condition of its pipelines. The pipelines are in areas with intermittent or unavailable internet connectivity. The imager data at each site requires terabytes of storage each month. The company wants a solution to collect the data at each site in monthly intervals and to store the data with high durability. The imagery captured must be preprocessed and uploaded to a central location for persistent Storage.
Which actions should a solutions architect take to meet these requirements?
- A. Deploy AWS IoT Greengrass on eligible hardware across the sites. Configure AWS Lambda on the devices for preprocessing. Ship the devices back to the closest AWS Region and store the data in Amazon S3 buckets
- B. Deploy AWS Snowball devices at local sites in a cluster configuration. Configure AWS Lambda for preprocessing. Ship the devices back to the closest AWS Region and store the data in Amazon S3 buckets
- C. Deploy AWS Snowball Edge devices at local sites in a cluster configuration. Configure AWS Lambda for preprocessing Ship the devices back to the closest AWS Region and store the date in Amazon S3 buckets.
- D. Deploy AWS IoT Greengrass on eligible hardware across the sites. Configure AWS Lambda on the devices for preprocessing Upload the processed date to Amazon S3 buckets in AWS Regions closest to the sites
Answer: D
NEW QUESTION 51
A solutions architect is designing an application to accept timesheet entries from employees on their mobile devices. Timesheets will be submitted weekly, with most of the submissions occurring on Friday. The data must be stored in a format that allows payroll administrators to run monthly reports. The infrastructure must be highly available and scale to match the rate of incoming data and reporting requests.
Which combination of steps meets these requirements while minimizing operational overhead? (Select TWO.)
- A. Store the timesheet submission data in Amazon S3 Use Amazon Athena and Amazon QuickSight to generate the reports using Amazon S3 as the data source.
- B. Deploy the application to Amazon EC2 On-Demand Instances with load balancing across multiple Availability Zones. Use scheduled Amazon EC2 Auto Scaling to add capacity before the high volume of submissions on Fridays.
- C. Store the timesheet submission data in Amazon Redshift. Use Amazon QuickSight to generate the reports using Amazon Redshift as the data source.
- D. Deploy the application in a container using Amazon Elastic Container Service (Amazon ECS) with load balancing across multiple Availability Zones. Use scheduled Service Auto Scaling to add capacity before the high volume of submissions on Fridays.
- E. Deploy the application front end to an Amazon S3 bucket served by Amazon CloudFront. Deploy the application backend using Amazon API Gateway with an AWS Lambda proxy integration.
Answer: A,B
NEW QUESTION 52
A photo-sharing and publishing company receives 10,000 to 150,000 images daily. The company receives the images from multiple suppliers and users registered with the service. The company is moving to AWS and wants to enrich the existing metadata by adding data using Amazon Rekognition.
The following is an example of the additional data:
As part of the cloud migration program, the company uploaded existing image data to Amazon S3 and told users to upload images directly to Amazon S3.
What should the Solutions Architect do to support these requirements?
- A. Use Amazon Kinesis to stream data based on an S3 event. Use an application running in Amazon EC2 to extract metadata from the images. Then store the data on Amazon DynamoDB and Amazon CloudSearch and create an index. Use a web front-end with search capabilities backed by CloudSearch.
- B. Trigger AWS Lambda based on an S3 event notification to create additional metadata using Amazon Rekognition. Use Amazon RDS MySQL Multi-AZ to store the metadata information and use Lambda to create an index. Use a web front-end with search capabilities backed by Lambda.
- C. Start an Amazon SQS queue based on S3 event notifications. Then have Amazon SQS send the metadata information to Amazon DynamoDB. An application running on Amazon EC2 extracts data from Amazon Rekognition using the API and adds data to DynamoDB and Amazon ES. Use a web front-end to provide search capabilities backed by Amazon ES.
- D. Trigger AWS Lambda based on an S3 event notification to create additional metadata using Amazon Rekognition. Use Amazon DynamoDB to store the metadata and Amazon ES to create an index. Use a web front-end to provide search capabilities backed by Amazon ES.
Answer: B
NEW QUESTION 53
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