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SAP-C01 Exam Dumps - AWS Certified Solutions Architect - Professional

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Question # 41

A large education company recently introduced Amazon Workspaces to provide access to internal applications across multiple universities. The company is storing user proxies on an Amazon FSx for Windows File Server tile system. The Me system is configured with a DNS alias and is connected to a self-managed Active Directory As more users begin to use the Workspaces login time increases to unacceptable levels

An investigation reveals a degradation in performance of the file system. The company created the file system on HDD storage with a throughput of 16 MBps A solutions architect must improve the performance of the file system during a defined maintenance window

What should the solutions architect do to meet these requirements with the LEAST administrative effort?

Use AWS Backup to create a point-in-time backup of the file system Restore the backup to a new FSx for Windows File Server file system Select SSD as the storage type Select 32 MBps as the throughput capacity When the backup and restore process is completed adjust the DNS alias accordingly Delete the original file system

Disconnect users from the file system In the Amazon FSx console, update the throughput capacity to 32 MBps Update the storage type to SSD Reconnect users to the file system

Deploy an AWS DataSync agent onto a new Amazon EC2 instance. Create a task Configure the existing file system as the source location Configure a new FSx for

Windows File Server file system with SSD storage and 32 MBps of throughput as the target location Schedule the task When the task is completed adjust the DNS alias accordingly Delete the original file system.

Enable shadow copies on the existing file system by using a Windows PowerShell command Schedule the shadow copy job to create a point-in-time backup of the file system Choose to restore previous versions Create a new FSx for Windows File Server file system with SSD storage and 32 MBps of throughput When the copy job is completed, adjust the DNS alias Delete the original file system

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Question # 42

A company runs a serverless application in a single AWS Region. The application accesses external URLs and extracts metadata from those sites. The company uses an Amazon Simple Notification Service (Amazon SNS) topic to publish URLs to an Amazon Simple Queue Service (Amazon SQS) queue An AWS Lambda function uses the queue as an event source and processes the URLs from the queue Results are saved to an Amazon S3 bucket

The company wants to process each URL other Regions to compare possible differences in site localization URLs must be published from the existing Region. Results must be written to the existing S3 bucket in the current Region.

Which combination of changes will produce multi-Region deployment that meets these requirements? (Select TWO.)

Deploy the SOS queue with the Lambda function to other Regions.

Subscribe the SNS topic in each Region to the SQS queue.

Subscribe the SQS queue in each Region to the SNS topics in each Region.

Configure the SQS queue to publish URLs to SNS topics in each Region.

Deploy the SNS topic and the Lambda function to other Regions.

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Question # 43

A company has an on-premises monitoring solution using a PostgreSQL database for persistence of events. The database is unable to scale due to heavy ingestion and it frequently runs out of storage.

The company wants to create a hybrid solution and has already set up a VPN connection between its network and AWS. The solution should include the following attributes:

â€¢ Managed AWS services to minimize operational complexity

â€¢ A buffer that automatically scales to match the throughput of data and requires no on-going administration.

â€¢ A visualization toot to create dashboards to observe events in near-real time.

â€¢ Support for semi -structured JSON data and dynamic schemas.

Which combination of components will enabledÂ© company to create a monitoring solution that will satisfy these requirements'' (Select TWO.)

Use Amazon Kinesis Data Firehose to buffer events Create an AWS Lambda function 10 process and transform events

Create an Amazon Kinesis data stream to buffer events Create an AWS Lambda function to process and transform evens

Configure an Amazon Aurora PostgreSQL DB cluster to receive events Use Amazon Quick Sight to read from the database and create near-real-time visualizations and dashboards

Configure Amazon Elasticsearch Service (Amazon ES) to receive events Use the Kibana endpoint deployed with Amazon ES to create near-real-time visualizations and dashboards.

Configure an Amazon Neptune 0 DB instance to receive events Use Amazon QuickSight to read from the database and create near-real-time visualizations and dashboards

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